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GEO, AEO and AIO are three names for the same job: getting your business found, understood and cited in AI-generated answers. GEO is generative engine optimization, AEO is answer engine optimization, and AIO means either Google's AI Overviews or AI optimization in general. Google names AEO and GEO in its own documentation and calls optimizing for generative AI search "still SEO" [1]. Here is where each term came from, how they differ from SEO, and what to do first.
The short answer
Direct answer
AEO vs GEO is mostly a naming debate. AEO, answer engine optimization, aims to get your brand into AI-generated answers; GEO, generative engine optimization, aims to get your content into responses from AI-powered search systems. AIO can mean Google's AI Overviews or AI optimization in general. Google says optimizing for generative AI search is still SEO, so the foundations are the same.
| Term | Stands for | Who defines it | What it usually means |
|---|---|---|---|
| GEO | Generative engine optimization | A research paper first submitted in 2023 and published at KDD 2024 [2] | Getting your content into answers from AI-powered search [3] |
| AEO | Answer engine optimization | Industry usage; Semrush calls it a set of marketing practices [4] | Raising your brand's visibility in AI-generated answers |
| AIO | AI Overviews, or AI optimization | Google's product name, and loose industry usage [5] | Showing up in Google's AI Overviews, or AI optimization in general |
| LLMO | Large language model (LLM) optimization | Industry usage [6] | Improving how AI models portray your brand |
What is GEO? Generative engine optimization, and where the term came from
Direct answer
GEO comes from a research paper by Aggarwal and colleagues, first submitted in November 2023 and published at KDD 2024, which proposed Generative Engine Optimization as a framework for website owners. On a 10,000-query benchmark, the authors found that citing sources, adding quotations and adding statistics raised a page's visibility in the test engine's answers by 30-40% on one metric.
The paper's opening claim: "We propose Generative Engine Optimization, the first general optimization framework for website owners to optimize their websites for generative engines." [2]
How the test worked. The researchers built a benchmark of 10,000 queries, fetched only the top five Google results for each query, and had GPT-3.5 write the answers [2]. They then rewrote the source pages nine different ways and measured visibility with two metrics, Position-Adjusted Word Count and Subjective Impression [2].
What they found:
- The three best tactics, Cite Sources, Quotation Addition and Statistics Addition, "achieved a relative improvement of 30-40% on the Position-Adjusted Word Count metric and 15-30% on the Subjective Impression metric." [2]
- Lower-ranked pages gained the most: Cite Sources raised visibility 115.1% for pages ranked fifth, while the top-ranked page's visibility fell 30.3% on average [2].
- In a live test on Perplexity, Quotation Addition improved visibility 22%, and keyword stuffing did 10% worse than the unchanged pages [2].
Read it as evidence, not a promise. It was a lab engine built on GPT-3.5, and the authors say: "owing to the black-box nature of search engine algorithms, we didn't evaluate how GEO methods affect search rankings." [2] Anyone quoting "GEO boosts visibility 40%" as a client outcome is overstating a lab result.
What is AEO? Answer engine optimization
Direct answer
AEO, answer engine optimization, is the practice of getting your brand named and used in AI-generated answers; Semrush defines it as a set of marketing practices for increasing that visibility. The advice overlaps heavily with SEO. Google's own hiring advice now asks whether any AEO or GEO advice is aligned with its official guidance on generative AI features.
Google's question to owners, in full: "If they have advice on optimizing for AI experiences (also known as "AEO" "GEO" services), is their advice aligned with Google Search's official guidance on optimizing for generative AI features?" [7]
Where AEO advice differs, it is mostly about structure, and the platforms disagree. Microsoft says AI assistants break content into smaller pieces and, with question-and-answer pairs, "can often lift these pairs word for word" [5]. Google says: "There's no requirement to break your content into tiny pieces for AI to better understand it." [1] A page that answers each common question in plain, complete sentences satisfies both.
AEO is also about more than your own site. In Ahrefs' study of 75K brands, brand mentions across the web correlated with AI Overview visibility at 0.664, against 0.218 for backlinks [8]. That is a correlation, not proof of cause, but it explains why reviews, press and directory listings keep coming up in AEO advice.
AIO: AI Overviews and "AI optimization"
Direct answer
AIO has two meanings. One is shorthand for Google's AI Overviews, the AI-written summaries Google launched to everyone in the US on May 14, 2024. Some marketers use AIO to mean AI optimization in general. When a vendor says "AIO," ask which one they mean, because only one of them is a Google product.
AI Overviews grew fast: by May 2025 they were available in more than 200 countries and territories and more than 40 languages, and by July 2025 Alphabet reported more than 2 billion monthly users [9][10]. Google's AI Mode is a separate experience that reached all US users on May 20, 2025 [11], and the two cite different pages more often than not: Ahrefs found only 13.7% of citations overlapped between them [12]. Our guide on how to rank in AI Overviews covers how Google picks those pages.
The looser meaning shows up even in Microsoft's guidance: "Whether you call it GEO, AIO, or SEO, one thing hasn't changed" [5].
How they differ from SEO, and where they overlap
Direct answer
GEO, AEO and AIO share SEO's foundations, because Google says its AI features are rooted in its core ranking and quality systems and retrieve pages from its search index. What differs is the output and the measurement: an AI answer cites or names sources instead of listing ten links, answers can change between runs, and each engine has its own crawler.
Google states the overlap directly: "The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems." [1] Microsoft says the same for Copilot: "Crawlability, metadata, internal linking, and backlinks remain essential" [5].
| Classic SEO | GEO and AEO | |
|---|---|---|
| What you get | A ranked list of links | An AI-written answer that cites or names sources |
| What counts as winning | A position on the page | Being cited, linked or named |
| Stability | Google says positions aren't fixed in place [13] | The same search can cite different pages between runs [14] |
| Who crawls you | Googlebot, Bingbot | The same, plus OAI-SearchBot, PerplexityBot and others [15][16] |
| Foundation | Crawlable, relevant, trusted pages | The same, per Google and Microsoft |
How much AI Overview citations overlap with organic rankings is disputed. Estimates of AI Overview citations that also rank in the organic top ten run from 16.7% (BrightEdge, 2025) to 76% (Ahrefs, 2025) [17][18]. Every study finds overlap; none agrees on how much.
What Google says you need and don't need
Direct answer
Google says there are no additional requirements and no special optimizations for AI Overviews or AI Mode. You don't need AI text files, new markup or special schema, Google Search ignores llms.txt, and there's no need to break content into tiny pieces. A page must be indexed and eligible to show a snippet to be used as a supporting link.
In Google's words:
- "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." [19]
- "You don't need to create new machine readable files, AI text files, or markup to appear in these features." [19]
- On llms.txt and similar files: "Doing so will neither harm nor help your site's visibility or rankings in Google Search, as Google Search ignores them." [1]
- On tools: "No third-party tool has access to our internal ranking or AI systems." [1]
Where to start
Direct answer
Start where GEO and SEO overlap. Make sure the crawlers can reach you, answer your customers' real questions on your own pages with sources and specifics, keep your Google Business Profile and other listings accurate, and earn genuine mentions and reviews. Then measure with Search Console, Bing Webmaster Tools and referral data, not with a vendor's promises.
Checklist: where to start with AI search
The full playbook is in our AI search optimization guide, with platform detail in ChatGPT SEO. The groundwork lives in organic SEO and local SEO.
Frequently asked questions
Is GEO the same as SEO?
For Google, largely yes. Google's generative AI guide says that from Google Search's perspective, optimizing for generative AI search is still SEO, and that its AI features are rooted in its core ranking systems [1]. GEO adds a focus on being cited inside AI answers, across other engines as well, and it measures success by citations and mentions rather than positions.
What does AEO stand for?
AEO stands for answer engine optimization. Google's own guide spells the acronym out that way [1], and Semrush defines it as marketing practices that increase a brand's visibility in AI-generated answers [4]. An answer engine here means an AI tool that responds with a written answer instead of a list of links, such as ChatGPT, Perplexity or Google's AI features.
What is AIO in SEO?
AIO can refer to Google's AI Overviews, which Google launched to everyone in the US on May 14, 2024 [20]. It is also used loosely for AI optimization in general, and Microsoft's guidance lists it alongside GEO and SEO [5]. Ask which meaning someone intends. For AI Overviews, Google says no special files or markup are needed [19].
Do I need a separate AEO strategy?
Not a separate one. Google says there are no additional requirements or special optimizations for its AI features [19], and Microsoft says the SEO basics remain essential for AI answers [5]. What you need is SEO that is aware of AI answers: clear answers on your pages, accurate listings, genuine reviews and mentions, and measurement that tracks citations as well as positions.
Does Google recommend GEO services?
Google lists optimizing for generative AI among the services an SEO can offer, and tells owners to ask whether a provider's "AEO" or "GEO" advice is aligned with its official guidance [7]. That guidance says there are no additional requirements, special files or schema needed to appear in AI Overviews or AI Mode [19]. Judge any GEO offer against it.
Is an llms.txt file required for AI search?
No. Google says Google Search ignores llms.txt and similar files, so they "neither harm nor help" your visibility [1]. The file was proposed by Jeremy Howard in September 2024 [21], Chrome's Lighthouse treats it as optional [22], and our research found no major AI engine committed to using it. Publishing one is harmless; don't expect it to get you cited.
Get the foundations right first
Whatever a vendor calls it, the work that gets a business into AI answers is the same work that gets it onto page one: pages worth citing, accurate profiles and a reputation other sites repeat. Our first page guarantee counts three places, your Google Business Profile in the map results, page one of the organic results, and AI suggestions and answers, and measures the share separately in each of the three places under the written guarantee terms. Start with a free SEO audit, read how the first page guarantee works, or learn more about James Compton.
Sources
- Google Search Central, "Optimizing your website for generative AI features on Google Search", last updated 2026-07-10 developers.google.com/search/docs/fundamentals/ai-optimization-guide
- Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande, "GEO: Generative Engine Optimization" (KDD 2024), v3 2024-06-28 (first submitted 2023-11-16) arxiv.org/html/2311.09735v3
- Semrush (Alex Lindley), "Generative Engine Optimization (GEO): A Practical Guide", 2026-04-16 www.semrush.com/blog/generative-engine-optimization/
- Semrush (Zach Paruch), "What Is Answer Engine Optimization? And How to Do It", 2026-04-16 www.semrush.com/blog/answer-engine-optimization/
- Microsoft Advertising (Krishna Madhavan), "Optimizing Your Content for Inclusion in AI Search Answers", 2025-10-08 about.ads.microsoft.com/en/blog/post/october-2025/optimizing-your-content-for-inclusion-in-ai-search-answers
- Semrush (Zach Paruch), "LLM Optimization (LLMO): Get AI to Talk About Your Brand", 2026-01-05 www.semrush.com/blog/llm-optimization/
- Google Search Central, "Do you need an SEO?", updated 2026-06-05 developers.google.com/search/docs/fundamentals/do-i-need-seo
- Ahrefs (Louise Linehan), "An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied)", 2025-05-26 ahrefs.com/blog/ai-overview-brand-correlation/
- Google (Hema Budaraju), "AI Overviews are now available in over 200 countries and territories, and more than 40 languages", 2025-05-20 blog.google/products-and-platforms/products/search/ai-overview-expansion-may-2025-update/
- Alphabet (Sundar Pichai), "Q2 earnings call: CEO's remarks", 2025-07-23 blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q2-2025/
- Google (Elizabeth Reid), "AI in Search: Going beyond information to intelligence", 2025-05-20 blog.google/products-and-platforms/products/search/google-search-ai-mode-update/
- Ahrefs (Despina Gavoyannis), "Are AI Mode and AI Overviews Just Different Versions of the Same Answer? (730K Responses Studied)", 2025-12-15 ahrefs.com/blog/ai-overviews-vs-ai-mode/
- Google Search Central, "Google Search's core updates and your website", updated 2025-12-10 developers.google.com/search/docs/appearance/core-updates
- SE Ranking, "AI Mode Research: Sources, Volatility, & Differences between AIO and Organic Search", 2025-08-29 seranking.com/blog/ai-mode-research/
- OpenAI, "Overview of OpenAI Crawlers", undated developers.openai.com/api/docs/bots
- Perplexity, "Perplexity Crawlers", undated docs.perplexity.ai/docs/resources/perplexity-crawlers
- BrightEdge, "AI Overview Citations Now 54% from Organic Rankings", 2025-09-18 www.brightedge.com/resources/weekly-ai-search-insights/rank-overlap-after-16-months-of-aio
- Ahrefs (Louise Linehan), "76% of AI Overview Citations Pull From the Top 10", 2025-07-21 ahrefs.com/blog/search-rankings-ai-citations/
- Google Search Central, "AI features and your website", updated 2025-12-10 developers.google.com/search/docs/appearance/ai-features
- Google (Elizabeth Reid), "Generative AI in Search: Let Google do the searching for you", 2024-05-14 blog.google/products-and-platforms/products/search/generative-ai-google-search-may-2024/
- Jeremy Howard, "The /llms.txt file, v2", 2024-09-03 (modified 2026-08-10) llmstxt.org/
- Chrome for Developers, "llms.txt | Lighthouse", last updated 2026-05-05 developer.chrome.com/docs/lighthouse/agentic-browsing/llms-txt

