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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
Bergrug Bouw bergrug-bouw.example 36 0 Valid result
Dijkgraaf Bouw dijkgraaf-bouw.example 43 35 Valid result
Duinpan Bouw duinpan-bouw.example 46 5 Valid result
Eikenhout Bouw eikenhout-bouw.example 59 36 Valid result
Hanzepoort Bouw hanzepoort-bouw.example 58 30 Valid result
Heidezicht Bouw heidezicht-bouw.example 22 17 Valid result
Kadewerk Bouw kadewerk-bouw.example 29 12 Valid result
Kustlijn Bouw kustlijn-bouw.example 27 3 Valid result
Lindelaan Bouw lindelaan-bouw.example 48 4 Valid result
Molenwiek Bouw molenwiek-bouw.example 15 1 Valid result
Noorderlicht Bouw noorderlicht-bouw.example 61 37 Valid result
Polderlicht Bouw polderlicht-bouw.example 25 37 Valid result
Rietveld Bouw rietveld-bouw.example 8 21 Valid result
Sluisweg Bouw sluisweg-bouw.example 53 40 Valid result
Veenweide Bouw veenweide-bouw.example 58 40 Valid result
Waterlinie Bouw waterlinie-bouw.example 64 3 Valid result
Zilvermeeuw Bouw zilvermeeuw-bouw.example 15 16 Valid result
Zuiderzee Bouw zuiderzee-bouw.example 30 32 Valid result

Construction · 18 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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