Website evidence your team can use with clients

What AuditHQ does

AuditHQ turns a public website URL into a structured audit across marketing, technical SEO, AI visibility, security, privacy, reputation, social footprint, employer brand, and AI readiness. The output is a ranked action plan, not a loose checklist.

Who it is for

AuditHQ is built first for agencies and consultants that need repeatable website evidence for prospecting, onboarding, client reviews, and prioritisation. Owners and in-house teams can use the same workflow on their own sites. Non-technical users get plain-English priorities; technical users get the recorded evidence and implementation context.

How the audit works

The platform collects crawlable website signals, applies deterministic checks, groups issues by suite, and explains the findings with evidence. The full report includes suite scores, issue detail, quick wins, and a 30/60/90 day action plan.

Why it is different

Single-purpose SEO crawlers often stop at technical warnings. AuditHQ connects SEO, AI visibility, trust, privacy, security, conversion, and reputation signals so teams can see root causes across the whole website experience.

The nine audit suites

Marketing checks public conversion paths, calls to action, trust signals, and messaging clarity. Technical covers Core Web Vitals, crawlability, structured data, and on-page health. AI Visibility checks public crawlability, entity, structure, freshness, and content signals that can support understanding and citation by answer engines; it does not claim to observe every answer engine directly. Security reviews publicly observable HTTPS, headers, email authentication, and exposed-service signals. Privacy checks public policy, cookie, consent, and tracker signals. Reputation, Social Footprint, Employer Brand, and AI Readiness assess publicly observable signals only - they are not substitutes for private operational, HR, legal, or security reviews.

Key terms: what is a website audit?

A website audit is a structured review of a site’s public signals that turns raw checks into prioritised, evidence-backed fixes. AI search readiness refers to whether a website exposes the crawlability, entity, structure, freshness, and content signals that can support understanding and citation by AI search and answer systems. Generative engine optimisation, or GEO, means shaping content and structured data so AI engines quote the site as a source. A quick scan is a free sample of the full audit that checks core signals across all nine suites in about 60 seconds.

Common questions

How long does an audit take? Around 5 to 8 minutes for the full nine-suite audit; the free quick scan takes about 60 seconds. Are findings evidence-backed? Automated findings start from recorded website observations or named external sources, and reports show the evidence used so a human can verify it before acting. Some suites infer readiness from public signals and state that scope. Can reports be white-labelled? Yes - the Agency plan includes white-label controls. Is there a contract? No - plans are month-to-month and can be cancelled anytime, with access through the end of the billing period.

What the marketing, technical, and AI visibility suites check in detail

The Marketing suite reviews the homepage value proposition, primary and secondary calls to action, trust signals such as testimonials and client logos, form friction, message-to-market clarity, and whether the page tells a visitor what to do next. The Technical suite measures Core Web Vitals from live Google PageSpeed Insights data - Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint - alongside crawlability, XML sitemap health, robots directives, canonical tags, structured data coverage, HTTP status hygiene, image optimisation, and render-blocking resources. The AI Visibility suite audits AI-search readiness rather than claiming to observe every answer engine directly. It inspects crawler access in robots.txt, the presence of an llms.txt file, Schema.org entity coverage, sameAs cross-references, FAQ and question-answer markup, passage-level citability, and freshness signals that can support machine understanding and citation. Observed mention and citation tracking is a separate planned roadmap capability.

What the security, privacy, reputation, social, employer, and AI readiness suites check

The Security suite reviews publicly observable HTTPS, security headers, email authentication, DNS hygiene, and known-vulnerability signals. The Privacy suite reviews public privacy-policy, cookie, consent-banner, and tracker signals; it is not legal advice or a private compliance audit. Reputation and Social Footprint review public review, profile, and trust signals. Employer Brand reviews publicly visible careers, EVP, pay-transparency, and employer-profile signals rather than internal employee experience. AI Readiness reviews publicly visible analytics, automation, customer-facing AI, integration, and governance signals rather than a company’s private systems, data, budget, or staff capability.

How AuditHQ verifies every finding before reporting it

AuditHQ is evidence-first by design. The engine records website observations and named external-source results before AI writes the narrative. AI explains those recorded outcomes; it does not create the underlying observation or score. The report also distinguishes public evidence from inferred readiness signals, because a public website cannot prove what is happening inside a business. Customers should review the attached evidence before acting, and AuditHQ publishes a correction path when a finding is wrong.

Who uses AuditHQ and how

Agencies and consultants are the primary workflow: use AuditHQ to screen prospects, create an evidence-backed starting point for onboarding, and repeat the same review across a client portfolio without rebuilding the process by hand. Owners and in-house teams can run the same workflow on their own sites. The free quick scan is the low-friction entry point; the full report adds deeper evidence, prioritisation, reporting, and repeatability.

Frequently asked questions