The State of GEO: AI Search and What It Means for B2B Brands
AI-driven search has changed how buyers discover vendors. Generative Engine Optimization (GEO) is the discipline of making your brand visible, accurate, and recommended in that new reality. Here is our honest perspective on what is happening and what to do about it.
What is actually changing
AI engines are now part of the buying journey
More and more B2B buyers are turning to ChatGPT, Perplexity, Claude, Gemini, and Grok to answer questions that used to start with a Google search. Vendor discovery — “what’s the best tool for X?” — is increasingly happening inside these assistants.
Most brands have no idea if AI recommends them
SEO tools show keyword rankings. Analytics tools show traffic. But almost nothing tells a marketing team whether AI engines are recommending their product, ignoring it, or — worse — misrepresenting it. That gap is what Citora is built to close.
AI citation is not an accident
AI engines pull from a consistent set of trusted sources: review platforms like G2 and Capterra, community discussions on Reddit, comparison content, Wikipedia, and news. Brands that appear authentically across these sources are cited more often. It is a discipline, not luck.
GEO and SEO reinforce each other
A strong SEO foundation makes your content more likely to be retrieved by AI engines. But GEO adds a new layer: presence on the sources AI trusts most, structured content that AI can parse, and a knowledge-graph identity AI can verify. Both matter.
How AI engines decide what to recommend
Traditional search engines rank pages by crawling the web and scoring relevance and authority signals. AI engines work differently. They retrieve information from training data and — increasingly — from live external sources via retrieval-augmented generation (RAG). They then synthesise an answer, often without showing the user a list of ranked links.
This means being on page one of Google does not guarantee being mentioned by ChatGPT. The sources AI engines retrieve from are not the same sources Google ranks. Review platforms, community forums, comparison content, and knowledge graphs carry outsized weight in AI recommendations.
AI engines tracked by Citora — ChatGPT, Claude, Gemini, Perplexity, and Grok — each have different retrieval patterns, transparency levels, and tendencies. Some cite sources explicitly; others synthesise without attribution. Citora runs standardised prompts across all five to give you a consistent, comparable picture.
GEO principles worth knowing
Measure before you optimize
You cannot improve what you do not track. The first step is knowing which AI engines mention your brand, on which prompts, in what position, and with what sentiment.
Hallucinations are a real risk
AI engines sometimes invent details about products — claiming features that do not exist, quoting prices that are wrong, or conflating your brand with a competitor. Citora detects and flags these so they do not corrupt your metrics.
Competitor share-of-voice is the right frame
Raw citation counts matter less than relative share. If your top competitor is mentioned in every AI response and you are absent, that is the gap to close. GEO is a competitive discipline.
The sources AI trusts are known
Reddit discussions, G2 and Capterra reviews, comparison listicles, Wikipedia, press coverage, and original research are consistently retrieved by AI engines for B2B recommendation queries. Optimizing your presence there is the core of GEO.
See where you stand today
Run a free audit across ChatGPT, Claude, Gemini, and Perplexity and see instantly whether AI engines know your brand — no signup required.