How Potential Clients Find Lawyers on AI Assistants (And Why Most Firms Don't Appear)
Picture a potential client in your city. They were just in a car accident. Or they got a call from HR. Or they're going through a divorce. Whatever the situation, they need a lawyer — and they've never hired one before.
They don't open Avvo. They don't type "personal injury attorney near me" into Google. They open ChatGPT and type: "I was hit by a car in Atlanta — what kind of lawyer do I need and who should I call?"
ChatGPT tells them what kind of attorney to look for. And then it gives them two or three specific firm names.
If your firm isn't in that answer, you were never considered. The client didn't compare you to the firms that were recommended and find them more compelling. You were simply absent from their decision entirely.
This is how a growing share of potential clients find attorneys today — and why Avvo ratings and Google page-one rankings are no longer sufficient on their own.
Why This Is a Particularly Acute Problem for Law Firms
Legal services have always been a high-consideration, high-stakes purchase. People hire attorneys during some of the worst moments of their lives. They want confidence and reassurance. They want to feel like they found the right person, not just a person.
AI assistants are filling that role in a way that traditional search never quite could. When someone asks ChatGPT "who should I call for an employment discrimination case in Chicago," they get a conversational recommendation that feels personal and authoritative — not a directory of 47 law firms to sort through.
The challenge: AI platforms form those recommendations based on signals that most law firms haven't built.
The Queries Your Potential Clients Are Running Right Now
Across ChatGPT, Perplexity, Gemini, and Claude, people in legal situations are asking:
- "Best personal injury attorney in [city]"
- "Employment lawyer for wrongful termination near me"
- "Divorce attorney in [city] for complex asset cases"
- "Who handles DUI defense in [city]"
- "Estate planning attorney for small business owner near me"
- "Slip and fall lawyer who works on contingency in [city]"
- "Immigration attorney specializing in asylum near me"
- "Best medical malpractice firm in [state]"
Each of these returns a direct recommendation — typically two to four firm names — with no results page to compare alternatives. The AI has already decided. The potential client often acts on that recommendation without searching further.
If you're not in the answer, you didn't finish second. You weren't there.
How AI Recommendations Are Formed — And Why They Differ From Google
This is the core insight that most law firm marketing consultants haven't caught up to yet: Google ranking and AI visibility require different inputs.
Google decides which websites to show based on your site's technical health, keyword optimization, backlink authority, and Google Business Profile. It's a document-ranking system.
AI assistants like ChatGPT don't rank websites. They form an opinion about which attorneys are credible and relevant based on:
- Editorial legal content — practice-area guides, law review summaries, legal news articles, and local media coverage that mention specific attorneys or firms by name
- Bar association and state bar references — official bar listings with practice area designations carry high authority with AI systems
- Legal directory presence — Martindale-Hubbell, Super Lawyers, Best Lawyers, and Avvo, weighted by completeness and peer recognition
- Practice-area content — case-type specific pages on your website that connect your firm's name to specific legal situations
- Structured data — schema markup on your website identifying your practice areas, jurisdiction, and attorney credentials
Most firms have some of these. Few have built them all to the depth AI systems need to confidently recommend them.
What We Found When We Scanned Law Firm Websites
We ran AI visibility scans across 150+ law firm websites across practice areas and markets. The findings were stark.
The average AI visibility score was 17 out of 100.
Firms with page-one Google rankings, strong Avvo profiles, and active blogs were nearly invisible to AI assistants. In many local markets, smaller boutique firms with leaner marketing budgets were being recommended far more consistently — because they had built the specific signals AI platforms need.
The most common gaps across all practice areas:
- No practice-area specific pages: 77% of firms had only a single "practice areas" overview page rather than dedicated pages for each major practice area
- No structured legal data: 91% had no
LegalService,Attorney, orLawOfficeschema markup on their websites - Incomplete Super Lawyers or Best Lawyers profiles: 69% had either no listing or an incomplete listing on at least one of the two most AI-referenced legal recognition platforms
- No local editorial mentions: 84% had zero mentions in local or regional editorial content outside of directories
These are fixable gaps. Most are one-time changes.
The Five Factors That Determine Whether AI Recommends Your Firm
1. Practice-Area Specific Pages on Your Website
The most common and highest-impact gap we see is law firm websites that list "Personal Injury" as one of twelve items under a "Practice Areas" heading — with no dedicated page for that practice area.
AI assistants need to connect your firm's name to specific case types in order to recommend you for those queries. When a potential client asks "who handles trucking accident cases in Dallas," AI systems look for content that explicitly connects an attorney to that specific case type.
Each major practice area — and, ideally, each major case type within a practice area — should have a dedicated page on your website. Not a bullet point. A substantive page (600–1,000 words) that describes the type of case, your approach, what clients can expect, your relevant experience, and why your firm handles these matters well.
This is the single highest-impact change most law firms can make. Build these pages and you directly enable AI recommendations for the specific case queries your best clients are asking.
2. State Bar Profile Completeness
Bar association listings are treated as high-authority sources by AI systems — they represent official, verified records of attorney credentials, practice areas, and standing. Incomplete or stale bar profiles suppress AI visibility.
Your state bar profile (and any specialty bars — your state's trial lawyers association, family law academy, criminal defense bar, etc.) should be fully completed with:
- All current practice areas listed
- Current firm affiliation and contact information
- Any certifications or specialty designations
- Peer review or recognition data
This is particularly important in states where the bar association publishes lawyer finders with detailed practice area filtering. These pages are frequently crawled and cited by AI systems.
3. Legal Recognition Platform Presence
Super Lawyers, Best Lawyers in America, Martindale-Hubbell AV Rating, and Chambers USA carry significant weight with AI systems because they represent peer-based editorial validation — a fundamentally different signal than a client review or a directory listing.
Even if you haven't received a formal designation, ensuring your Martindale-Hubbell profile is claimed and complete is high-leverage. Pursuing Super Lawyers or Best Lawyers nomination is a longer-term investment but one that compounds significantly — AI platforms consistently reference these recognitions in attorney recommendations.
For younger attorneys, Super Lawyers Rising Stars is highly accessible and carries comparable AI weight in local market recommendations.
4. Local Editorial Mentions in Legal or News Content
When a local newspaper quotes you as a legal expert, when a business publication includes your firm in a "top attorneys" feature, or when a legal publication covers a case your firm handled — these editorial citations carry disproportionate weight with AI models.
The mechanism: AI systems treat editorial mentions differently from directory listings because they represent a deliberate third-party decision to associate your name with a legal specialty. They signal that humans with editorial judgment considered you credible enough to reference.
These mentions are more accessible than most attorneys assume. Local and regional publications regularly compile "best attorneys" or "legal experts to know" features and often accept nominations or submissions. Offering to comment as a legal source for local news stories is another reliable path. Contributing a column on a legal topic to a local business publication or bar association blog earns both editorial visibility and AI citation authority.
5. Legal Schema on Your Website
Schema markup is structured data that tells AI systems — directly, without inference — what your firm does, where you practice, what cases you handle, and who you are.
The relevant schema types for law firms:
Attorney— the person-level schema for individual attorneysLawOffice— the firm/organization schemaLegalService— links to specific practice area pages
Most law firm websites built by web agencies — including legal-specific ones — don't implement legal schema beyond a basic LocalBusiness type. Correct schema means AI platforms can read your firm's practice areas, jurisdiction, and attorney credentials in structured form, rather than inferring them from page content.
This is a developer task that takes a few hours. If your current web vendor doesn't know what LegalService schema is, that's informative about the quality of your current digital marketing setup.
A Real Example: Strong Google Presence, Zero AI Visibility
A personal injury firm in a mid-size market. Ranking #2 on Google for "personal injury attorney [city]." Strong Avvo profile with 40+ reviews. Consistent blog. Active Google Business Profile.
When we ran AI visibility testing with 10 common client queries across ChatGPT, Claude, Gemini, and Perplexity:
- Appeared in 0 of 10 queries across all platforms
- AI visibility score: 11 out of 100
A competing firm — smaller, lower Google ranking, fewer Avvo reviews — appeared in 7 of 10 queries and scored 54. The difference: the competitor had dedicated pages for motor vehicle accidents, truck accidents, motorcycle accidents, and premises liability; a complete Martindale-Hubbell AV rating; a recent mention in a local legal publication; and attorney schema on their website.
The firm paying for SEO had built none of these. They were invisible to every AI-referred client in their market — and had no way to know it.
How to Fix Your Firm's AI Visibility: A Prioritized Plan
Before diving in, check your firm's current AI visibility score at RankCommander — it takes 60 seconds and shows you exactly which gaps apply to your firm specifically.
Week 1–2: Audit your state bar and specialty bar profiles
Review your listing on your state bar's attorney finder. Ensure your practice areas are current, your contact information matches your website exactly, and any certifications or specialty designations are listed. Do the same for any specialty bar associations you belong to.
Week 2–4: Build practice-area specific pages
Identify your three to five primary case types. For each, create or significantly expand a dedicated page. Each page should describe the case type clearly, explain your approach and experience, answer the most common client questions, and include a clear call to action. This content investment is the highest-leverage change most firms can make.
Month 1–2: Claim and complete legal recognition profiles
If you haven't already, claim your Martindale-Hubbell profile and complete it fully. Submit for Super Lawyers or Best Lawyers if you meet the criteria. Even uncertified attorney profiles on these platforms, when complete, increase AI recommendation rates.
Month 1–3: Pursue editorial mentions
Make a list of local publications, business journals, and legal publications. Reach out to any that publish attorney features or accept expert commentary. Offer to be a source for legal stories relevant to your practice area. Submit to "top attorneys" features. Each editorial mention compounds.
Month 2–3: Implement legal schema
Have your web developer add Attorney, LawOffice, and LegalService schema to your site. This is a few hours of developer work with significant AI visibility upside.
Tracking Your Progress
AI visibility isn't visible in standard web analytics or SEO dashboards. You need to specifically test your firm against the queries your potential clients are asking.
RankCommander's free firm scan shows your AI visibility score across ChatGPT, Claude, Gemini, and Perplexity, the specific queries where competing firms are being recommended instead of yours, and where you stand relative to other firms in your practice area.
The firms that start building these signals today will have a durable advantage in their local market 12 months from now. Most of your local competitors haven't started yet.
Check your firm's AI visibility score — free, no account required →
Frequently Asked Questions
Do potential clients actually use ChatGPT to find an attorney?
Yes, and the volume is growing rapidly. ChatGPT crossed 400 million weekly active users in early 2026. Legal queries are among the most common use cases. People facing legal situations often feel overwhelmed and unfamiliar with the legal system — AI assistants give them a direct, conversational answer rather than a directory to navigate. This is particularly common for personal injury, employment law, family law, and estate planning searches.
My firm has a strong Avvo profile and ranks on Google. Why doesn't that help with AI?
Because Avvo and Google are different systems from AI. Avvo is a directory that Google indexes well. AI assistants form attorney recommendations based on how consistently your name appears across editorial legal sources, bar association references, practice-area guides, and structured data — not based on directory ratings or Google rankings. A firm can dominate Google and Avvo and be completely absent from AI responses in their market.
How long does it take to see results?
Firms that implement the key structural changes — practice-area content, bar profile completeness, local editorial presence, and structured data — typically see measurable AI visibility improvement within 60 to 90 days. Full competitive repositioning usually takes three to six months of consistent execution. These changes are largely one-time investments that compound over time.
RankCommander scores law firms 0–100 across ChatGPT, Claude, Gemini, and Perplexity. Free scan — no account required. Results in under 60 seconds.