GEO tracking tools like Semrush, Ahrefs, and BrightEdge report AI-visibility scores. What they skip is the actual text an LLM produced when someone asked about your brand: which chatbot ranked you first, whether Perplexity cited a competitor instead, and what sentiment each model attached to your name. OneGlanse captures that raw output.
How it works
OneGlanse monitors five AI platforms: ChatGPT, Gemini, Perplexity, Claude, and Google AI Overview. It drives real browser sessions through Camoufox, an anti-fingerprint Firefox build powered by Playwright, rather than calling private APIs. The responses it records are identical to what your customers see.
GEO scoring
Each query produces a score broken into four components:
- Visibility: how often your brand appears in AI responses
- Sentiment: the tone attached to your brand mentions
- Rank: your position relative to competitors in the same response
- Recommendation likelihood: whether the model actively suggests your product
Each component scores from 0 to 100.
Privacy and self-hosting
All data stays in your infrastructure. The project is MIT licensed. The only outbound signal is an anonymous SHA-256 hash for basic telemetry. There is no hosted version by design: querying AI systems through authenticated browser sessions requires a local context that cannot be offloaded to a shared server.
Tech stack
The stack runs on Next.js 15, React 19, tRPC, ClickHouse for analytics, PostgreSQL 16, and Redis with BullMQ for job queuing. A quick-start command (pnpm local) gets you running in minutes. Docker is available for persistent deployments; VPS installs with residential proxies deliver the most reliable query results.
Best for
- SEO and content teams tracking brand representation across AI chatbots
- Founders who want raw model output rather than an AI-visibility dashboard
- Teams running competitive intelligence on how LLMs describe their product category
