AI visibility guide
AI Visibility Audit: What It Measures
An AI visibility audit should not be a magic score or a vague SEO report with AI branding. It should show whether a local business is clear, verifiable, and easy for AI-powered discovery systems to recommend.
1. Entity clarity
AI systems need to understand what the business is, what it offers, where it operates, and which customers it serves. A good audit checks whether those facts are clear on the website, listings, schema, and public profiles.
2. Service and location evidence
A business is easier to recommend when its core services, service areas, hours, contact paths, and proof points are visible in plain language. Thin pages and vague category labels make confident recommendations harder.
3. Trust signals
Reviews, testimonials, credentials, case examples, photos, citations, and consistent business details all help discovery systems verify that a business is real, active, and relevant.
4. Machine-readable structure
Schema markup, crawlable pages, clean headings, FAQ blocks, internal links, robots.txt, sitemap, and llms.txt can help search and AI crawlers interpret the site more accurately.
5. Recommendation readiness
The audit should translate findings into practical next steps: which pages to clarify, which proof signals to strengthen, which listings to align, and which customer questions the site should answer better.
How to use an audit responsibly
Treat the audit as a visibility diagnosis, not a guarantee. The useful output is a prioritized fix list that improves clarity, trust, and discoverability across the website and public profiles.
Want a practical snapshot for your business? Run the free AI visibility snapshot.