Input boundaries
Public pages and supplied drafts
The URL reader blocks private network addresses, limits redirects and page size, and reads only the content needed for the audit request.
HAAM Content Audit Agent
Audit a public webpage or pasted draft. The agent points out unclear messages, structural friction, unsupported claims, weak actions, accessibility problems, search gaps, and content that will become difficult to maintain.
What the agent checks
The report separates high-impact issues from polish. Every finding includes observed evidence, why it matters, a recommendation, and a concrete revision direction.
Message
Structure
Clarity
Trust
Action
Search
Accessibility
Maintenance
Method
The agent combines deterministic checks with AI-assisted editorial judgment. It shows the evidence behind each finding and keeps consequential claims bounded by the material supplied.
Read the supplied page or draft and record structural, editorial, accessibility, and action signals.
Separate consequential issues from polish and connect each finding to a reader or business consequence.
Rank the work by severity, impact, and effort so revision starts with the decisions that matter.
Provide a concrete fix and revision direction without pretending the entire page can be solved by one score.
Input boundaries
The URL reader blocks private network addresses, limits redirects and page size, and reads only the content needed for the audit request.
Visible reasoning
Findings include observed evidence, reader or business consequences, a recommended fix, and a practical revision direction.
Human judgment
The agent cannot verify private analytics, legal claims, internal research, or brand intent that was not supplied. Final editorial responsibility stays human.
Optional Google Analytics and Microsoft Clarity measure content performance and usability. They load only if you allow them. Form values, email addresses, and chat messages are never included in analytics events.