Solo practitioners face an uphill battle against large law firms with big marketing budgets. This family law attorney had the skills and the client satisfaction scores — but was invisible in AI search where more and more prospective clients were starting their research.
What We Found
- No entity disambiguation — AI models couldn’t distinguish her from dozens of other attorneys with similar names
- Practice area pages written for keywords, not for AI comprehension
- Missing professional credentials and bar association citations
- No structured FAQ content addressing the questions divorce clients actually ask
What We Built
We focused on entity clarity and trust signal density:
- Entity Disambiguation — Built a structured knowledge profile linking her name, credentials, bar number, and practice areas consistently across the web
- Authority Context Engine — Created comprehensive FAQ and guide content answering the specific questions AI models surface for family law queries in her metro
- Citation Network — Established authoritative citations across legal directories, bar association listings, and local business profiles
- Trust Signal Architecture — Structured her client testimonials and case outcomes into schema-marked content AI systems could parse and verify
Results at 6 Months
Qualified inquiries tripled. Cost per lead dropped 55% as organic AI-driven referrals replaced paid search spend. New clients consistently report they found her through ChatGPT or Perplexity — already convinced she was the right attorney before the first call.