Glossaire · GEO

Agent Engine Optimization

Agent Engine Optimization (next-generation AEO) is the evolution of Answer Engine Optimization: it moves from "Answer" to "Agent." It is no longer only about optimizing for answer engines that respond to a question, but for AI agents that execute actions on the user's behalf — comparing, booking, buying, subscribing. Where Answer Engine Optimization aimed to become the cited answer, Agent Engine Optimization aims to become the option chosen and executed by the agent. This requires factual, self-sufficient content, but also actionable data: readable prices, up-to-date availability, workable purchase journeys, clear named entities and open access for AI crawlers. With the rise of agents and agentic browsers such as Comet or ChatGPT Atlas, the visibility challenge shifts from citation to transaction: a well-optimized brand is no longer merely mentioned, it is selected and acted upon by the agent.

Agent Engine Optimization extends AEO by shifting the meaning of its acronym: it is no longer only about the Answer Engine, but the Agent Engine. The question is no longer "how do I become the answer?" but "how do I become the option the agent chooses and executes?"

From Answer to Agent: what changes

Answer Engine Optimization sought to structure content so that an answer engine would select it as a direct answer. That was already a shift from the link to the citation. Agent Engine Optimization takes one more step: agentic AIs do not merely answer, they act. Optimizing for an agent means making sure it understands you, retains you, then chooses you at the moment of executing a real action — booking, buying, subscribing.

From citation to transaction

The tipping point lies in the end goal. Answer Engine Optimization wins when your brand is mentioned in an answer. Agent Engine Optimization wins when your brand is selected in an action. This demands actionable data: readable prices, up-to-date availability, purchase journeys that can be completed without friction. An agent that stumbles on an opaque conversion funnel will abandon your offer in favor of a smoother competitor, even if your editorial content was better.

What Agent Engine Optimization requires

The fundamentals of Answer Engine Optimization remain indispensable: factual, self-sufficient passages, clear questions as headings, structured data. To these you add a layer of actionability: identifiable named entities, reliable transactional information and clean access for AI crawlers. With the rise of agentic browsers like Comet and ChatGPT Atlas, this requirement is no longer forward-looking: it already conditions your presence in the decisions made by agents.

A concrete example

An agent has to subscribe to invoicing software for its user. Two vendors offer an equivalent solution. The first exposes its prices in the clear, its features as structured data and a readable sign-up journey; the second hides its prices behind a contact form and an opaque funnel. The agent picks the first, not because it is better, but because it is the only one the agent can understand and then act upon end to end. Agent Engine Optimization is precisely about being that first vendor.

Why prepare now

Brands that invest early in their machine readability and actionability gain a lasting head start. This is the purpose of our AEO service, designed to cover both citation and transaction. For the concrete levers, see our guide to optimizing a site for AI agents.

FAQ

Frequently asked questions

AEO is the discipline that optimizes a brand for AI engines and agents. The acronym first stands for "Answer Engine Optimization" — becoming the answer cited by ChatGPT or Perplexity — and now evolves toward "Agent Engine Optimization": becoming the option an agent chooses and executes. You move from citation to transaction.

AEO originally means "Answer Engine Optimization": optimizing for answer engines that cite a source. The acronym is now evolving toward "Agent Engine Optimization," because AI agents no longer act only to answer, but to execute actions. The same acronym therefore covers both citation and transaction.

GEO (Generative Engine Optimization) optimizes to be picked up in AI-generated answers, at the scale of content and brand. AEO more precisely aims to become the cited answer, then the option acted upon by an agent. They largely overlap: GEO covers the terrain, AEO targets the outcome — being chosen.

SEO optimizes for a ranking of blue links on Google, where the user clicks. AEO optimizes to be the answer cited or the option executed by an AI, without a click. SEO targets rank; AEO targets citation and transaction. The technical fundamentals remain, but the end goal and the signals change.

Structure factual, self-sufficient passages, phrase real questions as headings, add structured data (FAQPage, Article) and clarify your named entities. Open access to AI crawlers and make your data actionable: readable prices, up-to-date availability, purchase journeys an agent can complete without friction.

AI engines and agents read the web, select reliable passages and cite — or execute — them in their answer. AEO consists of making your content understood, retained and cited by these systems: factual clarity, machine-readable structure and actionable data guide the selection the AI performs.

Because search is shifting toward answers and actions generated by AI, often without a click to your site. Being cited and chosen by these engines becomes the new acquisition channel. With the rise of agentic browsers, a brand absent from AI answers disappears from decisions — hence the urgency of investing early.

Four pillars: factual, citable passages, clean structured data, clear and consistent named entities, and open access for AI crawlers. To these you add actionability — usable prices, availability and journeys — to cover both citation (Answer) and transaction (Agent).

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