Search is becoming answering.
For two decades, brands optimized for ten blue links. Now buyers ask an AI and act on a single synthesized answer. We built Quolens to make that answer measurable.
The answer is the new homepage.
When ChatGPT, Gemini or Perplexity answer a buying question, they rarely show ten options. They synthesize one. If your brand isn’t in that answer — or is described from stale training data — you lose the deal before a human ever visits your site.
Worse: the same engine often gives a different answer with web search on versus off. That’s the gap between what the model believes about you and what it can verify. Nobody was measuring it cleanly. So we did.
“We don’t just tell you which sources an engine cited. We show you what it would say with no sources at all — and the difference is your roadmap.”
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Generative engines in the base pool
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Repeats per question for a Confidence Score
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Markets, one live reading
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To your first live reading
Principles, not buzzwords.
Architectural honesty
We publish how every engine is measured — API vs scrape, grounded vs not. No black box, no vague "proprietary" hand-waving.
The split is the story
Everyone reports which sources got cited. We lead with the gap between what a model knows and what it retrieves. That delta is the insight.
EU-built, globally available
Privacy-first and EU-hosted by default, with readings across 41+ markets from day one. Built in Europe, available worldwide.
Open by default
A free public API and a generous free tier. Your visibility data is yours to script against — not an enterprise upsell.
Built in Europe. Watching worldwide.
We’re a small, product-led team, EU-built and GDPR-first, with readings across 41+ markets from day one. We obsess over citation-grade parsing on the nine engines that matter, instead of racing to count engines nobody checks.
Want to compare notes on GEO, or partner on a market? hello@quolens.ai
EU
Hosted & GDPR-first
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Markets at launch
Global
Available worldwide
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Base engines, deeply parsed
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