Imagine your AI agent finishes a website fix late at night. The next day, the client asks what changed and how you checked it.
The evidence might be split between an audit export, Excel, screenshots and a chat thread. Rebuilding that context costs attention and can add repeated AI investigation.
We're building Sitelemetry around audit targeted fix re-test: structured findings you can review through ChatGPT, Claude or MCP, then hand to a coding agent for a focused repair.
Security, SEO, AI visibility, accessibility, performance and integration coverage depends on the plan; protected audits require authorized, verified targets.
AI can build and ship a website quickly, but it runs is not the same as it s ready.
Before you publish, which checks still slow you down most: security, SEO, AI visibility, accessibility, performance, or integrations?
I m building Sitelemetry to audit those areas and turn measured findings into actionable fix prompts. Review findings in ChatGPT or Claude, or use an MCP-compatible coding agent such as Codex or Claude Code to apply fixes, then re-test with Sitelemetry. Audit coverage and usage depend on your plan. The Local Agent can also audit localhost before a public domain exists.
Sitelemetry audits websites for security, technical SEO, AI visibility, accessibility, performance and integrations, and turns every finding into a fix prompt your AI agent can act on. Connect it to ChatGPT, Claude, Cursor or Codex over MCP, or use the web app, Chrome extension or WordPress plugin. Re-audit after the fix to see what closed. Start with the free no-signup snapshot; the free plan covers security checks and full audits start at $49/month.
