Most B2B companies are invisible to AI systems. They invest in SEO, content and campaigns, but when buyers ask AI which platform to use, they are absent from the answer. Narvia finds out why, then fixes it.
When a buyer asks an AI system which platform to use, the company whose product does exactly what they need is frequently absent from the answer. Not because the product is wrong, but because the content is structured for human readers, not for AI systems.
We scanned more than 40 companies before we spoke to a single potential client. The pattern was consistent: scores between 45 and 65 out of 100, integrations pages listing hundreds of connectors with no descriptions, hero messages AI could not parse into a confident recommendation. The gap is significant, and almost entirely fixable.
AI recommends the 74. It skips the 54.
A dashboard leaves the work to you. Narvia delivers the specific, ready-to-publish content changes, structured for AI citation, then proves the change with a controlled before-and-after of how AI describes you. Plenty of tools generate content. The difference is proof that it worked.
We score every site the same way, against the same calibrated model. We never inflate scores to make clients feel better.
A score without a fix is just a problem statement. Every Narvia report delivers specific content changes ready to use.
Our scoring model is calibrated against the market and continuously refined. The methodology is ours, and we protect it.
We only make claims we can back up. Every finding on this site is from a real scan. Every number is real.
Any company where being recommended by AI has direct pipeline impact.
Narvia is built for B2B SaaS companies globally: API platforms, connectivity infrastructure, workflow tools, open banking, compliance technology, HR tech, and payments infrastructure.
We started in the Luxembourg fintech ecosystem because the density of companies and the maturity of buyers made it the perfect first market. The methodology, the scoring model, and the product work for any B2B SaaS company anywhere in the world.
Narvia today scores and fixes. We are building toward a system that monitors every brand touchpoint across AI environments, identifies emerging gaps as the landscape shifts, and delivers fixes without waiting to be asked.
The companies that treat AI discoverability as an ongoing operational practice, rather than a one-off engagement, will compound a structural advantage over those that treat it as a quarterly check. We are onboarding a small number of founding enterprise partners in 2026 to build this capability alongside us. These are retained programmes, not off-the-shelf products.
Talk to us about the founding programmeLilian spent over a decade leading marketing at enterprise B2B technology companies across Europe, the Middle East and Africa, building Account-Based Marketing and pipeline programmes at scale for SaaS companies. She identified the AI Discoverability gap from inside the industry and built Narvia to close it.
Rupert brings over a decade in the Luxembourg financial regulatory industry, in senior roles at JPMorgan, RBC, Intertrust, Deutsche Bank, Franklin Templeton and Aberdeen, and worked directly on fintech platform delivery at Temenos Multifonds across multiple migrations. He holds the Luxembourg business permit as gestionnaire and brings an institutional network built inside regulated finance.
We saw this gap open from two sides at once. Lilian watched buyers shift to asking AI which companies to trust, while marketing teams had no way to measure or fix how AI represented them. Rupert saw the same blind spot inside regulated Luxembourg finance. The behaviour change is happening now. The tools to respond do not yet exist in Europe. We are the two people who understand both the marketing problem and how to build a company in Luxembourg to solve it.
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