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From Anker SOLIX to xTool — the brands above already see how ChatGPT, Gemini and Perplexity mention, cite and recommend them. Your brand is being talked about in AI right now. See it.
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The GEOly blog covers GEO (Generative Engine Optimization), AI search and agentic commerce — data-driven insights, benchmarks and playbooks on how brands get mentioned, cited and recommended across ChatGPT, Gemini, Perplexity and Google AI. Browse every topic by tag or author below.

Structured data is Schema.org markup, usually written as JSON-LD, that states page facts in machine-readable form so AI engines can extract, ground, and cite them instead of guessing — the closest thing a brand has to an API for AI search.

AI brand mentions are references to your brand inside answers generated by ChatGPT, Gemini, Perplexity, and other AI engines — and when answers arrive without a click, being named in the answer is the new ranking.

Generative Engine Optimization (GEO) is the practice of making a brand accessible, understandable, trustworthy, and actionable for AI engines like ChatGPT, Gemini, and Perplexity — because when buyers ask AI directly, only the brands inside the answer exist.

GEOly AI is a GEO data platform for DTC brands that turns entire categories — brands, product cards, ads, and citation sources across 7 AI engines — into a queryable industry database, with an agent-native MCP server and CLI.

Seven KPIs — mention rate, Share of Model, citation sources, answer position, sentiment, Share of Card and AI referral traffic — cover everything worth measuring in AI search, and most teams only need three of them to start.

AI Overviews now cover 91% of educational finance queries and 49% of AI chatbot users say AI has influenced a financial decision — this playbook shows banks, fintechs, and insurers how to win AI citations with source strategy, E-E-A-T, and hallucination monitoring.