How AI recommends
law firms
When someone asks ChatGPT "Which solicitor can help me with an employment dispute?", the platform runs through a selection process that is fundamentally different from Google's rankings. AI weighs specialisation more heavily than brand recognition, source credibility more than backlinks and demonstrable expertise more than keyword density. 56% of law firms are investing more in AI-related tools in 2026. But most still do not understand how the selection mechanism works. This article breaks down the full process: from the sources AI consults to the criteria that determine which firm gets recommended and which gets overlooked.
56%
of law firms investing more in AI tools
11%
source overlap between Google and AI results
71%
of AI-cited pages use schema markup
3-5
firms typically mentioned per AI response
How AI selects which law firms to recommend
When a user asks an AI platform to recommend a solicitor, the platform does not simply search a database and return the closest match. It runs through a multi-step process that combines source retrieval, credibility assessment, specialisation matching and response generation. Understanding each step reveals exactly where your firm needs to be present and what signals you need to strengthen.
Step 1: Source retrieval
The first thing AI does is gather relevant sources. ChatGPT uses a combination of its training data (text from across the internet, including law firm websites, legal directories, forums and review sites) and live web search results via Bing. Gemini draws from Google's index, Google Business Profile data and Google Maps. Perplexity performs real-time web searches and always cites its sources. Claude relies primarily on its training data, which emphasises authoritative sources.
For law firms, this means your firm needs to appear across multiple source types. A website alone is not enough. You need presence on the Law Society directory, the SRA register, Google Business Profile, review platforms and ideally legal publications or directories like the Legal 500. The more sources that mention your firm consistently, the more material AI has to draw from when generating its response. Read more about this process in our article on how AI selects its sources.
Step 2: Credibility assessment
Once AI has gathered sources, it assesses their credibility. This is where E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) becomes critical for legal services. AI evaluates whether a source demonstrates genuine expertise in the relevant legal area. A solicitor who has published detailed articles about employment tribunal procedures, with specific references to case law and practical guidance, scores higher on expertise than one whose website simply lists "employment law" as a practice area.
Trustworthiness is assessed through external validation. Reviews on Google and Trustpilot, a listing on the SRA register, mentions in legal publications and consistent information across multiple platforms all contribute to trust scores. AI is particularly cautious with legal recommendations because incorrect legal advice can have serious consequences. It therefore applies a higher trust threshold for legal queries than for, say, restaurant recommendations.
Step 3: Specialisation matching
AI matches the user's specific query to the firm's demonstrable specialisations. If someone asks for a "conveyancing solicitor in Bristol", AI looks for firms that explicitly offer conveyancing services in Bristol. A general practice firm with a brief mention of conveyancing on its website is less likely to be recommended than a firm with a dedicated conveyancing page that covers the process, typical costs and Bristol-specific considerations. The more precisely your content matches the user's query, the higher your chances of being selected.
What each AI platform prioritises for legal recommendations
ChatGPT: training data plus live search
ChatGPT combines its training data with live web search via Bing. For law firms, this means your website content, review profiles and directory listings all feed into ChatGPT's recommendations. ChatGPT tends to favour firms with strong review profiles and comprehensive website content. It often mentions specific client feedback themes ("reviewers praise their responsiveness" or "clients highlight their clear fee structure"). A firm with 100+ Google reviews and detailed practice area pages has a significant advantage.
ChatGPT's responses vary between sessions. Ask the same question five times and you might get slightly different firm recommendations. This variability means that being consistently recommended requires strong signals across multiple dimensions, not just one standout feature. A firm that excels in reviews but has a thin website might appear in some responses but not others. Consistency across all signals is what separates firms that are always mentioned from those that appear sporadically.
Gemini: Google ecosystem advantage
Gemini has direct access to Google's index, Google Business Profile data and Google Maps. For solicitors, this makes Google Business Profile the single most important signal for Gemini visibility. A complete profile with accurate practice areas, photos, opening hours, service descriptions and strong reviews gives you a head start on Gemini. Gemini also shows Google AI Overviews in regular search, which means your content can appear at the top of Google search results as an AI-generated summary. Firms with well-structured FAQ content are most likely to be featured in these overviews.
Perplexity: source citations with links
Perplexity is unique among AI platforms because it always cites its sources with clickable links. When it recommends a law firm, it links back to the source where it found the information. This means Perplexity can drive direct traffic to your website, unlike ChatGPT which rarely provides links. For law firms, Perplexity favours recent, detailed content from authoritative sources. A recent blog post about "changes to employment law in 2026" is more likely to be cited than a static practice area page that has not been updated in years. Perplexity is particularly used by professionals researching legal options, making it a high-value platform for firms targeting business clients.
Claude: authority and depth
Claude from Anthropic is increasingly used by professionals in law and finance for research. It tends to recommend firms based on demonstrable expertise rather than volume of reviews. A firm that publishes in-depth legal guides, contributes to legal publications and has strong credentials (Law Society accreditations, specialist panels) performs well on Claude. It is a particularly important platform for firms targeting professional and corporate clients who use Claude as a research tool.
Google AI Overviews: built into search
AI Overviews appear at the top of Google search results for 75% of legal queries. They summarise the answer and often name specific firms. Being cited in an AI Overview is the new "position zero" for solicitors. It requires well-structured content with clear answers to specific questions. FAQ pages with concrete information (costs, timelines, processes) are the most effective content type for AI Overview citations. Our guide on how AI assembles its answers explains the full process.
Does AI recommend your law firm?
VestVale monitors your firm's visibility across ChatGPT, Gemini, Claude and Google AI. See which competitors get recommended and where your gaps are.
Seven factors that determine whether AI recommends your firm
1. SRA and Law Society verification
AI treats the SRA register and Law Society directory as primary verification sources for solicitors. A firm listed on these directories with complete, current information has an automatic credibility advantage. AI checks whether the firm is genuinely regulated and practising. If your SRA profile is incomplete or outdated, you are missing a foundational signal. Make sure your SRA record includes current practice areas, office addresses and authorised persons.
2. Review volume, recency and sentiment
Reviews are the strongest external trust signal for AI. The three dimensions that matter are volume (how many reviews you have), recency (when they were posted) and sentiment (what they say). A firm with 50 reviews averaging 4.6 stars, with 10 reviews from the past three months, is far more likely to be recommended than a firm with 200 reviews averaging 4.8 stars but none posted in the past year. AI platforms interpret recent reviews as a sign that a firm is active and current. Combine Google Reviews with Trustpilot for the strongest signal combination in the UK market.
3. Practice area depth
A dedicated page for each practice area, with detailed information about the types of matters you handle, your approach and your experience, is far more effective than a generic list of practice areas. AI matches user queries to specific content. "Employment solicitor" matches better to a 2,000-word employment law page covering unfair dismissal, redundancy, settlement agreements and tribunal procedure than to a bullet point on an "Our Services" page. Depth signals expertise.
4. Geographic specificity
Most legal queries include a location: "solicitor in Manchester", "conveyancing solicitor Leeds", "family lawyer near Birmingham". Your content needs to include clear geographic signals. Mention your office locations, the areas you serve and local landmarks or jurisdictions where relevant. A firm whose website mentions "We serve clients across West Yorkshire, including Leeds, Bradford, Wakefield and Huddersfield" gives AI clear geographic matching data. Without location signals, AI cannot match you to location-specific queries, which make up the majority of legal searches.
5. Fee transparency
AI platforms strongly favour content with concrete, specific information. Publishing your fees is one of the most effective things a solicitor can do for AI visibility. "Conveyancing from £950 plus VAT" is a citable figure that AI can include in its response. "Contact us for a quote" gives AI nothing to work with. The SRA already encourages transparency in pricing. For AI visibility, it is not just encouraged, it is essential. Firms that publish clear fee information are cited significantly more often than those that do not.
6. Structured data and schema markup
Schema markup tells AI exactly what your firm does in a machine-readable format. Use LegalService schema for practice areas, LocalBusiness for firm details, FAQPage for FAQ sections and Attorney for individual solicitor profiles. 71% of pages cited by ChatGPT use schema markup. For solicitors, relevant schema types include practice area, geographic service area, review ratings and accreditations. This is the technical foundation that makes all your other signals readable to AI. Without it, AI has to infer what your firm does from unstructured text. With it, AI knows precisely. See our detailed guide on why structured data matters for AI.
7. Third-party authority signals
Beyond reviews and directories, AI looks at broader authority signals. Mentions in legal publications (Law Gazette, Legal Cheek, local legal press), rankings in the Legal 500 or Chambers and Partners, accreditations (Lexcel, CQS, specialist panels) and contributions to professional forums all strengthen your authority profile. For high street firms, local authority signals matter too: mentions in local newspapers, local business directories and community forums. Each independent mention is a signal that helps AI build confidence in recommending your firm. Learn more about how AI evaluates authority in our guide on why AI mentions some businesses.
Why most law firms are invisible in AI
Generic website content. Many law firm websites read like brochures: general descriptions of practice areas, partner biographies and a contact form. This content is too generic for AI to cite. AI needs specific, factual, structured content. "We handle employment law matters" tells AI nothing it can use. "We have represented over 200 clients in employment tribunal proceedings in West Yorkshire, specialising in unfair dismissal, redundancy and discrimination claims" gives AI concrete information to work with.
No review profile. A surprising number of established law firms have no Google Reviews or Trustpilot presence. They rely on word-of-mouth referrals and assume their reputation speaks for itself. For AI, reputation without documented reviews is invisible. AI cannot recommend a firm it has no external validation for, regardless of how good the firm actually is. If you have satisfied clients, ask them to leave reviews. Most are willing. They simply need to be asked.
Outdated Law Society listing. Many solicitors set up their Law Society profile during admission and never update it. A profile that lists "general practice" or has an old address provides weak signals to AI. Update your listing with current practice areas, office locations and specialisations. This is a 15-minute task that can meaningfully improve your AI visibility.
No structured data. Most law firm websites lack schema markup entirely. They rely on Google understanding their content from the text alone. This worked for traditional SEO. For AI visibility, it is a significant handicap. Adding LegalService, LocalBusiness and FAQPage schema to your website is a one-time technical task that dramatically improves how AI understands and recommends your firm.
Inconsistent firm name across platforms. "Smith and Jones LLP" on your website, "Smith & Jones Solicitors" on Google, "S&J Legal" on Trustpilot. For AI, these look like three different businesses. AI relies on consistent NAP (name, address, phone) information across platforms to connect all your signals into one identity. Pick one firm name and use it everywhere.
No monitoring. Most law firms have never checked whether AI mentions them. They do not know if ChatGPT recommends a competitor when someone asks for a solicitor in their area. Without monitoring, every improvement is guesswork. Set up systematic monitoring to track your mention rate, competitor visibility and sentiment across all major AI platforms. Our guide on how businesses can monitor AI explains the process.
Frequently asked questions
Do larger firms automatically get recommended more?
Not necessarily. AI prioritises relevance and credibility over size. A two-partner firm with strong reviews, detailed practice area pages and a complete directory presence can outperform a 50-partner firm with a generic website and no reviews. Local firms often have an advantage for location-specific queries because their content is more geographically focused.
Does advertising on Google help with AI visibility?
No. Google Ads do not influence AI recommendations. AI visibility is entirely organic. You cannot pay to appear in ChatGPT or Gemini's recommendations. The only way to improve your AI visibility is by strengthening the signals AI uses: reviews, content, structured data, directory presence and authority.
How many reviews does my firm need?
There is no magic number, but research suggests that firms with 30+ Google reviews and a 4.5+ average rating have significantly better AI visibility than those with fewer. More important than total count is recency. Aim for at least 3-5 new reviews per month to signal that your firm is active and current.
Will AI replace the need for solicitors?
AI is not replacing solicitors. It is replacing the process of finding solicitors. People still need professional legal advice. They are just changing how they find the solicitor to provide it. AI is becoming the new front door to legal services. If your firm is visible through that door, you gain clients. If not, those clients go to a competitor.
Can I influence what AI says about my firm?
You cannot directly control AI responses, but you can influence them by strengthening the source material AI draws from. Improve your reviews, publish detailed content, ensure your directory listings are complete and add structured data. Over time, AI will incorporate these stronger signals into its recommendations. The process is similar to how you influence Google rankings through SEO.
Should barristers also worry about AI visibility?
Barristers who accept direct access instructions (public access barristers) should consider AI visibility. Clients searching for "direct access barrister for employment case" are a growing segment. For barristers who work through solicitor referrals, AI visibility is less immediately critical, but Claude and Perplexity are increasingly used by solicitors to research counsel options.
Get your law firm recommended by AI
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