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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.

In AI search you can't bury a bad result — you manage brand reputation by monitoring what ChatGPT, Gemini and Perplexity say, correcting the facts they retrieve, and flooding the web with fresh authoritative signal until the model's consensus updates.

Cross-platform GEO isn't five campaigns — it's one consistent, well-structured brand entity every AI engine can retrieve, plus a few per-platform signals, because buyers now decide across ChatGPT, Perplexity, Gemini and more.

Your AI competitors are whichever brands ChatGPT, Gemini, and Perplexity name in their answers — measuring their Share of Model, framing, and citation sources tells you exactly where to fight and how to win the recommendation.

A GEO content strategy optimizes for the citation, not the ranking: lead with a quotable answer, add original data and schema, and track mention and citation rate across AI engines — that's what decides whether a model repeats your content with your brand attached.

Prompt research replaces keyword lists with a prioritized prompt map of the AI questions where a mention moves a purchase, because in generative search the unit that matters is the question, not the word.

Build a GEO report around three numbers — AIGVR, Share of Model, and citation rate — tracked weekly per engine, and AI visibility turns from a guess into a decision your stakeholders can act on.