▪ benchmark

UK wedding venue AI visibility benchmark

Scanned August–September 2026 · updated 3 October 2026

We scanned 21 independent UK wedding venues to see what an AI assistant can actually read about them. The answer, for most: not the price.

Median score
64.5
Range
48.6–82.7
Businesses scanned
21
Worth per customer
£12,000

57% show an AI assistant no price at all

57%of venues (12 of 21) expose no machine-readable price anywhere on the site. Prices sit behind a brochure-download form, which is invisible to an assistant shortlisting venues.
0 of 21scored above 0.6 on packages and capacity. Not one venue in the sample makes its own capacity and package structure legible to a machine.
Some have no domain at allA number of venues sit under a hotel group or collection and have no site of their own, so they cannot be made agent-legible independently of their parent. Those were excluded from the figures above rather than scored as failures.

At roughly £12,000 a booking, a venue does not need AI to become a major channel for this to matter. It needs one enquiry it would otherwise have lost.

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.

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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.

n = 21 · scanned August–September 2026 · no business named

The other verticals