Google Ads Keyword Research: Finding High-Intent B2B Terms in 2026

2026-01-18

37 min read

Part 1: The Four Layers of B2B Intent

Not all keywords are created equal.

In B2B, we categorise keywords by "Wallet Proximity".

The closer a keyword is to budget, vendor comparison, implementation, pricing or urgent business pain, the more seriously you should treat it.

The further it is from commercial action, the more careful you need to be.

Layer 1: Problem Aware (The "How-To")

Query: "how to track employee time"
Intent: Educational. They have a problem but are not necessarily looking for a product yet.
Strategy: Usually avoid for direct Paid Search. This is often an SEO, YouTube or remarketing play. If you bid here, your cost per click may be low, but your demo booking rate may also be low.

Problem-aware keywords are not useless.

They are just early.

The user knows something is wrong.

They may not know the category.

They may not know the type of tool.

They may not have budget.

They may be an employee researching a process, not a buyer.

This makes them risky for paid search.

Examples:

how to track employee time
how to reduce invoice errors
how to manage sales pipeline
how to stop phishing emails
how to improve staff scheduling

These are often better for:

SEO content.
YouTube explainers.
Lead magnets.
Remarketing pools.
Newsletter capture.
Educational campaigns.

You can use paid media here, but do it carefully.

Do not send these users straight to "Book a Demo".

They are probably not ready.

Give them a guide, calculator, checklist or comparison resource first.

Layer 2: Solution Aware (The "Software")

Query: "employee time tracking software"
Intent: Evaluation. They know the solution category.
Strategy: Core Campaign. Moderate CPC, decent volume, clear commercial value.

This is where B2B paid search usually begins.

The user knows they need software, a platform, an agency, a service or a provider.

They may not know who to choose yet.

Examples:

employee time tracking software
accounts payable automation platform
crm software for sales teams
cybersecurity services for business
hotel revenue management software

These are strong keywords because the user has moved from problem to solution.

They are no longer asking what the problem means.

They are looking for a category.

Your ad should be clear.

Your landing page should explain:

What the solution does.
Who it is for.
What makes it different.
What proof exists.
What the next step is.
Whether the product fits their company size or use case.

Do not send solution-aware traffic to a vague homepage.

Build category-specific pages.

Layer 3: Feature Aware (The "Specifics")

Query: "time tracking with jira integration"
Intent: High. They have specific requirements.
Strategy: High Priority. Use "Integration", "feature", "industry" and "workflow" keywords to qualify the lead instantly.

Feature-aware keywords are often more valuable than broad software terms.

The user knows what they need.

They are not just browsing.

They have a requirement.

That requirement may come from a real internal process.

Examples:

time tracking with jira integration
crm with whatsapp integration
invoice approval workflow software
hotel booking engine with channel manager
iso 27001 compliance software
single sign on hr software
salesforce integration accounting software

These keywords often have lower volume.

But they can produce higher quality leads because the need is specific.

Your ad should mirror the requirement.

Your landing page should prove the feature exists.

If the user searches for Jira integration, do not send them to a generic product page that never mentions Jira.

Send them to an integration page or a section that clearly confirms compatibility.

Specificity builds trust.

Layer 4: Brand/Competitor Aware (The "Wallet Out")

Query: "Toggl alternative", "Harvest vs Clockify pricing"
Intent: Immediate. They are comparing vendors.
Strategy: Max Bids where profitable. These users are close to a decision, but the campaign needs careful copy and landing pages.

This is the sharp end of B2B search.

The user knows the market.

They know vendor names.

They are comparing.

They may already be unhappy with a current provider.

Examples:

salesforce alternative
hubspot vs pipedrive
toggl pricing
best alternative to asana
monday.com competitor
xero vs quickbooks for small business
clockify enterprise pricing

These searches can be very valuable.

They can also be expensive.

Competitor keywords often have lower Quality Score because your brand is not the brand being searched.

You need a proper comparison page.

You need a clear reason to switch.

You need honest copy.

Do not trick the user.

Do not pretend to be the competitor.

Do not make claims you cannot prove.

A strong competitor page should answer:

Who is your product best for?
Who is the competitor best for?
Where are you stronger?
Where are they stronger?
How does pricing compare?
How difficult is switching?
Is migration supported?
What proof supports the claim?

This is not only keyword targeting.

It is positioning.

Part 2: The "Pain Point" Mapping Method

Stop looking for "industry keywords" first.

Start looking for "pain keywords."

Industry keywords are broad.

Pain keywords are specific.

Industry keywords describe the category.

Pain keywords describe the reason someone is searching.

A person does not wake up and think:

"I need a revenue operations enablement platform."

They think:

"Our sales reports are wrong again."

"Our team keeps missing follow-ups."

"We cannot see pipeline clearly."

"The CRM is full of duplicates."

"Finance keeps chasing late invoices."

That is where good keyword research begins.

The Framework:

Interview your Sales Team. Ask: "What specific problem was the prospect trying to solve when they contacted us?"
Map to Queries.

Pain Point	Traditional Keyword	Pain-Based Keyword
"Our bills are always late"	accounting software	"automated invoice reminders"
"It takes too long to export"	video editor	"fast rendering video editor"
"We keep getting hacked"	cybersecurity	"ransomware protection for enterprise"

Why this works:

Pain-based keywords often have lower volume but stronger conversion intent.

You are intercepting the user at the moment of frustration.

That matters.

In B2B, urgency often comes from pain.

Pain creates budget.

Pain creates internal discussion.

Pain creates stakeholder pressure.

Pain creates the reason to change.

A good pain-point keyword process includes:

Sales call notes.
CRM lost deal reasons.
Support tickets.
Customer reviews.
Competitor reviews.
Reddit and forum discussions where relevant.
G2 and Capterra reviews.
Customer interviews.
Demo transcripts.
Chat logs.
Search Console queries.
Internal site search queries.

Look for repeated words.

For example:

"too slow"
"manual"
"messy"
"duplicate"
"compliance"
"integration"
"migration"
"approval"
"reporting"
"audit"
"handover"
"visibility"
"forecast"
"pricing"
"implementation"

These words are often more useful than broad category terms.

They reveal the job the buyer needs done.

That is the foundation of high-intent B2B keyword research.

Part 3: Competitor Reverse Engineering (The Lazy Way)

Why guess when your competitors have already spent money testing?

Competitor research will not give you perfect truth.

Tools estimate.

Competitors make mistakes.

Some advertisers keep bad campaigns live.

But competitor research still helps you find ideas faster.

Tools Needed:

SpyFu / SEMrush / Ahrefs / Similarweb where available.
Manual Google searches.
Google Ads Auction Insights.
Google Ads Transparency Center.
Keyword Planner.

The Workflow

Identify your top 3 competitors.
Plug their domain into a tool like SEMrush → "Advertising Research".
Filter: Look for keywords they appear to have been bidding on for more than 6 months.
- Logic: If they have paid for a keyword for months, it may be profitable, or at least strategically important.
Export this list. This is your "Seed List".

But do not upload it blindly.

A competitor keyword list is not a campaign plan.

It is raw material.

You need to filter it.

Ask:

Does this keyword match our offer?
Does it match our price point?
Does it match our target company size?
Does it match our sales process?
Does it produce buyer intent?
Can we build a relevant ad?
Can we build a relevant landing page?
Can we handle the lead?
Is this keyword likely to produce pipeline?
Is the competitor possibly wasting spend?

Then classify each keyword into:

Core.
Feature.
Industry.
Competitor.
Problem.
Informational.
Negative.
Content-only.
Test.
Ignore.

Competitor research should speed up your thinking.

It should not replace it.

Part 4: Keyword Planner "Hack" for B2B

Google Keyword Planner can hide nuance.

It may group similar terms.

It may show wide volume ranges.

It may understate very specific long-tail searches.

It may push you towards broader terms with more volume.

That can be dangerous in B2B.

The better way is to use Keyword Planner with specific pages.

How to get more granular ideas:

Open Keyword Planner.
Select "Start with a Website".
Enter your competitor's pricing page, integration page, solution page or comparison page.
Review the keyword ideas Google associates with that page.
Filter for buyer intent.

This can surface terms like:

enterprise license cost
per user billing
crm migration pricing
jira time tracking integration
salesforce alternative pricing
implementation fee
single sign on software
audit trail software
workflow approval system
crm for manufacturing

The page you choose matters.

A homepage gives broad ideas.

A pricing page gives commercial ideas.

An integration page gives feature ideas.

A competitor comparison page gives switching ideas.

A case study gives industry ideas.

Use multiple page types.

For example:

Competitor homepage.
Competitor pricing page.
Competitor integrations page.
Competitor industry page.
Competitor alternatives page.
Your own best landing page.
Your own pricing page.
Your own blog post that ranks organically.
Your own product feature page.
Your own case study.

Then compare themes.

The goal is not just keywords.

The goal is intent coverage.

Part 5: The "Qualifier" Strategy (Negative Keywords)

In 2026, Broad Match can be aggressive.

Phrase Match can still expand.

Exact Match is not always exact in the old sense.

That means negative keywords matter.

A B2B account without a strong negative keyword strategy is exposed.

You need to verify who is searching and why.

B2B Negative Keyword List (The Required Blockers):

Employment: jobs, hiring, salary, resume, intern, part-time.
Education: course, learn, tutorial, definition, wiki, example, template, unless you use templates as a lead magnet.
Price Sensitive: free, cheap, open source, crack, nulled.
Consumer: home, personal, diy.

These words are not always bad.

Context matters.

"Free demo" can be useful.

"Free CRM" may be poor if you sell enterprise software.

"Template" may be poor for demo campaigns, but useful for content campaigns.

"Course" may be poor for software, but useful if you sell training.

So do not blindly paste negatives into every account.

Use them as a starting library.

Then customise.

Pro Tip:

If you sell Enterprise Software, you may add "small business" as a negative keyword if your minimum contract value makes small companies unprofitable.

But be careful.

Some enterprise buyers search from smaller offices.

Some consultants search on behalf of large companies.

Some "small business" terms may still produce qualified mid-market leads.

Use CRM data before making aggressive exclusions.

A good negative strategy has layers:

Universal negatives: jobs, salary, login, support, crack, torrent.
Campaign negatives: brand terms in generic campaigns, competitor terms where not wanted.
Intent negatives: free, template, tutorial, definition where not useful.
Audience fit negatives: small business, personal, home where not relevant.
Product fit negatives: features or industries you do not serve.
Location negatives: areas you do not serve.
Support negatives: refund, cancel, phone number, complaints where acquisition is the goal.

Negative keywords protect spend.

But overblocking can kill opportunity.

Review before applying.

Part 6: How to Organize Keywords (The STAG Method)

Do not dump all keywords into one ad group.

Use Single Topic Ad Groups (STAGs).

A STAG groups keywords by shared intent.

Not by tiny syntax variations.

Not by old-school SKAG logic.

Not by dumping everything into one broad bucket.

The ad copy must make sense for every keyword in the ad group.

That is the rule.

Campaign: SaaS - Core

Ad Group: Integrations
- software with zapier
- slack integration crm
Ad Group: Alternatives
- better than salesforce
- hubspot competitor
Ad Group: Features
- email automation tool
- visual pipeline builder

Why?

The ad copy for "Integrations" must mention "Connects with your stack."

The ad copy for "Alternatives" must mention "Switch and save" or another honest switching benefit.

The ad copy for "Features" must mention the actual feature.

A good STAG structure improves:

Ad relevance.
Landing page match.
Search term control.
Reporting clarity.
Negative keyword management.
Testing quality.
RSA coherence.
Conversion rate.

A bad structure creates generic ads.

Generic ads attract weaker traffic.

Weaker traffic creates worse data.

Worse data hurts bidding.

The structure matters.

Part 7: Validating Keywords with "Micro-Testing"

Before you commit your annual budget, run a Validation Sprint.

Keyword research is theory until the market responds.

A micro-test helps you see whether the terms are real.

Create a new Campaign: "Test - High Intent".
Budget: $500 total, or an amount suitable for your CPC.
Keywords: Pick your top 20 "Pain Point" keywords.
Bidding: Maximize Clicks with a bid cap, Manual CPC, or a conservative Smart Bidding setup depending on account data.
Duration: Run until you have enough clicks and search term data to judge.
Analysis: Check the Search Terms Report.
- Are the actual queries relevant?
- Did anyone convert?
- Did they become qualified leads?
- Did the terms attract the right company size?
- Was the landing page a good match?
- If quality is strong, graduate them to your main campaign.

Be careful with fixed click targets like 500 clicks.

In B2B, 500 clicks may be too expensive in some niches.

In others, it may not be enough.

Use judgement.

The point is not the exact number.

The point is to validate before scaling.

A good validation sprint should review:

Search terms.
CTR.
CPC.
Conversion rate.
Cost per lead.
Lead quality.
CRM notes.
Company size.
Job title.
Sales feedback.

Do not graduate a keyword because it generated cheap leads.

Graduate it because it generated the right leads.

Part 8: Broad Match in 2026?

Should you use Broad Match for B2B?

Yes, but carefully.

Broad Match can be powerful because Google understands more context than it used to.

It can find long-tail searches you would never add manually.

It can match related intent.

It can help scale.

But it can also waste money if the account is not ready.

The "Risk" with Broad Match:

Keyword: crm software

Matches to weak intent such as:

free crm for students

crm job description

how to learn crm

crm login

The "Power" of Broad Match:

Keyword: crm software

Can match useful intent such as:

best enterprise contact management platform for healthcare

crm with sales forecasting for manufacturing

customer database software for b2b sales team

The Rule:

Only use Broad Match when you have strong guardrails:

Smart Bidding Enabled such as tCPA or tROAS where appropriate.
Offline Conversion Imports (OCI) or lead quality feedback where possible, so Google knows what a qualified lead looks like.
Negative Keywords heavily populated and reviewed often.
Clear conversion goals that reflect real business value.
Search term reviews after launch.
Budget controls while testing.
Landing pages that support broad intent.
CRM validation of lead quality.

Without these guardrails, Broad Match can become expensive.

It is not "set and forget".

It is "test and govern".

Part 10: Advanced Tech: Using Regex for Keyword Filtering

When you download a list of 10,000 search terms, normal filters can become slow.

Use Regular Expressions (Regex) where supported, or use spreadsheet formulas and scripts, to find patterns faster.

Regex helps you detect intent tokens.

1. The "Question" Filter (Upper Funnel)

Finds users asking questions.

Regex: \b(who|what|where|when|why|how)\b
Action: Review these carefully. Exclude them from demo campaigns if they are too educational. Add them to content campaigns where useful.

2. The "Comparison" Filter (Bottom Funnel)

Finds users comparing options.

Regex: \b(vs|versus|or|compare|comparison|alternative|competitor|review|reviews)\b
Action: Consider higher priority if you have comparison pages and strong positioning.

3. The "Urgency" Filter

Finds users who need it now.

Regex: \b(fast|urgent|emergency|now|24h|today|same day)\b
Action: Use stronger CTA copy, call assets or urgent service landing pages where appropriate.

Regex is not magic.

It is a sorting tool.

The human still decides what the pattern means.

For example:

"review" can be commercial.

"employee review software" is not the same as "software review article".

Always inspect samples before adding negatives.

Part 11: Python Script for Keyword Clustering

Stop grouping keywords manually when the list is large.

Use Python and TF-IDF (Term Frequency-Inverse Document Frequency) to cluster terms automatically.

Note: You run this locally in Jupyter Notebook.

import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans

# 1. Load your keyword list
keywords = ["crm software", "best crm", "email marketing tool", "email software", "sales crm"]
df = pd.DataFrame(keywords, columns=['keyword'])

# 2. Convert text to numbers (vectors)
vectorizer = TfidfVectorizer(stop_words='english')
X = vectorizer.fit_transform(df['keyword'])

# 3. Cluster into groups
kmeans = KMeans(n_clusters=2, random_state=0, n_init=10).fit(X)
df['cluster'] = kmeans.labels_

# 4. Output
print(df.sort_values('cluster'))

Result:

The script will mathematically group similar terms together.

It may group "crm software" and "sales crm" together.

It may group "email marketing tool" and "email software" together.

This saves hours of manual sorting.

But use it carefully.

Clustering helps with structure.

It does not understand your full business strategy.

Review every cluster before building campaigns.

A cluster may be semantically similar but commercially different.

For example:

crm pricing

and

crm free trial

may sit near each other.

But the landing page and CTA may need to differ.

Use clustering as a first pass.

Then apply human judgement.

Part 11a: Deep Dive into Token Analysis (The Science of N-Grams)

Most advertisers look at whole keywords.

Data analysts also look at tokens, also known as N-Grams.

What is an N-Gram?

An N-Gram is a contiguous sequence of n items from a sample of text.

1-gram: "software"
2-gram: "best software"
3-gram: "best software for"

Why this matters:

If you analyse 10,000 search terms, you may find that no single keyword is a clear loser, but every query containing the token "definition" has poor commercial value.

That is useful.

It helps you identify waste that is spread across many small queries.

The Script (Python) to find Toxic Tokens:

from collections import Counter

# Fake Search Term Data (Term, Cost, Conversions)
data = [
    ("best crm for small business", 50, 1),
    ("crm definition wiki", 10, 0),
    ("what is a crm system", 15, 0),
    ("buy crm software", 40, 2)
]

# Tokenizer
toxic_tokens = Counter()
for term, cost, conv in data:
    if conv == 0:
        for word in term.split():
            toxic_tokens[word] += cost

print("Most Expensive Zero-Conversion Tokens:", toxic_tokens.most_common(5))

Action:

Run this analysis on your Search Query Report.

You may find tokens like "template", "login", "portal", "staff" or "definition" are quietly eating budget across hundreds of long-tail searches.

Add these tokens as Negative Phrase Match only after reviewing examples.

Do not block a token blindly.

A token can mean different things in different contexts.

Part 11b: Micro-Segmentation Logic (The "Layer Cake" Structure)

Once you have your clusters, how do you structure them?

We use the "Layer Cake" approach to maximise ad relevance.

The Layer Cake:

Base Layer (The Intent): "Time Tracking"
Modifier Layer (The Feature): "+ Invoicing"
Qualifier Layer (The Vertical): "+ for Agencies"

Ad Group: Time Tracking - Invoicing - Agencies

Keywords:

agency time tracking and invoicing
billable hours software for creative agencies

Ad Headline:

"Time Tracking & Invoicing | Built for Agencies"

Why this beats broad structure:

The headline matches the exact 3-layer intent.
The landing page can speak to the user more directly.
The form can ask better qualification questions.
Sales can understand the lead context faster.

The "Rule of 3":

If a keyword has 3 distinct modifiers, such as Intent + Feature + Vertical, it may deserve its own STAG.

If it only has 1 or 2 modifiers, group it into a broader STAG.

Do not create tiny ad groups for no reason.

Create them when the message needs to change.

Part 12: Case Study: The "Zero Volume" Keyword Strategy

Client: Enterprise Cybersecurity Firm.

Problem: Keywords like "ransomware protection" were extremely expensive. The account could not compete with larger vendors on every broad term.

The Strategy:

We stopped bidding only on "Protection".

We started bidding on "Symptoms".

Instead of [cybersecurity software], we researched what an IT Director types when something has gone wrong.

Keywords included:

server files encrypted .lock extension
decrypt .odin file
recover files after hack
ransomware recovery service
files encrypted after attack

The Results:

Search Volume: Very low. Keyword tools often showed little or no volume.
CPC: Much lower than broad cybersecurity terms.
Conversion Rate: Strong because the intent was urgent.
Pipeline Quality: High, because the problem was real.

Lesson:

The highest value keywords often have "Low Search Volume" warnings.

Do not ignore the warning completely.

But do not let it scare you away either.

If the intent is real and the deal value is high, test it.

Low volume does not mean low value.

It means you need patience.

Part 13: The "Competitor Brand" Bidding War

Should you bid on your competitor's name?

For example, bidding on [Salesforce] if you sell a CRM alternative.

Sometimes yes.

Often no.

The Economics:

Lower Relevance: You are not the searched brand. Google and users know this.
Higher CPC: You may pay more than the brand owner.
Lower CTR: Many users want the competitor, not you.
Retaliation Risk: They may bid on your brand in return.

When to do it:

You have a "Killer Feature": "Salesforce requires a 1-year contract. We are monthly."
You are the "Challenger": Nobody knows your brand, but everyone knows theirs.
You have a comparison page: The landing page clearly explains the difference.
You can afford the learning period: Competitor campaigns may take time.

The "Trojan Horse" Ad Copy:

Do not trick users.

Be direct.

Headline: Switch from Salesforce? | Save on Renewal
Desc: No annual contracts. Migration support available. See the comparison.

This is honest.

It respects the user.

It gives them a reason to click.

Competitor bidding should be measured separately.

Track:

CPC.
CTR.
Conversion rate.
Cost per qualified lead.
Sales accepted lead rate.
Close rate.
Competitor retaliation.
Brand campaign CPC movement.
Legal or policy concerns.
Customer feedback.

Do not bid on competitors for ego.

Do it only when the commercial case works.

Part 14: Seasonal B2B Keywords (The Q4 Sprint)

B2B has seasons.

Not as visibly as ecommerce.

But the patterns exist.

Q1 (Jan): New budget. Queries may include implementation, strategy, planning, best platform.
Q2: Growth and project rollout. Queries may include integration, migration, setup.
Q3: Review and replacement. Queries may include alternative, comparison, vendor.
Q4 (Nov/Dec): Use-it-or-lose-it budgets. Queries may include pricing, fast setup, implementation before year end.

Strategy:

In November and December, test keywords around:

Fast deployment.
Setup before year end.
Implementation timeline.
Pricing.
Budget planning.
Migration.
Renewal replacement.
Contract ending.
Procurement.
Annual plan.

Example:

"CRM setup in 2 weeks"

"HR software implementation before year end"

"Salesforce alternative before renewal"

Enterprise buyers may be trying to allocate remaining budget before the financial year closes.

But be careful.

Not every industry follows the calendar year.

Public sector, education, hospitality and enterprise accounts may have different budget cycles.

Learn the buying cycle of your market.

Then align keywords to the real timing.

Part 15: Cross-Channel Keyword Research (LinkedIn to Google)

Your Google Ads data is quantitative.

LinkedIn Ads data can be qualitative.

It can show which job titles, industries, company sizes and functions engage with your content.

That can inform Google keyword strategy.

The Workflow:

Run a LinkedIn Video Ad to a broad but relevant B2B audience, such as IT Managers.
Review engagement data.
Check which job functions, industries or seniority levels respond.
Translate those insights into Google Search themes.
Retarget engaged users on Google where possible and policy-compliant.

The Reverse Look:

Look at your LinkedIn demographics report.
See which functions, industries or seniority groups are engaging.
If "Cloud Security" is a top theme in your engaged audience, go to Google and test terms around cloud security best practices, cloud security platform, or more commercial variants.
Use LinkedIn to inform Google, and Google to validate demand.

This is useful because B2B buyers do not live in one channel.

They may discover the problem on LinkedIn.

They may research the category on Google.

They may compare vendors on review sites.

They may ask peers privately.

Cross-channel intelligence helps you understand the full journey.

Part 16: The Impact of Semantic Search

Gone are the days when Google simply matched text strings.

Today, Google is much better at understanding meaning and context.

This affects keyword research.

You do not need every tiny rearrangement of the same phrase.

You need strong intent coverage.

What this means for Media Buyers:

Stop overbuilding close variants: You do not need [crm for small business], [small business crm], and [crm small biz] as separate structures unless the data proves a need.
Write for the click intent: If the user searches crm integration, they may want integration proof, not a generic homepage.
Prepositions matter: "CRM for small business" is different from "CRM with email marketing." One describes audience. The other describes feature.
Landing pages matter more: Google can understand meaning, but users still need the page to match the intent.

Strategy:

Simplify keyword lists.

Group semantically similar variants where the ad and landing page can be the same.

Split keywords when the user expectation changes.

That is the modern rule.

Not SKAGs for every word order.

Not one messy broad ad group.

Use intent.

Part 17: Voice Search in B2B? (Carefully)

Voice search exists.

But do not overstate it in B2B.

Executives may use voice assistants while travelling or multitasking.

But most complex B2B buying still involves typed research, desktop sessions, internal documents, stakeholder discussions and procurement processes.

Still, conversational queries matter.

Typed Query: managed it services nyc
Spoken or conversational query: who is the best managed IT provider for law firms in Manhattan

How to capture this:

Question-Based Keywords: Test terms like how much does managed it cost where the commercial path is clear.
Conversational Ad Copy: Speak directly to the vertical or use case.
Location Assets: For local B2B services, ensure your Google Business Profile is linked to Google Ads.
FAQ Landing Pages: Answer natural-language questions clearly.

Do not build a whole strategy around voice search.

But do make room for conversational long-tail queries.

They often reveal strong intent.

Part 18: International Keyword Expansion (The "False Friend" Trap)

Scaling to EMEA or APAC?

Do not just translate your keywords.

A direct translation can miss the market.

Buyers in different countries may use different words for the same thing.

The Trap:

In US: "Vacation Rental Software" -> strong category language.
In UK: "Holiday Let Software" or "Short-Let Management Software" may be more natural depending on context.
"Vacation Rental" may feel American and weaker in the UK.

The "Culture-First" Workflow:

Work with a native speaker or local market expert.
Search your core term in the target country.
Look at the organic and paid results.
Note the words local competitors use.
Check review sites and industry directories.
Run Keyword Planner in the target language and market.
Build separate campaigns by market.
Localise landing pages, not only ads.

A dictionary gives translation.

The market gives language.

Use the market.

Part 19: The "Keyword Lifecycle" Management

Keywords are not static.

They age.

They drift.

They stop matching the business.

Competitors enter.

Search behaviour changes.

Google matching changes.

Offers change.

A keyword that was strong last year may be weak today.

The Monthly Pruning Ritual:

The "Low QS" Review: Filter keywords with Quality Score below 5. Review expected CTR, ad relevance and landing page experience. Do not pause automatically. Diagnose first.
The "Zero Conversion" Review: Filter keywords with meaningful spend and zero conversions. Decide whether to pause, reduce bids, improve landing page or add negatives.
The "Winner" Graduation: Filter search terms with conversions and CPA below target.
- Action: Add the best terms as exact or phrase keywords where it improves control.
- Action: Ensure winners have appropriate budget and impression share.
- Action: Improve landing pages for repeated high-intent themes.

Do not prune blindly.

Some B2B keywords have long sales cycles.

Some may assist conversions.

Some may look weak in platform data but generate better CRM quality.

Use CRM data where possible.

Part 20: Tools of the Trade (Beyond Keyword Planner)

AnswerThePublic: Useful for finding question queries and problem language.
Keywords Everywhere: Browser extension that shows volume and related terms quickly.
Google Trends: Useful for checking whether a term is rising or fading.
Google Search Console: A strong source of real query language from your organic traffic.
- Link Search Console to Google Ads where useful.
- Review queries where you already get impressions.
- Find commercial terms with organic traction.
- Test paid coverage for terms that create qualified traffic.
CRM Data: The most important tool. Keyword quality is judged by pipeline, not clicks.
Sales Call Notes: The language prospects use is often better than the language marketers invent.
Review Sites: G2, Capterra and industry review platforms reveal competitor pain points.
Customer Support Logs: Show problems, objections and feature language.
Internal Site Search: Shows what users look for after they arrive.
Ad Transparency Center: Shows competitor messaging and offers.

Keyword Planner is a starting point.

It should not be the only source.

Part 21: The "Negative Keyword" Library for B2B (Extended)

Copy, review and adapt this list.

Do not paste blindly.

The "Learner" List (People wanting info, not products):

guide
tutorial
strategy
ppt
pdf
presentation
definition
wiki
statistics
whitepaper
template
example

Use caution.

Some of these can be useful for content-led campaigns.

They are usually weaker for demo campaigns.

The "Job Seeker" List:

intern
resume
salary
glassdoor
opening
careers
jobs
hiring

The "Low Commercial Fit" List:

free
open source
crack
activation key
torrent
nulled
personal
home
diy

The "Support" List:

login
portal
support
customer service
cancel
refund
phone number

This list saves money.

But every business is different.

Review before applying.

Part 22: Keyword Research for PMax (Performance Max)

"PMax doesn't use keywords."

That is mostly true in the traditional sense.

Performance Max does not operate like a standard Search campaign where you bid on keywords directly.

But keyword research still matters.

PMax can use audience signals, search themes and landing page content to understand what kind of demand you want.

The Strategy:

Take your top converting Search terms and commercial themes.
Use them to build audience signals or search themes where available.
Align asset groups around clear intent clusters.
Make sure landing pages support those themes.
Use strong creative that matches the intent.

Why?

It tells the system:

"This is the kind of demand we care about."

It anchors automation to business reality.

Do not treat PMax as a black box you cannot influence.

Feed it better signals.

Better signals usually produce better learning.

Part 23: The Future of Keyword Research (AI Overviews and AI Search)

AI Overviews and AI-powered search experiences are changing search behaviour.

Users are increasingly asking longer, more specific questions.

They are not only typing short keywords.

They are asking for advice, comparisons, recommendations and context.

Old Query: "best crm for startups"
Newer Query Style: "Compare HubSpot and Salesforce for a 50-person startup with a tight budget and focus on email marketing."

This changes keyword research.

It does not make keywords irrelevant.

It makes intent more important.

How to optimise for the AI Era:

Longer Tail Matters: The new query may be 15 to 25 words long. Your keyword strategy needs to capture intent, not only exact text.
Answer the Next Question: Build landing pages that answer the series of questions a buyer has, not just the first query.
Brand Authority Signals: Your ad is the hook. Your content, proof, reviews and expertise help the user trust the brand after the click.
Comparison Content Matters: AI-style searches often compare options. Build honest comparison pages.
Specificity Wins: Vague pages struggle. Specific pages for industry, feature, integration and use case perform better.

The "Zero-Click" Threat:

Search engines increasingly answer simple informational questions directly.

That affects paid search.

Do not waste expensive search budget on pure definition keywords unless there is a clear commercial path.

Strategy: Reduce or exclude "definition" keywords in demo-focused campaigns.
Pivot: Shift budget to complex, commercial queries where an AI summary is not enough.

Examples:

Poor paid search target:

what is crm

Stronger paid search target:

how to migrate from Salesforce to HubSpot without data loss

The second query suggests a real project.

That is where B2B paid search wins.

Glossary of Key Terms

Intent Layering: A strategy of categorising keywords not by topic, but by how close the user is to making a purchase or entering a sales process.

Long-Tail Keywords: Highly specific search queries, often 4+ words, that have low individual search volume but stronger intent.

Negative Keyword List: A list of terms that prevents Google from showing your ad for irrelevant or low-value searches.

Token Analysis: Breaking down search queries into individual components, such as 1-grams and 2-grams, to identify words or phrases that correlate with poor or strong performance.

Zero-Volume Keywords: Keywords that tools show as having little or no search volume, but that may still receive rare, valuable searches.

Semantic Search: Google's ability to understand meaning and context rather than only exact text strings.

STAG (Single Topic Ad Group): An ad group structure where keywords are grouped by a tight theme or intent, ensuring ad copy relevance.

FAQ: Keyword Research

Conclusion

Keyword Research in 2026 is less about "finding words" and more about User Psychology Filtering.

Anyone can find "crm software".
A strong media buyer finds "crm implementation for manufacturing".
A disciplined media buyer excludes "free crm".
A mature media buyer measures pipeline, not only clicks.

Your Checklist:

Map keywords to the 4 Layers of Intent.
Use pain-point mapping from sales conversations.
Use competitor pages to find commercial language.
Validate keywords with micro-tests.
Use Regex and token analysis to find junk.
Layer Negative Keywords carefully.
Review Search Terms weekly.
Feed winning terms back into campaign structure.

Do this, and you will not just get traffic.

You will get Pipeline.

Volume is Vanity. Intent is Sanity.

The most common keyword research mistake is sorting by search volume and picking the top 20 results.

"CRM software" may have huge demand.

But some of that demand may include students, job seekers, developers, researchers and small users who will never buy your product.

Volume does not equal value.

Filter by intent first. Then check volume.

A low-volume keyword with buying intent is often better than a high-volume keyword with vague intent.

This is especially true in B2B.

A single qualified opportunity can justify months of careful keyword testing.

The Four Tiers of Search Intent

Tier	Label	Example Queries	Action
Tier 4	Informational	"what is a crm system," "how does crm work"	Usually avoid in demo campaigns. Use SEO or content.
Tier 3	Navigational	"salesforce login," "hubspot sign in"	Usually negative match. They already have a destination.
Tier 2	Commercial Investigation	"best crm for small business," "crm software comparison"	Target with comparison and evaluation pages.
Tier 1	Transactional	"crm software pricing," "buy crm software," "crm demo request"	Bid aggressively where economics work.

As a starting point:

Your budget may focus heavily on Tier 1 and Tier 2.

Tier 3 and Tier 4 should usually be excluded from direct response campaigns.

But this is not a universal rule.

If you have a full-funnel strategy, Tier 4 can support content.

If you have a competitor strategy, some navigational terms may be useful.

The point is not to ban whole tiers.

The point is to assign the right job to each tier.

The Three Modifier Matrices

Build your keyword list systematically using modifier matrices.

This prevents random keyword research.

Service Matrix (Agencies, Consultants):

Core Service × Modifier = Keyword

"PPC" + "agency/management/consultant/services/company" = 5 keyword clusters

Examples:

ppc agency
ppc management
ppc consultant
ppc services
ppc company

Software Matrix (SaaS, Tools):

Core Function × Modifier = Keyword

"Email Marketing" + "software/platform/tool/solution/system" = 5 keyword clusters

Examples:

email marketing software
email marketing platform
email marketing tool
email marketing solution
email marketing system

Industry Matrix (Vertical Specialisation):

[Service] for [Industry] = Long-Tail Keyword

Examples:

crm for real estate
crm for healthcare
crm for manufacturing
time tracking for agencies
booking software for hotels

These industry terms often have lower competition and stronger qualification.

They also make better landing pages.

A page for "CRM for manufacturing" can speak directly to manufacturing use cases.

That is stronger than a generic CRM page.

The Zero Search Volume (ZSV) Goldmine

Keyword Planner may show low or zero search volume for very specific terms.

Most advertisers skip them.

Do not dismiss them automatically.

"Enterprise CRM implementation for healthcare organisations" may show little visible volume.

It may only get a handful of searches per year.

But one conversion could become a £200,000 contract.

ZSV Ad Group strategy:

Create a dedicated Ad Group: "ZSV - Long-Tail Hyper-Specific"
Add ultra-specific 4-6 word phrases on Phrase Match or Exact Match.
Set conservative bids or budgets.
Check monthly for impressions, clicks and conversions.
Do not expect fast results.

Your competitors may ignore these terms because the volume looks worthless.

That can become your moat.

But be realistic.

Zero-volume keywords need patience.

They are not a replacement for core demand.

They are a supplement.

The Competitor Landing Page Hack

In Google Keyword Planner → "Start with a Website":

Paste your competitor's landing page URL.
Google scans the page and returns keyword ideas.
Filter for Tier 1 and Tier 2 intent.
Add suitable winners to your test list.

This is 20 minutes of work that can surface high-intent keywords you would not think of yourself.

Because your competitor already did part of the positioning work.

But again, filter carefully.

Competitor language may not fit your business.

Only use terms you can genuinely serve and convert.

The Search Term Mining Feedback Loop

Keyword research is never finished.

It is a weekly feedback loop:

Search Terms Report → Find converting queries not in your keyword list → Add as exact or phrase keywords where useful → Find irrelevant queries → Add as negatives → Repeat every Monday

The best-performing keyword in your account 6 months from now may be sitting in today's Search Terms Report as an unmatched query you have not actioned yet.

This is why search term reviews matter.

They show real demand.

Not estimated demand.

They show the language users actually type.

They show where Google is expanding.

They show what your keyword list missed.

A weekly process should include:

Sort search terms by spend.
Sort by conversions.
Sort by CPA.
Review zero-conversion spend.
Review high-converting terms.
Add negatives.
Add winners.
Build new landing pages where repeated themes appear.
Feed insights to SEO and content.
Document changes.

Keyword research is not a one-time task.

It is account hygiene.

Do it every week.

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Google Ads Keyword Research: Finding High-Intent B2B Terms in 2026

2026-01-18

37 min read

Kiril Ivanov

Performance Marketing Specialist

Part 1: The Four Layers of B2B Intent

Not all keywords are created equal.

In B2B, we categorise keywords by "Wallet Proximity".

The closer a keyword is to budget, vendor comparison, implementation, pricing or urgent business pain, the more seriously you should treat it.

The further it is from commercial action, the more careful you need to be.

Layer 1: Problem Aware (The "How-To")

Query: "how to track employee time"
Intent: Educational. They have a problem but are not necessarily looking for a product yet.
Strategy: Usually avoid for direct Paid Search. This is often an SEO, YouTube or remarketing play. If you bid here, your cost per click may be low, but your demo booking rate may also be low.

Problem-aware keywords are not useless.

They are just early.

The user knows something is wrong.

They may not know the category.

They may not know the type of tool.

They may not have budget.

They may be an employee researching a process, not a buyer.

This makes them risky for paid search.

Examples:

how to track employee time
how to reduce invoice errors
how to manage sales pipeline
how to stop phishing emails
how to improve staff scheduling

These are often better for:

SEO content.
YouTube explainers.
Lead magnets.
Remarketing pools.
Newsletter capture.
Educational campaigns.

You can use paid media here, but do it carefully.

Do not send these users straight to "Book a Demo".

They are probably not ready.

Give them a guide, calculator, checklist or comparison resource first.

Layer 2: Solution Aware (The "Software")

Query: "employee time tracking software"
Intent: Evaluation. They know the solution category.
Strategy: Core Campaign. Moderate CPC, decent volume, clear commercial value.

This is where B2B paid search usually begins.

The user knows they need software, a platform, an agency, a service or a provider.

They may not know who to choose yet.

Examples:

employee time tracking software
accounts payable automation platform
crm software for sales teams
cybersecurity services for business
hotel revenue management software

These are strong keywords because the user has moved from problem to solution.

They are no longer asking what the problem means.

They are looking for a category.

Your ad should be clear.

Your landing page should explain:

What the solution does.
Who it is for.
What makes it different.
What proof exists.
What the next step is.
Whether the product fits their company size or use case.

Do not send solution-aware traffic to a vague homepage.

Build category-specific pages.

Layer 3: Feature Aware (The "Specifics")

Query: "time tracking with jira integration"
Intent: High. They have specific requirements.
Strategy: High Priority. Use "Integration", "feature", "industry" and "workflow" keywords to qualify the lead instantly.

Feature-aware keywords are often more valuable than broad software terms.

The user knows what they need.

They are not just browsing.

They have a requirement.

That requirement may come from a real internal process.

Examples:

time tracking with jira integration
crm with whatsapp integration
invoice approval workflow software
hotel booking engine with channel manager
iso 27001 compliance software
single sign on hr software
salesforce integration accounting software

These keywords often have lower volume.

But they can produce higher quality leads because the need is specific.

Your ad should mirror the requirement.

Your landing page should prove the feature exists.

If the user searches for Jira integration, do not send them to a generic product page that never mentions Jira.

Send them to an integration page or a section that clearly confirms compatibility.

Specificity builds trust.

Layer 4: Brand/Competitor Aware (The "Wallet Out")

Query: "Toggl alternative", "Harvest vs Clockify pricing"
Intent: Immediate. They are comparing vendors.
Strategy: Max Bids where profitable. These users are close to a decision, but the campaign needs careful copy and landing pages.

This is the sharp end of B2B search.

The user knows the market.

They know vendor names.

They are comparing.

They may already be unhappy with a current provider.

Examples:

salesforce alternative
hubspot vs pipedrive
toggl pricing
best alternative to asana
monday.com competitor
xero vs quickbooks for small business
clockify enterprise pricing

These searches can be very valuable.

They can also be expensive.

Competitor keywords often have lower Quality Score because your brand is not the brand being searched.

You need a proper comparison page.

You need a clear reason to switch.

You need honest copy.

Do not trick the user.

Do not pretend to be the competitor.

Do not make claims you cannot prove.

A strong competitor page should answer:

Who is your product best for?
Who is the competitor best for?
Where are you stronger?
Where are they stronger?
How does pricing compare?
How difficult is switching?
Is migration supported?
What proof supports the claim?

This is not only keyword targeting.

It is positioning.

Part 2: The "Pain Point" Mapping Method

Stop looking for "industry keywords" first.

Start looking for "pain keywords."

Industry keywords are broad.

Pain keywords are specific.

Industry keywords describe the category.

Pain keywords describe the reason someone is searching.

A person does not wake up and think:

"I need a revenue operations enablement platform."

They think:

"Our sales reports are wrong again."

"Our team keeps missing follow-ups."

"We cannot see pipeline clearly."

"The CRM is full of duplicates."

"Finance keeps chasing late invoices."

That is where good keyword research begins.

The Framework:

Interview your Sales Team. Ask: "What specific problem was the prospect trying to solve when they contacted us?"
Map to Queries.

Pain Point	Traditional Keyword	Pain-Based Keyword
"Our bills are always late"	accounting software	"automated invoice reminders"
"It takes too long to export"	video editor	"fast rendering video editor"
"We keep getting hacked"	cybersecurity	"ransomware protection for enterprise"

Why this works:

Pain-based keywords often have lower volume but stronger conversion intent.

You are intercepting the user at the moment of frustration.

That matters.

In B2B, urgency often comes from pain.

Pain creates budget.

Pain creates internal discussion.

Pain creates stakeholder pressure.

Pain creates the reason to change.

A good pain-point keyword process includes:

Sales call notes.
CRM lost deal reasons.
Support tickets.
Customer reviews.
Competitor reviews.
Reddit and forum discussions where relevant.
G2 and Capterra reviews.
Customer interviews.
Demo transcripts.
Chat logs.
Search Console queries.
Internal site search queries.

Look for repeated words.

For example:

"too slow"
"manual"
"messy"
"duplicate"
"compliance"
"integration"
"migration"
"approval"
"reporting"
"audit"
"handover"
"visibility"
"forecast"
"pricing"
"implementation"

These words are often more useful than broad category terms.

They reveal the job the buyer needs done.

That is the foundation of high-intent B2B keyword research.

Part 3: Competitor Reverse Engineering (The Lazy Way)

Why guess when your competitors have already spent money testing?

Competitor research will not give you perfect truth.

Tools estimate.

Competitors make mistakes.

Some advertisers keep bad campaigns live.

But competitor research still helps you find ideas faster.

Tools Needed:

SpyFu / SEMrush / Ahrefs / Similarweb where available.
Manual Google searches.
Google Ads Auction Insights.
Google Ads Transparency Center.
Keyword Planner.

The Workflow

Identify your top 3 competitors.
Plug their domain into a tool like SEMrush → "Advertising Research".
Filter: Look for keywords they appear to have been bidding on for more than 6 months.
- Logic: If they have paid for a keyword for months, it may be profitable, or at least strategically important.
Export this list. This is your "Seed List".

But do not upload it blindly.

A competitor keyword list is not a campaign plan.

It is raw material.

You need to filter it.

Ask:

Does this keyword match our offer?
Does it match our price point?
Does it match our target company size?
Does it match our sales process?
Does it produce buyer intent?
Can we build a relevant ad?
Can we build a relevant landing page?
Can we handle the lead?
Is this keyword likely to produce pipeline?
Is the competitor possibly wasting spend?

Then classify each keyword into:

Core.
Feature.
Industry.
Competitor.
Problem.
Informational.
Negative.
Content-only.
Test.
Ignore.

Competitor research should speed up your thinking.

It should not replace it.

Part 4: Keyword Planner "Hack" for B2B

Google Keyword Planner can hide nuance.

It may group similar terms.

It may show wide volume ranges.

It may understate very specific long-tail searches.

It may push you towards broader terms with more volume.

That can be dangerous in B2B.

The better way is to use Keyword Planner with specific pages.

How to get more granular ideas:

Open Keyword Planner.
Select "Start with a Website".
Enter your competitor's pricing page, integration page, solution page or comparison page.
Review the keyword ideas Google associates with that page.
Filter for buyer intent.

This can surface terms like:

enterprise license cost
per user billing
crm migration pricing
jira time tracking integration
salesforce alternative pricing
implementation fee
single sign on software
audit trail software
workflow approval system
crm for manufacturing

The page you choose matters.

A homepage gives broad ideas.

A pricing page gives commercial ideas.

An integration page gives feature ideas.

A competitor comparison page gives switching ideas.

A case study gives industry ideas.

Use multiple page types.

For example:

Competitor homepage.
Competitor pricing page.
Competitor integrations page.
Competitor industry page.
Competitor alternatives page.
Your own best landing page.
Your own pricing page.
Your own blog post that ranks organically.
Your own product feature page.
Your own case study.

Then compare themes.

The goal is not just keywords.

The goal is intent coverage.

Part 5: The "Qualifier" Strategy (Negative Keywords)

In 2026, Broad Match can be aggressive.

Phrase Match can still expand.

Exact Match is not always exact in the old sense.

That means negative keywords matter.

A B2B account without a strong negative keyword strategy is exposed.

You need to verify who is searching and why.

B2B Negative Keyword List (The Required Blockers):

Employment: jobs, hiring, salary, resume, intern, part-time.
Education: course, learn, tutorial, definition, wiki, example, template, unless you use templates as a lead magnet.
Price Sensitive: free, cheap, open source, crack, nulled.
Consumer: home, personal, diy.

These words are not always bad.

Context matters.

"Free demo" can be useful.

"Free CRM" may be poor if you sell enterprise software.

"Template" may be poor for demo campaigns, but useful for content campaigns.

"Course" may be poor for software, but useful if you sell training.

So do not blindly paste negatives into every account.

Use them as a starting library.

Then customise.

Pro Tip:

If you sell Enterprise Software, you may add "small business" as a negative keyword if your minimum contract value makes small companies unprofitable.

But be careful.

Some enterprise buyers search from smaller offices.

Some consultants search on behalf of large companies.

Some "small business" terms may still produce qualified mid-market leads.

Use CRM data before making aggressive exclusions.

A good negative strategy has layers:

Universal negatives: jobs, salary, login, support, crack, torrent.
Campaign negatives: brand terms in generic campaigns, competitor terms where not wanted.
Intent negatives: free, template, tutorial, definition where not useful.
Audience fit negatives: small business, personal, home where not relevant.
Product fit negatives: features or industries you do not serve.
Location negatives: areas you do not serve.
Support negatives: refund, cancel, phone number, complaints where acquisition is the goal.

Negative keywords protect spend.

But overblocking can kill opportunity.

Review before applying.

Part 6: How to Organize Keywords (The STAG Method)

Do not dump all keywords into one ad group.

Use Single Topic Ad Groups (STAGs).

A STAG groups keywords by shared intent.

Not by tiny syntax variations.

Not by old-school SKAG logic.

Not by dumping everything into one broad bucket.

The ad copy must make sense for every keyword in the ad group.

That is the rule.

Campaign: SaaS - Core

Ad Group: Integrations
- software with zapier
- slack integration crm
Ad Group: Alternatives
- better than salesforce
- hubspot competitor
Ad Group: Features
- email automation tool
- visual pipeline builder

Why?

The ad copy for "Integrations" must mention "Connects with your stack."

The ad copy for "Alternatives" must mention "Switch and save" or another honest switching benefit.

The ad copy for "Features" must mention the actual feature.

A good STAG structure improves:

Ad relevance.
Landing page match.
Search term control.
Reporting clarity.
Negative keyword management.
Testing quality.
RSA coherence.
Conversion rate.

A bad structure creates generic ads.

Generic ads attract weaker traffic.

Weaker traffic creates worse data.

Worse data hurts bidding.

The structure matters.

Part 7: Validating Keywords with "Micro-Testing"

Before you commit your annual budget, run a Validation Sprint.

Keyword research is theory until the market responds.

A micro-test helps you see whether the terms are real.

Create a new Campaign: "Test - High Intent".
Budget: $500 total, or an amount suitable for your CPC.
Keywords: Pick your top 20 "Pain Point" keywords.
Bidding: Maximize Clicks with a bid cap, Manual CPC, or a conservative Smart Bidding setup depending on account data.
Duration: Run until you have enough clicks and search term data to judge.
Analysis: Check the Search Terms Report.
- Are the actual queries relevant?
- Did anyone convert?
- Did they become qualified leads?
- Did the terms attract the right company size?
- Was the landing page a good match?
- If quality is strong, graduate them to your main campaign.

Be careful with fixed click targets like 500 clicks.

In B2B, 500 clicks may be too expensive in some niches.

In others, it may not be enough.

Use judgement.

The point is not the exact number.

The point is to validate before scaling.

A good validation sprint should review:

Search terms.
CTR.
CPC.
Conversion rate.
Cost per lead.
Lead quality.
CRM notes.
Company size.
Job title.
Sales feedback.

Do not graduate a keyword because it generated cheap leads.

Graduate it because it generated the right leads.

Part 8: Broad Match in 2026?

Should you use Broad Match for B2B?

Yes, but carefully.

Broad Match can be powerful because Google understands more context than it used to.

It can find long-tail searches you would never add manually.

It can match related intent.

It can help scale.

But it can also waste money if the account is not ready.

The "Risk" with Broad Match:

Keyword: crm software

Matches to weak intent such as:

free crm for students

crm job description

how to learn crm

crm login

The "Power" of Broad Match:

Keyword: crm software

Can match useful intent such as:

best enterprise contact management platform for healthcare

crm with sales forecasting for manufacturing

customer database software for b2b sales team

The Rule:

Only use Broad Match when you have strong guardrails:

Smart Bidding Enabled such as tCPA or tROAS where appropriate.
Offline Conversion Imports (OCI) or lead quality feedback where possible, so Google knows what a qualified lead looks like.
Negative Keywords heavily populated and reviewed often.
Clear conversion goals that reflect real business value.
Search term reviews after launch.
Budget controls while testing.
Landing pages that support broad intent.
CRM validation of lead quality.

Without these guardrails, Broad Match can become expensive.

It is not "set and forget".

It is "test and govern".

Part 10: Advanced Tech: Using Regex for Keyword Filtering

When you download a list of 10,000 search terms, normal filters can become slow.

Use Regular Expressions (Regex) where supported, or use spreadsheet formulas and scripts, to find patterns faster.

Regex helps you detect intent tokens.

1. The "Question" Filter (Upper Funnel)

Finds users asking questions.

Regex: \b(who|what|where|when|why|how)\b
Action: Review these carefully. Exclude them from demo campaigns if they are too educational. Add them to content campaigns where useful.

2. The "Comparison" Filter (Bottom Funnel)

Finds users comparing options.

Regex: \b(vs|versus|or|compare|comparison|alternative|competitor|review|reviews)\b
Action: Consider higher priority if you have comparison pages and strong positioning.

3. The "Urgency" Filter

Finds users who need it now.

Regex: \b(fast|urgent|emergency|now|24h|today|same day)\b
Action: Use stronger CTA copy, call assets or urgent service landing pages where appropriate.

Regex is not magic.

It is a sorting tool.

The human still decides what the pattern means.

For example:

"review" can be commercial.

"employee review software" is not the same as "software review article".

Always inspect samples before adding negatives.

Part 11: Python Script for Keyword Clustering

Stop grouping keywords manually when the list is large.

Use Python and TF-IDF (Term Frequency-Inverse Document Frequency) to cluster terms automatically.

Note: You run this locally in Jupyter Notebook.

import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans

# 1. Load your keyword list
keywords = ["crm software", "best crm", "email marketing tool", "email software", "sales crm"]
df = pd.DataFrame(keywords, columns=['keyword'])

# 2. Convert text to numbers (vectors)
vectorizer = TfidfVectorizer(stop_words='english')
X = vectorizer.fit_transform(df['keyword'])

# 3. Cluster into groups
kmeans = KMeans(n_clusters=2, random_state=0, n_init=10).fit(X)
df['cluster'] = kmeans.labels_

# 4. Output
print(df.sort_values('cluster'))

Result:

The script will mathematically group similar terms together.

It may group "crm software" and "sales crm" together.

It may group "email marketing tool" and "email software" together.

This saves hours of manual sorting.

But use it carefully.

Clustering helps with structure.

It does not understand your full business strategy.

Review every cluster before building campaigns.

A cluster may be semantically similar but commercially different.

For example:

crm pricing

and

crm free trial

may sit near each other.

But the landing page and CTA may need to differ.

Use clustering as a first pass.

Then apply human judgement.

Part 11a: Deep Dive into Token Analysis (The Science of N-Grams)

Most advertisers look at whole keywords.

Data analysts also look at tokens, also known as N-Grams.

What is an N-Gram?

An N-Gram is a contiguous sequence of n items from a sample of text.

1-gram: "software"
2-gram: "best software"
3-gram: "best software for"

Why this matters:

If you analyse 10,000 search terms, you may find that no single keyword is a clear loser, but every query containing the token "definition" has poor commercial value.

That is useful.

It helps you identify waste that is spread across many small queries.

The Script (Python) to find Toxic Tokens:

from collections import Counter

# Fake Search Term Data (Term, Cost, Conversions)
data = [
    ("best crm for small business", 50, 1),
    ("crm definition wiki", 10, 0),
    ("what is a crm system", 15, 0),
    ("buy crm software", 40, 2)
]

# Tokenizer
toxic_tokens = Counter()
for term, cost, conv in data:
    if conv == 0:
        for word in term.split():
            toxic_tokens[word] += cost

print("Most Expensive Zero-Conversion Tokens:", toxic_tokens.most_common(5))

Action:

Run this analysis on your Search Query Report.

You may find tokens like "template", "login", "portal", "staff" or "definition" are quietly eating budget across hundreds of long-tail searches.

Add these tokens as Negative Phrase Match only after reviewing examples.

Do not block a token blindly.

A token can mean different things in different contexts.

Part 11b: Micro-Segmentation Logic (The "Layer Cake" Structure)

Once you have your clusters, how do you structure them?

We use the "Layer Cake" approach to maximise ad relevance.

The Layer Cake:

Base Layer (The Intent): "Time Tracking"
Modifier Layer (The Feature): "+ Invoicing"
Qualifier Layer (The Vertical): "+ for Agencies"

Ad Group: Time Tracking - Invoicing - Agencies

Keywords:

agency time tracking and invoicing
billable hours software for creative agencies

Ad Headline:

"Time Tracking & Invoicing | Built for Agencies"

Why this beats broad structure:

The headline matches the exact 3-layer intent.
The landing page can speak to the user more directly.
The form can ask better qualification questions.
Sales can understand the lead context faster.

The "Rule of 3":

If a keyword has 3 distinct modifiers, such as Intent + Feature + Vertical, it may deserve its own STAG.

If it only has 1 or 2 modifiers, group it into a broader STAG.

Do not create tiny ad groups for no reason.

Create them when the message needs to change.

Part 12: Case Study: The "Zero Volume" Keyword Strategy

Client: Enterprise Cybersecurity Firm.

Problem: Keywords like "ransomware protection" were extremely expensive. The account could not compete with larger vendors on every broad term.

The Strategy:

We stopped bidding only on "Protection".

We started bidding on "Symptoms".

Instead of [cybersecurity software], we researched what an IT Director types when something has gone wrong.

Keywords included:

server files encrypted .lock extension
decrypt .odin file
recover files after hack
ransomware recovery service
files encrypted after attack

The Results:

Search Volume: Very low. Keyword tools often showed little or no volume.
CPC: Much lower than broad cybersecurity terms.
Conversion Rate: Strong because the intent was urgent.
Pipeline Quality: High, because the problem was real.

Lesson:

The highest value keywords often have "Low Search Volume" warnings.

Do not ignore the warning completely.

But do not let it scare you away either.

If the intent is real and the deal value is high, test it.

Low volume does not mean low value.

It means you need patience.

Part 13: The "Competitor Brand" Bidding War

Should you bid on your competitor's name?

For example, bidding on [Salesforce] if you sell a CRM alternative.

Sometimes yes.

Often no.

The Economics:

Lower Relevance: You are not the searched brand. Google and users know this.
Higher CPC: You may pay more than the brand owner.
Lower CTR: Many users want the competitor, not you.
Retaliation Risk: They may bid on your brand in return.

When to do it:

You have a "Killer Feature": "Salesforce requires a 1-year contract. We are monthly."
You are the "Challenger": Nobody knows your brand, but everyone knows theirs.
You have a comparison page: The landing page clearly explains the difference.
You can afford the learning period: Competitor campaigns may take time.

The "Trojan Horse" Ad Copy:

Do not trick users.

Be direct.

Headline: Switch from Salesforce? | Save on Renewal
Desc: No annual contracts. Migration support available. See the comparison.

This is honest.

It respects the user.

It gives them a reason to click.

Competitor bidding should be measured separately.

Track:

CPC.
CTR.
Conversion rate.
Cost per qualified lead.
Sales accepted lead rate.
Close rate.
Competitor retaliation.
Brand campaign CPC movement.
Legal or policy concerns.
Customer feedback.

Do not bid on competitors for ego.

Do it only when the commercial case works.

Part 14: Seasonal B2B Keywords (The Q4 Sprint)

B2B has seasons.

Not as visibly as ecommerce.

But the patterns exist.

Q1 (Jan): New budget. Queries may include implementation, strategy, planning, best platform.
Q2: Growth and project rollout. Queries may include integration, migration, setup.
Q3: Review and replacement. Queries may include alternative, comparison, vendor.
Q4 (Nov/Dec): Use-it-or-lose-it budgets. Queries may include pricing, fast setup, implementation before year end.

Strategy:

In November and December, test keywords around:

Fast deployment.
Setup before year end.
Implementation timeline.
Pricing.
Budget planning.
Migration.
Renewal replacement.
Contract ending.
Procurement.
Annual plan.

Example:

"CRM setup in 2 weeks"

"HR software implementation before year end"

"Salesforce alternative before renewal"

Enterprise buyers may be trying to allocate remaining budget before the financial year closes.

But be careful.

Not every industry follows the calendar year.

Public sector, education, hospitality and enterprise accounts may have different budget cycles.

Learn the buying cycle of your market.

Then align keywords to the real timing.

Part 15: Cross-Channel Keyword Research (LinkedIn to Google)

Your Google Ads data is quantitative.

LinkedIn Ads data can be qualitative.

It can show which job titles, industries, company sizes and functions engage with your content.

That can inform Google keyword strategy.

The Workflow:

Run a LinkedIn Video Ad to a broad but relevant B2B audience, such as IT Managers.
Review engagement data.
Check which job functions, industries or seniority levels respond.
Translate those insights into Google Search themes.
Retarget engaged users on Google where possible and policy-compliant.

The Reverse Look:

Look at your LinkedIn demographics report.
See which functions, industries or seniority groups are engaging.
If "Cloud Security" is a top theme in your engaged audience, go to Google and test terms around cloud security best practices, cloud security platform, or more commercial variants.
Use LinkedIn to inform Google, and Google to validate demand.

This is useful because B2B buyers do not live in one channel.

They may discover the problem on LinkedIn.

They may research the category on Google.

They may compare vendors on review sites.

They may ask peers privately.

Cross-channel intelligence helps you understand the full journey.

Part 16: The Impact of Semantic Search

Gone are the days when Google simply matched text strings.

Today, Google is much better at understanding meaning and context.

This affects keyword research.

You do not need every tiny rearrangement of the same phrase.

You need strong intent coverage.

What this means for Media Buyers:

Stop overbuilding close variants: You do not need [crm for small business], [small business crm], and [crm small biz] as separate structures unless the data proves a need.
Write for the click intent: If the user searches crm integration, they may want integration proof, not a generic homepage.
Prepositions matter: "CRM for small business" is different from "CRM with email marketing." One describes audience. The other describes feature.
Landing pages matter more: Google can understand meaning, but users still need the page to match the intent.

Strategy:

Simplify keyword lists.

Group semantically similar variants where the ad and landing page can be the same.

Split keywords when the user expectation changes.

That is the modern rule.

Not SKAGs for every word order.

Not one messy broad ad group.

Use intent.

Part 17: Voice Search in B2B? (Carefully)

Voice search exists.

But do not overstate it in B2B.

Executives may use voice assistants while travelling or multitasking.

But most complex B2B buying still involves typed research, desktop sessions, internal documents, stakeholder discussions and procurement processes.

Still, conversational queries matter.

Typed Query: managed it services nyc
Spoken or conversational query: who is the best managed IT provider for law firms in Manhattan

How to capture this:

Question-Based Keywords: Test terms like how much does managed it cost where the commercial path is clear.
Conversational Ad Copy: Speak directly to the vertical or use case.
Location Assets: For local B2B services, ensure your Google Business Profile is linked to Google Ads.
FAQ Landing Pages: Answer natural-language questions clearly.

Do not build a whole strategy around voice search.

But do make room for conversational long-tail queries.

They often reveal strong intent.

Part 18: International Keyword Expansion (The "False Friend" Trap)

Scaling to EMEA or APAC?

Do not just translate your keywords.

A direct translation can miss the market.

Buyers in different countries may use different words for the same thing.

The Trap:

In US: "Vacation Rental Software" -> strong category language.
In UK: "Holiday Let Software" or "Short-Let Management Software" may be more natural depending on context.
"Vacation Rental" may feel American and weaker in the UK.

The "Culture-First" Workflow:

Work with a native speaker or local market expert.
Search your core term in the target country.
Look at the organic and paid results.
Note the words local competitors use.
Check review sites and industry directories.
Run Keyword Planner in the target language and market.
Build separate campaigns by market.
Localise landing pages, not only ads.

A dictionary gives translation.

The market gives language.

Use the market.

Part 19: The "Keyword Lifecycle" Management

Keywords are not static.

They age.

They drift.

They stop matching the business.

Competitors enter.

Search behaviour changes.

Google matching changes.

Offers change.

A keyword that was strong last year may be weak today.

The Monthly Pruning Ritual:

The "Low QS" Review: Filter keywords with Quality Score below 5. Review expected CTR, ad relevance and landing page experience. Do not pause automatically. Diagnose first.
The "Zero Conversion" Review: Filter keywords with meaningful spend and zero conversions. Decide whether to pause, reduce bids, improve landing page or add negatives.
The "Winner" Graduation: Filter search terms with conversions and CPA below target.
- Action: Add the best terms as exact or phrase keywords where it improves control.
- Action: Ensure winners have appropriate budget and impression share.
- Action: Improve landing pages for repeated high-intent themes.

Do not prune blindly.

Some B2B keywords have long sales cycles.

Some may assist conversions.

Some may look weak in platform data but generate better CRM quality.

Use CRM data where possible.

Part 20: Tools of the Trade (Beyond Keyword Planner)

AnswerThePublic: Useful for finding question queries and problem language.
Keywords Everywhere: Browser extension that shows volume and related terms quickly.
Google Trends: Useful for checking whether a term is rising or fading.
Google Search Console: A strong source of real query language from your organic traffic.
- Link Search Console to Google Ads where useful.
- Review queries where you already get impressions.
- Find commercial terms with organic traction.
- Test paid coverage for terms that create qualified traffic.
CRM Data: The most important tool. Keyword quality is judged by pipeline, not clicks.
Sales Call Notes: The language prospects use is often better than the language marketers invent.
Review Sites: G2, Capterra and industry review platforms reveal competitor pain points.
Customer Support Logs: Show problems, objections and feature language.
Internal Site Search: Shows what users look for after they arrive.
Ad Transparency Center: Shows competitor messaging and offers.

Keyword Planner is a starting point.

It should not be the only source.

Part 21: The "Negative Keyword" Library for B2B (Extended)

Copy, review and adapt this list.

Do not paste blindly.

The "Learner" List (People wanting info, not products):

guide
tutorial
strategy
ppt
pdf
presentation
definition
wiki
statistics
whitepaper
template
example

Use caution.

Some of these can be useful for content-led campaigns.

They are usually weaker for demo campaigns.

The "Job Seeker" List:

intern
resume
salary
glassdoor
opening
careers
jobs
hiring

The "Low Commercial Fit" List:

free
open source
crack
activation key
torrent
nulled
personal
home
diy

The "Support" List:

login
portal
support
customer service
cancel
refund
phone number

This list saves money.

But every business is different.

Review before applying.

Part 22: Keyword Research for PMax (Performance Max)

"PMax doesn't use keywords."

That is mostly true in the traditional sense.

Performance Max does not operate like a standard Search campaign where you bid on keywords directly.

But keyword research still matters.

PMax can use audience signals, search themes and landing page content to understand what kind of demand you want.

The Strategy:

Take your top converting Search terms and commercial themes.
Use them to build audience signals or search themes where available.
Align asset groups around clear intent clusters.
Make sure landing pages support those themes.
Use strong creative that matches the intent.

Why?

It tells the system:

"This is the kind of demand we care about."

It anchors automation to business reality.

Do not treat PMax as a black box you cannot influence.

Feed it better signals.

Better signals usually produce better learning.

Part 23: The Future of Keyword Research (AI Overviews and AI Search)

AI Overviews and AI-powered search experiences are changing search behaviour.

Users are increasingly asking longer, more specific questions.

They are not only typing short keywords.

They are asking for advice, comparisons, recommendations and context.

Old Query: "best crm for startups"
Newer Query Style: "Compare HubSpot and Salesforce for a 50-person startup with a tight budget and focus on email marketing."

This changes keyword research.

It does not make keywords irrelevant.

It makes intent more important.

How to optimise for the AI Era:

Longer Tail Matters: The new query may be 15 to 25 words long. Your keyword strategy needs to capture intent, not only exact text.
Answer the Next Question: Build landing pages that answer the series of questions a buyer has, not just the first query.
Brand Authority Signals: Your ad is the hook. Your content, proof, reviews and expertise help the user trust the brand after the click.
Comparison Content Matters: AI-style searches often compare options. Build honest comparison pages.
Specificity Wins: Vague pages struggle. Specific pages for industry, feature, integration and use case perform better.

The "Zero-Click" Threat:

Search engines increasingly answer simple informational questions directly.

That affects paid search.

Do not waste expensive search budget on pure definition keywords unless there is a clear commercial path.

Strategy: Reduce or exclude "definition" keywords in demo-focused campaigns.
Pivot: Shift budget to complex, commercial queries where an AI summary is not enough.

Examples:

Poor paid search target:

what is crm

Stronger paid search target:

how to migrate from Salesforce to HubSpot without data loss

The second query suggests a real project.

That is where B2B paid search wins.

Glossary of Key Terms

Intent Layering: A strategy of categorising keywords not by topic, but by how close the user is to making a purchase or entering a sales process.

Long-Tail Keywords: Highly specific search queries, often 4+ words, that have low individual search volume but stronger intent.

Negative Keyword List: A list of terms that prevents Google from showing your ad for irrelevant or low-value searches.

Token Analysis: Breaking down search queries into individual components, such as 1-grams and 2-grams, to identify words or phrases that correlate with poor or strong performance.

Zero-Volume Keywords: Keywords that tools show as having little or no search volume, but that may still receive rare, valuable searches.

Semantic Search: Google's ability to understand meaning and context rather than only exact text strings.

STAG (Single Topic Ad Group): An ad group structure where keywords are grouped by a tight theme or intent, ensuring ad copy relevance.

FAQ: Keyword Research

Conclusion

Keyword Research in 2026 is less about "finding words" and more about User Psychology Filtering.

Anyone can find "crm software".
A strong media buyer finds "crm implementation for manufacturing".
A disciplined media buyer excludes "free crm".
A mature media buyer measures pipeline, not only clicks.

Your Checklist:

Map keywords to the 4 Layers of Intent.
Use pain-point mapping from sales conversations.
Use competitor pages to find commercial language.
Validate keywords with micro-tests.
Use Regex and token analysis to find junk.
Layer Negative Keywords carefully.
Review Search Terms weekly.
Feed winning terms back into campaign structure.

Do this, and you will not just get traffic.

You will get Pipeline.

Volume is Vanity. Intent is Sanity.

The most common keyword research mistake is sorting by search volume and picking the top 20 results.

"CRM software" may have huge demand.

But some of that demand may include students, job seekers, developers, researchers and small users who will never buy your product.

Volume does not equal value.

Filter by intent first. Then check volume.

A low-volume keyword with buying intent is often better than a high-volume keyword with vague intent.

This is especially true in B2B.

A single qualified opportunity can justify months of careful keyword testing.

The Four Tiers of Search Intent

Tier	Label	Example Queries	Action
Tier 4	Informational	"what is a crm system," "how does crm work"	Usually avoid in demo campaigns. Use SEO or content.
Tier 3	Navigational	"salesforce login," "hubspot sign in"	Usually negative match. They already have a destination.
Tier 2	Commercial Investigation	"best crm for small business," "crm software comparison"	Target with comparison and evaluation pages.
Tier 1	Transactional	"crm software pricing," "buy crm software," "crm demo request"	Bid aggressively where economics work.

As a starting point:

Your budget may focus heavily on Tier 1 and Tier 2.

Tier 3 and Tier 4 should usually be excluded from direct response campaigns.

But this is not a universal rule.

If you have a full-funnel strategy, Tier 4 can support content.

If you have a competitor strategy, some navigational terms may be useful.

The point is not to ban whole tiers.

The point is to assign the right job to each tier.

The Three Modifier Matrices

Build your keyword list systematically using modifier matrices.

This prevents random keyword research.

Service Matrix (Agencies, Consultants):

Core Service × Modifier = Keyword

"PPC" + "agency/management/consultant/services/company" = 5 keyword clusters

Examples:

ppc agency
ppc management
ppc consultant
ppc services
ppc company

Software Matrix (SaaS, Tools):

Core Function × Modifier = Keyword

"Email Marketing" + "software/platform/tool/solution/system" = 5 keyword clusters

Examples:

email marketing software
email marketing platform
email marketing tool
email marketing solution
email marketing system

Industry Matrix (Vertical Specialisation):

[Service] for [Industry] = Long-Tail Keyword

Examples:

crm for real estate
crm for healthcare
crm for manufacturing
time tracking for agencies
booking software for hotels

These industry terms often have lower competition and stronger qualification.

They also make better landing pages.

A page for "CRM for manufacturing" can speak directly to manufacturing use cases.

That is stronger than a generic CRM page.

The Zero Search Volume (ZSV) Goldmine

Keyword Planner may show low or zero search volume for very specific terms.

Most advertisers skip them.

Do not dismiss them automatically.

"Enterprise CRM implementation for healthcare organisations" may show little visible volume.

It may only get a handful of searches per year.

But one conversion could become a £200,000 contract.

ZSV Ad Group strategy:

Create a dedicated Ad Group: "ZSV - Long-Tail Hyper-Specific"
Add ultra-specific 4-6 word phrases on Phrase Match or Exact Match.
Set conservative bids or budgets.
Check monthly for impressions, clicks and conversions.
Do not expect fast results.

Your competitors may ignore these terms because the volume looks worthless.

That can become your moat.

But be realistic.

Zero-volume keywords need patience.

They are not a replacement for core demand.

They are a supplement.

The Competitor Landing Page Hack

In Google Keyword Planner → "Start with a Website":

Paste your competitor's landing page URL.
Google scans the page and returns keyword ideas.
Filter for Tier 1 and Tier 2 intent.
Add suitable winners to your test list.

This is 20 minutes of work that can surface high-intent keywords you would not think of yourself.

Because your competitor already did part of the positioning work.

But again, filter carefully.

Competitor language may not fit your business.

Only use terms you can genuinely serve and convert.

The Search Term Mining Feedback Loop

Keyword research is never finished.

It is a weekly feedback loop:

Search Terms Report → Find converting queries not in your keyword list → Add as exact or phrase keywords where useful → Find irrelevant queries → Add as negatives → Repeat every Monday

The best-performing keyword in your account 6 months from now may be sitting in today's Search Terms Report as an unmatched query you have not actioned yet.

This is why search term reviews matter.

They show real demand.

Not estimated demand.

They show the language users actually type.

They show where Google is expanding.

They show what your keyword list missed.

A weekly process should include:

Sort search terms by spend.
Sort by conversions.
Sort by CPA.
Review zero-conversion spend.
Review high-converting terms.
Add negatives.
Add winners.
Build new landing pages where repeated themes appear.
Feed insights to SEO and content.
Document changes.

Keyword research is not a one-time task.

It is account hygiene.

Do it every week.

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Performance marketing specialist with 6 years of experience in Google Ads, Meta Ads, and paid media strategy. Helps B2B and Ecommerce brands scale profitably through data-driven advertising.

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Google Ads Keyword Research: Finding High-Intent B2B Terms in 2026

On this page

Part 1: The Four Layers of B2B Intent

Layer 1: Problem Aware (The "How-To")

Layer 2: Solution Aware (The "Software")

Layer 3: Feature Aware (The "Specifics")

Layer 4: Brand/Competitor Aware (The "Wallet Out")

Part 2: The "Pain Point" Mapping Method

Part 3: Competitor Reverse Engineering (The Lazy Way)

The Workflow

Part 4: Keyword Planner "Hack" for B2B

Part 5: The "Qualifier" Strategy (Negative Keywords)

Part 6: How to Organize Keywords (The STAG Method)

Part 7: Validating Keywords with "Micro-Testing"

Part 8: Broad Match in 2026?

Part 10: Advanced Tech: Using Regex for Keyword Filtering

Part 11: Python Script for Keyword Clustering

Part 11a: Deep Dive into Token Analysis (The Science of N-Grams)

Part 11b: Micro-Segmentation Logic (The "Layer Cake" Structure)

Part 12: Case Study: The "Zero Volume" Keyword Strategy

Part 13: The "Competitor Brand" Bidding War

Part 14: Seasonal B2B Keywords (The Q4 Sprint)

Part 15: Cross-Channel Keyword Research (LinkedIn to Google)

Part 16: The Impact of Semantic Search

Part 17: Voice Search in B2B? (Carefully)

Part 18: International Keyword Expansion (The "False Friend" Trap)

Part 19: The "Keyword Lifecycle" Management

Part 20: Tools of the Trade (Beyond Keyword Planner)

Part 21: The "Negative Keyword" Library for B2B (Extended)

Part 22: Keyword Research for PMax (Performance Max)

Part 23: The Future of Keyword Research (AI Overviews and AI Search)

Glossary of Key Terms

FAQ: Keyword Research

Conclusion

Volume is Vanity. Intent is Sanity.

The Four Tiers of Search Intent

The Three Modifier Matrices

The Zero Search Volume (ZSV) Goldmine

The Competitor Landing Page Hack

The Search Term Mining Feedback Loop

Next Best Step

Where to go from here

Google Ads Management

Google Ads Guide

Marketing Tools

About the Author

Continue Reading

Related Reads

Need this implemented for you?

Google Ads Keyword Research: Finding High-Intent B2B Terms in 2026

On this page

Part 1: The Four Layers of B2B Intent

Layer 1: Problem Aware (The "How-To")

Layer 2: Solution Aware (The "Software")

Layer 3: Feature Aware (The "Specifics")

Layer 4: Brand/Competitor Aware (The "Wallet Out")

Part 2: The "Pain Point" Mapping Method

Part 3: Competitor Reverse Engineering (The Lazy Way)

The Workflow

Part 4: Keyword Planner "Hack" for B2B

Part 5: The "Qualifier" Strategy (Negative Keywords)

Part 6: How to Organize Keywords (The STAG Method)

Part 7: Validating Keywords with "Micro-Testing"

Part 8: Broad Match in 2026?

Part 10: Advanced Tech: Using Regex for Keyword Filtering

Part 11: Python Script for Keyword Clustering

Part 11a: Deep Dive into Token Analysis (The Science of N-Grams)

Part 11b: Micro-Segmentation Logic (The "Layer Cake" Structure)

Part 12: Case Study: The "Zero Volume" Keyword Strategy

Part 13: The "Competitor Brand" Bidding War

Part 14: Seasonal B2B Keywords (The Q4 Sprint)

Part 15: Cross-Channel Keyword Research (LinkedIn to Google)

Part 16: The Impact of Semantic Search

Part 17: Voice Search in B2B? (Carefully)

Part 18: International Keyword Expansion (The "False Friend" Trap)

Part 19: The "Keyword Lifecycle" Management

Part 20: Tools of the Trade (Beyond Keyword Planner)

Part 21: The "Negative Keyword" Library for B2B (Extended)

Part 22: Keyword Research for PMax (Performance Max)

Part 23: The Future of Keyword Research (AI Overviews and AI Search)