▪ benchmark

UK solicitor AI visibility benchmark

Scanned August–September 2026 · updated 3 October 2026

We scanned 9 UK law firms. The SRA already requires much of this information to be published. An assistant still cannot read it.

Median score
68.2
Range
33.2–90.9
Businesses scanned
9
Worth per customer
£1,800

Required by the regulator, still unreadable by a machine

0.39average score on fees and scope, despite SRA price-transparency rules already requiring most of it to be published. The information exists; its format defeats machines.
33.2–90.9the widest spread of any vertical we measured. The top of this field is the best-prepared group in the whole corpus; the bottom is the worst.

"You are required to publish this and an agent still cannot read it" is a sharper problem than anything in the other verticals, because the compliance work is already done.

True in every vertical

Three findings held across all 82 businesses we scanned, regardless of industry:

CheckScoreWhat it means
Agentic commerce endpoints0.00Not one business of 82 exposes an ACP or AP2 surface. An assistant cannot transact with any of them directly.
llms.txt guidance file~0.15Almost nobody publishes one. It is free to add and takes minutes.
Structured data (schema.org)0.25–0.32The single biggest scoring gap in every vertical. Without it an assistant has to infer what the business even is from prose.

What this measures, in fourteen seconds

A question put to four AI assistants, with a score for each.
No business is named. The result shown is an example.

Where does your site sit?

The same audit, run on your own domain. One field, about twenty seconds, no account and no card.

Run the free check →

How this was measured

Each site was scanned by an automated audit that scores nine weighted checks: crawler access, structured data, whether content survives without JavaScript, machine-readable pricing, bot protection, terms and security, an llms.txt guidance file, sitemap discoverability, and agentic commerce endpoints. The score is out of 100.

This measures what a machine can read on the public website. It is a separate question from whether an assistant actually names the business when asked — that is measured by putting real questions to ChatGPT, Perplexity, Gemini and Claude, and the two do not always agree.

This sample is small. At n=9 the median is indicative, not authoritative — we publish it with the sample size attached rather than rounding it into a claim it cannot support. We are extending this corpus to around 25 before treating the figure as firm.

n = 9 · scanned August–September 2026 · no business named

The other verticals