Comparison · Generative engine optimization (GEO)
GEO vs SEO: what is the difference?
GEO vs SEO: goals, where results appear, what is measured, and what drives inclusion. AI answers draw on search indexes, so the two overlap heavily.
By Paul Maxwell, founder of AEO HQ
Published · Updated
Generative engine optimization (GEO) aims to get content retrieved, cited, and used in answers written by AI systems. Search engine optimization (SEO) aims to get pages ranked and clicked in search results. The two overlap heavily, because AI answer systems retrieve their sources from search indexes. For example, Google's AI features can only show pages that are indexed and eligible to appear with a snippet (opens in a new tab). GEO adds outcomes to measure. It does not replace SEO.
This page defines both terms, compares them side by side, shows where each major AI system gets its sources, and lists common mistakes. It is part of the full guide to the practice.
Definitions
- Search engine optimization (SEO). Bing's guidelines describe SEO as work that "improves the technical quality, clarity, and accessibility of websites, helping Bing discover, understand, and evaluate content" (opens in a new tab).
- Generative engine optimization (GEO). The paper that introduced the term described it as a way "to aid content creators in improving their content visibility in generative engine responses" (opens in a new tab). The paper was published at the KDD 2024 conference (opens in a new tab) (peer-reviewed).
- Retrieval. The step in which an AI system picks pages from a search index to use as sources for an answer.
- Grounding. Basing an answer on retrieved pages. Bing uses the word when it says GEO "focuses on content eligibility for grounding and reference in AI responses" (opens in a new tab).
- Query fan-out. Google's term for "a set of concurrent, related queries generated by the model" (opens in a new tab) to gather more results for one question.
Comparison table
Why they overlap: retrieval for AI answers runs on search indexes
AI answer systems do not read the whole web for each question. They query a search index, either their own or a partner's, and write the answer from the pages it returns. The documentation for each major system says where its sources come from:
This is why SEO basics, such as crawl access, indexing, and snippet eligibility, are GEO prerequisites. Google says its AI features are "rooted in our core Search ranking and quality systems" (opens in a new tab), and that "optimizing for generative AI search is optimizing for the search experience, and thus still SEO" (opens in a new tab). Bing says "Bing and Copilot search experiences rely on the same core crawling, indexing, and ranking foundation as traditional search" (opens in a new tab).
Where they differ: overlap is not identity
Sharing an index does not mean AI answers cite the pages that rank first for the words a user typed. AI systems split a question into several searches. OpenAI says ChatGPT search "typically rewrites your query into one or more targeted queries" (opens in a new tab) when it uses search partners, and Google says AI Overviews and AI Mode may issue "multiple related searches across subtopics and data sources" (opens in a new tab). As a result, AI answers often cite pages that rank for a related sub-question:
- In a vendor study, about 38% of pages cited in AI Overviews ranked in Google's top 10 in March 2026 (opens in a new tab), against about 76% in a July 2025 study by the same company (opens in a new tab). The method changed between the two studies, so the size of the drop is uncertain.
- A peer-reviewed audit of December 2025 data found that, on average, only 18% of the sources returned by either AI Overviews or the organic results were returned by both (opens in a new tab).
Rank still helps. A 2025 benchmark found that traditional SEO strategies, which aim to raise a source's position in the list of sources given to the language model, were "significantly more effective" (opens in a new tab) than rewriting the page's content. In controlled trials, being on-topic and being listed first each raised the odds of being cited first more than 100-fold, and stating a price also raised them in all six models tested (opens in a new tab) (peer-reviewed; lab only; the authors work for a marketing software company).
When to use each
In practice, most sites need both. The question is which gap to close first. The following are recommendations based on the evidence above.
- Start with SEO if pages are not indexed or not eligible for a snippet. A system cannot cite a page it cannot retrieve. For ChatGPT, OpenAI says sites that opt out of OAI-SearchBot "will not be shown in ChatGPT search answers, though can still appear as navigational links" (opens in a new tab).
- Add GEO work when pages are indexed but AI answers do not use them. Check that each page answers its question early, in the buyer's own words, and states prices, scope, and dates as plain text. Topic match, position, and a stated price were among the strongest drivers of citation in controlled trials (opens in a new tab) (lab only).
- Measure both outcomes. SEO metrics capture clicks, and clicks fall when AI answers appear: Google users clicked a traditional search result on 8% of visits when an AI summary appeared, compared with 15% when none appeared (opens in a new tab). Track AI visibility with repeated prompts, because when the same prompt was repeated, ChatGPT and Google's AI returned the same list of brands less than once in 100 runs, and Claude only slightly more often (2,961 runs, November–December 2025) (opens in a new tab) (vendor study; conflict of interest noted).
- Run them as one program. AEO HQ's view is that GEO is SEO+: SEO plus corroboration from other sites, specific facts, and measurement.
The same comparison for answer engine optimization, a closely related label, is in the AEO vs SEO comparison.
Is GEO replacing SEO?
The evidence does not support that. AI answer systems depend on search indexes, and Google calls optimizing for them "still SEO" (opens in a new tab). What is changing is where people read answers and how often they click. In a February 2026 survey of 5,119 U.S. adults, 49% said they use AI chatbots, and 86% of those users use them to search for information (opens in a new tab). In Pew's browsing data, visits with an AI summary led to fewer clicks on traditional results (opens in a new tab) (8% against 15%, cited above).
Common mistakes
- Dropping SEO to do GEO. AI answers depend on indexing, as the retrieval table above shows. Bing states that its Copilot experiences rely on the same crawling, indexing, and ranking foundation as traditional search (opens in a new tab).
- Rewriting every page for AI. A 2025 benchmark found statistically significant gains for conversational-SEO methods in 3 of 54 cases, and adding statistics lowered rank in 19 of 24 (opens in a new tab). In a 2026 KDD study, rewriting page text to optimize it for generative engines hurt retrieval (opens in a new tab).
- Promising the "40%" result. In the original GEO experiments, adding quotations raised a source's share of the generated answer by about 41% and adding statistics by about 31%, in a simulated engine where the page was already retrieved (opens in a new tab). A 2026 review of 45 studies calls those gains conditional on a source already being present in a fixed context (opens in a new tab) (preprint).
- Measuring GEO like rankings. Single runs mislead. In the peer-reviewed audit above, AI Overview sources for identical repeated queries had a Jaccard similarity of 0.66, against 0.78 for organic results (opens in a new tab). Jaccard similarity runs from 0 (no shared sources) to 1 (identical sources).
- Publishing a page for every variation of a query. Google says creating "separate content for every possible variation of how people might search" (opens in a new tab), including fan-out queries, "primarily to manipulate rankings or generative AI responses in Google Search violates Google's scaled content abuse spam policy" (opens in a new tab).
- Hiding instructions for AI in pages. Google's spam policies cover attempts to manipulate generative AI responses (opens in a new tab). Bing says such attempts "may result in reduced visibility or removal from search experiences" (opens in a new tab).
- Paying for a guarantee. Bing states that "SEO does not guarantee rankings or traffic, and GEO does not guarantee grounding or citations in AI experiences" (opens in a new tab). Google says third-party tools "can't guarantee performance" (opens in a new tab).
Next steps
AEO HQ sells this work at fixed, published prices, from a $499 automated audit to $8,995 for an audit, a plan, and technical implementation. The services page lists what each package includes.
Sources
- Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2023). GEO: Generative engine optimization (arXiv:2311.09735) [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2311.09735 (opens in a new tab)
- Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2024). GEO: Generative engine optimization. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5–16). ACM. https://doi.org/10.1145/3637528.3671900 (opens in a new tab)
- Anthropic. (n.d.). Subprocessors. Anthropic Trust Center. Retrieved September 27, 2026, from https://trust.anthropic.com/subprocessors (opens in a new tab)
- Anthropic. (2026, April 7). Does Anthropic crawl data from the web, and how can site owners block the crawler? Claude Help Center. https://support.claude.com/en/articles/8896518-does-anthropic-crawl-data-from-the-web-and-how-can-site-owners-block-the-crawler (opens in a new tab)
- Chapekis, A., & Lieb, A. (2025, July 22). Google users are less likely to click on links when an AI summary appears in the results. Pew Research Center. https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/ (opens in a new tab)
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How to cite this page
Maxwell, P. (2026). GEO vs SEO: what is the difference? AEO HQ. Last updated September 27, 2026. https://www.aeohq.ai/articles/geo-vs-seo
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