Generative engine optimisation (GEO): a 2026 B2B guide

Generative engine optimisation (GEO) is the practice of making your website's content easy for AI assistants such as ChatGPT, Claude, Perplexity and Google AI Overviews to find, understand and cite in their answers. For most B2B companies, GEO is not a separate discipline but a sharper version of good SEO: clear answers, original evidence and pages that AI crawlers can actually reach.

Key takeaways

• Generative engine optimisation (GEO) is the practice of making your content easy for AI assistants such as ChatGPT, Claude, Perplexity and Google AI Overviews to retrieve, understand and cite.
• Google says optimising for its AI features is still SEO: there are no extra technical requirements, special files or schema needed.
• The term comes from a 2023 research paper whose authors reported visibility gains of up to 40% in generative engine responses, in test conditions.
• For B2B companies, the practical work is clear answers, original evidence, crawler access and honest measurement, not a new set of tricks.
• Be sceptical of GEO services that promise guaranteed citations: no third-party tool has access to Google's AI systems.

What does generative engine optimisation mean, in one sentence?

Generative engine optimisation is the work of increasing how often, and how accurately, AI-generated answers mention and link to your organisation. A "generative engine" is any system that writes an answer rather than just listing links: Google's AI Overviews and AI Mode, ChatGPT search, Perplexity, Claude with web search, and Microsoft Copilot.

The term was coined in a research paper, GEO: Generative Engine Optimization, first submitted in November 2023 and accepted to the KDD 2024 conference. Its authors built a benchmark of queries and reported that GEO methods "can boost visibility by up to 40%" in generative engine responses, while noting that what works varies by domain. That figure came from controlled experiments, not from live commercial sites, so treat it as evidence that content changes matter rather than as a forecast for your website.

You will also see "answer engine optimisation" (AEO) and "AI SEO". They describe the same goal.

Why should B2B companies in Europe care now?

Because AI answers now sit between your buyers and your website. Eurostat reports that 32.7% of people aged 16 to 74 in the EU used generative AI tools in 2025, and 15.1% used them for work. In Google Search, AI Overviews and AI Mode went live in France on 22 July 2026, France having been one of the few major markets without them.

The traffic effect is measurable. SISTRIX found that in Germany AI Overviews appear on just over 20% of keywords, and the click-through rate for position one falls from about 27% to 11% when one is shown.

For B2B, the stakes are specific. Buyers researching a supplier ask comparison and "how do I" questions, and an AI answer that names three vendors without yours removes you from the shortlist before anyone visits a website.

How does GEO actually work?

GEO works by improving the three things an AI system needs before it can cite you: access, understanding and trust.

1. Access. The assistant's search crawler must be allowed to fetch your pages. OpenAI says sites that opt out of OAI-SearchBot "will not be shown in ChatGPT search answers". Anthropic says blocking Claude-SearchBot may reduce your visibility in Claude's search results. For Google, a page must be indexed and eligible to show a snippet.
2. Understanding. The system retrieves passages that match the question. Pages that answer one question clearly, with headings that mirror what buyers ask, are easier to match and quote.
3. Trust. The system prefers sources that look reliable: original data, named expertise, consistent facts across the web, and claims backed by references.

Google's own guidance is blunt about what is not needed. Its page on AI features and your website says "there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary", and that you do not need new machine-readable files or special schema. Its optimisation guide adds that optimising for generative AI search "is optimizing for the search experience, and thus still SEO". We compare the two disciplines side by side in GEO vs SEO for B2B websites.

What does GEO look like on a real B2B website?

In practice, GEO changes how pages are written more than how they are built. A few illustrative changes:

Typical page today	GEO-ready version
"Solutions" page full of adjectives	Page that states plainly what the product does, for whom, and at what price range
Blog post that opens with scene-setting	Post that answers the question in the first two or three sentences
Claims such as "industry-leading"	Specific, sourced facts: certifications, numbers, dates
Gated PDF holding your best research	Key findings published on an open page, PDF optional
robots.txt copied from an old template	Deliberate choices per AI crawler, reviewed yearly
Success measured by sessions only	Search Console AI impressions, AI referrals and enquiries tracked together

Our 12-point checklist for content AI assistants cite turns these into a page-by-page review.

What does GEO cost?

For a company that already publishes content, GEO is mainly a cost in time and editorial discipline, not software. Typical cost areas:

• Content rework: rewriting key service, comparison and FAQ pages so they answer questions directly. This is the largest effort.
• Original evidence: surveys, benchmarks or anonymised data you can publish. This is what makes you citeable rather than one of many similar pages.
• Technical review: crawler access, indexing problems, page speed and structured data that matches visible content.
• Measurement: free tools cover a lot. Google's generative AI performance report in Search Console shows how often your URLs appeared in AI features, and was rolled out to all websites worldwide as of 31 August 2026. Paid AI visibility trackers exist, but read their methods carefully. Our guide on how to measure AI search visibility without expensive tools covers the free route.

If GEO is part of a wider go-to-market push, it belongs in the launch plan rather than as a separate project. Treat it as one channel among several, with its own owner and quarterly review.

What are the common GEO pitfalls?

The biggest pitfall is paying for tricks that do not exist. Google warns that "no third-party tool has access to our internal ranking or AI systems" in its optimisation guide, and lists myths you can ignore for Google Search, including chunking content into tiny pieces, rewriting pages for AI, and chasing inauthentic mentions. It also warns that pages created mainly to manipulate rankings or AI responses may breach its scaled content abuse policy.

Other common mistakes:

• Blocking the wrong crawler. Blocking GPTBot stops training use; blocking OAI-SearchBot removes you from ChatGPT search answers. They are separate controls.
• Measuring only clicks. Google itself argues that AI Overview clicks are "higher quality" in its May 2025 guidance. Whether or not you accept that, track enquiries and pipeline, not sessions alone.
• Generic content. If your article says what fifty others say, there is no reason for an assistant to cite you.
• Inconsistent facts. Different prices, founding dates or service lists across your site and profiles make it harder for any system to state facts about you confidently.

Where should a B2B company start?

Start with the questions your buyers already ask your sales team, and make sure your site answers each one clearly. Then check that AI search crawlers can reach those pages, open the generative AI report in Search Console, and review results each quarter. GEO rewards companies that know their subject and say it plainly.

Frequently asked questions

Is GEO the same as SEO?

Mostly, yes. Google states that optimising for generative AI search is still SEO and that no special optimisation is required for AI Overviews or AI Mode. The differences lie in emphasis: GEO puts more weight on quotable answers, original evidence and access for non-Google crawlers such as OAI-SearchBot and Claude-SearchBot.

Do I need an llms.txt file for GEO?

Not for Google. Google says you do not need new machine-readable files or AI text files to appear in its AI features, and that such files will neither harm nor help visibility in Search. Other assistants may read the file, but usage data so far suggests most llms.txt files are rarely requested.

How long does GEO take to show results?

There is no reliable published benchmark. Content must first be crawled and indexed, and OpenAI says robots.txt changes for its search crawler take about 24 hours to be picked up. In practice, treat GEO like SEO: a quarterly programme, measured over months rather than weeks.

Can a small B2B company compete with large brands in AI answers?

Often, yes, on narrow questions. AI assistants answer very specific queries, and a small firm that publishes the clearest, best-evidenced answer to a niche question in its field has a real chance of being cited. Broad, generic topics are much harder to win.

What does GEO cost?

If you already publish content, GEO is mostly a change in how you write and structure it, so the main cost is time. Extra costs come from technical fixes, original research and any paid monitoring tool. You can start measuring with free tools such as Search Console and Bing Webmaster Tools.

If you would like a second opinion on where your website stands in AI search, book a free 30-minute call with our team.

Cover photo by RDNE Stock project on Pexels.