How to Get Your Law Firm Mentioned in ChatGPT

The Short Answer

To get your law firm mentioned in ChatGPT, you make your firm visible in the sources ChatGPT and its competitors actually read when they answer "find me a lawyer" questions: a handful of legal directories (Super Lawyers and Justia above all), your Google presence, review text, Reddit threads, and answer-shaped pages on your own site. Then you keep your firm's name, address, and practice areas identical everywhere, and you re-test the engines monthly. That is the whole playbook. The rest of this post is the specifics, with the citation data that tells you where to spend your time, a source-by-source breakdown of what ChatGPT, Perplexity, and Google AI Overviews each cite, and a measurement protocol you can run in an hour a month.

If you want the concept first, why AI engines recommend some firms and not others, read our explainer on how GEO works for law firms. This post is the implementation checklist that goes with it.

First, Know What You Are Competing For

Citorian's five-engine study of personal injury queries (June 2026, 359 logged answers across five metros) found that AI engines named at least one specific firm in 62% of answers. Phrasing mattered enormously: commercial prompts like "best personal injury lawyer in [city]" produced a named firm 94% of the time, while situational prompts like "I was in a car accident, who do I call" produced a name only 18% of the time.

Two more findings from the same study should shape your plan:

• The engines agree with each other. All ten of the most-named firms were named by all five engines. AI visibility is one shared contest, not five separate ones. Win the underlying sources and you win everywhere at once.
• Ad spend does not buy mentions. Morgan & Morgan, the largest national personal injury advertiser, was named in only a handful of answers. The engines are reading third-party sources, not ad budgets.

Step 1: Audit Your Current AI Visibility

Open ChatGPT, Perplexity, and Gemini and type these prompts, substituting your practice area and city:

1. "Best [practice area] lawyer in [city]"
2. "Who are the top-rated [practice area] attorneys in [city]?"
3. "Recommend a [practice area] law firm near [neighborhood or suburb]"
4. "[Common client situation]. Do I need a lawyer, and who should I call in [city]?"

Record three things for each answer: whether your firm was named, which firms were named, and which sources were cited. Those cited sources are your target list. You are not guessing at what the engines read; they are telling you.

Step 2: Fix Entity Consistency

AI engines assemble their picture of your firm from many sources. If your firm name, address, phone number, and practice areas differ across your website, your Google Business Profile, your state bar listing, and your directory profiles, the engines see several weak entities instead of one strong one. Pick one canonical version of everything, including whether you use "PLLC" and how you abbreviate your street, and correct every listing to match. It is tedious and it is foundational.

Step 3: Claim the Directories That Actually Get Cited

This is where the citation data saves you real money. In Citorian's study, the share of answers citing each source (counting the four engines that show their links) was: Super Lawyers 33%, Justia 20%, Google 12%, Reddit 8%, and Avvo only 5%. Reddit outranked Avvo, and Reddit and YouTube both outranked Yelp.

So prioritize in this order: complete, detailed profiles on Super Lawyers and Justia first, then your Google Business Profile (see our 20-minute GBP setup guide), then Avvo as a secondary. If a directory salesperson is pitching you an upgraded Yelp package for AI visibility, the data says spend that money elsewhere.

Which Directories and Sources Do AI Engines Actually Cite for Lawyers?

Several independent datasets now answer this question, and they agree on the shape even where the percentages differ. Here is what each one says, with the methodology, so you can weigh it yourself.

Legal-specific citation studies

• Citorian, June 2026. 359 answers logged across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews in five metros. Gemini hides its source links, so Citorian's source analysis covers the other four engines. Share of answers citing each source: Super Lawyers 33%, Justia 20%, Google 12%, Reddit 8%, Avvo 5%. The two big directories were cited far more than any other source. Citorian's companion study of which personal injury lawyers AI recommends is the source of the 359-answer count and the 62% and 94% figures above.
• 5WPR and Haute Lawyer, 2026 Legal AI Visibility Report. Tested legal query categories across ChatGPT, Claude, Perplexity, and Google AI Mode, and drew on an Ahrefs analysis of 146 million SERPs for how often legal queries trigger Google AI Overviews. Its headline: seven directories (Chambers, Legal 500, Super Lawyers, Best Lawyers, Martindale, Avvo, and Justia) own virtually every legal query category tested. The report does not publish per-directory percentages, and its list overlaps Citorian's only in part: Super Lawyers, Justia, Avvo, and Best Lawyers (through its Best Law Firms ranking) appear in both, while Chambers, Legal 500, and Martindale do not appear in Citorian's table of cited sources. Citorian's study tested personal injury queries only, so it could not show how those directories rank for business-law queries.

Read together: for personal injury, the only practice area Citorian tested, Super Lawyers and Justia are the two profiles that matter most, well ahead of Google (12%) and every other source, including Avvo (5%). Our working assumption is that the same directories matter for other consumer practices such as family, criminal, and immigration, but no study we found tests those areas, so check it with your own prompts. The 5WPR report was published by a PR agency and a legal publication rather than an independent research body, and without per-directory numbers it can only tell you which directories to consider, not how much each one counts. For business, IP, and litigation practices that serve companies, it is reasonable to add Chambers, Legal 500, Best Lawyers, and Martindale, which the 5WPR report lists among the dominant legal directories. No study we found isolates corporate-law prompts, so confirm with your own prompt tests which of them the engines cite in your market.

Cross-industry citation studies (what the engines cite in general)

• Profound, synthesized in 5WPR's State of AI Citations 2026. A dataset of 680 million citations across ChatGPT, Google AI Overviews, and Perplexity (August 2024 to June 2025). Wikipedia accounted for 47.9% of ChatGPT's top-10 source share; Reddit accounted for about 46.7% of Perplexity's top-10 source share; and the report estimates that only 11% of domains are cited by both ChatGPT and Perplexity. The same 5WPR report cites a separate Ahrefs analysis of 15,000 queries finding that only 12% of URLs cited by AI tools overlap with Google's top-10 organic results.
• Semrush, 13-week study, July to October 2025. Weekly snapshots of the top 25 cited domains across 230,000-plus prompts and more than 100 million citations on ChatGPT search, Google AI Mode, and Perplexity. Two findings matter for lawyers. First, the engines differ sharply: Wikipedia was cited in about 2% of Google AI Mode responses and under 1% of Perplexity responses, while ChatGPT cited it far more often. Second, source mixes move fast: in a single September 2025 shift, the share of ChatGPT responses citing Reddit fell from close to 60% in early August to around 10% by mid-September, a change isolated to ChatGPT. Whatever you measure this month will not be exactly true next quarter, which is why the measurement protocol below is monthly.
• Ahrefs, March 2026. A study of 863,000 keywords and 4 million AI Overview URLs found only 37.9% of pages cited in Google AI Overviews also ranked in the top 10 for that query, down from 76% in Ahrefs' July 2025 analysis. 31.2% of cited pages ranked 11-100 and 31.0% ranked beyond 100. Ranking on page one no longer guarantees a citation, and not ranking no longer rules one out; Google's query fan-out pulls in pages that answer the sub-questions behind the search.

What the engines themselves publish

• Google. Google's Search Central documentation on AI features and your website states there are no additional requirements to appear in AI Overviews or AI Mode, that a page must be indexed and eligible to show with a snippet to be cited, and that no new machine-readable files or markup are needed. In other words, standard indexability plus content that answers the question.
• OpenAI. OpenAI's help documentation on searching the web with ChatGPT explains that ChatGPT search sometimes partners with third-party search providers, and that answers using web search can include citations, with a Sources button for viewing the cited sources. Its crawler documentation identifies OAI-SearchBot as the crawler used for search results (not model training) and tells site owners to make sure robots.txt is not blocking it. Check yours; some security plugins block unknown bots by default.
• Perplexity. Perplexity's help center article "How does Perplexity work?" describes real-time web search with numbered citations attached to each answer so users can verify the sources. Perplexity's crawler is PerplexityBot; the same robots.txt check applies.

How to read all of this for a law firm. The legal-specific studies tell you where to have a profile. The cross-industry studies tell you that the engines weight community and reference sources heavily and disagree with each other about which ones. The engines' own documentation tells you the minimum technical bar: indexable pages, crawlers not blocked, content that directly answers the question. None of the three is sufficient alone. Together they are the whole strategy.

How ChatGPT, Perplexity, and Google AI Overviews Differ

Because only about 11% of domains are cited by both ChatGPT and Perplexity in the 5WPR estimate above, treating "AI visibility" as one channel is a mistake. Here is how to think about each, as of September 2026.

ChatGPT

Reference-heavy. Wikipedia and established directory-style sources carry outsized weight, and ChatGPT's mix showed the sharpest shifts of the three in Semrush's 2025 tracking. For a law firm: the directory profiles (Super Lawyers, Justia, Avvo, and for business practices, whichever of the 5WPR report's directories, such as Chambers or Best Lawyers, your own prompt tests show being cited), a consistent entity across the web, and an unblocked OAI-SearchBot. Your own site gets cited for the informational questions it answers directly, which is why answer-shaped pages matter.

Perplexity

Community-heavy. Reddit was nearly half of Perplexity's top-10 source share in the Profound data, and Perplexity cites several sources per answer with visible numbers. For a law firm: honest participation in your state's legal subreddits (disclosed affiliation, real answers, no pitch), review text that names case types, and pages with a clearly dated last-updated line, because the Ahrefs freshness data in Step 4 found AI assistants as a group cite fresher pages than organic search. The Perplexity-specific evidence is mixed: in that data Perplexity's citations skewed older than most other assistants', though it appeared to list newer sources ahead of older ones. A visible date is cheap either way. Perplexity is also where "how do I get my law firm into Perplexity recommendations" tends to be answered by the directories first, so the Step 3 profiles do double duty.

Google AI Overviews and AI Mode

Index-driven, but no longer rank-driven. Google's own documentation says the requirement is being indexed and snippet-eligible, and Ahrefs' data shows that most cited pages are not in the top 10. Semrush's tracking of more than 10 million keywords found AI Overviews appeared on 6.49% of queries in January 2025, 24.61% at the July 2025 peak, and 15.69% by November 2025, and that Law & Government was among the categories with the largest increase in coverage. For a law firm: the same practice, location, and question pages that drive organic search, written so that a single passage answers a single sub-question, plus your Google Business Profile, which feeds AI Mode's local answers directly. Google's documentation also says you can limit what these features show with the existing nosnippet and max-snippet controls, so check that a security plugin or an old SEO setting has not applied them to your practice pages.

Step 4: Publish Answer-Shaped Pages With Real Numbers

The Princeton GEO paper (Aggarwal et al., KDD 2024) tested what makes content more likely to be surfaced by generative engines across roughly 10,000 queries. Adding statistics, quotations, and source citations produced relative improvements of roughly 30-40% on the paper's word-count visibility metric and 15-30% on its subjective-impression metric. Specificity is not a style preference; it is a measured citation driver. The paper's abstract puts the ceiling at up to 40% higher visibility in generative engine responses from these content-side changes alone.

For a law firm, that means pages that answer one question completely and include the numbers most firms hide: real fee ranges, typical timelines in your state, actual process steps. "How much does a DUI lawyer cost in Ohio" answered with a dollar range beats a page of throat-clearing every time. This is the same discipline as answer engine optimization, and it does double duty: the pages get quoted for informational questions, and they teach the engines what your firm is an authority on.

Freshness matters too. An Ahrefs analysis of about 17 million AI citations found that pages cited by AI assistants were about 25.7% fresher on average than pages in organic search results. A visible "last updated" date and a real annual refresh are cheap wins.

Step 5: Get Third-Party Corroboration, Including Reddit

Engines trust what multiple independent sources agree on. Profound's analysis of 680 million AI citations (ChatGPT, Google AI Overviews, and Perplexity, August 2024 to June 2025) found Wikipedia alone accounts for 7.8% of ChatGPT's total citations, and Reddit makes up about 46.7% of Perplexity's top-10 source share. Community and reference sources carry weight that firm websites do not.

For Reddit, do this ethically or not at all. Astroturfing gets detected and burned. What works: a named partner answering legal questions in your state's subreddit with genuinely useful information, disclosed affiliation, and no pitch. Over months, that builds exactly the kind of third-party trail engines read. Beyond Reddit: local press coverage, bar association features, "best of" lists with editorial standards, and reviews whose text describes actual case types.

One directory note, because firms ask: you cannot buy your way into Super Lawyers. Its published selection process states that self-nominations are not accepted, selection is limited to about 5% of lawyers in each state (2.5% for Rising Stars), and the same page quotes a Special Master's opinion finding no "requirement for the purchase of any product for inclusion in the lists." What you can do is make sure peers know your work and that your profile is complete if you are selected. Justia, by contrast, offers a free profile any licensed lawyer can claim and complete, with practice areas, fees, education, and office locations. There is no excuse for an incomplete Justia profile given how often it is cited.

Step 6: Measure Monthly (The Protocol)

AI source mixes shift fast, so treat this like rank tracking: you are watching a trend, not a single snapshot. Here is a protocol that takes about an hour a month and produces numbers you can act on.

1. Fix the prompt set. Use the four prompts from Step 1, times your two or three most important practice areas, times your primary city and one suburb. That is 16-24 prompts. Write them down and do not change them; consistency is the whole point.
2. Run each prompt in four engines. ChatGPT (with search on), Perplexity, Google AI Mode, and a normal Google search to capture any AI Overview. Use a logged-out or fresh session where possible so personalization does not skew results.
3. Log four fields per answer. Was your firm named (yes/no). Which firms were named, in order. Which sources were cited (domain level). The date. A spreadsheet with one row per prompt per engine is enough.
4. Compute three numbers. Mention rate: answers naming your firm divided by total answers. Source share: the percentage of all citations by domain, which tells you which profiles to reinforce. Competitor set: the firms named most often, which tells you whose sources to study.
5. Act on the source share. If Justia is cited in 20% of the answers for your city and your Justia profile is half complete, that is the month's task. If Reddit shows up and you have no presence, that is next month's.
6. Review quarterly, not weekly. Expect movement in one to two quarters, not weeks. Judge the trend across three monthly runs before changing strategy, because single-month swings like the September 2025 ChatGPT shift in the Semrush data are noise until they persist.

If you want tooling instead of a spreadsheet, several AI visibility trackers exist, but the spreadsheet version costs nothing and forces you to read the answers, which is where most of the insight is.

What This Costs If You Do Not Want to Run It Yourself

Everything above is doable in-house if someone owns it. If nobody does, this playbook is built into our law firm SEO and AI visibility rebuild: $4,900 fixed, $2,450 to start, no retainer. Entity cleanup, directory strategy, answer-shaped pages, and the monthly measurement framework, done once and done right. For what the alternatives cost, see how much law firm SEO costs.