Technical
Can systems access it?
The audit checks crawlability, indexability, canonicals, sitemap coverage, mobile quality, server-rendered content, robots.txt, and llms.txt.
AI visibility audit
AI visibility audit for specialist law firms.
A serious AI visibility audit is not a generic rank report. It tests whether buyers and AI systems can find, trust, compare, and cite the firm when the commercial moment happens.
Direct answer
What does an AI visibility audit check?
An AI visibility audit checks whether a law firm is visible across the full discovery path: Google search, AI Overviews, ChatGPT-style prompts, Perplexity, Claude, Bing/Copilot signals, service pages, schema, competitor pages, and enquiry paths. The purpose is to find the first leak that stops a qualified client from shortlisting the firm.
What matters
Signals search engines and AI systems can use.
Answer
Can systems extract it?
The audit checks definitions, FAQ structure, answer blocks, tables, headings, and whether the visible text actually answers buyer questions.
Commercial
Can buyers act on it?
The audit checks whether the page explains fit, proof, next steps, and why this firm should be considered over visible competitors.
Start with the buyer journey.
The audit should begin with the questions a real prospective client asks, not with a tool export. For law firms, this includes problem-led searches, comparison prompts, location plus practice-area searches, and questions about evidence, process, cost, and urgency.
- Commercial search terms
- AI comparison prompts
- Competitor shortlist prompts
- Question-led service intent
Record the visible competitors.
The most useful finding is often not that a page is missing a tag. It is that a competitor is easier to verify. An audit should name the firms appearing more often and identify the public signals that make them easier to cite.
- Named competitor comparisons
- Citation frequency by prompt
- Schema and service-page differences
- Trust and proof gaps
Turn findings into fixes.
A high-value audit ends with a sequenced roadmap. The first fixes should remove technical suppression, clarify priority pages, add structured answers, and improve the enquiry route before broader content expansion begins.
- Fix canonicals and indexing first
- Rewrite high-intent answer blocks
- Add page-specific FAQ schema
- Route each page to scan or enquiry
FAQ
Questions this page should answer clearly.
What is an AI visibility audit for a law firm?
An AI visibility audit checks whether a law firm can be found, understood, compared, and cited across search engines and AI answer systems. It covers technical SEO, answer structure, schema, entity clarity, competitor visibility, and conversion routes.
Which AI systems should a law firm audit?
A practical audit should test Google organic results, AI Overviews where visible, ChatGPT-style prompts, Perplexity, Claude, Bing/Copilot signals, and the competitor pages those systems appear to use.
What should the audit produce?
The output should be a prioritized fix list, not a vanity score. Each finding should show the affected page, the buyer question, the competitor signal, the likely commercial impact, and who should implement the fix.
Is the Axonis free scan the same as the paid audit?
No. The free scan is a short first-pass diagnostic. The paid Visibility Leak Audit is a deeper fixed-scope review with competitor comparisons, prioritized fixes, and a walkthrough.