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Officially verified details Sitelemetry

Website audits your AI coding agent can act on.

Sitelemetry

Sitelemetry Reviews and Details

This page is designed to help you find out whether Sitelemetry is good and if it is the right choice for you.

Screenshots and images

  • Audit evidence your AI coding agent can act on over MCP //
    2026-09-29
  • Security, SEO, AI visibility, accessibility, performance and integrations in one view //
    2026-09-29
  • Audit, fix with an agent, then re-audit to see what closed //
    2026-09-29
  • Audit localhost with the loopback-only Local Agent //
    2026-09-29

Features & Specs

  1. Security audit

    HTTP headers, TLS, DNS and email authentication checks with evidence and fixes

  2. Technical SEO audit

    Indexability, metadata, structured data and crawl signals

  3. AI visibility readiness

    Crawler access, llms.txt and structured content for AI assistants

  4. Accessibility Audit

    Automated accessibility checks with remediation steps

  5. Remote MCP server

    Seven audit tools for AI assistants and coding agents, connected with OAuth

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Questions & Answers

As answered by people managing Sitelemetry.
  1. What makes Sitelemetry unique?

    Most audit tools stop at a report. Sitelemetry returns every finding with severity, evidence, impact and remediation in a structure an AI coding agent can act on, and turns each audit output into one fix prompt. Its seven audit tools run directly inside ChatGPT, Claude, Cursor, Codex or VS Code through a remote MCP server, so the agent can audit, apply the fix in your project and re-audit to confirm what closed.

  2. Why should a person choose Sitelemetry over its competitors?

    One workspace replaces separate checkers for security headers, SEO, accessibility and speed. Findings come with evidence and a remediation instead of just a score, and the same audits run where you already build: ChatGPT, Claude, Cursor, Codex, VS Code, a Chrome extension, a WordPress plugin, a GitHub Action or an n8n node. After a fix, a re-audit shows which findings actually closed. A free plan covers security checks, and a no-signup snapshot lets you try it first.

  3. How would you describe the primary audience of Sitelemetry?

    Web agencies, developers and small product teams who build or maintain websites with AI coding agents and want a repeatable way to check security, technical SEO, AI discoverability, accessibility and performance before and after each change. WordPress site owners use the plugin, and teams that automate their checks use the GitHub Action or the n8n node.

  4. What's the story behind Sitelemetry?

    Sitelemetry started in 2026 in Ordu, Türkiye. AI coding agents made it fast to ship websites, but checking the result still meant several separate tools whose reports the agent could not act on. Sitelemetry puts those checks in one place and returns structured evidence an agent can use to fix the site and then re-audit it.

  5. Which are the primary technologies used for building Sitelemetry?

    • Node.js and JavaScript for the audit service and web app
    • Model Context Protocol (Streamable HTTP) for the remote MCP server
    • OAuth 2.1 with PKCE for connecting AI clients
    • A Chrome extension, a WordPress plugin, an n8n community node and a GitHub Action as additional entry points

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Is Sitelemetry good? This is an informative page that will help you find out. Moreover, you can review and discuss Sitelemetry here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.