Clients Are Asking AI for Legal Help.
Is Your Firm Being Recommended?
When someone needs a lawyer, they're increasingly asking ChatGPT or Perplexity first. AI Viz audits how your firm appears across every major AI platform — and shows you exactly what to fix.
AI is the new referral — and most firms aren't in the conversation
People facing legal issues no longer start by flipping through a directory or asking a neighbour. They open ChatGPT and type "best family lawyer near me" or "how do I find a good personal injury attorney." AI assistants respond with specific recommendations — pulling from firms that have structured authority signals like schema markup, detailed practice area content, attorney profiles, and aggregated reviews. Firms without these signals simply aren't mentioned.
The stakes are high. A single AI recommendation can replace what used to take years of word-of-mouth reputation building. And unlike Google, where you can track keyword rankings, AI visibility is opaque — most law firms have no idea whether they're being recommended or ignored. That's exactly what an AI Viz audit reveals.
What We Typically Find in Law Firm Audits
These are the five most common gaps we uncover when auditing law firms for AI visibility — each one reducing the chances of being recommended.
No Attorney or LegalService Schema
Most law firm websites lack the structured data markup that tells AI engines who you are, what you practise, and where you're located. Without Attorney or LegalService schema, AI systems have no reliable way to categorize or recommend your firm.
No FAQ Content on Practice Areas
AI engines love answering questions. Firms without FAQ sections addressing common legal questions — cost, process, timelines — miss the opportunity to be cited as a knowledgeable source when users ask exactly those questions.
No Individual Attorney Profiles
Generic "meet the team" pages without schema-structured attorney profiles mean AI has no way to associate expertise, credentials, or specializations with individual lawyers. AI engines recommend people, not just firms.
Reviews Not Aggregated in Schema
Even firms with strong Google and Avvo reviews often fail to surface them in schema markup. AI platforms rely on structured review data to assess credibility — if it's not marked up, it's not counted.
Generic "About the Firm" Content
Boilerplate firm descriptions don't give AI engines the specific, authoritative content they need to recommend you for particular legal matters. Practice area pages need depth, specificity, and structured signals to compete.
What an AI Viz Audit Includes for Law Firms
Every audit is tailored to your practice area and tested across five major AI platforms — delivered within 24 hours.
AI Platform Visibility Testing
We test 30+ legal-specific prompts across ChatGPT, Perplexity, Gemini, Copilot, and Claude. You see exactly which prompts surface your firm, which surface competitors, and which return no local results at all.
Schema & Structured Data Review
We audit your website for Attorney, LegalService, LocalBusiness, and AggregateRating schema. Every gap is documented with specific implementation instructions your developer can act on immediately.
Content Authority Analysis
We evaluate your practice area pages, attorney bios, and FAQ content against what AI engines need to confidently recommend a legal professional. You get a prioritized content plan with specific page recommendations.
Competitive Benchmark Report
We show you how competing law firms in your market appear in AI results. You'll see exactly what they're doing that you aren't — and where your opportunity to capture AI-referred clients is greatest.
Real Questions Legal Clients Ask AI
These are the kinds of prompts we test when auditing law firm visibility. Each one is a potential referral your firm could be winning.
Find Out If AI Is Recommending Your Firm
We'll test your law firm across ChatGPT, Perplexity, Gemini, Copilot, and Claude — and show you exactly where you stand and how to improve. Delivered within 24 hours.