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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.

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.

Follow a four-week GEO roadmap — audit, technical fixes, answer-first content, then monitoring — and in 30 days you'll move from AI-invisible to measurably cited across ChatGPT, Gemini, and Perplexity.

Online stores win AI search by becoming the product engines recommend — structured data, semantic descriptions, clean review sentiment and ACP-ready checkout decide whether ChatGPT and Perplexity name your catalog or a rival's.

AI assistants now recommend one local business by name, so winning Local GEO means proving you're the best-fit answer everywhere the model reads — through consistent NAP data, LocalBusiness schema, review sentiment and third-party citations.

Agencies can productize GEO into four sellable services — audit, entity work, Share of Model monitoring, and agentic-commerce prep — and price it as its own line item to capture high-margin demand as SEO clicks leak to AI answers.

AI now writes the software shortlist from third-party consensus, not your homepage — so SaaS teams earn recommendations by shaping what G2, Reddit, and docs say, then tracking Share of Model across engines.