Diagnostic

AI Visibility Audit

We test how AI systems describe, cite, ignore, or misrepresent your business so you know exactly what to fix first.

Built for local services
Citable page structure
AI answer visibility

AI answer model

roofing company

Citation-ready

Buyer prompt

who is the best roofer for storm damage in Orlando

What AI needs

An audit reveals whether AI names the roofing company, names competitors, or lacks enough proof to recommend anyone confidently.

Sources that support citation

1Prompt test results
2Competitor citations
3Storm damage page
Quick answer

What this service does for AI visibility

Diagnose your AI visibility gaps across answer engines, local signals, schema, content, citations, and competitor recommendations.

AI citation reasons

Clear definition and buyer-intent answer at the top of the page
Question-led headings that match how people ask AI systems
Structured proof: services, locations, reviews, schema, and third-party sources
Specific local examples instead of generic marketing copy
Questions AI must answer

Built around real buyer prompts, not agency jargon.

Does AI recommend us?
Baseline prompt testing across answer engines.
Share of Model baseline
Who is getting cited instead?
Competitor source and proof analysis.
Competitor gap map
What should we fix first?
Prioritized schema, content, GBP, and citation actions.
30/60/90 roadmap
How it works

A practical path from invisible to citeable.

Most businesses are optimizing blind because they have never tested what AI actually says.

01

Prompt Testing

We test real buyer prompts across platforms and document who appears, what is said, and which sources are used.

02

Signal Diagnosis

We inspect the website, schema, GBP, reviews, citations, and content structure behind the wins and losses.

03

Priority Roadmap

You get a clear fix order: what to change first, what to build next, and how to measure improvement.

Expert strategy

An AI visibility audit should not be a vanity report. It should show the exact prompts you win, the prompts competitors win, the sources AI trusts, and the structural reasons your business is or is not cited.

Kristina Shrider, Founder — Market Disruptors Agency

What we improve

Useful for humans. Structured for AI.

ChatGPT, Perplexity, Gemini, Copilot, Claude, Meta AI, Google AI Overviews, and AI Mode checks
Competitor recommendation mapping
Entity, schema, content, and citation gap analysis
Share of Model baseline
AI misrepresentation and hallucination risk review
Prioritized 30/60/90-day action plan
Related authority paths

Connect this page to the sources AI can follow.

AI Visibility Audit FAQ

It includes prompt testing, competitor recommendation analysis, source and citation review, schema checks, entity consistency review, content extraction checks, and a prioritized roadmap for improving AI visibility.

Next step

See what AI says before your next buyer does.

Book a strategy call and we will identify which service, source, or signal layer should be fixed first.

roofing company example reviewed

The same framework adapts to contractors, med spas, legal, dental, health, and other local service brands.

Schedule Strategy Call