Most B2B companies are invisible to AI systems. Narvia finds out why. Then fixes it.
Most B2B companies are AI-invisible. They invest in SEO, in content, in campaigns — but when buyers ask AI systems which platform to use, they are absent from the answer. Narvia fixes that.
When a buyer asks an AI system which platform to use, the companies whose product does exactly what they need are frequently absent from the answer. Not because the product is wrong. Because the content is structured for human readers, not for AI systems.
We scanned 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 that AI systems could not parse into a confident recommendation. The gap between where companies are and where they need to be is significant, and almost entirely fixable.
Every competitor in this space monitors AI visibility. They show you a dashboard, tell you your score, and leave you to figure out what to do next. Narvia is the only platform that scores and fixes in a single workflow. Every engagement includes rewritten content, structured for AI citation, ready to publish.
The outcome is not a better score. It is a company that AI systems can find, understand, and recommend.
Narvia is built for B2B SaaS companies globally. API platforms, connectivity infrastructure, workflow tools, open banking, compliance technology, HR tech, payments infrastructure. Any company where being recommended by AI to a technical or commercial buyer has direct and measurable pipeline impact.
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. The direction we are building toward is continuous intelligence — a system that monitors every brand touchpoint across AI environments, identifies emerging gaps as the AI landscape shifts, and delivers fixes without waiting to be asked.
The companies that build AI discoverability as an ongoing operational practice — not a one-off engagement — will compound a structural advantage over the ones 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. If that conversation is relevant to your organisation, get in touch.
Lilian spent over a decade leading marketing at enterprise B2B technology companies across Europe, the Middle East and Africa. She built 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 Asset Management, and working directly on fintech platform delivery at Temenos Multifonds across multiple platform migrations. He holds the Luxembourg business permit as gestionnaire (Autorisation d’établissement) and brings an institutional network built from years inside regulated Luxembourg 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.