For Personal Injury Lawyers

The engines read your site all week. Then they recommend someone else.

Someone gets rear-ended and asks ChatGPT who to call. It answers with three or four firm names, assembled from signals most firms have never audited. In the PI markets we measure, AI answers run two tiers: a short main list absorbed into nearly every answer, and a larger cohort that gets retrieved, read, and footnoted — but never named where it counts. We measure which tier you're in, per engine, and hand you the specific fixes.

Vertical Personal injuryCoverage 6 enginesBuilt for bar advertising rules

FIX is $795 once. GROW is $395/month with a three-month commitment ($1,185 total), billed monthly. Both include a baseline; GROW does not require FIX first. We prepare the edits; your team publishes. Compare the deliverables →

The two-tier finding

In one metro PI market we measured across four AI surfaces, the pattern was unambiguous. When a main-list firm's site was cited on a money question, that firm appeared in the answer's recommendations at close to 100%. When a tail-cohort firm's site was cited — one firm's 38 times in a single window — the firm never cracked the main recommendation list. It shows up as an honorable mention, a map card, a per-firm breakdown entry. Visible everywhere, chosen nowhere. And here's the part that stings: several of those locked-out firms were actively investing in their websites the whole time. Effort without absorption is the default state of this vertical.

What separates the tiers (from our panels)

SignalMain-list firmsTail-locked firms
Review volumeThousands — an order of magnitude higherDozens to hundreds
Best-of / directory layerPresent in the city best-of lists the engines cite (one such page: cited 17× in one answer set)Thin or absent
Published resultsVerdicts plus the corroborating stackVerdicts alone — we measured eight-figure verdict tables that still never bought a main-list seat
Credential routeBoard certification published in extractable, corroborated form — on reasoning engines this alone earns namingsCertifications held but buried, or corroborated nowhere off-site

Two findings worth sitting with. First, the reasoning engines now treat board certification as a filter — we've watched answers open by explaining the certification, then recommend only certified firms, citing the state registry. A certification you hold but don't publish in liftable form is, to these systems, a certification you don't have. Second, technical hygiene can silently lock you out: we've measured a firm whose robots.txt blocked its own location pages from every crawler — including the ones that write these answers.

Built for bar advertising rules

Attorney advertising is regulated, and AI-generated marketing doesn't get an exemption. Every page we draft goes through a documented approval gate — you approve every word before it publishes, with a per-page log of who approved and when, a versioned archive, and drafting checks that flag outcome guarantees, specialization claims your state bar restricts, and testimonial rules. We never take your site credentials; your team publishes. This isn't legal advice, and your compliance review stays yours — the gate exists so that review has something to sign.

The branded check nobody runs

Ask an engine directly whether your firm is reputable and you'll usually get a sourced, specific answer — built from your bar profile, your reviews, your site, and whatever else it finds. We've measured branded answers that surfaced stale rosters and unverifiable claims alongside the accurate material. You don't get to pick which version a claimant sees. Measuring it is the only way to know.

How we measure

Six surfaces, every money question run repeatedly, every run on file. Read the method →

See your firm's numbers

A free report on your real claimant questions, in 48 hours. Get your report →

A sample for your category

See the sample report format and the relevant field study. The sample is illustrative; your report measures your own market.

Common questions

Does AI recommend personal injury lawyers by name?
Yes, and it does so with unusual confidence. In our PI panels the engines name specific firms on questions like "who should I call after a crash," and they editorialise more than in any other vertical we measure — warning about case-manager handoffs at high-volume firms, and pointing users to the state bar's certification lookup and disciplinary search rather than taking a firm's website at its word.
Which AI engines do you check for personal injury firms?
All six we measure for everyone: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and Google AI Mode. For PI we pay particular attention to the two-tier structure our panels keep finding: a small set of firms absorbed into nearly every recommendation, and a larger set that gets read and footnoted but never named in the list that gets the call.
My firm publishes big verdicts. Why doesn't AI recommend us?
Because in our measurement, published verdict numbers alone don't buy the main list. We've measured firms publishing eight-figure verdict tables that stay locked out of the recommendations, while the firms that do get named pair results with review volume an order of magnitude higher and presence in the local best-of and directory layer the engines cite. The verdicts matter — but only as one leg of a stack.
Do you guarantee my firm will be recommended?
We agree the work and delivery dates in writing and keep a record of what we deliver. AI recommendations, leads and revenue are not guaranteed. Any different terms already accepted in writing continue to apply to that engagement.

The report is free

Find out which tier your firm is in.

Five real claimant questions, twice on each of six engines, with the first three fixes.

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