Skip to main content

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 Accountants beekdal-accountants.example 27 22 Valid result
Bergrug Accountants bergrug-accountants.example 80 46 Valid result
Boomklever Accountants boomklever-accountants.example 50 10 Valid result
Bosrand Accountants bosrand-accountants.example — — Incomplete
Dijkgraaf Accountants dijkgraaf-accountants.example — — Not published
Duinpan Accountants duinpan-accountants.example 69 47 Valid result
Eikenhout Accountants eikenhout-accountants.example 41 43 Valid result
Goudplevier Accountants goudplevier-accountants.example 66 43 Valid result
Grachtenpand Accountants grachtenpand-accountants.example 76 38 Valid result
Grutto Accountants grutto-accountants.example 42 18 Valid result
Hanzepoort Accountants hanzepoort-accountants.example 63 54 Valid result
Havenkom Accountants havenkom-accountants.example 40 25 Valid result
Heidezicht Accountants heidezicht-accountants.example 46 41 Valid result
Kadewerk Accountants kadewerk-accountants.example — — Incomplete
Kievit Accountants kievit-accountants.example 29 42 Valid result
Kompasroos Accountants kompasroos-accountants.example 58 49 Valid result
Kustlijn Accountants kustlijn-accountants.example 66 22 Valid result
Lindelaan Accountants lindelaan-accountants.example 53 16 Valid result
Meerkoet Accountants meerkoet-accountants.example 34 36 Valid result
Molenwiek Accountants molenwiek-accountants.example 76 37 Valid result
Noorderlicht Accountants noorderlicht-accountants.example 52 20 Valid result
Ooievaar Accountants ooievaar-accountants.example 69 32 Valid result
Polderlicht Accountants polderlicht-accountants.example 70 37 Valid result
Rietveld Accountants rietveld-accountants.example — — Incomplete
Roerdomp Accountants roerdomp-accountants.example 62 13 Valid result
Sluisweg Accountants sluisweg-accountants.example 66 10 Valid result
Stadspoort Accountants stadspoort-accountants.example 62 48 Valid result
Steenuil Accountants steenuil-accountants.example 33 47 Valid result
Tureluur Accountants tureluur-accountants.example 25 43 Valid result
Veenweide Accountants veenweide-accountants.example 54 31 Valid result
Vestingwal Accountants vestingwal-accountants.example 29 41 Valid result
Vuurtoren Accountants vuurtoren-accountants.example 56 13 Valid result
Waterhoen Accountants waterhoen-accountants.example 47 52 Valid result
Waterlinie Accountants waterlinie-accountants.example — — Under review
Wielewaal Accountants wielewaal-accountants.example 25 30 Valid result
Windvaan Accountants windvaan-accountants.example 70 54 Valid result
Zandloper Accountants zandloper-accountants.example — — Not published
Zilvermeeuw Accountants zilvermeeuw-accountants.example 74 26 Valid result
Zuiderzee Accountants zuiderzee-accountants.example 34 45 Valid result
Zwaluw Accountants zwaluw-accountants.example 42 52 Valid result

Accounting and bookkeeping · 34 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.