AI Search Strategy

What Is GEO (Generative Engine Optimization)? The 2026 Guide

GEO is the work of getting your pages used and cited in AI answers. What the research measured, what Google says to skip, and what holds up in 2026.

An AI search query linked to numbered source documents, showing how generative engines cite sources
Core takeawayThe best-documented GEO levers are ordinary ones: pages crawlers can reach, original evidence, and claims that are easy to quote and check. Treat anything more specific as a test, not a rule.

What Is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of making your content more likely to be retrieved, used and cited when an AI system writes an answer: ChatGPT search, Perplexity, Google's AI Overviews and AI Mode, and similar tools.

The term comes from GEO: Generative Engine Optimization, a paper by Aggarwal et al. with authors from Princeton University, IIT Delhi and two independent researchers, published at KDD 2024. It describes search engines that use large language models to gather and summarize information from several sources, and proposes GEO as a way for content creators to improve how visible their content is in those generated responses.

SEO competes for ranked positions and clicks. GEO competes for a place inside the answer, where the reader may never click. When we launched Vanaxity, we described SEO, GEO and AEO as three connected layers of one content job, and that is still how we approach it.

Short definition

GEO: improving how often, how prominently and how accurately a source is used and cited in AI-generated answers. It builds on SEO rather than replacing it.

Why GEO Matters Now

Fewer searches end in a click than a few years ago, and queries that show an AI Overview send fewer organic clicks still. Three data points show the shift, and how much is still uncertain:

0.61%Organic click-through rate in September 2025 on informational queries that show an AI Overview, down from 1.76% in June 2024 (Seer Interactive, 3,119 queries)
35%More organic clicks for brands when an AI Overview cited them than when it did not (Seer Interactive, Q3 2025)
Up to 40%Visibility gain from GEO methods in the benchmark of the GEO paper (Aggarwal et al., KDD 2024)

The numbers come from different samples and methods. Seer Interactive's study covered 3,119 informational queries across 42 client organizations; on queries with an AI Overview, organic click-through rate fell from 1.76% to 0.61%. The gap between cited and uncited brands is a correlation in that data, not proof that the citation caused the clicks. The GEO paper's figure comes from a research benchmark, explained in the next section.

The practical point: when an answer engine summarizes a category, it shapes which brands a buyer considers before any click. Ranking well does not guarantee a citation, as the data below shows, so citations are worth working on directly.

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How Generative Engines Choose Sources

No engine publishes its full pipeline, but the documented parts follow one pattern: run one or more searches, retrieve candidate pages, then have a language model write the answer and link some of the pages it used. Here is what the engines and the best available data say:

Through rigorous evaluation, we demonstrate that GEO can boost visibility by up to 40% in generative engine responses.

Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024)

That figure needs context. The paper built GEO-bench, a set of 10,000 queries across domains, and tested edits to source pages. Its main test engine retrieved the top five Google results and used gpt-3.5-turbo to write answers; the authors also checked Perplexity.ai on 200 queries. Adding citations, quotations and statistics "achieved a relative improvement of 30-40% on the Position-Adjusted Word Count metric", while keyword stuffing offered "little to no improvement". The authors also found that "the efficacy of these strategies varies across domains". Today's engines are newer than the ones tested, so read the result as a direction, not a forecast.

GEO Tactics That Hold Up in 2026

1. Publish evidence nobody else has

Original data, benchmarks, field results and named expert views give an answer engine a reason to cite you rather than a summary of you. Google asks the same of every page in its helpful content guidance: "Does the content provide original information, reporting, research, or analysis?" Its guide to generative AI features is blunter: "Don't just recycle what others on the internet have already said."

2. Make every claim easy to quote and check

State the answer first, attach each number to its source and date, and keep a claim and its evidence in the same passage so an excerpt cannot drift from its meaning. These are the edits that did best in the GEO paper: citations, quotations and statistics. You do not need to cut pages into fragments; Google says "There's no requirement to break your content into tiny pieces for AI to better understand it." For answer formatting, see our Answer Engine Optimization guide, and for citation work in depth, Citation Optimization.

3. Keep entity facts consistent

Use the same company name, product names, prices and claims on your site, profiles and listings; conflicting facts leave an answer engine several versions to choose from. Structured data can help machines read a page, but Google says "Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add." Where you do use it, it has to match the visible text.

4. Let the right crawlers in

Check robots.txt and rendering before writing anything new. Google's AI features need a page that Googlebot can index and that is eligible for a snippet; ChatGPT search answers need OAI-SearchBot. Google's preview controls (nosnippet, data-nosnippet, max-snippet and noindex) limit what it can show from a page, so apply them on purpose. Technical SEO Debt Is Now an AI Search Visibility Problem walks through the audit.

5. Skip the hacks

Google's guide includes a section on what you don't need to do: "You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search." On llms.txt files it says: "Doing so will neither harm nor help your site's visibility or rankings in Google Search." These statements cover Google. Other engines document less, so test before you invest.

A note on our position: Vanaxity sells AI search content services, so we have a stake in this topic. Vanaxity researches buyer questions and produces source-backed content packages that a person reviews before they ship through your CMS. Engagements start with a free 30-minute fit check and are scoped per project. No one can guarantee AI citations, and we don't.

Key Facts About GEO

Key facts
  • GEO aims at being used and cited inside AI-generated answers; SEO aims at ranked results and clicks.
  • In the GEO paper's benchmark, adding citations, quotations and statistics improved a source's visibility by 30-40%, while keyword stuffing did little or nothing.
  • Google says its AI features rest on its core ranking and quality systems and need no special markup, AI text file or llms.txt.
  • A page must be indexed and snippet-eligible to be a supporting link in AI Overviews or AI Mode, and ChatGPT search does not show sites that block OAI-SearchBot.
  • Citation sources differ by engine: in Ahrefs' data, 12% of links cited by ChatGPT, Gemini and Copilot were in Google's top 10 for the same prompt, against 37.9% of AI Overview citations.

Frequently Asked Questions About GEO

What is the difference between SEO and GEO?

SEO works to rank pages in search results and earn clicks. GEO works to get your content used and cited when an AI system writes an answer. They share most of their foundations: Google says optimizing for its generative AI features is still SEO.

Can technical SEO alone get my brand cited in ChatGPT or Perplexity?

No. Crawlable, indexable pages are a precondition, not a guarantee. Ranking doesn't decide it either: in Ahrefs' study of 15,000 prompts, only 12% of the links ChatGPT, Gemini and Copilot cited were in Google's top 10 for the same prompt.

Does structured data help with GEO?

It can help machines read a page, but it is not a GEO lever on its own. Google says structured data isn't required for generative AI search and that no special schema.org markup is needed. Markup must match the visible text, and FAQ rich results stopped appearing in Google Search on May 7, 2026.

Do I need an llms.txt file for AI search?

Not for Google. Google says publishing one will neither harm nor help your visibility or rankings in Google Search. If you publish one anyway, treat it as an extra, never as a substitute for crawlable pages.

How do you measure GEO results?

Run a fixed set of buyer questions in ChatGPT, Perplexity and Google each month and log whether you are mentioned, cited and described correctly. Add AI referral visits from analytics, and Search Console's Generative AI performance report for Google. Answers vary between runs, so read the trend, not a single result.

Tran Tien VanFounder, Van Data Team - builds Vanaxity, the AI content agent for SEO, GEO and AEO, and leads data engineering delivery for B2B teams.Connect on LinkedIn