A couple of years ago, when a client asked to "rank first on Google", we all understood the same thing: the first blue link in the results list. That conversation has changed from the ground up. More and more users never even see that list: they ask an AI assistant directly and get a synthesized answer, with two or three brands cited as trusted sources. If yours is not among them, you lose the opportunity without ever appearing on screen.
The scale of the shift, in numbers
The volume is no longer marginal. At the start of 2026, ChatGPT reached close to 900 million weekly active users, more than double from a year earlier. Gemini surpassed 750 million monthly active users through its app, on top of more than 2 billion people receiving generative answers via Google AI Overviews. Perplexity exceeds 45 million and Claude 30 million, with the highest average session value among the major assistants.
Gartner expects that by 2028 half of online searches will involve an AI assistant. If half of the market's queries are going to pass through a conversational layer, not being present there is equivalent to being invisible to a huge share of potential customers.
What makes a brand get cited by AI
The reference academic work on this discipline, the paper "GEO: Generative Engine Optimization", presented at the 2024 KDD conference by Princeton researchers, demonstrated something very concrete: adding citations, verifiable data and statistics to a piece of content can improve its visibility in generative answers by more than 40%. Answer engines do not reward slogans, they reward extractable facts: clear, self-contained passages, comparison tables, FAQ sections, and structured content that an AI can parse and cite with confidence.
The factors that matter most today for ranking within AI engines differ from classic SEO: entity authority (how recognized the brand is across the web as a whole), content extractability, the density of verifiable facts, freshness, and signals of experience and trust.
What this means for a B2B company
This is not about replacing SEO with GEO, but treating them as a single piece of infrastructure: technical SEO is still the foundation on which AI visibility is built, and GEO is the layer that decides whether, when a B2B buyer asks ChatGPT "which provider of X should I hire", your brand appears in the answer or vanishes off the radar without anyone noticing. Measuring it requires new tools, such as monitoring brand mentions in generated answers and referral traffic from these platforms, because Google rankings alone no longer tell the whole story.