Monitoring
Standards move. We tell you what broke, before a customer does
Agent readiness is not a project you finish. It is a property that decays, usually silently and usually after a routine deploy.
What actually breaks, and how
The failure mode is almost never dramatic. A CDN provider changes a default and your bot access disappears overnight. A framework upgrade moves a route from server-rendered to client-rendered. A template refactor drops the structured data from product pages. A certificate renewal quietly loses the HSTS header.
None of these produce an error your team would notice. Your site looks fine in a browser, your analytics look fine, and the traffic you lose is traffic you never knew you were going to get.
What we do about it
We re-scan on a schedule, diff against your last result, and tell you what changed and why it matters. The rubric itself will change as WebMCP and agentic commerce protocols settle. When it does, we re-score you against the new version and explain the delta rather than silently moving your number.
Alerts go to a human who has read your audit, not to an automated dashboard nobody opens. If something breaks that we can fix in under an hour, we will usually just fix it.
What you get
- Scheduled re-scans with change diffs against your baseline
- Alerting on regressions, routed to a human who knows your site
- Re-scoring and explanation when the rubric version changes
- Quarterly review of what moved and what is now worth doing
- Typical timeline
- Monthly retainer
- Investment
- Scoped to site size and change rate
We scope against architecture, not page count. How we price
The rest of what we do
- Agent readiness audit
A full audit of what AI agents can and cannot do on your site
A manual audit against the published 100-point rubric: what agents can fetch, parse, and act on, with captured evidence for every finding and a ranked fix list.
- Implementation
We make the fixes, in your codebase or your CMS
Done-for-you remediation of agent readiness findings, from schema to rendering to machine endpoints, delivered as reviewable pull requests or CMS changes.