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# AI search visibility (SEO/GEO/AEO)

AI search visibility (SEO/GEO/AEO) brings together 81 resources with credited original sources. Use prerequisite levels to find learning material; unrated entities remain available in the full collection.

AI search visibility (SEO/GEO/AEO)

- [AI crawler access and robots](/ai-search-visibility-seo-geo-aeo/ai-crawler-access-and-robots/index.md) (15)

- [Agent skills, MCP servers and tools for SEO](/ai-search-visibility-seo-geo-aeo/agent-skills-mcp-servers-and-tools-for-seo/index.md) (15)

- [Answer-first content writing](/ai-search-visibility-seo-geo-aeo/answer-first-content-writing/index.md) (6)

- [Keyword and question research with AI](/ai-search-visibility-seo-geo-aeo/keyword-and-question-research-with-ai/index.md) (5)

- [Measuring AI citations and visibility](/ai-search-visibility-seo-geo-aeo/measuring-ai-citations-and-visibility/index.md) (20)

- [Structured data and schema](/ai-search-visibility-seo-geo-aeo/structured-data-and-schema/index.md) (7)

- [llms.txt and agent-readable sites](/ai-search-visibility-seo-geo-aeo/llms-txt-and-agent-readable-sites/index.md) (13)

[Beginner](/ai-search-visibility-seo-geo-aeo/beginner/index.md) [Intermediate](/ai-search-visibility-seo-geo-aeo/intermediate/index.md) [Advanced](/ai-search-visibility-seo-geo-aeo/advanced/index.md) [Expert](/ai-search-visibility-seo-geo-aeo/expert/index.md)

81 resources · page 3 of 3

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### [From Discovery to Influence: A Guide to GEO](/e/microsoft-guide-to-geo-2026/index.md)

by [Microsoft Advertising](https://about.ads.microsoft.com)

Microsoft Advertising playbook for retailers on the product feeds, crawled pages and off-site data AI assistants use when recommending products.

Intermediate learning_resource guide West en 

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### [Optimizing Your Content for Inclusion in AI Search Answers](/e/microsoft-optimizing-content-ai-search-answers/index.md)

by [Microsoft Advertising](https://about.ads.microsoft.com)

Microsoft's October 2025 explanation of how Copilot splits pages into chunks for answers, with do and avoid lists for headings, Q&A blocks, tables and schema.

Intermediate learning_resource blog West en 

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### [llms.txt in Mintlify](/e/mintlify-llms-txt/index.md)

by [Mintlify](https://mintlify.com)

Mintlify docs on the llms.txt and llms-full.txt files it hosts automatically for every documentation site, and how to override them.

Intermediate–Advanced learning_resource docs West en 

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### [gtm-engineer-skills](/e/onvoyage-ai-gtm-engineer-skills/index.md)

by [Voyage AI](https://github.com/onvoyage-ai)

Agent skills that each produce a GTM file, such as keyword and GEO prompt clusters, an AEO audit, a backlink plan or website code fixes.

Intermediate–Advanced learning_resource skill-library en 

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### [Product feed specification](/e/openai-product-feed-spec/index.md)

by [OpenAI](https://openai.com)

OpenAI's list of required and optional product feed fields that merchants submit so their products can be shown and bought inside ChatGPT.

Intermediate–Advanced learning_resource docs West en 

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### [Perplexity Crawlers](/e/perplexity-crawlers/index.md)

by [Perplexity](https://www.perplexity.ai)

Perplexity's page on PerplexityBot and Perplexity-User, with their user-agent strings, published IP ranges and how robots.txt applies to each.

Intermediate–Advanced learning_resource docs West en 

- 

### [aeo-skills](/e/psyduckler-aeo-skills/index.md)

by [psyduckler](https://github.com/psyduckler)

Agent skills for prompt research and tracking a brand in Gemini AI Overviews, ChatGPT and Perplexity, storing every raw response as JSON.

Intermediate–Advanced learning_resource skill-library en 

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### [The Website Specification](/e/specification-website/index.md)

by [Joost de Valk](https://joost.blog)

Joost de Valk's sourced reference of web standards from HTML head tags to robots.txt, llms.txt and security.txt, also queryable through an MCP server.

Intermediate–Advanced learning_resource guide West en 

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### [geo-seo-claude](/e/zubair-trabzada-geo-seo-claude/index.md)

by [Zubair Trabzada](https://github.com/zubair-trabzada)

Claude Code skill with /geo commands for AI crawler access, citability scoring, llms.txt, schema, brand mentions and technical SEO audits of a URL.

Intermediate–Advanced learning_resource skill-library West en 

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### [Evaluating Verifiability in Generative Search Engines](/e/arxiv-2304-09848/index.md)

by [Nelson F. Liu, Tianyi Zhang, Percy Liang](https://arxiv.org/abs/2304.09848)

Human audit of four generative search engines measuring how many answer sentences are fully supported by their citations and how many citations support them.

Advanced–Expert learning_resource paper West en 

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### [Manipulating Large Language Models to Increase Product Visibility](/e/arxiv-2404-07981/index.md)

by [Aounon Kumar, Himabindu Lakkaraju](https://arxiv.org/abs/2404.07981)

Harvard study showing that an optimised text sequence added to a product page raises how often an LLM lists that product as its top recommendation.

Advanced–Expert learning_resource paper West en 

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### [Ranking Manipulation for Conversational Search Engines](/e/arxiv-2406-03589/index.md)

by [Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi](https://arxiv.org/abs/2406.03589)

Study of how text injected into product pages changes the order in which conversational search engines rank and cite those products.

Advanced–Expert learning_resource paper West en 

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### [Adversarial Search Engine Optimization for Large Language Models](/e/arxiv-2406-18382/index.md)

by [Fredrik Nestaas, Edoardo Debenedetti, Florian Tramèr](https://arxiv.org/abs/2406.18382)

ETH Zurich paper on preference manipulation attacks, where web pages or plugin docs steer an LLM to promote one product and discredit rivals.

Advanced–Expert learning_resource paper West en 

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### [C-SEO Bench: Does Conversational SEO Work?](/e/arxiv-2506-11097/index.md)

by [Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun](https://arxiv.org/abs/2506.11097)

Benchmark that tests published conversational SEO methods across several domains and with many competing actors, asking whether they raise visibility.

Advanced–Expert learning_resource paper en 

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### [Generative Engine Optimization: How to Dominate AI Search](/e/arxiv-2509-08919/index.md)

by [Mahe Chen, Xiaoxuan Wang, Kaiwen Chen, Nick Koudas](https://arxiv.org/abs/2509.08919)

University of Toronto experiments comparing which sources AI search engines and Google cite across verticals, languages and query types.

Advanced–Expert learning_resource paper West en 

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### [What Generative Search Engines Like and How to Optimize Web Content Cooperatively](/e/arxiv-2510-11438/index.md)

by [Yujiang Wu, Shanshan Zhong, Yubin Kim, Chenyan Xiong](https://arxiv.org/abs/2510.11438)

Carnegie Mellon paper introducing AutoGEO, which learns generative engines' content preferences and rewrites pages to match them.

Advanced–Expert learning_resource paper West en 

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### [E-GEO: A Testbed for Generative Engine Optimization in E-Commerce](/e/arxiv-2511-20867/index.md)

by [Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, Tianyi Peng, Yuhang Wu](https://arxiv.org/abs/2511.20867)

Testbed of e-commerce queries for measuring how rewriting product descriptions changes their ranking in generative engine answers.

Advanced–Expert learning_resource paper West en 

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