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What is generative engine optimization (GEO)?

Generative engine optimization (GEO) is making your content easy for AI search such as ChatGPT, Perplexity, Copilot and AI Overviews to find, use and cite. The term comes from a 2024 research paper. Google and Bing both say it rests on ordinary SEO, and both penalise attempts to manipulate AI answers.

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Where the term comes from

“Generative engine optimization” was coined in a paper by six researchers at Princeton University, IIT Delhi and elsewhere, first posted in November 2023 and published at KDD 2024, a major data-mining conference. The paper calls ChatGPT-style search tools that write an answer from several sources “generative engines”, and defines GEO as helping content creators increase their visibility in those answers.

You will also see AEO (answer engine optimization), LLMO (large language model optimization), or simply AI SEO and AI search optimization. Google’s guidance mentions AEO and GEO together as names for work on AI search visibility, without defining either; we found no authoritative definition of LLMO. In practice these names are used loosely for the same goal.

What the research measured

The paper tested nine ways of rewriting a web page and measured how much of an AI answer drew on that page:

Change to the page Visibility vs. unchanged
Add quotations from credible sources +41%
Add statistics +31%
Improve fluency +28%
Cite sources +27%
Keyword stuffing −8%

Calculated from Table 1 of the paper (position-adjusted word count); the paper itself reports the best result as a 41% improvement.

Three caveats matter before you quote these numbers:

The durable lesson is that the changes that helped are the ones that make a page more useful and verifiable: real quotations, real figures, named sources, clear writing. Keyword stuffing did not help.

What Google says

What Bing says

Bing’s official Webmaster Guidelines now cover GEO. They define GEO as focusing on “content eligibility for grounding and reference in AI responses”, and say plainly that GEO does not guarantee grounding or citations. The first rule is that SEO fundamentals still apply, because Bing and Copilot rely on the same crawling, indexing and ranking foundation as traditional search.

The same guidelines list prompt injection and AI manipulation as abuse: content designed to manipulate or interfere with the language models behind Bing or Copilot may lose visibility or be removed.

What manipulation looks like

China’s CCTV showed a clear example in its annual consumer-rights programme on 15 March 2026. Reporters invented a smart wristband, used a “GEO” tool to generate promotional articles, and posted them on self-media accounts. About two hours after the first two articles went up, an AI model started describing the fake product, repeating its made-up selling points. After 11 articles over three days, two AI models recommended it near the top when asked for health wristband suggestions.

In April 2026 the Cyberspace Administration of China launched a four-month campaign against AI application abuses that names “using GEO techniques for malicious marketing” as a form of AI data poisoning.

The line is simple: publishing true, useful, sourced content on your own site and making it easy for AI to read is fine. Planting fake reviews, rankings or claims for AI to pick up is manipulation, and Google and Bing both treat it as a violation. Citeloop only does the first kind: real content with sources, published on your own site, never posts on third-party platforms.

Why it matters now

People click less when an AI answer is on the page. In Pew Research Center’s analysis of US users’ Google searches in March 2025, people clicked a traditional result in 8% of visits with an AI summary, versus 15% without one, and clicked a link inside the summary in only 1%.

That makes being cited inside the answer more important than before. Both Bing (since February 2026) and Google (since August 2026, worldwide) now report how often your pages appear in their AI features, so you can measure it instead of guessing.

What GEO work actually involves

In order of what to fix first:

  1. Make sure AI crawlers can get in. Check robots.txt and your CDN for each AI search crawler. See AI crawlers: the list, and how to allow or block them.
  2. Make sure your content is in the HTML. Not every crawler runs JavaScript, so key content should not depend on it.
  3. Get the SEO basics right. Clear titles and descriptions, one h1, canonicals, accurate structured data, a sitemap, and verification in Bing Webmaster Tools and Google Search Console.
  4. Publish content worth citing. Answer real questions directly, add real figures and named sources, and keep claims consistent across pages.
  5. Measure. Check the AI reports in Bing Webmaster Tools and Search Console, and see how to verify that AI crawlers actually reach your site.

Citeloop’s free GEO audit, opening soon, will cover the first three steps.

Sources

  1. Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024, arXiv 2311.09735)
  2. Google Search Central: Optimizing your website for generative AI features on Google Search
  3. Google Search Central: AI features and your website
  4. Google Search Central: Spam policies for Google web search
  5. Google Search Central: Guidance on using third-party SEO tools, services, and advice
  6. Bing Webmaster Guidelines
  7. Bing Webmaster blog: Introducing AI Performance in Bing Webmaster Tools (2026-02-10)
  8. Google Search Central blog: Search generative AI performance reports (2026-06)
  9. Pew Research Center: Google users are less likely to click on links when an AI summary appears (2025-07-22)
  10. China News Service, reprinting CCTV Finance: AI models being 'poisoned' (2026-03-16, Chinese)
  11. Xinhua: Cyberspace Administration of China campaign on AI application abuses (2026-04-30, Chinese)

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