GEO vs SEO: what generative engine optimization is and how it differs

Generative engine optimization (GEO) means shaping your content and brand signals so AI answer engines such as ChatGPT, Google AI Overviews and AI Mode, Gemini and Perplexity cite and recommend you. SEO aims to rank your pages in search results; GEO aims to be quoted inside AI answers. GEO builds on SEO. It does not replace it.

The term is new and the hype is loud, so this guide sticks to primary sources: the research paper that coined GEO, what Google itself says, and independent data on how AI answers change clicks. It ends with a 10-step checklist and a simple way to measure progress. Updated October 2026.

What is generative engine optimization?

Generative engine optimization is the practice of making content more likely to be used, cited and recommended by systems that generate answers rather than lists of links.

The name comes from a research paper, "GEO: Generative Engine Optimization" by Aggarwal et al., published at KDD 2024. The authors built a benchmark of queries, tested ways of rewriting web content, and measured how visible each source became in AI-generated answers. Their headline result: "Through rigorous evaluation, we demonstrate that GEO can boost visibility by up to 40% in generative engine responses." In the full paper, the best-performing methods were citing sources, adding quotations and adding statistics, and the authors note that what works varies by domain.

Two things are worth noting. First, this was a research setting, not a guarantee about any live product. Second, the winning tactics are what good editors already do: support claims with evidence and make answers easy to quote. TechTarget describes GEO as "still in its infancy", and that is the right frame: a young discipline built on old foundations.

GEO vs SEO vs AEO: what's the difference?

Answer engine optimization (AEO) is a close cousin. It grew up around featured snippets and voice assistants, and focuses on giving direct answers to specific questions. GEO is the broader term for generative AI systems. In practice, the three overlap heavily.

The practical takeaway: one well-built page can serve all three. A fast, crawlable page with an answer-first opening, real numbers with sources, clean headings, schema markup and a strong brand reputation is good SEO, good AEO and good GEO.

What does Google say about optimizing for AI Overviews?

Google is unusually direct on this. Its Search Central page on AI features says: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary" (Google Search Central). The same page explains that pages must be indexed and eligible to appear in Search with a snippet.

In other words, for Google's own AI features, GEO is SEO done well. Anyone selling a secret "AI Overview hack" is selling something Google says does not exist.

Other engines work differently. ChatGPT search, for example, relies on OpenAI's own crawler, and Perplexity and Claude run their own. That is where the extra GEO work lives: making sure those systems can reach your content and find consistent facts about you across the web.

What does the research say about AI answers and clicks?

AI answers are changing what a top ranking is worth.

• AI Overviews appear on more queries. Semrush's study of more than 10 million keywords found AI Overviews triggered on 13.14% of queries in March 2025, up from 6.49% in January 2025. That is early-2025 data; the share has kept moving since.
• Users click less when an AI summary appears. Pew Research Center found that users who saw an AI summary clicked a traditional search result on 8% of visits, against 15% when no summary appeared.
• Position one loses clicks. Ahrefs reports that "As of December 2025, AI Overviews reduce the organic click-through rate for position one content by 58%".

The conclusion is not that search is dying. It is that being the source the AI quotes now matters alongside being the link people click.

Does GEO replace SEO?

No. Search engines are still where most discovery starts, and AI systems lean on search indexes to ground their answers. StatCounter puts Google's share of search at 85.19% in the US and 91.39% in the UK in September 2026.

Think of GEO as an extra layer on top of SEO:

1. SEO makes you findable. Crawlable, indexed, fast pages that rank.
2. GEO makes you quotable. Clear answers, sourced facts and consistent entity data that AI systems can lift into an answer.
3. Brand makes you recommendable. Reviews, press, directory listings and community mentions that tell an AI your business is a credible answer.

Cutting SEO budget to fund GEO is a mistake. Extending SEO work so it also targets citations is the smart move. Our SEO services are built this way.

A 10-step GEO checklist

1. Serve server-rendered HTML. Not every AI crawler renders JavaScript the way Googlebot does. If your key content only appears after client-side rendering, some engines may never see it.
2. Allow AI crawlers in robots.txt. Check you are not blocking GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot or Google-Extended by accident. OpenAI says OAI-SearchBot "is used to surface websites in search results in ChatGPT's search features", so blocking it keeps you out of ChatGPT search.
3. Publish an llms.txt file. A plain-text summary at the root of your site that points AI systems to your most important pages. It is a proposed convention, not a ranking factor, but it is cheap to add. Elgrith publishes one at elgrith.com/llms.txt, and our robots.txt explicitly welcomes the major AI crawlers.
4. Lead with the answer. Put a 40–60 word direct answer under each question-style heading, then expand.
5. Use statistics with sources. Name the source and date, and link to it. This is exactly what the GEO paper found helps.
6. Mark up your entity. Add Organization schema with sameAs links to your official profiles, plus Article, Product, Service and FAQ markup where it fits.
7. Answer real questions in FAQs. Use the questions customers actually ask, in their words.
8. Earn third-party mentions. AI systems weigh what others say about you: listicles, directories, reviews, Reddit threads and LinkedIn posts.
9. Keep content fresh and dated. Show an "Updated" date and refresh figures when they change.
10. Track prompts, not just keywords. Measure how often you are mentioned and cited for the questions that matter (see below).

For a step-by-step version aimed at local businesses, read our guide on how to get recommended by ChatGPT and Google AI.

How does GEO differ by type of business?

The checklist above applies to everyone, but the emphasis changes.

• Local businesses. AI answers to "best plumber near me" style prompts lean heavily on reviews, Google Business Profile data and local directories. Consistent name, address and phone details, and reviews that mention your services and area, do most of the work.
• B2B and professional services. Buyers ask comparison and "how much does it cost" questions. Pages with clear pricing ranges, methodologies and named sources, plus mentions in industry listicles and LinkedIn discussions, tend to be quoted.
• Ecommerce. Product data matters most: accurate structured data, clear specifications, honest comparisons and reviews. Buying guides that answer "which is best for…" questions give AI systems something to cite.
• SaaS and software. Documentation, integration pages and comparison pages get quoted, and community discussion on Reddit and developer forums shapes how assistants describe your product.

What are the most common GEO mistakes?

Most GEO problems we see are not exotic. They are basic SEO problems that hurt more when AI systems do the reading.

• Hiding the answer. A 300-word intro before the actual answer. AI systems, like busy readers, quote the passage that answers the question directly.
• Claims without sources. "Industry-leading" and "trusted by thousands" give an AI nothing to cite. A named statistic with a date and a link does.
• Inconsistent facts. Different founding years, service lists or addresses across your site, Google Business Profile, LinkedIn and directories make your entity harder to trust.
• Blocking crawlers by accident. A security plugin or CDN rule that blocks unfamiliar bots can quietly shut out AI search crawlers.
• Content behind scripts or tabs. Pricing, FAQs and specifications loaded only by JavaScript or hidden in interactive widgets may never be seen.
• Chasing prompts with thin pages. Mass-producing near-identical pages for every possible AI question rarely works and can damage trust in the whole site.
• Measuring nothing. Without a fixed prompt set, you cannot tell whether anything changed.

Should you block AI crawlers?

Usually not, if you want to be cited. Each crawler does a different job, so decide one by one:

A publisher protecting paid content may block training crawlers while allowing search crawlers. A business that wants leads usually allows them all.

How do you measure GEO?

GEO measurement is still immature, so keep it simple and consistent.

1. Build a prompt set. 30–100 questions your buyers ask, such as "best Shopify agency in London" or "how much does managed IT cost per user".
2. Choose engines. ChatGPT, Google AI Overviews and AI Mode, Gemini and Perplexity at a minimum.
3. Run prompts on a schedule. Monthly is enough for most businesses. Answers vary from run to run, so look at trends, not single results.
4. Separate mentions from citations. A mention names your brand; a citation links to your page. Both count, but citations send traffic.
5. Track share of voice. Out of all brands named for your prompt set, what share is yours, and how does it move?
6. Connect to outcomes. Watch referral traffic from AI tools in analytics and ask new leads how they found you.

If you want a baseline before you start, our free SEO audit includes a check of your AI search visibility.

Our AI SEO service runs this tracking alongside classic rankings, so you can see both in one report.

Work with an SEO team that covers AI search

Elgrith has delivered 1,000+ projects for 250+ clients since 2015, with engineering in New Delhi and client centers in New York, London and Shanghai. Our flagship build, Kenerate AI, designed and engineered by Elgrith, works inside Claude, ChatGPT, Cursor and 19+ AI apps through MCP and CLI, so we build for AI systems as well as for search. Start with a free SEO and AI visibility audit, explore AI SEO, or meet our SEO agency in London and SEO team in New York.