GEO (Generative Engine Optimization) is the practice of optimising content to be cited by generative AI systems like ChatGPT, Claude and Perplexity. In B2B, where decision-makers increasingly use these tools for research, citable expertise is becoming a measurable competitive advantage. Fast Growth Advisors sets out the principles, the techniques and the way to measure the result.
What is GEO, and how does it work alongside SEO?
Optimising your content to be cited in generative AI answers: that is GEO, while SEO targets Google search results.
The difference is fundamental.
Google returns links, and the user decides which one to visit. ChatGPT, Claude and Perplexity synthesise a direct answer: they cite sources, but the user reads the answer, not necessarily the sources. Being the cited source in that answer is the new “first Google result”.
For B2B startups, the stakes are concrete.
When a head of engineering asks ChatGPT “what are the best monitoring solutions for Kubernetes?”, the response cites 3 to 5 solutions. Being on that shortlist is an acquisition channel nobody measures yet, but it already influences purchasing decisions. A buyer who meets your name in that answer arrives at your website already half convinced; one who doesn’t may never hear of you.
GEO doesn’t replace SEO, though. It complements it, and the two disciplines are largely compatible: content well structured for AI is also well structured for Google. Explicit headings, in-depth content, structured data, internal linking, careful meta descriptions: the areas of convergence are numerous.
One nuance, all the same.
SEO sometimes rewards keyword density and backlink tactics, whereas GEO rewards, above all, clarity of thought and expertise that is actually demonstrated on the page. Content that repeats “B2B messaging startup” fifteen times will be less citable than content that explains the subject thoroughly and coherently. At Fast Growth Advisors, every piece of content is optimised for both: we call this dual optimisation.
How do generative AI systems select which sources to cite?
They evaluate relevance, clarity and structure to answer a given question, without ranking pages by keywords the way a search engine does.
Several factors influence citability, and clarity of formulation comes first. Any content that directly answers a question, with a readable structure, is more likely to be selected than dense, ambiguous text.
Specificity matters too.
Better one subject treated in depth than ten topics skimmed. A 2,000-word article focused on “B2B messaging for European SaaS startups” will be more citable than a generic piece on “digital marketing”. Narrow scope is what lets an AI system match your page to a precise question.
Then comes technical structuring. H2 headings framed as questions, a summary at the top of the page, Schema.org-marked FAQs: these elements make information extraction easier for AI systems. Not magic. Content engineering, the kind Fast Growth Advisors applies to its own pages, starting with this one.
Which techniques build citable expertise for AI engines?
Six techniques form the foundation of B2B GEO, and Fast Growth Advisors applies all of them on this site.
1. Natural questions as H2s. People ask AI questions; if your H2 matches the question asked, your content becomes a direct candidate for the answer. “How do you structure B2B messaging?” is more citable than “Our messaging approach”.
2. A summary at the top of each page. Two or three sentences at the start let AI systems extract the essentials without parsing everything. For generative AI, it plays the role the featured snippet plays on Google. It is also the passage a hurried human reader sees first.
3. Schema.org-marked FAQs. This structured data helps AI systems identify answers; an FAQ with FAQPage markup is a strong relevance signal.
4. Verifiable claims. “We reduce sales cycles by 35%” is citable, “we improve commercial performance” is not.
AI systems look for concrete data to integrate into their responses, and a vague promise gives them nothing to quote.
5. Explicit definitions. When you define a concept (“B2B messaging is the argumentative structure that underpins all of a company’s communication”), you give AI a block of text it can use directly. Written as one self-contained sentence, a definition can be lifted without the paragraph around it.
6. Contextual internal linking. Because AI systems explore sites in depth, coherent internal linking reinforces the thematic authority they perceive.
How do you measure your GEO visibility?
Pragmatically, for lack of a standard tool: there is no equivalent of Google Search Console for generative AI, not yet.
The most direct method is to ask ChatGPT, Claude and Perplexity the questions your prospects ask, phrased in their own words rather than in your internal jargon. Is your company cited in the responses? If not, are your competitors? This manual benchmark takes an hour and gives an immediate snapshot. Repeat it every quarter with the same questions, and the snapshot becomes a trend.
Some tools, like Perplexity, explicitly display their sources. Tracking the citations that point to your site then becomes a GEO visibility indicator: not a standardised metric yet, but a strong signal. Check which pages are cited, and for which questions, and you will see where your expertise is already recognised.
At Fast Growth Advisors, the agentic approach we are developing with NOMO AI builds this dimension in from the content creation stage. Each article is analysed for citability before publication.
On the method side, our approach to AI visibility (GEO) explains how we work on citability. On the data side, the full Message-Market Fit Observatory 2026 report shows where French startups start from.
Making expertise citable first requires it to survive extraction. Our measurements show that one B2B site in three loses more than half its text before reaching the engine. ChatGPT visibility, what the engine sees of your site.
FAQ
Is GEO relevant for all B2B companies?
Mainly for those whose prospects research through generative AI.
In 2025, GEO already covered most tech decision-makers, but also a growing share of buyers in finance, consulting and industry. A B2B company whose customers never query ChatGPT, Claude or Perplexity can wait; the others have every reason to check now whether they are being cited.
Which GEO changes should come first on an article that’s already published?
The summary at the top of the page and question-style H2s.
Marked-up FAQs come next. On an existing article, these incremental touch-ups are often enough. An audit of existing content usually identifies the 20% of changes that produce 80% of the impact, before deciding whether anything needs rewriting at all.
Does GEO make SEO obsolete?
No: Google still accounts for the majority of B2B organic traffic.
GEO is a complementary channel, not a replacement for SEO. The soundest strategy is to optimise for both simultaneously, which is feasible since best practices largely overlap: explicit headings, in-depth content, structured data. SEO keeps bringing the clicks; GEO earns the mentions inside the answers.
How does Fast Growth Advisors integrate GEO into its services?
Every piece of content goes through dual SEO and GEO optimisation.
At Fast Growth Advisors, service pages, blog articles and diagnostic reports are all structured to be citable by generative AI. The NOMO AI agentic workflow includes a dedicated SEO and GEO agent, which checks the citability of each piece of content before it is published.