AI Search Engineers said July 23 that it is launching a standardized AI Search Visibility Score, a 100-point framework meant to show how professional services firms appear inside ChatGPT, Google Gemini and Microsoft Copilot. The company said the model was built from analysis of more than 50 AI visibility audits and is aimed first at law firms, financial advisors, medical practices and B2B consulting firms.
The pitch is straightforward: professional services firms need a baseline for AI search visibility and brand authority, not just blue-link rankings or organic traffic. For practices that win business through recommendation behavior and credibility, being absent from the answer layer can mean being absent from the consideration set altogether. AI Search Engineers is presenting the score as a way to measure that gap, then track whether content, citations and broader digital presence improve it over time.
That puts the new metric in the same lane as emerging AI search benchmarks already being used by agencies and in-house teams. SearchScore’s Q1 2026 SAVI report said it audited more than 850,000 websites and found that 71% were not cited by AI systems, with an average visibility score of 41.4 out of 100 and only 0.12% of websites classified as AI-ready. Foglift’s 2026 benchmark work put median industry scores between 48 and 62, with top-quartile thresholds ranging from 73 to 84. Semrush has also formalized the category with an expanded 2026 AI visibility index analyzing 126 million AI search prompts.
The practical test is whether AI Search Engineers’ score exposes a reporting gap or becomes another vanity number. A useful score would need to separate citation share, source quality, brand consistency and contextual relevance well enough that a 20-point drop tells a law firm or consultancy exactly what changed. If the decline traces to missing citations, weak local authority signals or inaccurate summaries in AI answers, the response is concrete: tighten source pages, improve PR placement, and reinforce entity-level trust signals across the web.
Thomson Reuters underscored the pressure on those firms earlier this year, when it published its 2026 AI in Professional Services Report on February 12 and framed generative and agentic AI as part of the operating model shift facing the sector. AI Search Engineers is betting that firms now need a score to manage that shift. The real value will be whether the number stays stable, comparable and tied to actions that professional services marketers can actually control.
