--- id: "/tags/ai-search-visibility-seo-geo-aeo/page/3/" title: "Ai Search Visibility Seo Geo Aeo · page 3" url: "https://skillissue.dev/tags/ai-search-visibility-seo-geo-aeo/page/3/" --- [Home](/index.md) # 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. [Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md) 81 resources · page 3 of 3 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 [Previous page](/tags/ai-search-visibility-seo-geo-aeo/page/2/index.md) [Plain-text Markdown copy](/tags/ai-search-visibility-seo-geo-aeo/page/3/index.md)