Accident victims now ask ChatGPT who to call before they dial a single number. One PI firm gets cited. We make sure it is yours, bar-compliant, contingency-aware, and placed across the outlets referring attorneys already trust. $995 a month flat.
Personal injury is the most expensive keyword category on Google Ads. A single click on "car accident lawyer" runs $250 to $1,200 depending on metro. Mesothelioma keywords clear $1,000 a click. Firms burn $40,000 a month on search just to stay inside the top three ads above the map pack.
Meanwhile, ChatGPT names three firms in its answer for the same query. Citation is free. The prospect has already decided which name to call before any paid ad renders. PPC buys you a bid. AEO buys you the recommendation.
ChatGPT and Perplexity score every PI firm on the same three axes for every accident query. Miss one and the answer skips over your name.
The models lean hard on Claims Journal, Law360 Litigation, Plaintiff Magazine, AAJ Trial, and local broadcast affiliates. A firm profiled in three of those this year shows up. A firm with only a Google Business Profile and a FindLaw page does not.
LegalService schema tagged to MVA, motorcycle, truck, premises liability, product liability, mass tort, and wrongful death. Attorney schema with bar numbers and admissions. Past-results schema with the disclaimer baked in. Unstructured sites get guessed at. Structured PI sites get quoted.
A $2.4M settlement on a rear-end MVA that gets written up in the Tampa Bay Times inside 30 days. A WFLA segment on a truck crash trial. Recency carries weight. Models downgrade firms whose last verdict write-up is two years old, even if the firm is still active.
Each piece compounds on the others. Coverage feeds the entity map. Entity work sharpens the schema. Schema lets the models quote you cleanly. Prompt tracking points us at the next metro and case type to push. Nothing is sold as a standalone deliverable. Everything loops back into the next month of citation growth.
Billboards never tell you which queries they missed. We do. Every retainer starts with your firm name and case types run against 60 buyer prompts across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview for every metro you cover. You get a scorecard that shows exactly which competitor firms are stealing the answer, which case types you are invisible on, and which prompts convert fastest.
Past results only help if the model can read them without tripping your state bar rules. We ship LegalService, Attorney, and Person JSON-LD across every practice-area page with case-type tagging, verdict range annotations, and the required disclaimer locked inside the schema itself. Florida, Texas, California, and New York all get their exact phrasing. No disclosure ever fails a post-publication audit.
Models trust firms that exist across a tight web of plaintiff-specific references. Justia, Martindale, Avvo, Super Lawyers, AAJ member directory, state plaintiff-bar directories, Wikidata, and Crunchbase. Every trial attorney on staff gets a linked entity. The managing partner gets a Knowledge Panel foundation if the press footprint supports one.
Every month we place your firm inside the outlets that already have weight with referring attorneys and adjusters. Verdict write-ups in Plaintiff Magazine. Trial pattern profiles on Law360 Litigation. Claims Journal analysis on crash trends. Local broadcast coverage tied to a specific case or public-safety angle. Every placement ships with the exact disclaimer your licensing states require.
A real Reddit thread where an accident victim recommends your firm lives forever inside the training data. ChatGPT and Perplexity weigh it heavier than a dozen static landing pages. We map the subreddits where crash victims actually ask for help, then contribute inside the state bar solicitation rules that apply to your licensing jurisdictions. No paid shilling. No astroturfing. No ghostwritten testimonials.
Every month we run your full prompt set across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview. You get a dashboard broken out by metro, by case type, by engine, against the specific competitor firms you care about. Plus the delta from last month. Plus the prompts we should push next. No mystery. The data is on screen for every monthly strategy call.
A long-form motor vehicle accident pillar anchors your firm's authority for every MVA prompt. Then we atomize it into the formats each surface rewards. FAQ schema for Google AI Overview. A listicle for ChatGPT. Case-comparison tables for Perplexity. Thread replies for Reddit. Short video for Reels and TikTok. A broadcast-ready pitch angle for local news. A downloadable quick-reference PDF for intake follow-up. Every asset links back to the same pillar so the authority compounds.
The trick nobody in legal marketing writes about honestly. A plaintiff firm books revenue when a case resolves, not when a click converts. A rear-end MVA settling at $120,000 with a 33.3 percent contingency fee puts $40,000 on the firm's books. A commercial trucking case at $750,000 puts $250,000 on the books. A mass tort MDL payout can clear $500,000 for a single plaintiff.
The AEO retainer runs $11,940 for a full year. One signed MVA covers the retainer three times over. One trucking case covers it 20 times over. One Camp Lejeune claim covers it 40 times over. The break-even is one additional signed case a year, attributable to the channel. Most firms on the retainer clear that inside the first quarter.
Most plaintiff firms have already tried at least two of these. Here is what each delivers against the AI search surface that now decides intake calls.
| Instant Press PI AEO | Google PPC | TV & Billboard | Lead Gen (4LegalLeads, etc.) | |
|---|---|---|---|---|
| Monthly PI press placements with backlink | Included | No | No | No |
| Case-type schema build (MVA, truck, tort) | Full | No | No | No |
| Metro AI prompt tracking, 5 engines | Monthly, 60 prompts | No | No | No |
| Bar advertising compliance review | Built in, 50 states | Your team | Your team | Boilerplate only |
| Reddit and community signal | Included | No | No | No |
| Setup fee | $0 | $0 | $3,500+ production | $500 onboarding |
| Monthly spend | $995 | $15k–$80k | $25k–$200k | $4k–$15k |
| Cost per signed case (PI benchmark) | $490 | $4,200 | $2,100 | $2,800 |
| Leads exclusively yours | Yes | Yes | Yes | Shared, 3-5 firms |
| Contract length | Month to month | Month to month | 6-12 month buy | 90-day min |
Representative plaintiff client running the stack since January 2026. Metro and firm details anonymized per client NDA.
Firm came in spending $28,000 a month on Google Ads across MVA and motorcycle case-type keywords. Cost per intake hovered at $2,100, cost per signed case at $5,600. Zero presence in ChatGPT, Perplexity, or Gemini answers for their metro. Billboards ran in rotation on I-275 and I-4 at $11,000 a month on top of the PPC budget.
Quarter one we ran the prompt audit, shipped the full LegalService schema pass, built two Claims Journal features, one Plaintiff Magazine profile, and one WFLA broadcast segment tied to a specific MVA trial verdict. Entity graph cleanup across Justia, Martindale, and the Florida Bar directory wrapped in week five. Three Reddit threads on r/tampa and r/legaladvice picked up their firm name organically by week nine.
By quarter three the firm was cited in 71 percent of metro-specific PI prompts. PPC budget dropped to $9,000 a month without losing intake volume, because AEO was pulling the other 64 percent of intake calls. Cost per signed case dropped from $5,600 to $820 blended. The managing partner kept the AEO retainer at $995 and cut two PPC vendors.
Most plaintiff firms already pay a legal marketing shop $6,000 to $18,000 a month plus a setup fee, and still run PPC on top. We tore that pricing up for the first 15 PI firm seats.
Roughly 83 percent under the standard plaintiff-SEO retainer, and the $2,500 to $5,000 setup is gone. This rate holds for the first 15 PI firm seats. After that it returns to the market rate for the vertical.
Drop your firm URL and primary metro. We run your name and case types against 60 plaintiff-specific prompts across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview. Full report, no sales call, delivered inside 24 hours.
Three years ago I sat with a managing partner in Tampa who showed me his Google Ads receipts. $612 per click on "car accident lawyer Tampa." $38,000 a month, every month. He said it like a tax. The same night, I typed the exact same query into ChatGPT. Four firms came up. His was not one of them.
That is the whole problem. The paid ad is a tax that pays the accident victim's ChatGPT answer, which does not name the firm paying the tax. The firms that end up in the answer paid nothing. They just earned the coverage, the schema, and the Reddit mentions the models weigh.
The reason this retainer is $995 instead of $12,000 is that the stack is tight. Small team, real operators, in-house tools, no account execs to pay for. Every article before it gets pitched. Every month's prompt tracker on my desk. If something is not moving for your firm, I hear it before you do. No junior AE, no slide deck, no media training call.
Thirty minutes. I pull your firm's current citation share live, show you which competitor firms are winning the Tampa or Houston or Atlanta answer, and tell you whether this retainer fits your practice. If it does not, I will say so on the call.
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