AI optimization, also called generative engine optimization (GEO), is the practice of making web content more likely to be retrieved, cited or summarized by AI-powered search and answer tools such as Google's AI Overviews and AI Mode, ChatGPT search, Microsoft Copilot and Perplexity. The term GEO was introduced in a 2023 research paper that proposed it as a way for content creators to improve their visibility in AI-generated responses.[1] Fortune has described GEO as a young industry of services that help companies' products and sites appear in what AI chatbots and agents recommend.[2]
How much AI optimization differs from conventional search engine optimization is debated. Google says there are no additional requirements or special optimizations needed to appear in its AI features and that standard SEO practices still apply,[3] while research on generative engines has found that some content changes can increase visibility and others have little effect.[4][5]
How AI search works
Most AI search tools combine a search engine with a large language model. A 2020 paper introduced retrieval-augmented generation (RAG), in which a language model is paired with an index of documents that a retriever searches, producing more specific and factual answers than a model working from memory alone.[11] The 2023 GEO paper describes generative engines as systems that retrieve information from multiple sources and summarize it with language models, made up of generative models and a search engine that supplies sources.[4]
Google says its AI Overviews and AI Mode may use "query fan-out," running several related searches across subtopics and data sources, which can surface a wider set of links than classic search.[3]
Research
The 2023 GEO paper tested nine ways of rewriting web content on a benchmark of 10,000 queries and reported visibility improvements of up to 40%; adding quotations, statistics and citations performed best, while keyword stuffing performed worse than unmodified content, and lower-ranked sources gained the most.[1][4] Later studies have been more cautious: a 2025 benchmark found most conversational SEO methods largely ineffective, with traditional SEO that raised a source's rank mattering more,[5] and other researchers showed that hidden instructions in web pages could manipulate AI search rankings.[12][13]
Google's guidance
Google says that to appear as a link in AI Overviews or AI Mode, a page needs only to be indexed and eligible to appear in Search with a snippet, and that sites do not need new machine-readable files, "AI text files" or special markup.[3] Its advice focuses on unique, valuable content, a good page experience, crawlable pages, and structured data that matches visible content.[14]
AI crawlers and controls
AI companies operate their own web crawlers, often with separate agents for model training and for search. Site owners can allow or block them in robots.txt; OpenAI, for example, lets sites allow its search crawler while blocking its training crawler.[15] Google's Google-Extended control governs use of content for training Gemini models but does not affect Google Search.[16]
Effects on websites
A 2025 Pew Research Center study found that Google users clicked a traditional search result in 8% of visits when an AI summary appeared, compared with 15% when none did.[17] Google says total organic clicks have been relatively stable and that clicks from AI results are of higher quality,[18] while several publishers have sued or filed complaints over AI summaries.[19][20]
Measurement
Traffic from Google's AI Overviews and AI Mode is included in Search Console's Performance report under the Web search type.[3] In May 2026 Google Analytics added an "AI Assistant" channel for visits referred by assistants such as ChatGPT, Gemini, Claude and Copilot, while traffic from Google's own AI features remains under Organic Search.[21][22] Bing Webmaster Tools introduced an AI Performance report in February 2026 showing how often a site is cited in Microsoft Copilot and Bing AI summaries.[23]
AI optimization services
Agencies offering AI optimization services in the regions this wiki covers include:
- Magnetize ME: a digital marketing agency in Woodstock, Georgia, founded by Michelle Edwards, which introduced AI search optimization services in August 2026 after what it describes as two years of testing. Its service aims to help small businesses be retrieved, summarized and cited by AI systems through distinctive content, extractable page structure, technical accessibility, structured data and entity signals, building on traditional SEO, and tracks AI referrals and citations.[24]
Magnetize ME is the publisher of this wiki.
References
- ^ ^ ^ ^ Aggarwal, Pranjal; Murahari, Vishvak; Rajpurohit, Tanmay; Kalyan, Ashwin; Narasimhan, Karthik; Deshpande, Ameet (2023). "GEO: Generative Engine Optimization" (arXiv:2311.09735). arXiv (accepted to KDD 2024). arxiv.org
- ^ Kahn, Jeremy (January 13, 2026). "As 'agentic commerce' gains ground, companies shouldn't put too much faith in 'GEO,' one industry insider warns". Fortune. fortune.com
- ^ ^ ^ ^ "AI features and your website". Google Search Central, updated December 10, 2025. developers.google.com
- ^ ^ ^ Aggarwal, Pranjal; et al. (June 28, 2024). "GEO: Generative Engine Optimization (full text)" (v3). arXiv. arxiv.org
- ^ ^ Puerto, Haritz; et al. (2025). "C-SEO Bench: Does Conversational SEO Work?". arXiv (NeurIPS 2025 Datasets and Benchmarks). arxiv.org
- ^ Reid, Elizabeth (May 14, 2024). "Generative AI in Search: Let Google do the searching for you". Google. blog.google
- ^ Stein, Robby (March 5, 2025). "Expanding AI Overviews and introducing AI Mode". Google. blog.google
- ^ Field, Hayden (October 31, 2024). "OpenAI launches ChatGPT search, competing with Google and Microsoft". CNBC (via NBC 5 Dallas-Fort Worth). nbcdfw.com
- ^ Shaw, Frank X. (November 15, 2023). "Microsoft Ignite 2023: AI transformation and the technology driving change". Official Microsoft Blog. blogs.microsoft.com
- ^ Wiggers, Kyle (April 4, 2023). "AI-powered search engine Perplexity AI lands $26M, launches iOS app". TechCrunch. techcrunch.com
- ^ Lewis, Patrick; et al. (2020). "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks". arXiv (NeurIPS 2020). arxiv.org
- ^ Pfrommer, Samuel; Bai, Yatong; Gautam, Tanmay; Sojoudi, Somayeh (2024). "Ranking Manipulation for Conversational Search Engines". arXiv (EMNLP 2024). arxiv.org
- ^ Nestaas, Fredrik; Debenedetti, Edoardo; Tramèr, Florian (2024). "Adversarial Search Engine Optimization for Large Language Models". arXiv (preprint). arxiv.org
- ^ Mueller, John (May 21, 2025). "Top ways to ensure your content performs well in Google's AI experiences on Search". Google Search Central Blog. developers.google.com
- ^ "Overview of OpenAI Crawlers". OpenAI. developers.openai.com
- ^ "Google's common crawlers". Google Crawling Infrastructure, updated October 15, 2026. developers.google.com
- ^ Chapekis, Athena; Lieb, Anna (July 22, 2025). "Google users are less likely to click on links when an AI summary appears in the results". Pew Research Center. pewresearch.org
- ^ Reid, Liz (August 6, 2025). "AI in Search is driving more queries and higher quality clicks". Google. blog.google
- ^ Soni, Aditya (September 15, 2025). "Rolling Stone, Billboard Owner Penske Sues Google Over AI Overviews". Reuters (via Claims Journal). claimsjournal.com
- ^ Deutscher, Maria (July 4, 2025). "Publisher group files EU antitrust complaint against Google over AI Overviews". SiliconANGLE. siliconangle.com
- ^ "What's new in Google Analytics". Google Analytics Help, May 13, 2026. support.google.com
- ^ "Default channel group". Google Analytics Help. support.google.com
- ^ "Introducing AI Performance in Bing Webmaster Tools Public Preview". Bing Webmaster Blog, February 10, 2026. blogs.bing.com
- ^ "Magnetize ME Introduces AI Optimization Services in Response to Changing Search Behavior". Star Tribune, August 10, 2026. financialcontent.com