Features for AI visibility in expertise-led firms
Audit AI is built for accountants, law firms, consultants, financial advisers, and agencies that need stronger AI discoverability.
Professional service AI visibility focus
Service and location understanding
Evidence-led recommendations over generic advice
SEO foundations that affect AI visibility
We check only the technical and content basics that influence discoverability and answer extraction quality.
- Title and meta description quality
- Heading structure and content depth
- Internal linking and crawlability signals
- Schema detection and machine-readability hints
AEO readiness for buyer questions
Assess whether service pages are structured so answer engines can extract clear, useful responses.
- Question-led heading patterns
- FAQ and concise answer coverage
- List/table structure for quick extraction
- Answer clarity recommendations
GEO and entity trust signals
Measure whether AI systems can identify who the firm is, what it does, and why it should be trusted.
- Firm, service, and location clarity
- About, contact, and people signals
- Professional trust/proof indicators
- Entity-strength recommendations
Schema and machine readability
Find missing or weak structured data that limits machine-readable understanding.
- Schema presence and type relevance
- FAQPage/Organization/service schema opportunities
- Placeholder-safe schema guidance
- Review-before-publishing guardrails
Trust and conversion readiness
Check whether prospects can confirm credibility and move cleanly from research to enquiry.
- Trust/proof visibility in analysed pages
- Service-page CTA and enquiry pathways
- Contact-route consistency
- Practical conversion improvements
Implementation-ready outputs
Translate findings into tasks your marketing or development team can execute.
- Top 3 priority actions
- Evidence-backed recommendation blocks
- Affected page references
- Developer handoff checklist items