Case Study · Maryland · Personal Injury
LawSHIFT · SignalStack 200™ · AEO Case Study

How a Maryland Personal Injury Firm Traced 2 Signed Clients Directly to ChatGPT

A Baltimore PI firm was getting AI leads — but converting none. LawSHIFT rebuilt their AI presence from the ground up, adding bilingual authority and full attribution. Within four months, two signed clients were traced directly to ChatGPT.
AI Visibility Growth
+425%
Sustained across all four major AI engines
Top Prompt Visibility
56%
Best personal injury prompts in Baltimore
Signed Clients from AI
2
Directly attributed to ChatGPT — tracked in LeadDocket
Time to Attribution
4 mo.
First AI-attributed client signed within four months
A Baltimore PI Firm in a Competitive, Underserved AI Market
A personal injury firm serving the Baltimore metro area — car accidents, slip and fall, medical malpractice, wrongful death — had built a strong local reputation over years of practice. Their intake was solid, their results were strong, and their referral network was established. But when potential clients turned to ChatGPT or Perplexity to ask who handles serious injury cases in Baltimore, this firm wasn't part of the conversation.
Baltimore's PI market is competitive, but its Spanish-speaking injury population was entirely uncontested on AI platforms. No firm had built any AI presence for Spanish-language personal injury queries — a significant gap in one of the Mid-Atlantic's largest Spanish-speaking markets.
Appearing in AI — But for the Wrong Things
AI Presence Without Results
The firm had begun appearing in some AI responses — but for jurisdictions they don't serve and case types they don't take. Five inbound AI leads arrived. Zero converted. A generic AI presence was burning intake resources without generating revenue.
An Untapped Bilingual Opportunity
Baltimore's Spanish-speaking injury victims had nowhere to turn on AI platforms. Every firm competing for Spanish PI queries was doing so by accident — not by design. The first firm to build intentional Spanish AI authority would own the segment entirely.
No Attribution Infrastructure
Leads were arriving from unknown sources. The firm had no system to identify which clients came from which channels — making it impossible to know whether AI was working or where to invest next.
SignalStack 200™ — Precision Over Presence
LawSHIFT deployed the SignalStack 200™ authority architecture — a five-pillar AI visibility system built specifically for personal injury firms. Rather than chasing generic visibility, the strategy targeted the exact prompts Baltimore injury victims actually use when asking AI engines for help.
The bilingual component was built from the ground up — not translated content, but original Spanish-language authority signals designed to surface this firm as the answer when a Spanish-speaking person in Baltimore asks an AI who can help them after an accident.
Alongside the visibility work, LawSHIFT built out full AI lead attribution — so every signed client's origin is now tracked from first AI touchpoint through intake and through LeadDocket.
From 5 Wasted Leads to 2 Signed AI Clients
PromptEngineVisibility
"Baltimore slip and fall attorney — who is the best?" ChatGPT
56%
"Best personal injury attorney in Baltimore" ChatGPT
46%
"Mejor abogado de lesiones personales en Baltimore" (Spanish) ChatGPT
44%
"Who handles truck accident cases in Baltimore?" ChatGPT
38%
"Medical malpractice lawyer Baltimore Maryland" ChatGPT
28%
Before LawSHIFT
5 AI leads, 0 signed — wrong case types and jurisdictions
4% overall AI visibility across Baltimore PI prompts
Zero Spanish-language presence on any AI engine
No attribution — leads logged in a spreadsheet, source unknown
After LawSHIFT
+425% visibility, sustained across all four AI engines
2 signed clients attributed to ChatGPT — tracked in LeadDocket
56% on #1 Baltimore slip and fall prompt — 100% Share of Voice
Spanish bilingual dominance — #1 with zero competition for any Spanish PI query
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