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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 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.

Citation analysis is the practice of tracking and optimizing the third-party sources AI engines cite in your category — the sources that decide whether your brand appears in AI answers at all.

AIGVR (AI-Generated Visibility Rate) is a 0-100 score that measures how visible a brand is in AI-generated answers — weighting answer position at 40%, mention frequency at 25%, and citations at 25% — and it has replaced rank tracking as the headline KPI for GEO.