The AI Catalog Score blog
Open methodology, captures-dataset insights, and tactical guides for making your Shopify catalog visible to ChatGPT, Claude, Perplexity and other AI shopping agents. Calibrated on 1M+ AI agent captures.
Shopify product descriptions for AI visibility: structure, factuals, length
Descriptions are the highest-weighted signal in the AI catalog rubric (20 of 100 pts). The 7 criteria, the HTML structure ChatGPT and Claude actually parse, and per-vertical examples.
How to write Shopify product titles that AI shopping agents actually read
The 6 title criteria from the open rubric, mapped to how ChatGPT, Claude, and Perplexity surface products. Per-vertical patterns, before/after examples, antipatterns to drop.
The Shopify metafields that make AI agents recommend your products, vertical by vertical
Exact metafield keys per vertical (apparel, beauty, food, home, electronics, fitness, pets, baby, outdoor, gifts): what to set, where, and why AI agents read structured fields more reliably than prose.
We tried to audit the 200 brands AI recommends most. Only 23% had a public catalog.
What happened to the other 154, and what it says about AI catalog visibility, the audit market, and the closed-data problem behind it.
The 8 Signals AI Shopping Agents Actually Look At
What ChatGPT, Claude, and Perplexity score when they decide which Shopify products to recommend: the full rubric, the weighting, and the failure mode merchants miss most often.
State of AI Commerce on Shopify, Q2 2026
1,002,311 AI agent captures, 6 agents tracked. Which agents capture the most share, which brands AI recommends most, what the top queries in our benchmark suite look like, and the catalog-quality gap behind it all.