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Benchmark

When AI helps someone choose, who gets recommended?

Explore which companies AI understands and recommends when buyers ask for help choosing.

Plot List

Select a dot to inspect a company.

All members in view with their method-specific indices or status
Company Understood Recommended Status
Beekdal Advocaten beekdal-advocaten.example 58 20 Valid result
Bergrug Advocaten bergrug-advocaten.example 45 19 Valid result
Dijkgraaf Advocaten dijkgraaf-advocaten.example 52 25 Valid result
Duinpan Advocaten duinpan-advocaten.example 71 39 Valid result
Eikenhout Advocaten eikenhout-advocaten.example 77 27 Valid result
Hanzepoort Advocaten hanzepoort-advocaten.example 29 26 Valid result
Heidezicht Advocaten heidezicht-advocaten.example 58 14 Valid result
Kadewerk Advocaten kadewerk-advocaten.example 45 38 Valid result
Kustlijn Advocaten kustlijn-advocaten.example 76 9 Valid result
Lindelaan Advocaten lindelaan-advocaten.example 42 31 Valid result
Molenwiek Advocaten molenwiek-advocaten.example 78 39 Valid result
Noorderlicht Advocaten noorderlicht-advocaten.example 40 24 Valid result
Polderlicht Advocaten polderlicht-advocaten.example 46 40 Valid result
Rietveld Advocaten rietveld-advocaten.example 24 51 Valid result
Sluisweg Advocaten sluisweg-advocaten.example 59 47 Valid result
Stadspoort Advocaten stadspoort-advocaten.example 24 7 Valid result
Veenweide Advocaten veenweide-advocaten.example 78 33 Valid result
Vestingwal Advocaten vestingwal-advocaten.example 34 21 Valid result
Vuurtoren Advocaten vuurtoren-advocaten.example 45 16 Valid result
Waterlinie Advocaten waterlinie-advocaten.example 21 14 Valid result
Zilvermeeuw Advocaten zilvermeeuw-advocaten.example 26 37 Valid result
Zuiderzee Advocaten zuiderzee-advocaten.example 78 8 Valid result

Legal services · 22 valid results · Illustrative dataset · 24–29 Aug 2026

Why this matters

More and more people ask AI where to buy.

It often starts with a simple question.

“I need payroll software for 80 people. We already use Exact. What should I look at?”

A few seconds later, AI gives a few options.

The buyer may never have searched for those companies. May never have visited their websites. May not even have known they existed.

Most companies are still optimising for being found. AI changes the question: when an AI system helps someone choose, which companies does it understand well enough to recommend?

Rough Diamonds makes that measurable.

What Rough Diamonds shows

AI first needs to understand what a company does.

Before AI can recommend a company, it needs to understand what that company offers. The better AI understands it, the better it can recommend that company to someone looking for what it offers.

Rough Diamonds therefore measures two things: AI Understanding and AI Recommendation.

This shows what a company can improve to be recommended more often than a competitor.

The measurement model

One prompt gives you an answer. Rough Diamonds gives you a measurement.

Rough Diamonds uses a purpose-built measurement model to test AI Understanding and AI Recommendation systematically.

See how the measurement works

  1. One measurement, multiple signals

    Multiple signals, one measurement.

  2. Semantic profile testing

    Identity, offer and audience.

  3. Buyer-situation testing

    Recommendation in real buying situations.

  4. Stability check

    The same picture across multiple answers.

  5. Fact consistency

    Important facts remain consistent.

  6. Pattern, not one answer

    Pattern over one isolated response.

Rough Diamonds Report

What about my company?

A Rough Diamonds Report shows how AI understands your company, when it recommends you, and where the picture can be clearer.

Any company. Any market. Any language.

Check your company View an example report

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