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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
Beekdal Media beekdal-media.example 24 41 Valid result
Bergrug Media bergrug-media.example 62 44 Valid result
Bosrand Media bosrand-media.example 19 21 Valid result
Dijkgraaf Media dijkgraaf-media.example 14 27 Valid result
Duinpan Media duinpan-media.example 50 4 Valid result
Eikenhout Media eikenhout-media.example 19 33 Valid result
Grachtenpand Media grachtenpand-media.example 25 14 Valid result
Hanzepoort Media hanzepoort-media.example 64 38 Valid result
Havenkom Media havenkom-media.example 49 20 Valid result
Heidezicht Media heidezicht-media.example 20 12 Valid result
Kadewerk Media kadewerk-media.example 20 39 Valid result
Kompasroos Media kompasroos-media.example 52 5 Valid result
Kustlijn Media kustlijn-media.example 63 4 Valid result
Lindelaan Media lindelaan-media.example 46 41 Valid result
Molenwiek Media molenwiek-media.example 37 42 Valid result
Noorderlicht Media noorderlicht-media.example 64 2 Valid result
Polderlicht Media polderlicht-media.example 51 26 Valid result
Rietveld Media rietveld-media.example 44 24 Valid result
Sluisweg Media sluisweg-media.example 38 14 Valid result
Stadspoort Media stadspoort-media.example 14 37 Valid result
Veenweide Media veenweide-media.example 38 18 Valid result
Vestingwal Media vestingwal-media.example 70 40 Valid result
Vuurtoren Media vuurtoren-media.example 37 27 Valid result
Waterlinie Media waterlinie-media.example 17 13 Valid result
Windvaan Media windvaan-media.example — — Technical failure
Zandloper Media zandloper-media.example 55 14 Valid result
Zilvermeeuw Media zilvermeeuw-media.example 43 3 Valid result
Zuiderzee Media zuiderzee-media.example 13 24 Valid result

Marketing agencies · 27 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.