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.
Hello World! I’m Ozan, the founder of Sitelemetry.
I built Sitelemetry because AI coding tools help us ship websites incredibly fast, but checking whether those sites are actually secure, discoverable, accessible and production-ready still requires several disconnected tools.
My background is in safety, critical operations and technical auditing, so I naturally think in terms of evidence: find the issue, fix it, test it again and prove what changed.
Sitelemetry brings security, technical SEO, AI visibility, accessibility, performance and integration checks into one workflow. Connect Sitelemetry with Codex, Claude or ChatGPT to review findings. Use a compatible coding agent to apply fixes, then re-test with Sitelemetry. Audit coverage and usage depend on your plan. There’s also a Local Agent for auditing localhost projects before they have a public domain.
Sitelemetry is completely bootstrapped, and this is an exciting moment for me.
I’d especially appreciate feedback on the MCP workflow, the Local Agent experience and whether the findings feel clear and actionable.
You can try the free Launch Readiness Snapshot without creating an account. Thanks for checking it out!