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Verify how seamlessly autonomous AI agents can search your pages, read layout content, and complete checkout/lead forms. Get a clear A-F agent readiness grade.
WebMCP (Model Context Protocol) and semantic structure declare standard rules so that search crawlers and otonom transaction agents understand your website.
By exposing a server card JSON and API catalog, you let AI assistants browse product lines and submit orders directly via API.
Verifies robots.txt declarations. Address AI crawlers like PerplexityBot and GPTBot to claim visibility slots in conversational queries.
Autonomous browser operators parse DOM trees. Using labeled controls and autocomplete values prevents form submission failures.
WebMCP (Model Context Protocol on Web) is an emerging standard allowing AI agents to communicate directly with web service APIs to execute tasks, avoiding slow and error-prone browser click simulations.
It represents the Agent Readiness of your site: A (Agent-Ready, 90+), B (Good, 80-89), C (Acceptable, 70-79), D (Poor, 60-69), and F (Failure, <60). A score of F indicates an AI agent will likely fail to interact with your forms or scrapers.
Start by updating robots.txt for bot access, adding descriptive placeholders/labels to input elements, and configuring an API catalog directory for AI agents.
| Website | Grade |
|---|---|
| A (97) | |
| A (97) | |
| A (97) |