AI Recommends Companies.  Brands. Does It Recommend Yours?

You provide two things: a question (e.g. 'Which CRM should a growing startup use?') and a description of your target audience (e.g. 'Operations managers in US tech companies, 50–500 employees'). You can also start from a category or a brand you care about. SonarLens generates realistic profiles matching your audience. It then sends your question to ChatGPT and Google Gemini as each of those profiles, with their full demographic and psychographic context injected as memory. Each AI answers as if talking to that specific person. SonarLens extracts every brand mention, source citation, and reasoning pattern and compiles them into a structured report. You get results in minutes.

You describe your target audience in plain language — like 'Runners in Germany, aged 25–50, mix of casual evening runners and competitive marathon trainers.' SonarLens generates profiles that match your description, drawing on real panel data to ensure demographic realism. Each profile includes: full name, age, gender, location, occupation, income, education, life stage, family situation, hobbies, consumer behavior patterns, digital habits, values, and more. When SonarLens runs your study, it injects each profile's full background into the AI as memory — so the AI answers as if speaking to that specific, complete person rather than giving a generic response.

SonarLens currently supports OpenAI (ChatGPT) and Google (Gemini). We run your study automatically across both simultaneously. Your report shows both combined totals and per-model breakdowns so you can see exactly where the models agree, and where they don't.

Reports are sold by size: Small (50 profiles), Medium (100 profiles), and Large (200 profiles), with an optional add-on per brand deep-dive. You can pay per report with a card, or buy credit packages (10 credits = 1 USD) for a discount. Before you launch any study, you see the full cost. There is no monthly subscription for one-off reports — you only pay for what you run. For ongoing monitoring, Tracker subscriptions run at a fixed monthly price.

Most studies complete within a few minutes. A 100-profile study across ChatGPT and Gemini typically finishes in 3–8 minutes. Larger studies (200+ profiles) may take up to 20–30 minutes. You can navigate away while it runs — your results will be waiting for you when you return.

Yes. You can re-run the same study on any schedule and compare results manually. For automated monitoring, use Trackers: they re-run your category and brand studies on a regular schedule (e.g. monthly) so you see how your brand's recommendation share and sentiment change over time without lifting a finger. This is particularly useful for measuring the impact of launches or campaigns.

All study data is private by default and only visible to you. Your questions, audience descriptions, and results are never shared with other users or used to train AI models. We use industry-standard encryption for data in transit and at rest.

Yes. Each study can be made public with a single click, generating a shareable read-only link. Visitors can browse the full report but cannot access your account or other studies. This is useful for presenting findings to leadership, investors, or clients. You can make a study private again at any time.

Enter your email and we send a one-time login code — no password needed. If you don't have an account yet, it's created automatically after verification. You can start your first study within minutes of signing up.