Run a free audit on your storefront →

GEO Audit — Generative Engine Optimization for E-Commerce

Audit your storefront for Generative Engine Optimization (GEO). See how AI engines parse, rank, and recommend your products.

SEO ranks pages. Generative engines cite facts. When a user asks ChatGPT "what's the best 12-foot kayak under $800?", the model isn't returning a SERP — it's synthesizing an answer from sources it can parse and trust. GEO is the discipline of making sure your catalog is one of those sources, with the right facts, in the right format, accurate enough to be quoted without correction.

What GEO actually is

Generative Engine Optimization is the practice of structuring your site so generative AI engines — ChatGPT, Perplexity, Gemini, Claude — can find, parse, trust, and cite your content. For e-commerce that means making sure product data is extractable, identifiers are present, claims match the spec, and the page renders the same to a headless browser as it does to a human. The fixes are concrete; the result is showing up inside answers your buyers actually receive.

How GEO differs from SEO

SEO optimizes for ranking in a search results list, where a human ultimately clicks. GEO optimizes for being correctly understood and cited inside a generative engine's answer, where the user may never see the source page at all. SEO cares about links and keywords. GEO cares about structured data, factual accuracy, and being machine-trustworthy.

  • Goal. SEO: rank in the SERP. GEO: be cited in the answer.
  • Primary reader. SEO: search crawler. GEO: generative model.
  • Click required. SEO: yes. GEO: often no.
  • What matters most. SEO: backlinks, keywords, intent. GEO: structured data, factual accuracy, parseability.
  • Failure mode. SEO: the page doesn't rank. GEO: the page is ignored or misquoted.

What a GEO audit measures

The same nine PDQ dimensions we use across every audit, weighted into a single 0–100 score: ACR (AI Catalog Readiness, 25%), Completeness (25%), Conformity (10%), Consistency (10%), Uniqueness (10%), Validity (10%), Referential Integrity (5%), Accessibility (5%), and an Accuracy penalty for copy/spec mismatches. The output is the score, a RAG breakdown per dimension, and a ranked fix list.

See the full PDQ framework for the methodology, and the related AEO audit for the answer-engine-specific framing.

Related

Agentic commerce readiness · AEO audit · PDQ framework · Checklist

Run your own
See your catalog's PDQ score in about 75 seconds.

Free. No signup needed. 9 dimensions audited. Ranked fix list when you're done.

Run a free audit →