For the past several years, SEO was the discipline that determined which companies appeared when someone searched for a product or service. The rules were well known: keywords, backlinks, page speed, technical structure.
Those rules remain valid. But they are no longer sufficient.
What is changing in search
In 2024, ChatGPT launched its search function with real-time web access. Perplexity had amassed millions of users who were no longer looking for lists of links, but direct answers. Google integrated AI Overviews into its results. Bing became a chat interface through Copilot.
User behaviour changed: instead of searching and clicking, people ask and read the answer.
This change has a direct consequence for any business that depends on being found: if your brand does not appear in those generative responses, it does not exist for that user. The click never happens because the traditional search never takes place.
What is GEO
GEO, Generative Engine Optimization, is the practice of optimising a brand's presence so that language models (LLMs) cite it as a relevant source when a user asks a question related to its category.
The difference from traditional SEO is structural:
- SEO optimises for algorithms that rank web pages. The goal is to appear in a list of results.
- GEO optimises for language models that synthesise answers. The goal is to be mentioned in a synthetic response.
In SEO, you win if your page appears in the top three results. In GEO, you win if the model cites you as the answer when someone asks.
Why LLMs cite some brands and not others
Language models have no arbitrary preferences. They cite brands and sources for identifiable reasons:
Presence in the training corpus. If your brand, your services or your expertise are documented in sources the model indexed during training, you have a structural advantage. If they are not, the model simply does not know you exist.
Clarity and citability of content. LLMs cite content that is easy to process: clear definitions, concrete data, logical structure, direct answers. Ambiguous content written purely for self-promotion is not cited.
Authority signals. Models learn to associate brands with expertise when there is consistency of mentions: articles in relevant publications, presence in sector directories, cross-references between sources.
Structured data. Schema.org and other structured metadata help the RAG (Retrieval-Augmented Generation) systems that power ChatGPT Search, Perplexity and Google AI to identify who you are, what you do and what category you belong to.
The five AI Search engines that matter in 2026
Not all AI engines operate in the same way. Understanding the differences enables you to prioritise:
- ChatGPT Search — uses real-time web search. Prioritises sources with domain authority and recent content.
- Perplexity — native AI Search engine. Heavily dependent on backlinks and mentions in reference media.
- Google AI Overviews — integrated into Google Search. Strongly influenced by traditional SEO signals (E-E-A-T, domain authority).
- Gemini — Google's conversational engine. Similar to AI Overviews in the signals it processes.
- Bing Copilot — uses the Bing Index. Relevant in markets where Bing holds significant share.
An effective GEO strategy addresses all five, though with different weights depending on the sector and target audience.
GEO and SEO: complementary, not substitutes
A frequent question: should I stop investing in SEO to do GEO?
The answer is no. They are complementary.
SEO builds the foundation of domain authority, backlinks and technical structure that AI engines value as credibility signals. A site without SEO authority is equally difficult to position in GEO.
GEO adds a specific layer: optimising content for citability, building semantic entities, and distributing in the sources that models prioritise.
The most precise analogy: SEO builds the reputation. GEO makes it visible in the new context.
The right moment to start
The GEO opportunity window is open now, in 2026. Companies that build authority in AI Search this year will have a structural advantage over those that arrive in 2027 or 2028, when competition is greater and positions more consolidated.
The parallel with SEO in 2004–2006 is precise: those who bet on organic positioning when no one understood it dominated their categories for years. GEO is at that same moment.
The first step is to understand the starting point: how your brand appears today in ChatGPT, Perplexity and Google AI. The generative presence audit is, in almost every case, a surprise.