Measuring AI citations and visibility: 20 curated resources
Measuring AI citations and visibility: 20 curated resources brings together 20 resources with credited original sources. Use prerequisite levels to find learning material; unrated entities remain available in the full collection.
Measuring AI citations and visibility
20 resources · page 1 of 1
geo-aeo-tracker
Self-hosted tracker that scores a brand's mentions, position, citations and sentiment in ChatGPT, Perplexity, Gemini, Copilot and AI Mode, using your API keys.
elmo
by Elmo
Self-hosted tracker that runs a prompt set across ChatGPT, Claude, Perplexity, Gemini and AI Overviews and records brand mentions and citations.
GEO
by GEO-optim (Aggarwal et al.)
Code and GEO-bench query set from the 2023 GEO paper by Aggarwal et al., for testing how content edits change visibility in generative engine answers.
geo-score
by Jianrun Tech
CLI that scores a site 0 to 100 on an open, versioned rubric for AI citability, then checks real citations through engine APIs with your keys.
Limelit Open
by Limelit
Single-binary self-hosted tracker of brand mentions and citations across ChatGPT, Claude, Perplexity, Gemini and Google AI features, with an MCP server.
oneglanse
by OneGlanse
Self-hosted tool that runs chosen prompts in AI products, saves the answers and records brand mentions, competing brands and cited domains.
AI Overviews Reduce Clicks by 34.5%
by Ahrefs
Ahrefs comparison of 300,000 keywords, half with an AI Overview, measuring the top-ranking page's click-through rate in each group.
The AI Search Optimization Checklist
by Aleyda Solis
Aleyda Solis's 12-step AI search process from prompt library to reporting, giving key questions, actions and target metrics per step, with a Sheets copy.
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.
AI Search Has a Citation Problem
by Tow Center for Digital Journalism
Tow Center test of eight AI search tools on 1,600 news excerpts, counting wrong attributions, invented links and answers from sites that blocked the crawler.
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.
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.
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.