GEO: the discipline that decides whether your brand exists in the age of AI search

Something structural has changed in the way people make purchasing decisions. This is not an algorithm update, nor a new feature from Google or Instagram. It is a break from the model that has governed information search since 2001, and the numbers confirm it unequivocally.

The end of the click era

Reliance on traditional search engines is projected to fall by as much as 25% by 2026. Users who once scrolled through pages of results are now asking an AI and receiving a single, direct answer. 65% of Google searches now end without a single click to any website. This “zero-click era” is not a niche phenomenon: it is already the norm.

Language models such as ChatGPT, Gemini, Perplexity or Claude do not return lists of results. They choose a winner. With ChatGPT reaching 800 million weekly active users in October 2025, doubling from 400 million in February, and AI adoption jumping from 14% to 29.2% in just six months, marketers who ignore this shift risk becoming invisible to a rapidly growing audience.

The scale of this change is epochal. A drop in ranking on traditional Google is a technical issue. Being excluded from AI-generated answers signals immediate irrelevance and, in the medium term, commercial extinction.

The data that changes everything

AI-referred sessions jumped 527% year-on-year in the first five months of 2025. 89% of B2B buyers now consider AI search a top source throughout the buying process. AI-driven traffic to US retail websites grew 693% during the 2025 holiday season, and shoppers arriving via AI convert 31% more than those from other organic sources.

58% of users have already replaced traditional search engines with AI tools when searching for products or services. 64% of consumers express readiness to purchase products suggested by AI. A brand excluded from an AI response is not on the second page: for that user, it simply does not exist.

What is GEO?

Generative Engine Optimisation (GEO) is the practice of structuring digital content and online presence to improve visibility within AI-generated responses. Unlike traditional SEO, which optimises for ranking positions in lists of links, GEO targets the engines that synthesise answers: systems like Claude AI, ChatGPT, Google AI Overviews, Perplexity and Gemini. When a user asks one of these platforms a question, the model draws on a range of sources to construct a single, authoritative response. GEO is the discipline that determines whether your brand is one of those sources, or whether it is absent from the answer entirely. The term was coined in 2023 by researchers at Princeton, and it is not a replacement for SEO, nor a passing trend. It is the next layer of the search ecosystem, built on top of the SEO foundations that organisations have spent years developing, and increasingly the layer that decides commercial outcomes.

SEO and GEO: not an alternative, an extension

One of the most common questions within organisations is whether the SEO investments built up over the years still make sense. The answer is yes, with one precise condition. 99% of citations in Google’s AI Overviews come from pages already in the organic top 10. Google still sends 345 times more traffic than Claude AI, ChatGPT, Gemini and Perplexity combined. Digital Tech Updates Those with a solid SEO architecture start with an advantage. Those who stop now risk being left with nothing. The signals that generative models use to decide whom to cite are the same ones that SEO has always worked with: authoritative content, sound technical site structure, and digital reputation built over time. But they add a new layer of complexity that demands a deliberate response.

Google’s AI Overviews now appear in 13% of all search queries, up from 6.5% in January 2025. In sectors such as health, science and law, the figure rises to 17%. Being present in that space means existing. Being absent means someone else has taken your place.

Single-shot reputation

In conversational search there is only the answer: there is no second page where one might hope to be rediscovered. The user receives a recommendation, at most two or three, and stops there. 26% of brands have zero mentions in AI Overviews in one industry snapshot: visibility is distributed very unevenly.

This dynamic eliminates any margin for error. Content with proper schema markup shows 30-40% higher visibility in AI-generated answers. AI platforms prefer content that is on average 25.7% fresher than content cited in traditional search. Brand data consistency across all digital touchpoints is no longer an operational detail: it is a strategic asset.

The next frontier: agentic search

There is a further level that most marketing directors are still overlooking. AI-powered agents such as OpenAI’s Operator, launched in January 2026, go beyond simply answering questions: they browse the web, compare options and complete tasks on behalf of users.

In this scenario, it is no longer a human interacting directly with your site, but their agent. The question of who actually buys from you will no longer have a straightforward answer. McKinsey has already noted that this shift transcends traditional SEO: companies will need to understand and align with the data structures, preferences and decision-making logic of AI agents. According to eMarketer, AI platforms are expected to account for $20.9 billion in retail spending in 2026 alone, nearly quadrupling 2025 figures.

Designing the “agent experience” is becoming as important as designing the customer experience.

What a marketing director should do now

The priority is to understand where and how the brand currently appears in the responses of the main AI models, and where it does not appear when it should. In 2026, users will tend to settle on the generative platforms they prefer, much as they have preferences between Google and Bing. It is therefore essential to identify which platforms your audience uses and to optimise accordingly. This is not a one-off analysis: it requires continuous monitoring with dedicated tools such as OmniSEO, Otterly.ai or Ahrefs Brand Radar.

The second level is brand data consistency. AI aggregates information from dozens of sources: official websites, press articles, reviews, social profiles and industry directories. If these sources contradict one another, or if some are incomplete, the model fills the gaps with approximations. The brand loses control of its own narrative at the very moment someone takes an interest in it.

The third level is the production of content designed to answer specific questions, not to rank for generic keywords. Comparison articles lead all content types with 32.5% of AI citations. Content with specific statistics, expert quotes and clear sources gets cited more frequently. The brands seeing the biggest GEO results in 2026 are those that started restructuring their content 6 to 12 months ago. Restructuring existing content tends to show results within 60 to 90 days, which is faster than waiting for new content to rank from scratch.

This is not about Google

What is at stake is not rankings on Google. It is presence, or absence, at the exact moment a potential customer asks an AI what to buy, which service to choose, or which company to trust. 47% of brands still have no deliberate GEO strategy, creating a real opportunity for early movers.

Those who address this challenge today gain a competitive advantage. Those who delay have already ceded valuable ground, and in this market, ceded ground does not come back.