For twenty years, websites have been designed to convince a search engine: Google. Today, it is the artificial intelligence agents who read, interpret and recommend. SEO moves. It is no longer the engine algorithm that must be satisfied, but that of the model. SEO is entering a new era: that of optimization for intelligence.
The logic of the SEO was based on a well -known equation: structuring content to make it readable by Google, relevant to the user, and technically in accordance with good practices. We were talking about marked titles, loading time, netlinking, keywords. Each line of code or text had only one purpose: to be indexed, classified, then presented to a human user via a page of results.
This era is coming to an end. Information access interfaces are transformed. The search engine gives way to the conversational assistant. The blue link fades in favor of the synthetic response. It is no longer the user who seeks, but an artificial intelligence that anticipates, filters and reformulates. The act of research becomes invisible, encapsulated in a vocal or textual interaction. The screen is no longer an input point, but a secondary vector.
Cybercity, an expert agency in Search & Marketing Digital, organizes the 6ᵉ edition of the Big SEO
The agent as a new reader
The models of AI – Chatgpt, Claude, Gemini, Perplexity – do not index like Google. They interpret. They do not note a page according to criteria of popularity or authority, but according to its Semantic readabilityits ability to Respond to a natural language requestor at be in a reasoning.
Therefore, optimizing for an AI no longer consists in ranking at the top of a page. This isbe cited in an answerSummary with accuracy, integrated into an analysis. Information is no longer a destination, but a material. This is no longer the page you visit, but the content you extract.
A redefinition of the useful content
In this new configuration, the old SEO signals become partial, even obsolete. Technical metadata give way to a background assessment. AI is not looking for the right keyword, but The right paragraph. It does not value the number of backlinks, but conceptual density. It does not promote the rigid structure of a H1-H2-H3 plan, but argumentative consistency.
Optimization no longer aims to be found, but to be understood. The content must be Lossless summary,, quoted,, analyzed without ambiguity. The readability for models becomes an imperative editorial imperative: lexical clarity, contextualization of data, avoidance of hollow formulas.
The infrastructure also must adapt
The front-end is no longer intended only for a human user. The AI assistants visit the sites like a user, but on another scale: simulated scrolling, automatic filling of forms, dynamic content reading, extraction of tables or quotes. This forces publishers to design Pages interpreted by machineseven without API.
The SXO (Search Experience Optimization) becomes secondary in the face of what could be called the Mio: Optimization interpretation machine. The challenge is no longer to improve the user experience, but model analysis experience.
A new algorithmic competition
In an environment where AI becomes the main content prescribers – whether in research, customer support, shopping or voice navigation -, the objective is no longer to “please Google”, but to become the reference source of an agent.
Companies will have to ask themselves a new series of questions:
Is their content accessible to models? Is it used as a source? Is it correctly reformulated? Is it truncated, emptied of its substance, distorted?
And above all: is it preferred to that of competitors In a synthetic response generated by an AI?
In this logic, algorithmic positioning becomes opaque, moving, multifaceted. It is no longer a position on a page, but a place in a semantic graph. The former SEO gave indicators; The new one almost offers no longer.
