SEO and GEO: get found onGoogle and cited by AI in 2026

SEO and GEO do not answer the same question

GEO, or Generative Engine Optimisation, covers the practices that increase the likelihood of content being used or cited in an AI-generated answer. SEO primarily seeks to rank a page within a list of results. GEO seeks to make information clear, reliable and well contextualised enough for a generative system to use it as a source.

The distinction lies in the outcome being observed. In SEO, you track a URL, a query, a position, impressions and clicks. In GEO, you observe a question, the answer returned, the brands mentioned, the sources attached to it and how stable that presence remains over time. The same page can perform well in one area and poorly in the other.

What conventional SEO measures

Search Console provides a solid foundation: queries, pages, countries, devices, clicks and impressions. These data answer a simple question: does your page appear when someone searches for information? They also help identify content that is close to reaching the first page, titles with a low click-through rate and pages that are losing ground.

SEO is not simply about keywords. Search engines need to access the content, understand its structure and connect the page with the rest of the site. Reading experience, internal links, the source's reputation and the freshness of the information also contribute. These foundations remain valuable for GEO.

What GEO measures

GEO looks at whether a generated answer names your company, uses data from your site or cites one of your pages as a reference. That presence may be explicit, with a link, or less direct, when a brand is recommended without a visible source. The two cases need to be distinguished. A citation linked to your page does not carry the same value as a mention that cannot be attributed.

The France Num guide to GEO, published in February 2026 and updated in April, confirms this continuity. It recommends retaining SEO fundamentals, structuring answers, citing reliable sources and making expertise identifiable.

Why more than half of searches in this sample already display an AI Overview

The SERP analysis used to build this outline observed an AI Overview for 55% of its sector-specific sample. That figure describes this corpus at this point in time. It must not be presented as an average for all searches in France. Whether an overview appears varies with the question, sector, language, account and tests being run by Google.

The signal still matters for an SME. A respectable ranking no longer guarantees that someone will see your link before receiving a summary. The search results page may already contain an answer, products, a map, a video or a block of related questions. The amount of visual space occupied matters as much as the raw ranking.

This change does not make clicks irrelevant. It means separating three objectives: being visible, being cited and receiving a qualified visit. Some simple questions end on the results page. Others prompt a comparison, a verification or an enquiry. Content therefore needs to answer quickly, then give readers a clear reason to visit the source.

A page that buries its answer beneath a long introduction loses on both fronts. It is less helpful to the reader and provides a passage that is harder for generative systems to use. Start with a definition or a direct answer. Then add the method, limitations, evidence and circumstances in which the answer changes.

How to move from SEO to GEO without starting again

Do not create a second editorial site dedicated to AI. Begin with pages that already answer an important question and receive impressions. They have a history, links and sometimes topical authority. The first task in GEO is to make their answers easier to extract and verify.

Identify the passages that provide a definition, method, comparison or data point. Every precise claim needs context, a date if it may change and an identifiable source. A statistic without an origin weakens the page. A secondary source that merely repeats another source adds noise. Whenever possible, return to official documentation, the original study or your own data.

The structure should follow real questions. An H2 answers a broad question. H3s address its variations and objections. Tables suit stable comparisons. Lists are useful for a procedure, not for artificially breaking up every paragraph. Schema.org markup helps describe the content, but it cannot turn a weak answer into a reliable source.

Also review the SEO settings to check on your website. A page that cannot be crawled, only renders after a JavaScript error or loads too slowly begins at a disadvantage before its editorial quality is even assessed.

SEO, GEO and AEO: what these initialisms really mean

These terms do not describe three entirely separate professions. They describe different answer surfaces and outcomes. SEO focuses on the discovery and ranking of a page. AEO seeks to provide a concise answer in a search engine or assistant. GEO focuses on how content is used in a generated summary drawn from several sources.

The boundaries continue to shift. A passage optimised for a short answer may be reused in an AI Overview. A well-ranked page may inform an assistant. Proprietary research may be cited without occupying the top position for the tracked query. It is better to manage observable objectives than to defend a label.

What general advice does not tell you: how to measure an AI citation

There is no universal equivalent of Search Console for generative engines yet. Answers vary by tool, time, account and sometimes by wording. A single screenshot proves that a citation occurred. It does not prove stable visibility.

The most useful method begins with a fixed panel. Select discovery, comparison and decision-stage questions. Record their exact wording. Test them at regular intervals in the same tools. For each answer, note the date, whether the brand appears, the link cited, the position of the mention and the visible competitors.

Add a qualitative check. Does the answer attribute your data correctly? Does the cited page genuinely answer the question? Is the brand recommended, merely listed or used as a neutral source? An incorrect citation should be corrected at source whenever possible. It should not be counted as a success.

Finally, connect this monitoring with your site data. A citation may generate direct visits, branded searches or no identifiable session. Observe the cited pages in Search Console and your analytics, but do not automatically attribute every change to GEO. The two sets of data provide context, not proof of causation.

Work in-house, use tools or bring in specialists: what each option covers

The right choice depends less on company size than on available time and the desired level of autonomy. A team that already publishes content can improve how it structures sources and measures citations. A team without reliable data first needs a monitoring system. A complex site or one losing visibility often needs an external diagnosis.

In-house work is a sound option when the people writing and approving content can consistently apply the method. Monitoring tools help centralise observations, priorities and the history of changes, avoiding a fresh analysis whenever responsibilities move between people.

Support from an SEO agency becomes useful when the problem spans several layers: crawling, architecture, content, reputation and measurement. For a migration or change of technology, the scope should include protecting organic visibility during the redesign.

Always ask what will be delivered, who retains access to the data and how the outcome will be verified. A dashboard without decisions is not a strategy. Producing content without a measurement protocol gives you no way to know which work should continue.