Evidence
Show the page-level proof.
Each finding should point to a visible page, missing entity signal, thin answer block, crawler issue, or competitor advantage that can be checked again.
Audit examples
AI visibility audit examples for law firms.
A useful audit does not hide behind a score. It shows where a firm is easy to verify, where competitors are clearer, and which fixes should be handled first.
Direct answer
What does a good AI visibility audit example look like?
A good AI visibility audit example ties every recommendation to evidence. It records the search or prompt pattern, the pages inspected, the competitor comparison, the answer-readiness gap, and the first fix order. The output should help a partner or practice lead decide whether the firm has a real visibility leak, not just a generic marketing problem.
What matters
Signals search engines and AI systems can use.
Comparison
Read competitors backwards.
If another firm is easier to cite, the audit should explain why: clearer service scope, stronger solicitor profile, better FAQ structure, or more consistent public facts.
Priority
Give a fix order.
The first fixes should improve crawlability, clarity, and conversion before deeper content expansion starts.
Example one: service page extraction.
A family law firm may have a divorce page that lists services but does not answer the questions buyers ask before contacting a solicitor. The audit would check whether the page explains who the service is for, what happens first, what evidence is needed, who leads the work, and why the firm is credible.
- Buyer question tested
- Current page evidence
- Competitor answer pattern
- Rewrite and schema priority
Example two: firm entity confusion.
An immigration firm may have reviews, regulator information, and strong solicitor experience, but the website may not connect those signals clearly. The audit would map firm name, trading name, regulator number, people, service pages, and public profiles into one consistent entity layer.
- Firm and trading-name consistency
- Regulator and contact clarity
- Solicitor profile prominence
- LLM-readable summary pages
Example three: competitor citation gap.
A specialist firm may be better than a competitor in real life but harder to cite online. The audit should show which competitor facts are extractable and which client-decision facts are missing from the target site.
- Comparison prompts
- Citation-ready passages
- Missing proof blocks
- Thirty-day fix order
FAQ
Questions this page should answer clearly.
What should an AI visibility audit example include?
A useful example should show the query tested, the page or competitor found, the evidence behind the finding, and the practical fix order. It should not only report a score.
Is an AI visibility audit the same as an SEO audit?
No. SEO is the search foundation. An AI visibility audit also checks whether answer engines can extract concise answers, verify the firm, and connect the right solicitor or service page to a buyer question.
Can an example audit prove future AI citations?
No. It can prove current visibility leaks and show where competitors are easier to cite. Future citations depend on crawler access, content quality, authority signals, and how answer systems change.
Why does Axonis use first-pass scans before paid audits?
The first-pass scan stops Axonis selling work where the evidence is weak. It gives the firm a small, public-evidence diagnostic before any paid audit is suggested.