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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.

Select a dot to inspect a company.

All members in view with their method-specific indices or status
Company Understood Recommended Status
AFAS Software afas.nl 91 90 Valid result
Beekdal Software beekdal-software.example 75 48 Valid result
Bergrug Software bergrug-software.example — — Incomplete
Boomklever Software boomklever-software.example 35 47 Valid result
Bosrand Software bosrand-software.example 71 38 Valid result
Dijkgraaf Software dijkgraaf-software.example 56 39 Valid result
Dotterbloem Software dotterbloem-software.example — — Incomplete
Duinpan Software duinpan-software.example — — Not measured
Eikenhout Software eikenhout-software.example 31 49 Valid result
Goudplevier Software goudplevier-software.example 51 21 Valid result
Grachtenpand Software grachtenpand-software.example 76 31 Valid result
Grutto Software grutto-software.example — — Not measured
Hanzepoort Software hanzepoort-software.example 46 41 Valid result
Havenkom Software havenkom-software.example — — Incomplete
Heidezicht Software heidezicht-software.example 59 33 Valid result
Kadewerk Software kadewerk-software.example 32 31 Valid result
Kalmoes Software kalmoes-software.example 73 56 Valid result
Kievit Software kievit-software.example — — Not published
Klaproos Software klaproos-software.example 50 48 Valid result
Kompasroos Software kompasroos-software.example 69 53 Valid result
Korenbloem Software korenbloem-software.example 61 47 Valid result
Kustlijn Software kustlijn-software.example — — Not measured
Lindelaan Software lindelaan-software.example — — Not measured
Lisdodde Software lisdodde-software.example — — Not measured
Meerkoet Software meerkoet-software.example 31 30 Valid result
Molenwiek Software molenwiek-software.example — — Incomplete
Noorderlicht Software noorderlicht-software.example 55 62 Valid result
Ooievaar Software ooievaar-software.example 32 57 Valid result
Polderlicht Software polderlicht-software.example 51 27 Valid result
Rietveld Software rietveld-software.example 47 33 Valid result
Roerdomp Software roerdomp-software.example 45 54 Valid result
Sluisweg Software sluisweg-software.example — — Under review
Stadspoort Software stadspoort-software.example 37 41 Valid result
Steenuil Software steenuil-software.example 64 30 Valid result
Tureluur Software tureluur-software.example 58 60 Valid result
Veenpluis Software veenpluis-software.example 33 45 Valid result
Veenweide Software veenweide-software.example 32 31 Valid result
Vestingwal Software vestingwal-software.example 31 50 Valid result
Vuurtoren Software vuurtoren-software.example — — Incomplete
Waterhoen Software waterhoen-software.example 72 51 Valid result
Waterlinie Software waterlinie-software.example 31 61 Valid result
Wielewaal Software wielewaal-software.example 50 61 Valid result
Wilgenroos Software wilgenroos-software.example 40 57 Valid result
Windvaan Software windvaan-software.example — — Not published
Zandloper Software zandloper-software.example 47 44 Valid result
Zilvermeeuw Software zilvermeeuw-software.example 61 46 Valid result
Zonnedauw Software zonnedauw-software.example 57 31 Valid result
Zuiderzee Software zuiderzee-software.example 78 31 Valid result
Zwaluw Software zwaluw-software.example — — Technical failure

B2B software · 35 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.