US Accounting Firm — Professional Services
A professional services firm with no stable AI entity identity — inconsistent across its own site, directories, and credentials — became citable through the same technical, schema, and entity-alignment work.
Situation
An accounting practice serving US clients. Same underlying pattern as the painting contractor case: a functioning business with a website that had never been built for machine comprehension.
What We Found
Technical barriers preventing clean parsing. Missing structured data. Entity inconsistency across the web. In a professional services category — where AI systems are notably conservative and lean toward sources with clear, verifiable credentials — that inconsistency is particularly costly. The system had no stable understanding of who this firm was or what it was authoritative on.
What We Did
The same four-part intervention: technical fixes, schema implementation, content restructured for extractability, and entity alignment across every place the firm appears.
Result
Appeared in AI answers for queries where it previously did not. Rankings and organic traffic improved. Call volume increased.
Timeframe
One to two months to initial results.