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Best Buybestbuy.com

36/ 100 · Agentic Usability Score
SelectiveScanned 2026-09-22 · local-node · method v0.1Edge: akamai
Muse
Meta
?Untested
ChatGPT Agent
OpenAI
?Untested
Claude
Anthropic
?Untested
Comet
Perplexity
?Untested
Grok Bot
xAI
Not disallowed
Gemini
Google
Allowed
Manus
Manus
Not disallowed
Instinct
Spear Street
?Untested

Score breakdown

Five pillars. Task completion is pending until the live task runner ships; the other four are rescaled to 100.
Accessrobots.txt stance + live door test
21/40
Consent & identity pathContent-Signal, published agent policy
0/10
Machine-readable surfacellms.txt, JSON-LD, landmarks, SSR
11/25
Agent protocolsUCP, MCP, A2A, OpenAPI
0/15
Task completionlive agent run: search → cart → checkout
pending

Evidence

Generated by the scanner from this run. Every line is reproducible with the open-source probe.
  • Homepage serves GoogleAgent-Mariner; no response to ChatGPT-User, Claude-User, Perplexity-User
  • robots.txt has no rule against any user-directed agent we test
  • robots.txt restricts some paths for ChatGPT-User, Claude-User, Perplexity-User, Gemini-Deep-Research
  • robots.txt names 33 user-agents
  • No Content-Signal in robots.txt
  • No llms.txt
  • No JSON-LD structured data on the homepage
  • Semantic landmarks present (main, nav)
  • No agent-protocol manifest (UCP, MCP, A2A, OpenAPI)
Identified asHTTPResult
ChatGPT-Userno response
Claude-Userno response
Perplexity-Userno response
GoogleAgent-Mariner200normal page
browser (human)200normal page

What Best Buy would need to change

1Give agents a front doorProtocols · up to 12 pts

A Universal Commerce Protocol manifest for shopping, or an MCP server card for everything else. An agent that can call an API never needs to hold a customer's password.

GET /.well-known/ucp
{ "ucp": { "version": "2026-01-23",
  "services": { "dev.ucp.shopping": [{ "transport": "rest", "endpoint": "https://www.bestbuy.com/api/ucp/v1" }] },
  "capabilities": { "dev.ucp.shopping.checkout": [ … ] } } }

# or
GET /.well-known/mcp.json
{ "name": "Best Buy", "endpoint": "https://www.bestbuy.com/mcp", "transport": "streamable-http" }

2Publish llms.txtSurface · up to 8 pts

A short markdown map of what the site does, where the important pages are, and how to search or check out.

/llms.txt
# Best Buy
> One paragraph on what this site is for.
- [Products](/products): how to search and filter
- [Checkout](/checkout): steps and constraints

3Add JSON-LD structured dataSurface · up to 6 pts

schema.org Organization on the homepage, Product + Offer on product pages, with price and availability.

<script type="application/ld+json">
{ "@context": "https://schema.org", "@type": "Organization", "name": "Best Buy", "url": "https://www.bestbuy.com/" }
</script>

4Say your stance with a Content-SignalConsent · up to 3 pts

Two lines in robots.txt end the guessing game. ai-input covers agents reading pages on a person's behalf.

User-Agent: *
Content-Signal: search=yes, ai-input=yes, ai-train=no
Allow: /