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LinkedInlinkedin.com

38/ 100 · Agentic Usability Score
SelectiveScanned 2026-09-22 · local-node · method v0.1Edge: cloudflare
Muse
Meta
?Untested
ChatGPT Agent
OpenAI
Disallowed
Claude
Anthropic
Disallowed
Comet
Perplexity
Disallowed
Grok Bot
xAI
Disallowed
Gemini
Google
Disallowed
Manus
Manus
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
23/40
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.
  • robots.txt disallows 19 of 19 user-directed agents via a default Disallow: / for unlisted bots: ChatGPT-User, Claude-User, Perplexity-User, GoogleAgent-Mariner, GoogleAgent-Shopping, Manus-User, MistralAI-User, Devin…
  • Homepage serves a normal page to ChatGPT-User, Claude-User, Perplexity-User and GoogleAgent-Mariner
  • robots.txt names 76 user-agents
  • Also disallows 13 of 15 training/search crawlers (not scored; agents ≠ crawlers)
  • 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-User200normal page
Claude-User200normal page
Perplexity-User200normal page
GoogleAgent-Mariner200normal page
browser (human)200normal page

What LinkedIn would need to change

1Stop disallowing identified user-directed agents in robots.txtAccess · up to 17 pts

You disallow 19 agents that act live for a person. Crawler rules (GPTBot, ClaudeBot) can stay; user-directed agents are the ones a customer sends.

User-agent: ChatGPT-User
User-agent: Claude-User
User-agent: Perplexity-User
User-agent: GoogleAgent-Mariner
User-agent: GoogleAgent-Shopping
User-agent: Manus-User
Allow: /

2Give 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.linkedin.com/api/ucp/v1" }] },
  "capabilities": { "dev.ucp.shopping.checkout": [ … ] } } }

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

3Publish 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
# LinkedIn
> One paragraph on what this site is for.
- [Products](/products): how to search and filter
- [Checkout](/checkout): steps and constraints

4Add 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": "LinkedIn", "url": "https://www.linkedin.com/" }
</script>

5Say 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: /