GEO

GEO vs SEO: what really changes in 2026

GEO does not erase SEO: it moves the unit of success from a click on a ranked link to a mention inside a written answer. Here is what really changes, what does not, and how to measure it without fooling yourself.

  • GEO
  • SEO
  • AEO
  • AI Overviews
  • AI Mode

In short

For Google, optimising for its AI features is still SEO: AI Overviews and AI Mode rest on its ranking systems and require a page that is indexed and eligible for a snippet. What changes is the unit of success — being named, cited or recommended in an answer — and measurement, which becomes repeated sampling. The SEO foundation remains the prerequisite; GEO adds recommendation and third-party sources.

On this page
  1. SEO, AEO, GEO: three words, one useful question
  2. What does not change: Google's position
  3. What really changes
  4. The unit of success
  5. Comparison and recommendation queries
  6. Measurement becomes sampling
  7. Engines that do not all search the web
  8. Third-party sources and consistent facts
  9. Traffic attribution
  10. SEO and GEO side by side
  11. The myths to ignore
  12. An action plan for 2026
  13. How NeoRank measures both
  14. Frequently asked questions

SEO, AEO, GEO: three words, one useful question

SEO (Search Engine Optimization) is about being found in a search engine's results: a page that is crawled, indexed, then ranked for a query. AEO (Answer Engine Optimization) is about being the answer an assistant reuses for a precise question. GEO (Generative Engine Optimization) targets the answer that compares, ranks and recommends: “which tool should I choose for…”, “what are the alternatives to…”.

The three overlap widely. The most useful distinction is not technical; it is the question being asked. AEO targets “what is” and “how do I”, GEO targets “which one” and “instead of”. That is the definition on our GEO page, and it has a practical consequence: you do not track the same questions.

What does not change: Google's position

Google has published a guide to optimising for its generative AI features. Its answer to “is SEO still relevant?” is one word: yes. AI Overviews and AI Mode are rooted in its core ranking and quality systems, through two techniques it names:

  • Retrieval-augmented generation (RAG, or grounding): up-to-date pages are retrieved from the search index, then the answer is written from them, with links to those pages.
  • Query fan-out: the model issues several related searches in parallel to cover the sub-questions.

The same guide adds that, from Google Search's perspective, optimising for generative AI search is optimising for the search experience, and thus still SEO. The page AI features and your website spells out the conditions: to be shown as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to be shown with a snippet. There are no additional technical requirements and no special markup.

What really changes

The unit of success

In classic SEO, success reads as rankings, impressions and clicks on a ranked link. In a generated answer there is no list of ten links: your brand is named, recommended or cited with a link, or it is not there. Ranking second in a list of links still earns clicks; being absent from a written answer earns nothing.

Comparison and recommendation queries

Questions such as “which one should I choose”, “X or Y?” and “alternatives to X” expect an answer that decides. The engine needs verifiable facts to compare: terms, areas served, integrations, use cases. A fact missing from your site is a fact the engine guesses or takes from elsewhere.

Measurement becomes sampling

A rankings report is stable from one day to the next. A generated answer is not: the same question asked twice can produce two different answers. Honest GEO measurement therefore asks the same questions repeatedly and reasons over several runs, never over a single snapshot.

Engines that do not all search the web

Not every engine works like Google. Some answer from a web search at the time of the question; others answer from their model's knowledge, which has a date. A page published yesterday can count quickly in the first case and take time in the second. Our AEO page states, engine by engine, which of the two modes NeoRank observes.

Third-party sources and consistent facts

An answer rests on what several sources say about you. The directories, publications and comparison sites the engines cite become direct levers, and inconsistencies — a name written three ways, an offer described differently from page to page — end up in the answers.

Traffic attribution

Traffic from AI is hard to measure. On Google's side, the page AI features and your website says sites appearing in AI Overviews and AI Mode are counted in Search Console's Performance report, within the “Web” search type, mixed with classic results; Google's guide points to Search Console's Generative AI performance report for a dedicated view. For other engines, a recognisable source in Google Analytics 4 gives a floor, not a total: a copied link or an app without a referrer does not show up.

SEO and GEO side by side

SEOGEO
GoalBe found and clicked in the resultsBe named, cited and recommended in the answer
Unit of successRanking, impression, clickMention, citation, recommendation, position in the answer
Key signalsCrawling, indexing, relevance, quality, linksThe same, plus verifiable facts, consistency, third-party sources
MeasurementStable reports (Search Console)Repeated samples of answers
ToolsSearch Console, technical audit, rank trackingPrompt observations across several engines
HorizonWeeks to monthsVariable: quick if the engine searches the web, longer if it answers from its model

The myths to ignore

Google's guide devotes a whole section to what you do not need to do for its generative search:

  • Chunking content into tiny pieces: its systems understand a page covering several topics and show the relevant part.
  • Creating an llms.txt file or special markup: Google Search does not use them. Maintaining them for other services does no harm, but does not help on Google either.
  • Rewriting pages for AI: the systems understand synonyms; there is no need to chase every phrasing variant.
  • Seeking inauthentic mentions: ranking systems favour quality and other systems block spam.
  • Overfocusing on structured data: it is not required for generative search, even though it stays useful for rich results.

What the guide does recommend is non-commodity content: a point of view of your own, first-hand experience, analysis that goes beyond common knowledge. It extends the guide to helpful, reliable, people-first content.

An action plan for 2026

  1. Check the foundation: pages that are crawlable, indexed and allowed a snippet. Google's SEO Starter Guide is still the reference, and a technical audit shows the gaps page by page.
  2. List your category questions: five to ten questions a customer asks before knowing you, including comparisons and “alternatives to”.
  3. Measure over several runs: ask those questions to the engines, note who is named and cited instead of you, and compare across runs.
  4. Fill the gaps: pages per use case, an honest comparison, verifiable facts published, the same information everywhere.
  5. Work on third-party sources: the domains cited without your site are your PR and partnership targets.
  6. Measure again after a new crawl, then relate the trends to traffic and conversions.

How NeoRank measures both

For SEO, NeoRank relies on its technical crawl and on Search Console, which you connect to your own account, for rankings, impressions and clicks. For GEO, it asks real prompts to the AI engines and parses every answer. The details are in what NeoRank measures for GEO:

  • Share of voice: your brand's mentions divided by the mentions of your brand and tracked competitors, over the last three observations; it is the GEO score.
  • Weighted share: an entity named in position n receives 1 ÷ n, which rewards being named early in the answer.
  • Sentiment: a French / English lexicon classifies the excerpts naming your brand; a simple, verifiable reading, not a fine analysis.
  • AI traffic share: with GA4 connected, the sessions whose source contains chatgpt, openai, perplexity, gemini, claude, copilot or bing chat — a floor, not a total.

Whatever has not been measured is shown as “Not measured”, never as a zero: see Sources and “Not measured”. To go further, read our AEO guide and what you can measure about AI Overviews.

Frequently asked questions

Does GEO replace SEO?
No. For Google, optimising for AI Overviews and AI Mode is still SEO: a page must be indexed and eligible for a snippet to serve as a source. GEO adds a layer on top of that foundation, recommendation and third-party sources.
Do I need an llms.txt file to appear in Google's answers?
No. Google states that its search, AI features included, does not use these files. You can publish one for other services, with neither a positive nor a negative effect on Google.
Why do my GEO results change from one measurement to the next?
Because a generated answer is not a fixed ranking: the same question can produce different answers. Reason over several runs and a stable set of questions, never over a single snapshot.
Can I isolate traffic from AI Overviews in Search Console?
Not in the Performance report: Google counts those clicks and impressions in the “Web” search type, together with the rest of search. For a dedicated view, Google points to Search Console's Generative AI performance report.

See where your site stands

See where your site stands on Google and in AI answers: run the free analysis.

Start the free analysis

Sources

  1. Google Search Central — Optimizing your website for generative AI features
  2. Google Search Central — AI features and your website
  3. Google Search Central — Creating helpful, reliable, people-first content
  4. Google Search Central — SEO Starter Guide

Share