AI search visibility (SEO/GEO/AEO) for advanced learners
AI search visibility (SEO/GEO/AEO) for advanced learners brings together 32 resources with credited original sources. Use prerequisite levels to find learning material; unrated entities remain available in the full collection.
32 resources · page 1 of 1
aaron-marketing-skills
by Aaron Zhu
Set of 120 marketing agent skills across seven disciplines, SEO and GEO among them, installable as a plugin or as portable skills.
chatgpt-seo
Unofficial ChatGPT plugin, installed from a ZIP, with prompts that turn a page URL, draft or Search Console export into SEO fixes with verification steps.
claude-seo
Claude Code plugin with 26 sub-skills and 19 subagents for technical SEO, E-E-A-T, schema, GEO, local and international SEO audits.
About Applebot
by Apple
Apple's page on Applebot and Applebot-Extended, showing how to keep content out of Apple model training while staying crawlable for Siri and Spotlight.
geo-optimizer-skill
by Auriti Labs
CLI, MCP server and agent skill that score a URL 0 to 100 on whether AI engines can crawl, parse and cite it, with a list of fixes.
AI Performance in Bing Webmaster Tools
by Microsoft
Bing Webmaster Tools help on the AI Performance report, which lists a site's pages cited in AI answers and the grounding queries behind them.
Bing Webmaster Guidelines
by Microsoft
Bing's rules for crawling, indexing and ranking, which also set eligibility for Copilot answers, grounding API results and citations.
Cloudflare AI Crawl Control
by Cloudflare
Cloudflare docs for seeing which AI crawlers visit a site and allowing, blocking or charging each one at the network edge.
Markdown for Agents
by Cloudflare
Cloudflare feature that converts a page's HTML to Markdown at the edge when a client asks for text/markdown in the Accept header.
Common Crawl CCBot
Common Crawl's page on CCBot, its user agent and robots.txt handling; the Common Crawl archive is a frequent source of LLM training text.
Google's common crawlers
by Google
Google's list of its crawlers and robots.txt tokens, including Google-Extended, which controls Gemini training and grounding use without affecting Search.
Generative AI performance report (Search)
by Google
Search Console report of a site's impressions in AI Overviews and AI Mode by page, country, device and date; it does not include clicks.
Performance report (Search results)
by Google
Search Console help on the Performance report, which lists the queries and pages behind a site's clicks, impressions and average positions.
Search generative AI control
by Google
Search Console setting, rolled out worldwide in August 2026, that includes or excludes a site from AI Overviews, AI Mode and Discover generative features.
General Structured Data Guidelines
by Google
Google's eligibility rules for structured data, covering technical requirements, content policies and the manual actions that remove rich results.
The AI Search Manual
Free book from iPullRank on how AI search retrieves and cites content, with chapters on query fan-out, passage relevance and measuring results.
fire-your-seo-agency
by Leopard627
Claude Code skill that audits a site against public SEO, AEO and GEO checklists, applies fixes and re-measures, in English and Korean.
llms.txt in Mintlify
by Mintlify
Mintlify docs on the llms.txt and llms-full.txt files it hosts automatically for every documentation site, and how to override them.
gtm-engineer-skills
by Voyage 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.
Product feed specification
by OpenAI
OpenAI's list of required and optional product feed fields that merchants submit so their products can be shown and bought inside ChatGPT.
Perplexity Crawlers
by Perplexity
Perplexity's page on PerplexityBot and Perplexity-User, with their user-agent strings, published IP ranges and how robots.txt applies to each.
aeo-skills
by psyduckler
Agent skills for prompt research and tracking a brand in Gemini AI Overviews, ChatGPT and Perplexity, storing every raw response as JSON.
The Website Specification
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.
geo-seo-claude
Claude Code skill with /geo commands for AI crawler access, citability scoring, llms.txt, schema, brand mentions and technical SEO audits of a URL.
Evaluating Verifiability in Generative Search Engines
by Nelson F. Liu, Tianyi Zhang, Percy Liang
Human audit of four generative search engines measuring how many answer sentences are fully supported by their citations and how many citations support them.
Manipulating Large Language Models to Increase Product Visibility
by Aounon Kumar, Himabindu Lakkaraju
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.
Ranking Manipulation for Conversational Search Engines
by Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
Study of how text injected into product pages changes the order in which conversational search engines rank and cite those products.
Adversarial Search Engine Optimization for Large Language Models
by Fredrik Nestaas, Edoardo Debenedetti, Florian Tramèr
ETH Zurich paper on preference manipulation attacks, where web pages or plugin docs steer an LLM to promote one product and discredit rivals.
C-SEO Bench: Does Conversational SEO Work?
by Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun
Benchmark that tests published conversational SEO methods across several domains and with many competing actors, asking whether they raise visibility.
Generative Engine Optimization: How to Dominate AI Search
by Mahe Chen, Xiaoxuan Wang, Kaiwen Chen, Nick Koudas
University of Toronto experiments comparing which sources AI search engines and Google cite across verticals, languages and query types.
What Generative Search Engines Like and How to Optimize Web Content Cooperatively
by Yujiang Wu, Shanshan Zhong, Yubin Kim, Chenyan Xiong
Carnegie Mellon paper introducing AutoGEO, which learns generative engines' content preferences and rewrites pages to match them.
E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
by Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, Tianyi Peng, Yuhang Wu
Testbed of e-commerce queries for measuring how rewriting product descriptions changes their ranking in generative engine answers.