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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.

A brand knowledge graph is a structured map of your brand as an entity — nodes for facts, edges for relationships — that AI engines use to disambiguate, reason about, and recommend you; a weak entity never even enters the answer.

A grounding query is the machine-generated search an AI runs for itself before answering — the hidden retrieval layer that decides which pages get cited in AI Overviews, ChatGPT, Gemini, and Perplexity. Here is how they work and how to win them.

A GEO audit is a systematic evaluation of how easily AI engines can crawl, understand, cite, and recommend your brand — the diagnostic that replaces the SEO audit as buying decisions move into ChatGPT, Gemini, and Perplexity.

Generative commerce is online shopping mediated by generative AI — shoppers describe what they need in plain language, and an AI assistant discovers, compares, and increasingly buys the product inside the conversation, moving the buying decision off the retailer's website and into the model's answer.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) has evolved from Google's human rater guideline into a computable trust filter: AI engines use its machine-readable proxies to decide which sources are safe to cite, and content that fails is excluded from answers entirely.

Content gap analysis for GEO identifies the facts, entities, and answers AI engines associate with your competitors but not your brand — the information voids that get you omitted from AI answers entirely, not merely ranked lower.