Dedica evaluates websites against 125 automated checks to detect where AI agents encounter barriers, providing prioritized scores and remediation instructions.
What the product does and how it is positioned
Dedica is an evaluation service that analyzes websites from the perspective of AI agents, identifying technical obstacles that prevent automated software from discovering, accessing, or completing actions on a domain.
The service assesses websites across discovery, access, usability, and payments, outputting prioritized findings along with dedicated instruction files designed for developers or coding assistants to resolve identified failures.
Source-supported ways to use the product
Teams enter their website domain to reveal where bot security checks, script-loading requirements, or missing API specifications prevent software agents from reading content.
Engineering teams pass generated Markdown instruction files directly to developers or coding tools to guide implementation and test each adjustment.
Organizations rescan their domains following site updates to ensure modified endpoints return appropriate responses and pass previous audit checks.
The documented workflow, where available
Enter a domain to initiate an automated scan that evaluates agent compatibility and returns a scored breakdown across audit categories.
Provide the generated Markdown remediation files to a developer or import them into coding assistants such as Claude Code, Codex, Cursor, or Copilot.
Rescan the domain once technical adjustments are deployed to confirm that previously failing checks now pass.
Dedica organizes site evaluations across four primary operational areas: discovery, access, usability, and payments. The assessment runs 125 checks to simulate how AI agents navigate websites, pinpointing structural and security configurations that prevent software agents from completing basic tasks.
When scans complete, the system highlights high-impact issues such as bot detection pages returning 403 status codes, pricing data that requires client-side JavaScript execution, and the absence of standardized OpenAPI specifications or MCP server manifests. Each issue displays an estimated score impact.
To assist with remediation, the platform provides individual instruction files structured for developers or coding agents. Each file states the finding, specifies the required configuration or code changes, and outlines verification procedures to validate that the endpoint responds correctly.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Dedica assesses website performance across four categories: discovery, access, usability, and payments, evaluating 125 specific checks.
The audit identifies obstacles including bot verification challenges on public routes, JavaScript-dependent content, missing OpenAPI specifications, and absent MCP servers.
Remediation guidance is provided as individual Markdown files per issue, each detailing what to change and outlining how to verify the resolution.
Yes, the instruction files are designed to be handed to developers or loaded into coding agents such as Claude Code, Codex, Cursor, and GitHub Copilot.
Teams follow the verification steps in each instruction file and perform a rescan of their domain in Dedica to verify that the check passes.
