Example report outputs
What an AI visibility audit actually shows
An AI visibility audit should do more than produce a single score. It should show whether the business appeared, which competitors were selected, how results differed by platform, what evidence supported the answers and which website issues deserve attention first.
Example A: visible, but inconsistent
This fictional example illustrates a business that appears in several recommendation tests but lacks consistent visibility across platforms and prompts.
Residential HVAC company
Illustrative market: Bend, Oregon
recommended
Gemini shortlisted
Perplexity absent
Claude mentioned
In this simplified illustrative example, the company appeared in 7 of 12 shown recommendation prompts. Current paid tiers use 20 prompts for Standard and 25 for Pro.
Two local competitors appeared more consistently across emergency-service prompts.
Recommendations relied on the official site, directory profiles and review sources.
- The homepage clearly described HVAC services and the primary market.
- Emergency service was mentioned, but not supported by a dedicated page.
- One directory profile used an outdated phone number.
- Competitors had stronger heat-pump and emergency-service pages.
- Perplexity cited third-party sources but did not surface the company.
- Create a substantive emergency HVAC service page.
- Correct inconsistent phone information across major profiles.
- Add verifiable licensing and service-area details near core services.
- Strengthen third-party evidence around heat-pump specialization.
- Re-test the same prompt set after the changes are indexed.
Example B: technically present, rarely recommended
This fictional example illustrates a business whose website is accessible but does not provide enough clear evidence to compete in recommendation prompts.
Residential roofing contractor
Illustrative market: Tampa, Florida
absent
Gemini absent
Perplexity third-party mention
Claude absent
The company appeared in 1 of 12 prompts and was not directly recommended.
Three firms dominated broad, emergency and metal-roof prompts.
Competitors were supported by service pages, directories and local publications.
- The homepage used broad branding without clearly defining roofing services.
- The service area was implied but not stated consistently.
- The official site and external profiles used different business names.
- There were no substantial pages for roof repair, replacement or metal roofing.
- Licensing and insurance claims were difficult to verify from the website.
- Rewrite the homepage to state the company, services and market clearly.
- Standardize the business identity across the site and trusted profiles.
- Create substantial service pages for repair, replacement and metal roofing.
- Display verifiable credentials and insurance information.
- Build legitimate local and industry citations.
What the score does—and does not—mean
The score is a structured summary of measured findings. It is not a permanent ranking, a guarantee of future recommendation inclusion or a substitute for the underlying evidence.
- Observed recommendation inclusion
- Prompt-level consistency
- Platform differences
- Competitor visibility
- Website readiness findings
- Supporting evidence quality
- Future AI responses
- Permanent placement
- Traffic or lead volume
- Revenue outcomes
- Identical answers for every user
- A direct causal explanation for every result
What a full audit can include
The purpose of the report is to connect observed AI visibility with specific evidence and practical next steps.
Recommendation, mention, citation and absence findings across the tested prompt set.
The businesses appearing instead and the public evidence supporting them.
Crawlability, indexability, service clarity, identity, authority and content gaps.
Recommended fixes ordered by practical importance rather than raw checklist volume.
The tested wording, platform, date, visible businesses and supporting sources.
A shareable report for business owners, marketers, agencies or internal teams.
Machine-readable output that preserves audit findings and supporting details.
A documented starting point that can be compared against future audits.
How to interpret an example responsibly
AI-generated recommendations are variable. One favorable answer does not establish durable visibility, and one absence does not prove that a business has been penalized.
- Use several realistic customer prompts rather than one branded question.
- Preserve the exact wording and date of each test.
- Distinguish direct recommendations from mentions and citations.
- Inspect the sources supporting competitors.
- Re-test after meaningful changes using the same methodology.
For definitions, see the AI visibility glossary. For the measurement process, review the methodology.
See where your business stands
Start with the free readiness audit, or review the full audit options for recommendation testing, competitor findings and prioritized actions.