Teardowns, benchmarks and field notes on Agent Commerce Readiness — how stores get seen, compared and recommended by AI buyers.
Your Google Merchant Center feed powers Google Shopping — and nothing else. ChatGPT, Gemini, Perplexity, and Claude read the structured data on your product pages, a completely separate pipeline. Merchants who optimize only for GMC are invisible to the AI agents that now drive a growing share of purchase decisions.
Read →In our June–July scans, 37% of stores scored zero on structured data, averaging 23/100 overall. The 19 stores with at least some JSON-LD averaged 83. That 60-point gap is the difference between being recommended by an AI buyer and being invisible.
Read →AI crawlers check for a file at your domain root that most e-commerce stores do not have. Here is what llms.txt is, what goes in it, and why its absence leaves an AI buyer guessing about which pages matter.
Read →In our June scans, 24 of 30 stores skipped the AI preference dimension entirely, defaulting to a neutral score. The 6 that tested it saw results ranging from 40 to 100 — a 24-point readiness swing from one dimension. The heaviest-weighted part of the score is the one merchants measure least.
Read →We scanned 20 e-commerce stores in late June. Among those with solid product structured data, stores with weak crawlability scored 15 points lower on average — a gap that costs them AI buyer recommendations despite having the hardest part already done.
Read →We scanned 8 e-commerce stores that ship valid product structured data. Only 2 included return or shipping policy in a form an AI buyer can read. The rest — stores scoring up to 91 on product schema — scored zero on the dimension that decides the outcome when products are otherwise equal.
Read →We scanned 7 e-commerce stores for AI buyer readiness. Every Shopify store had complete product structured data by default. Only 1 of 4 custom-platform stores did — and the gap explains most of the readiness score.
Read →We scanned 8 e-commerce stores and found a clean split — half have solid structured data and score 60+, the other half have none at all. There is no middle ground on what matters most to AI buyers.
Read →AI buyers build their shortlist from your product page's data layer, not its design. Here are the eight JSON-LD fields that decide whether ChatGPT, Gemini, and Perplexity can recommend your products — and the three mistakes that get you dropped.
Read →AI buyers like ChatGPT, Gemini and Perplexity read your store before a human ever does. Here is what they look for, and why structured data decides whether your products get recommended.
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