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Smilewanted scores 28 out of 100 on the Agent Readiness Index

Smilewanted reaches level 2, Legible. Discoverability is the strongest area at 84 out of 100. Protocol access is the weakest at 0.

Smilewanted was scanned on October 24, 2026. Its score is 28 out of 100, level 2, Legible. An agent can read and cite your content. To reach level 3, Connectable: Offer a programmatic path: a live MCP server, a data sharing program with OAuth metadata, or a verified Poppy file.

Website: smilewanted.com

Score by area

AreaScoreWhat it asks
Discoverability84 out of 100, worth 22 pointsCan an agent find and read your pages?
Protocol access0 out of 100, worth 14 pointsCan an agent connect to you through MCP or an API?
Identity and delegation0 out of 100, worth 12 pointsCan a customer give an agent limited access without sharing a password?
Web experience56 out of 100, worth 20 pointsDoes your site work when an agent uses it?
Voice and IVRNot measured yetWhat happens when an agent calls your phone line?
Policy and governance0 out of 100, worth 6 pointsDo your terms allow agents that act for customers?
Marketing readiness0 out of 100, worth 18 pointsCan an agent see what you sell, and buy or book it?

What is holding Smilewanted back

  1. Product or service catalog with images, 33.1 points lost. No catalog of products or services with images was found: no feed, no catalog file and no structured data. Fix: Publish a product or service feed JSON or XML with an image and a price or plan for each item, and add structured data to the pages.
  2. MCP server, 15.8 points lost. No MCP server, server card or registry entry was found for this organization. Fix: Publish a remote MCP server with OAuth. Start with read only tools such as account status, orders or location search, and publish a server card at /.well known/mcp/server card.
  3. Sign in page loads for a declared agent in a browser, 9 points lost. The sign in address that was tried returned status 404, so the sign in page itself could not be confirmed. Fix: Serve the sign in page to verified agent browsers, and use signed agent identity to separate them from attackers.
  4. Sign in form structure and autofill hints, 9 points lost. 0 percent of 1 fields have labels and 0 percent set autocomplete hints. Fix: Label every field and set autocomplete values for the username, the current password and the one time code.

What already works

  • Robots policy for user triggered agents
  • Content available without running scripts
  • Home page for a declared agent

How Smilewanted compares

The average score for other is 42.6 out of 100 across 989 organizations. The average across all 2,353 scored organizations is 44.2 out of 100.

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