⚖️ Personal Injury Law
Stay Found Plan
From a 17 AI Visibility Score to the #1 ChatGPT recommendation
17 → 69
AI Visibility Score
+306%
AI mention rate increase
⚖️
Example report · Personal Injury Law
ChatGPT · After Bizl
Now appearing
"Best personal injury lawyer in Houston for car accident"
Here are some top-rated personal injury attorneys in Houston:
✓
Example Law Firm ⭐4.9
✓
Houston Injury Lawyers ⭐4.7
✓
Texas Accident Attorneys ⭐4.6
Appearing in 54% of tracked personal injury prompts in Houston
The Challenge
A respected law firm losing high-value cases to AI-discovered competitors
This Houston personal injury firm had over a decade of trial experience and a strong reputation in the legal community. But when potential clients asked ChatGPT or Perplexity for the best personal injury lawyer, three competitors with weaker case histories were being recommended consistently. The cost of each missed lead was significant.
AI Visibility Score at audit
4%
ChatGPT mention rate
22/120
Citations found
6%
Perplexity presence
F
Schema grade
What the audit found
Critical
No Attorney or LegalService schema
Practice areas, bar associations, case types, and credentials had no structured data. AI engines could not verify specialty or qualifications.
Critical
Missing from major legal directories
Avvo, Justia, FindLaw, and Martindale-Hubbell listings either did not exist or were unclaimed and outdated. These are primary data sources for AI legal recommendations.
High
No content targeting practice-area queries
High-intent queries like "car accident attorney Houston" or "wrongful death lawyer" had no corresponding content with schema markup the firm could rank for.
High
Google Business Profile minimal
Practice areas, attorney bios, and recent case results were not showcased. Q&A and posts were empty. Reviews were not being requested systematically.
What We Did
A step-by-step plan our team executed
while the firm focused on clients
From the day the firm signed up for Stay Found, our team handled everything. Here is exactly what happened.
Step 1
Full audit and legal directory roadmap
We ran 320 prompts across all five AI engines covering personal injury, auto accidents, medical malpractice, and wrongful death queries. Mapped every legal directory AI engines reference and built an execution plan.
Step 2
Legal directory claims and credentialing
Claimed and optimized Avvo, Justia, FindLaw, Martindale-Hubbell, and 14 other legal-specific directories. Added bar credentials, practice areas, and verified case histories.
Step 3
Attorney and practice-area schema
Deployed Attorney, LegalService, and Person schema for each attorney. Created practice-area pages for car accidents, slip and fall, wrongful death, and medical malpractice with structured FAQ data.
Step 4
Citation cleanup and content publishing
Built 96 new general and legal citations with consistent NAP data. Published 18 long-form content pieces targeting high-intent practice-area queries with structured data.
Ongoing
Weekly monitoring, competitor tracking and refinement
Every week we ran full scans across all five engines, tracked competitor visibility changes, and refined the optimization based on what prompts the firm was winning and losing. Monthly reports showed the firm exactly what had changed and why.
The Results
Score went from 17 to 69.
Sample data from an example report.
69/100
AI Visibility Score, up from 17
+306%
AI mention rate increase across all five engines
112/120
Citations verified and consistent, up from 31
#1
ChatGPT recommendation for "best personal injury lawyer near me"
AI Visibility Score, before and after
This firm
Top competitor
AI mention rate by engine - before and after
Sample data
| Engine | Before Bizl | After Bizl | Change |
|---|---|---|---|
| ChatGPT | 6% | 58% | ▲ +867% |
| Gemini | 4% | 51% | ▲ +1,175% |
| Perplexity | 9% | 64% | ▲ +611% |
| Claude | 3% | 47% | ▲ +1,467% |
| Grok | 1% | 41% | ▲ +4,000% |
More Case Studies
Results across other industries
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