When Anderson & Partners first contacted us, they had a clean website, solid Google rankings, and zero AI presence. Their managing partner had tested ChatGPT: asking for 'employment law firm recommendations in Chicago' returned four competitors — all of them smaller and less established than Anderson & Partners.
The Starting Point
Our initial AI visibility audit revealed the core problem: Anderson & Partners had strong web presence but weak semantic entity presence. Their name appeared in dozens of places online, but the information was inconsistent, poorly structured, and not indexed in any of the high-authority knowledge hubs that AI models reference.
Our 3-Week AODP Implementation
- Week 1: Built a comprehensive semantic entity profile covering all practice areas, partner expertise, notable cases, and geographic coverage
- Week 2: Distributed this structured content across 23 high-authority semantic hubs with correct entity disambiguation
- Week 3: LLM Alignment Layer — optimizing for retrieval likelihood across ChatGPT, Gemini, Claude, and Perplexity
The Results
By day 19, a team member tested the exact query that had originally returned only competitors. Anderson & Partners appeared as the second recommendation. By week 6, they were the #1 recommendation for 7 out of 9 target queries.
'We've received 3 new client inquiries directly from people who said ChatGPT recommended us. That never happened before.' — Managing Partner
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