GEO for B2B
GEO strategy for B2B: get named before sales calls.
What a GEO strategy for B2B looks like when buyers ask ChatGPT, Claude, Perplexity and Gemini for a shortlist first. The prompts, the sources, the steps and the numbers to track.
Short answer
What is a GEO strategy for B2B?
A GEO strategy for B2B gets your product named and cited when buyers ask AI for a shortlist. You find their prompts, fix your pages, add sources assistants trust, and track citations.
In brief
Five things to know first.
The shortlist forms early
An assistant returns one answer with a few sources, not ten links. A brand that is not cited is not considered.
Start from buyer prompts
Map the questions buyers ask before they decide. Every later step, and every measurement, hangs on that set.
Facts beat slogans
Assistants repeat what they can confirm: features, pricing, reviews. Vague homepages give them nothing to quote.
Your site is not the only source
Review sites, communities and comparison pages shape the answer too. Work there as well as on your own pages.
Measure citations, not rank
Track citations of your product across agreed buyer prompts in ChatGPT, Claude, Perplexity and Gemini, against a baseline taken before work begins.
Why it matters
Buyers shortlist before they call you.
B2B buyers now ask an assistant for a shortlist, and the answer names a few vendors. If your brand is not cited, it is not considered, and rivals take the shortlist first.
Most sites lead with slogans and hide the facts behind a demo form. An assistant then has nothing specific to repeat, and names the competitor whose features, pricing and reviews it can confirm.
Switching questions
“What are the best alternatives to HubSpot for startups?” Buyers ready to switch take the names the assistant gives.
Category questions
“What is the best CRM for a 10-person sales team?” The tools named are the demos that get booked.
Requirement questions
“Best tool for SOC 2 compliance automation.” Specific pages on what you cover, and for whom, earn a name.
What it is
GEO B2B, AEO and AI SEO: one goal.
A generative engine optimization B2B plan aims at one result: your company named when a buyer asks for options. Generative engines blend several sources into one answer.
An AEO strategy for B2B and GEO are in practice the same work under two names. What differs between providers is the method, not the goal.
| Classic B2B SEO | B2B GEO strategy | |
|---|---|---|
| Goal | Rank pages for keywords | Be named and cited in answers |
| Starting point | Keyword lists | The prompts buyers ask before deciding |
| Where work happens | Your own pages and links | Your pages plus reviews, communities and directories |
| Success measure | Rankings and clicks | Citations and share of voice against a baseline |
What stays the same
Start from the SEO you already do.
A B2B GEO strategy is not a restart. Google says its AI features have no additional technical requirements: a page must be indexed and eligible to appear in Search with a snippet.
Creating content people find “unique, compelling, and useful” will likely influence presence in generative AI search more than any other suggestion, Google adds.
Crawlable pages
OpenAI says sites opted out of OAI-SearchBot will not be shown in ChatGPT search answers.
Non-commodity content
Google separates common-knowledge listicles from unique expert takes, and recommends the latter.
No special files required
Google says Google Search does not use llms.txt or special AI markup. Other engines may differ, so verify per engine.
See which prompts name your rivals.
The free AI audit maps buyer prompts across ChatGPT, Claude, Perplexity and Gemini and shows who is named instead of you.
The steps
B2B generative engine optimization strategies in five steps.
This is the order LLMReach runs the work, a method we call the Citation Stack. Each step feeds the next, and the first prompts set the scope for everything after.
Research buyer prompts
Identify the fifty prompts buyers use before they decide, agreed before any work begins.Fix technical signals
Open crawler access, fix rendering and schema, so assistants can reach and read your key pages.Write answer-first pages
Product, pricing, comparison and alternatives pages built for the agreed prompts, claim first.Build source presence
Work on the review sites and communities buyers trust, within each community's rules. Nothing automated.Track citations
Count citations per prompt and platform against a baseline taken before work starts.
Sources
Your site is one source among several.
Assistants confirm vendors across review sites, comparison pages and community threads. In LLMReach's test of 10 B2B software questions across 30 AI answers, G2 was cited 4 times, by Gemini and Perplexity.
Only 25 of the 117 products named appeared in the answers of all three assistants. Check each assistant on its own.
Measurement
B2B AI search KPIs to track.
There is no Search Console for AI answers, and answers change by platform, prompt and week. Keep each metric separate; averaging them into one score hides the gap that needs action.
| KPI | What it shows |
|---|---|
| Visibility | How often you appear in answers to your prompts |
| Mentions | Times the brand is named in the answer text |
| Citations | Times your pages are used as a source |
| Share of voice | Your share of all brand mentions versus rivals |
| Average position | Where you appear when you are named |
| Cited sources | Which pages shape the answers, yours or others |
Ready to start the 90-day plan?
You approve every page and we run the work, about an hour a week from you.
Baseline
Set a baseline before you act.
A mention is not a citation: a brand can be named without its site being cited. Take the baseline first, so later work is read against it.
Be clear about limits. A visibility gain does not by itself prove pipeline or revenue. Connect the findings to your own analytics before you claim impact.
Coverage gaps
Buyer questions where your company is absent from the answer.
Citation gaps
Questions where you are named but your site is not cited.
Competitive gaps
Who is named in your place, and from which sources.
AI referrals
Track visitors AI assistants send to your site, for example in GA4.
FAQ
GEO for B2B: common questions.
Where does a GEO strategy for B2B start?
A GEO strategy for B2B starts with the buyer prompts. You find the questions buyers ask an assistant before booking a demo, check which products each assistant names and which sources it cites, then close the gap with clearer product pages, comparison content, schema and presence on review sites and communities.
Why does my competitor get named and not my product?
Usually the competitor's facts are easier to confirm: clear product and pricing pages, comparison content and consistent reviews on sites like G2. An assistant names what it can verify. A vague homepage with no review presence gives it nothing to confirm, so it picks the vendor that does.
Is GEO the same as AEO for B2B?
In practice, yes. GEO and AEO are two names for work aimed at one result: your company named or cited in an AI-written answer. The difference between providers is method, not the label, so compare what they track, where they work and how they report.
Can you rank in ChatGPT like you rank in Google?
Not exactly. ChatGPT has no fixed list of positions to climb. OpenAI says it ranks results using multiple factors and placement is not guaranteed. The work is building evidence the assistant can confirm, on your site and on trusted third-party sources, then measuring citations.
How do you measure a B2B GEO strategy?
B2B GEO measurement counts mentions and citations across an agreed set of buyer prompts in each assistant, against a baseline taken before work begins. Add share of voice, average position and cited sources, plus the visits AI assistants send to your site.
Do I need to stop doing SEO?
No. GEO builds on SEO. Google says the same foundational SEO best practices apply to its AI features, and most GEO work, from clearer pages to authority, helps both. GEO adds off-site presence and per-assistant measurement.
How long does B2B GEO take to show results?
Plan around a 90-day window. LLMReach's engagement is built on that period, with a baseline before work starts, weekly updates and a review every two weeks. Expecting results in a few weeks is a poor fit, because citations build as pages and sources change.
Free AI Audit
Find out who AI names when your buyers ask.
You leave knowing where the gap is, what is causing it, and which changes would matter first, whether we work together or not.
What to expect
Audit
Before the call, we run your buyers' questions through ChatGPT, Claude, Perplexity and Gemini.
Map
On the call, we show you where competitors are cited and you are not, and what's causing it.
Decide
An honest read on whether the Citation Stack fits. If it doesn't, you'll hear it on the call.
Don't see a time that works? Email Karim directly: contact@llmreach.ai