When someone asks ChatGPT or Google for a plumber in Lyon 6e, SovaLens tells you if your client is the answer. Weekly tracking, white-label monthly reports — GEO proof-of-work under your brand.
Same customer, same question — a different winner.
What I really miss is a proper reporting functionality I can use for my customers — right now it is mostly a manual process.
8% (±4) is honest. 8% is not.
Every number is sampled across N runs and reported with a range — and we’ll tell you what doesn’t work.
Your domain. Your logo. Your line item. Clients never see us.
Flat monthly price. No per-prompt fees, no per-client surprises. Founding agencies get 40% off their first 3 months, a sample report on a real client first, and a say in the roadmap.
A single answer is. That’s why we never report one. Every number is sampled across 25+ runs per engine and shown with a range — and week-over-week trends are stable enough to act on. When a change is inside the noise, your report says so instead of celebrating it.
A 6-page branded PDF per client (score with range, per-engine results, prompt matrix, cited sources, action plan, methodology) and a live white-label portal your client can open anytime. You present it; we stay invisible.
They track Google rankings and map grids — brilliantly. We track what AI assistants ANSWER when your client’s customers ask for a recommendation: ChatGPT, Google AI, Gemini, Perplexity — sampled weekly, white-label. Different question, different data.
No. Your logo, your colors, your domain on the report and portal. White-label is the product, not a tier.
The first 20 agencies: 40% off forever, a direct line to the founder, and your feature requests shape the roadmap. In return we ask for honest feedback monthly.
It’s built for geo-bounded demand — “best dentist in Austin”, “plombier urgence Lyon 6e” — because that’s where AI answers differ city by city and where single-city prompt packs keep pricing flat. Agencies with a national or e-commerce client can request a brand pack; it’s the same engine with country-level sampling.