The 9 audit suites

Each suite is its own scored module with its own findings, evidence, and recommended fixes. Combined, they produce one cross-cutting report with a 30/60/90 action plan.

Nine suites, one action plan

AuditHQ splits website quality into nine audit suites so each problem has context. The combined report shows how marketing, technical health, AI visibility, security, privacy, reputation, social footprint, employer brand, and AI readiness affect one another. That prevents a team from treating a technical symptom as the whole problem.

Evidence before narrative

The audit engine gathers observable signals first, then groups findings by severity and business impact. AI-assisted language helps explain the evidence, but the finding must come from a real website signal. That keeps the report grounded and makes the recommendations easier to review.

Useful for non-technical and technical teams

Non-technical stakeholders get plain-language priorities and risk framing. Technical users get enough evidence to reproduce, assign, and fix issues without guessing what the report means. The same report can support a founder, a marketing lead, a developer, and an agency account manager.