How they find and quote you
Robots.txt, sitemaps, content negotiation, and the user-agent rules that decide whether an AI search result quotes you — or your competitor.
- ChatGPT browse
- Gemini
- Perplexity
- Claude search
ChatGPT, Gemini, Perplexity, Claude — and the autonomous browser agents on top of them — already shop your site. We tell you which ones can reach you, which ones can’t, and exactly why.
Tested against
target
https://glossier.com_
compat
2/7
agent classes ↦
ChatGPT browse
robots ✓ · sitemap ✓
Gemini
Googlebot user-agent disallowed
Perplexity
PerplexityBot allowed
Operator / Atlas
PDP JS-heavy, slow to settle
Mariner
Cart needs sign-in
Claude Code · Cursor
No MCP server card
ACP checkout
agent-commerce-protocol missing
/ what we test
The web isn’t about “AI” in the abstract — it’s about whether this agent can find you, read you, and transact with you. We score each class against the open protocols it actually uses.
Robots.txt, sitemaps, content negotiation, and the user-agent rules that decide whether an AI search result quotes you — or your competitor.
Real browser sessions running 25 brand-aware shopping tasks. PDP load, filter, compare, cart, checkout. Replay video per task with a 1–5 self-eval.
MCP server card, agent skills, A2A discovery. If you don't expose these, CLI agents have no way to know your API exists — they just don't visit.
agent-commerce-protocol endpoints, structured product data, identity hand-off. The difference between an agent recommending you and an agent buying from you.
/ the gap
ChatGPT, Claude, and Perplexity are sending agents to your storefront every day. They click, read, recommend — or give up. You can't watch over their shoulder, and your analytics treat them like noise.
Robots.txt, sitemaps, MCP cards, agent-commerce protocols. None of it surfaces in any tool you already pay for. By the time someone asks why agent traffic dropped, it's a quarter late.
The fastest way to know is to watch a real agent attempt 25 real shopping tasks on your site, with the recording, the transcript, and the score next to it. Until now, you haven't been able to.
/ how it works
Two layers, one private report. Standards probes against open web specs, then a real agent runs 25 brand-aware shopping tasks. Every result has a chat next to it.
Standards probe runs inline in 6 seconds. L0–L5 score, per-check evidence, copy-paste fix prompts. Free, no email required.
One magic link. The scan becomes a private permalink only you can see. From here, you can run the behavioral scan.
Behavioral score, per-task drilldown with replay video, self-eval reasoning. Chat with the report to dig in.
/ one last look
Standards score is free. Behavioral scan is gated behind a magic-link sign-in. Reports are private to your email — there’s no public leaderboard.
a product of aigency · merchant control plane for AI agents