European AI Discoverability Benchmark

The European AI Discoverability Rankings.

Original research ranking how clearly European B2B SaaS companies are structured for AI recommendation. Scored on publicly available content, updated monthly.

Updated May 2026Original research by NarviaScored monthly
The structural gap

AI recommends the 74. It skips the 54.

54
Luxembourg fintech average
vs20 ptsstructural gap
73.9
Global B2B SaaS average

This gap is not a product problem. It is a content-structure problem. Every company in the gap is losing pipeline to competitors who are better structured for AI retrieval, not necessarily better products.

The index

AI Discoverability scores: 15 Luxembourg companies.

Named only where permission was given or the company is publicly identified with its category. All others are described by sector. The dashed line marks the global B2B SaaS average of 73.9.

#CompanySectorScore
01Tokenisation platformSecurity tokens68
02Open banking API platformOpen Banking62
03Payments infrastructureFintech & Payments62
04RegTech compliance platformRegTech61
05Fund tech data platformFund Tech59
06Open banking hubOpen Banking58
07Digital banking infrastructureFintech & Payments57
08Cross-border payments APIFintech & Payments57
09AML compliance softwareRegTech56
10Open finance platformOpen Banking55
11ESG reporting platformRegTech53
12API integration platformFintech & Payments53
13KYC automation platformRegTech51
14Fund administration SaaSFund Tech48
15B2B workflow platformFund Tech44

Highest score in the dataset: 68. Lowest: 44. Not a single company scanned scored above the global average of 73.9. Scores reflect content structure and AI readability, not product quality, revenue, or market position.

By sector

The gap holds across every sector.

Fintech & Payments
5 companies scanned
55
18.9 pts below global
Open Banking
3 companies scanned
55
18.9 pts below global
RegTech & Compliance
4 companies scanned
54
19.9 pts below global
Fund Tech
3 companies scanned
53
20.9 pts below global
What a buyer sees

The shortlist forms before a single sales call.

The buyer never sees a score. They see which companies are described clearly and which are not. A 73 appears confidently and specifically. A 54 appears vaguely, or not at all.

Buyer · AI assistantLive example
BuyerWhich EU open banking platform should we evaluate?
AI assistantIt names the firms whose content it can parse and cite. The clearly structured ones get recommended. The rest are left out of the answer.
About these rankings

How the index works.

How is each company scored? +
Each company is scored using Narvia's proprietary AI Discoverability model across 8 weighted dimensions. Scores range from 0 to 100 and reflect how clearly a company is structured for AI systems to find, understand, and recommend it. Narvia is part of LuxProvide's Initiate Programme, developing our benchmark on MeluXina, Luxembourg's national supercomputer. It is a credible prototype in active validation, not an established industry standard.
How often are the rankings updated? +
Rankings are updated monthly. Each score reflects a fresh analysis of publicly available website content at the time of scanning.
Why are most companies anonymised? +
Companies are anonymised by sector unless they have given explicit permission to be named, or are widely identified with their product category in public sources. We never expose a single named company's low score. Any company can request removal or correction by contacting lilian@narvia.io.
What about the global reference figure? +
The global B2B SaaS average of 73.9 is shown as a reference ceiling so you can understand the benchmark, not as a like-for-like comparison. Global leaders are not European companies and are not in the same competitive set as the Luxembourg and EU-based companies in this index.

Disclaimer: AI Discoverability scores are estimates of content readiness under Narvia's proprietary framework. They are not factual certifications, performance guarantees, or recommendations to buy or engage with any company. Scores reflect publicly available content at the time of scanning. Companies may request removal or correction by contacting lilian@narvia.io.

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