How does ChatGPT choose which lawyers to recommend?
ChatGPT builds recommendations from structured data across the web. It looks for verified entity identity (Schema.org), attorney credentials in machine-readable format (Person schema with bar admissions and specialties), structured client reviews, and comprehensive practice area content that directly answers legal questions. 97% of law firms don’t have an llms.txt file — the single most basic signal for AI discoverability.
Why does my competitor show up but I don’t?
Your competitor likely has deeper structured data. Even shallow schema gives them an edge: basic Organization markup with sameAs links to Avvo and LinkedIn puts them ahead of firms with zero schema. The difference between being recommended and being invisible often comes down to technical implementation, not legal expertise or firm reputation.
What’s the ROI of being recommended by ChatGPT?
ChatGPT has 900 million weekly active users. AI-referred visitors convert at 4.4x the rate of organic search. For a law firm where a single client can be worth $10,000-$50,000+, even one additional client per month from AI recommendations more than justifies the investment. And unlike paid ads, AI citations compound over time.
How do I start getting recommended?
Start with a free audit at nuecite.com. Your score will show exactly which of the five AI visibility dimensions are holding you back. From there, the path is clear: implement comprehensive schema, deploy llms.txt, restructure content, and add structured reviews. NueCite handles all of this with a purpose-built AI-optimized website.