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B2B keyword research: find the searches that become pipeline (2026)

B2B keyword research: find low-volume searches that become pipeline using sales calls, CRM and Search Console regex, then score them by deal value.
PUBLISHED 28 OCTOBER 2026UPDATED 28 OCTOBER 202617 MIN READ
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B2B keyword research means finding the searches your buyers make before they ever speak to sales, then ranking them by the pipeline they could bring. Volume is a tiebreaker. The searches worth most in B2B often show little or no volume in keyword tools, so start with data you already own. That means sales calls, CRM notes and Google Search Console. Add the comparison, integration and pricing searches buyers run close to a decision, plus the questions they now put to ChatGPT. Then score every search by how close it sits to a sale and what that sale is worth.

I'm Brenden House, and I run Searchmaxxed, an SEO and AI SEO agency for enterprise, B2B SaaS, venture-backed, manufacturing and public-sector companies. Below is the method I'd hand a marketing or growth lead.

In summary

Pick B2B keywords by pipeline value, because one comparison search that brings two demos a month can beat a blog keyword with a thousand visits.

Where the keyword comes fromWhat it gives you
Sales calls and CRM notesThe buyer's own words, competitors named, integrations asked about
Google Search ConsoleReal long-tail queries your site already shows for
Comparison, integration and pricing patternsThe searches closest to a signed contract
ChatGPT, Gemini and Perplexity promptsThe full questions and follow-ups where vendors get named
Keyword toolsVolume and difficulty, used last, as a tiebreaker
  • Low volume is normal in B2B. Google hides any query that no more than "a few dozen users" search over two to three months. So the rarest, most specific searches never show by name in Search Console.
  • Your sales team already hears your best keywords, because the phrase a buyer says on a discovery call is usually the phrase they typed first.
  • Comparison, alternative, integration, pricing and security searches sit closest to a deal, so build a page for each with a real buyer behind it.
  • Score each search on three things. How close does it sit to a sale, how strong is your evidence, and does it fit your best deals?

What is B2B keyword research?

B2B keyword research is the work of finding the searches business buyers make while they research a problem, a category or a vendor. Then you choose which ones deserve a page. It differs from consumer research in three ways. The buyer is a committee, the market is small, and one deal can be worth a year of traffic.

Here's the practical difference.

Consumer keyword researchB2B keyword research
Who searchesOne person, often buying todayA buying committee: user, manager, finance, IT, security, procurement
How long they searchMinutes to daysWeeks to months, across many sessions
Typical volumeEasy to see in keyword toolsOften too low for tools to show, for the searches that convert
What a keyword is worthMeasured in sales per visitMeasured in pipeline per opportunity
Best sourcesKeyword tools, Google suggestionsSales calls, CRM, Search Console, then tools
Pages that winProduct and category pagesComparison, integration, pricing, security, use-case and industry pages

Five terms come up again and again.

  • Search intent is the reason behind a search: to learn about a problem, to compare options, or to buy from a vendor.
  • Long-tail keywords are long, specific, low-volume searches.
  • ICP (ideal customer profile) is the type of company you win most often and most profitably.
  • Pipeline is the total value of the qualified sales opportunities your team is working on right now, from first meeting to signed contract.
  • Bottom of funnel (BOFU) describes searches made close to a buying decision, such as "X vs Y" or "X pricing".

Why do B2B keywords show zero search volume?

B2B keywords show zero volume because few companies buy what you sell, so few people search for it. Keyword tools then round small numbers down or estimate them badly, and Google keeps rare queries out of Search Console to protect privacy.

That privacy rule matters more than most guides admit, and Google's own deep dive on Search Console data spells it out. "Anonymized queries are those that aren't issued by more than a few dozen users over a two-to-three month period." They still count in your totals. You just never see the words.

Think about who that hides from you, in a market as small as yours. Picture a plant engineer typing a twelve-word search about maintenance software that connects to SAP, the week after an audit went badly. Perhaps ten people make a search like it in a quarter, and one of them signs a six-figure contract. Google won't show you the query.

So a zero in a keyword tool means "unknown" more often than "nobody". Proof has to come from elsewhere: your sales calls, your CRM and the patterns in the queries Search Console does show.

Should you target low-volume B2B keywords?

Yes, when the search sits close to a sale and matches your best customers. A page that ranks for a search 20 people make each month can out-earn one that ranks for a search 2,000 people make.

Run the numbers. Here's an example for a SaaS company with an average first-year contract of US$40,000, and you can swap in your own figures:

Comparison page ("[competitor] alternative")Blog post ("what is preventive maintenance")
Visits a month202,000
Visits that become a qualified opportunity1 in 401 in 4,000
Opportunities a year66
Win rate1 in 41 in 10
New customers a year1.50.6
First-year revenueUS$60,000US$24,000

Look at the last row. Those figures are illustrative, but the gap between the two columns is the point. People comparing vendors are close to signing, while people learning a definition are months away, if they buy at all.

I learned this in a trade business, and it carries straight over to B2B. Before Searchmaxxed, I built Radiant Roof Repairs from zero to more than A$1 million a year in revenue using SEO as the only marketing channel. Three high-intent Gold Coast roofing searches reached number one within 90 days. I did the pages, research, competitor checks and updates manually.

Low volume has a catch. It works only when the page answers that buyer in full, so a thin page made to match a phrase earns nothing. We build each comparison or integration page from your sales-call questions, with your product's real limits stated.

How do you find B2B keywords in sales calls and your CRM?

Read your sales calls and CRM for the exact phrases prospects use, then turn each phrase into a search and a page. Your sales team hears them every week.

Start with these five sources, roughly in order of how much buyer language each one holds:

  1. Discovery call recordings. Pull transcripts from Gong, Chorus, Fireflies or whatever records your meetings. Search them for "how do", "can it", "does it work with", "compared to" and "we're currently using".
  2. CRM fields. Export closed-won and closed-lost deals from the last 12 months with the competitor, use case, industry, integration and lost-reason fields.
  3. RFPs and tenders. Requirements documents list what buyers check, in the words their procurement team uses.
  4. Support tickets and onboarding notes. These hold the "how do I" questions.
  5. Review sites. Read the reviews of your product and your competitors on G2 or Capterra for the problems people describe.

Then translate. Each phrase becomes a search, an AI prompt and a page, shown here for a CMMS (maintenance software) company selling to manufacturers.

Heard on a sales callLikely Google searchLikely AI promptPage to build
"We're on [competitor] but the reporting is awful"[competitor] alternative"What's a [competitor] alternative with better reporting for a mid-size manufacturer?"Alternative page
"Does it talk to SAP?"cmms sap integration"Which maintenance software integrates with SAP S/4HANA?"Integration page
"Procurement needs your security docs"[product] soc 2"Is [product] SOC 2 compliant?"Security and trust page
"We have to pass a food safety audit"cmms for haccp"Best CMMS for a food plant that needs HACCP records"Industry use-case page
"What does it cost per site?"[product] pricing per site"How is [product] priced for multi-site plants?"Pricing page

Your CRM adds the one thing a keyword tool can't: which of these phrases came from deals you won, and what those deals were worth. A competitor named across many won deals deserves an alternative page before one named twice.

We do this first on a B2B account. We connect Search Console, GA4 and your CRM, then record your categories, recent wins and the objections that stall deals. On our B2B SEO page we put it bluntly: sales calls tell us more than a keyword tool.

How do you use Search Console for B2B keyword research?

Open the Performance report, filter queries with a regular expression, and pull out the long, specific searches your site already appears for. These are real searches with real impressions, even when a keyword tool shows zero for the same words.

Search Console's query filter takes regular expressions, and Google's filtering guide says it uses RE2 syntax that isn't case-sensitive by default. Paste these into Add filter, then Query, then Custom (regex):

  • Comparison searches, which catch "vs", "alternative" and "competitor" phrasings: \b(vs|versus|alternative|alternatives|compare|comparison|competitor)\b
  • Integrations: \b(integration|integrate|integrates|connector|api|plugin|sync)\b
  • Pricing and buying searches, from "cost" and "quote" to "demo" and "trial": \b(pricing|price|cost|quote|demo|trial|licen[cs]e)\b
  • Security and compliance: \b(soc 2|iso 27001|gdpr|hipaa|fedramp|irap|security|compliance)\b
  • Question searches, the ones that start with how, what, why, which, can, does, is or should: ^(how|what|why|which|can|does|is|should)\b
  • Long searches, seven words or more: ^(\S+\s+){6,}\S+$

Copy them as written. Then set the longest date range Search Console offers, sort by impressions and look for three things:

  • Queries with impressions and almost no clicks. Google already tests you for them, and a dedicated page or a better title often turns them into clicks.
  • Queries that land on the wrong page. A pricing search that lands on a blog post needs its own page or a stronger link to the right one.
  • Clusters of rare phrasings. Ten long queries that each show a handful of impressions add up to one topic worth a page.

One limit to know: the Search Console screen exports at most 1,000 rows. Google's deep dive puts the API's ceiling at 50,000 rows per day per site per search type. On a big site, pull your queries through the API instead.

We read Search Console every week for clients. A query that keeps gaining impressions with no page of its own goes on the list for next week's release.

Which B2B keyword types bring the most pipeline?

Comparison, alternative, integration, pricing and security searches bring the most pipeline, because the people making them already know the category and are choosing a vendor. Problem searches bring traffic, not deals.

Keyword typeExample patternWho's searchingHow close to a dealPage to build
Alternative"[competitor] alternative"An unhappy customer of a rivalClosestAlternative page
Comparison"[you] vs [competitor]"A buyer with a shortlistClosestFair comparison page
Pricing"[product] pricing", "[category] cost"Finance or a buyer building a caseClosestPricing or cost page
Security and compliance"[product] SOC 2", "[product] IRAP"IT, security or procurementClose, often the last checkTrust and security page
Integration"[category] [platform] integration"A user who must fit an existing stackCloseIntegration page
Use case or industry"[category] for [industry]"A buyer checking fitMediumIndustry or use-case page
Category"[category] software"Early shortlistingMedium, and crowdedCategory page
Problem"how to reduce [problem]"Someone who feels the painFarGuide or article

Start at the top of the table. A comparison page sets your product beside a named competitor on criteria a buyer can check, and says who each option suits. Fair ones win. If yours hides your weaknesses, buyers notice and go back to the review sites.

Integration pages are often the most underrated B2B pages. They match exact searches and answer an IT question that can block a deal. AI answers lift them when someone asks which tools work together. Build one per integration with a real buyer behind it. Give each its own supported workflows and setup steps, so no two pages read as copies.

Our larger plans spend their output here. Agentic Search Engineering includes net-new comparison, industry and integration page families. Our SaaS SEO page sets out how we decide which integration and use-case pages earn a place.

How is B2B keyword research different in Australia and the US?

Australian and US buyers use different words for the same thing, so research each market in its own language and spelling. Spelling, procurement and compliance terms differ most.

TopicAustraliaUnited States
Spellingoptimisation, organisation, licenceoptimization, organization, license
Government buyingtender, request for tender (RFT), AusTenderRFP, RFQ, SAM.gov
Government securityIRAP assessment, Essential EightFedRAMP, CMMC for defence suppliers
PrivacyPrivacy Act, Australian Privacy PrinciplesHIPAA, CCPA, state privacy laws
Moneyex GST, financial yearsales tax, fiscal year
Local governmentcouncilcounty, municipality

Public-sector companies feel this most, because government buyers search in the language of their own rules. An Australian agency buyer searches "IRAP assessed [category]". A US federal buyer searches "FedRAMP authorized [category]". One page can't serve both well, so a company selling into both markets usually needs both pages.

Spelling matters too. Our enterprise SEO work covers multi-market sites where each market gets pages in its own terms.

Can you use ChatGPT for B2B keyword research?

Yes, for ideas, buyer questions and patterns, but not for search volumes. ChatGPT doesn't see Google's search data, so treat any number it gives you as a guess.

Prompts are research now. B2B buyers ask ChatGPT, Gemini, Perplexity and Google's AI Overviews as well as typing searches, and a prompt reads like a sales call. It carries context: company size, industry, current tools and the constraint that matters.

Here's how to use prompts as keyword research, step by step, with the same buyer context your sales team hears:

  1. Write the prompt your buyer would type. Use your CRM's real context. For example: "We're a 400-person food manufacturer in Victoria running SAP. Which maintenance software should we shortlist?"
  2. Run it in ChatGPT, Gemini and Perplexity. Note which vendors each one names, and which pages it links as sources for those names.
  3. Ask the follow-ups. Try "How do they compare on price?", "Which ones integrate with SAP?" and "Are any IRAP assessed?" That's where vendors get named or dropped.
  4. Turn each question into a heading. Each follow-up becomes an H2 on the matching comparison, integration or pricing page.
  5. List the sources the answers cite. Those review sites, lists and articles shape the shortlist before anyone reaches your site.

Ask ChatGPT to brainstorm, too. Give it your ICP, three won deals and a competitor list, then ask for the searches each committee member would make. You'll get a long list fast. Most will be noise. Your CRM tells you which of them are real.

In our managed plans, we track a fixed set of buyer prompts beside the Google rankings, built from the same research as the keyword list. Agentic Search Engineering runs it across ChatGPT, Gemini, Perplexity and AI Overviews.

How do you prioritise B2B keywords by pipeline value?

Score every search on how close it sits to a sale, how strong your evidence is and how well it fits your best deals. Then work from the top. Volume and difficulty only break ties.

When we score searches for clients, we weigh commercial value, intent, difficulty, current visibility and the page type needed to win. You can run a simpler version yourself with three scores from 1 to 3, multiplied together:

  • Pipeline proximity: 3 for comparison, alternative, pricing, security and integration searches. 2 for use-case, industry and category searches. 1 for problem and definition searches.
  • Evidence: 3 if the phrase comes up in sales calls or CRM records of won deals. 2 if Search Console shows it or support tickets raise it. 1 if only a keyword tool shows it.
  • Deal fit: 3 if it matches the segment with your largest or most frequent deals. 2 for a segment you win sometimes. 1 for a poor fit.

A worked example for a maintenance software company selling to manufacturers in Australia and the US:

SearchProximityEvidenceDeal fitScoreBuild order
[main competitor] alternative333271
cmms sap s/4hana integration333272
cmms for food manufacturing haccp233183
[product] pricing per site322124
cmms software2124Later
preventive maintenance schedule template1212Only if it feeds a bigger page

The two top rows might show zero volume in a keyword tool. They still go first, because buyers named them on calls and they sit one step from a contract. The head term "cmms software" scores low here because it's crowded and the evidence is thin, so it waits.

Re-score every quarter. A won deal that names a new competitor, or a new integration your product ships, moves a search up the list.

How do you know your keywords are producing pipeline?

Track each page's searches through to qualified opportunities in your CRM, and check your conversion tracking works before you trust any report. Rankings and traffic are leading signs, and pipeline is the result.

Check the plumbing first. Here's what we found when we checked the tracking on an enterprise B2B client's account. A client's four enquiry types never counted as conversions. Their event names ran 41 to 50 characters; GA4 cuts at 40. The 40-character "career" event counted every time. Nobody had noticed, because the events still showed up.

Google's GA4 collection limits confirm the rule: Analytics doesn't process "an event name with more than 40 characters". If your demo, contact or trial events break that limit, your keyword report will say your best pages convert nothing.

Then measure in this order:

  1. Visibility: impressions and positions for each keyword group in Search Console, with comparison, integration and blog searches on separate lines.
  2. Actions: demo requests, trial starts and contact forms by landing page in GA4.
  3. Pipeline: opportunities and their value in the CRM, joined to the first and last landing page where your CRM records it.

Judge on matched 28-day periods for monthly calls and 90-day periods for direction, because B2B sales cycles are long. A page that ranks this month may close two quarters later.

Where does Searchmaxxed fit?

Searchmaxxed is an SEO and AI SEO agency for enterprise, B2B SaaS, venture-backed, manufacturing and public-sector companies. We do keyword research, technical SEO, content, link building, digital PR, GEO, AEO and LLM SEO. The aim is to rank in Google and get named in ChatGPT, Gemini, Perplexity and Google's AI answers for the searches that bring pipeline.

Here's how it runs. We build on a website you own, our Agentic Website, on GitHub and Vercel. AI agents pull your Search Console and GA4 data, read the Google results, scrape competitor pages and check what AI answers say about you. Your CRM and sales calls show which searches carry deals. That feeds the Managed Search Loop, which shows which page, fix or link should bring in the most pipeline next. We build it, check the live page and measure what changed. Off your site, the Off-Page Source Layer builds the links, digital PR and mentions that AI answers draw on.

PackageWho it suitsWhat it includes
Growth SystemA company growing in one or two markets30 page releases a month, work on up to 4 existing pages, one qualified link action a month, AI visibility tracking
Agentic Search EngineeringA competitive category, or several markets50 page releases a month, net-new comparison, industry and integration page families, digital PR and link campaigns, AI answer tracking across ChatGPT, Gemini, Perplexity and AI Overviews
Custom & EnterpriseSeveral brands, several markets or a large siteMultiple markets, dedicated engineering, custom reporting and original first-party research

A page release is an approved new page or a substantial rebuild of one. Every managed package includes ongoing audits, a 90-day plan in weekly releases, the build work itself and a monthly decision memo. You own the site, repository, content and data from day one, and if you'd rather start smaller, the AI SEO Audit takes five business days. It shows where buyers search without finding you, and every fix ranked by what it's worth.

Searchmaxxed's work has generated more than A$10 million in revenue through search for its clients.

Is Searchmaxxed right for you?

We suit marketing and growth leads at B2B companies who want the keyword research turned into shipped pages, measured against pipeline. If you only want a keyword spreadsheet, we're the wrong call.

Searchmaxxed is a good fit ifLook elsewhere if
You sell to businesses or government, with deals worth chasing one search at a timeYou sell low-cost products where only high-volume traffic pays
You can share Search Console, GA4 and CRM access, and sales call notesYou can't share data, so keywords would come from tools alone
You want comparison, integration, pricing and security pages built and shippedYou want a one-off keyword list to hand to your own writers
You compete in Australia, the US or several markets at onceYou need search to fill this month's pipeline on its own
You want Google rankings and AI answers handled by one teamYou only want to monitor AI mentions; a tracking tool costs less

Pick your column honestly. If you're in the right-hand column, a keyword tool and a good in-house writer will serve you better for now.

Frequently asked questions

What is the difference between B2B and B2C keyword research?

B2B keyword research targets a buying committee in a small market, so it chases low-volume searches close to a sale. B2C research usually targets one buyer. B2B also leans on sales calls and CRM data, because tools miss many of the searches that convert.

How do you find B2B keywords with low search volume?

Read your sales calls and CRM for the phrases buyers use, then filter Search Console with regex for comparison, integration, pricing and long queries. Those sources show real searches that keyword tools round down to zero.

Can I use ChatGPT for keyword research?

Yes, for brainstorming searches, buyer questions and follow-ups. ChatGPT doesn't see Google's search volumes, so check its suggestions against Search Console, a keyword tool and your CRM before you build a page.

What are the best keyword research tools for B2B?

Google Search Console comes first, because it shows real queries for your own site. Add your CRM and call recordings for buyer language, then Semrush or Ahrefs for volume, difficulty and competitor gaps. Google Keyword Planner is free, though it's built for advertisers.

What is SaaS keyword research?

SaaS keyword research finds the searches software buyers make, from problems and use cases to integrations, comparisons, alternatives and pricing. Then it ranks them by distance from a demo or trial.

How many keywords should a B2B company target?

I'd start with the 20 to 50 searches that score highest on pipeline value, each with its own page. Twenty built pages beat a thousand-row spreadsheet.

How long does B2B keyword research take?

In my experience, a first pass takes one to two weeks. Pulling calls, CRM data and Search Console takes about a week, then scoring and mapping pages takes a few days. After that, re-score every quarter as new deals, competitors and integrations appear.

What should you do next?

Start small. Pull the last 20 discovery calls and your closed-won deals from the CRM. Write down every competitor, integration and question they mention. Run the Search Console filters above, score the list with the worksheet and build the top three pages first. If you'd like us to run it end to end, see how our SEO service works, or let's talk pricing.

REFERENCES
  1. deep dive on Search Console data
  2. filtering guide
  3. GA4 collection limits

Let's make you the answer.

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