{"slug": "oneglanse", "title": "OneGlanse", "summary": "OneGlanse has launched as a self-hostable, MIT-licensed tool that tracks how brands appear in AI-generated answers from ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview. Unlike API-based trackers, OneGlanse collects responses through browser automation against the actual product interfaces, then sends the captured text to a user-configured model endpoint (OpenAI, Anthropic, or a compatible endpoint) to score visibility, rank, sentiment, and recommendation strength. The tool runs entirely in infrastructure the user controls, with no subscription or usage fee, leaving provider accounts, model API usage, and hosting as the user's own costs.", "body_md": "Open Source Alternative to:\n\nLast 30 days\n\nLast commit\n\nRepository age\n\nLicense\n\nSelf-hosted\n\nRepository\n\nOneGlanse is built for marketing teams who want to know how their brand appears in AI-generated answers across the major AI products. It's a self-hostable, MIT-licensed tool for [AI visibility tracking](https://openalternative.co/categories/business-software/marketing-customer-engagement/ai-visibility-tracking), sometimes called GEO (Generative Engine Optimization), covering ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview.\n\nThe core approach sets it apart from API-based trackers. Collection uses browser automation against the actual product interfaces, not provider APIs. That distinction matters because product interfaces and their underlying APIs can return different wording, ordering, and citations. What you capture is what a real user would see.\n\nAfter collection, captured response text is sent to a model endpoint you configure (OpenAI, Anthropic, or a compatible endpoint) for analysis. Scores for visibility, rank, sentiment, and recommendation strength are model-backed interpretations of that sampled text, not official measurements from the AI products.\n\nKey capabilities:\n\nEverything runs in infrastructure you control. In local mode, all data stays on your machine. In self-host mode, you deploy the web app, worker, queue, and data services yourself. No subscription, no usage fee. Provider accounts, model API usage, and hosting are your own costs.\n\nFor teams already tracking [CRM](https://openalternative.co/crm) performance or running competitive research, OneGlanse adds a layer that shows how brand narratives are forming inside AI answers before those narratives harden. Alternatives like [Otterly.AI](https://openalternative.co/alternatives/otterly-ai) or [Peec AI](https://openalternative.co/alternatives/peec-ai) exist in this space, but OneGlanse's browser-based collection and fully auditable codebase make it a credible choice for teams that can't send prompt data to a third-party platform.\n\nEvery Sunday we deconstruct one proprietary app and pick the best open source alternatives worth switching to.\n\nStars\n\nCompare with", "url": "https://wpnews.pro/news/oneglanse", "canonical_source": "https://openalternative.co/oneglanse?utm_source=openalternative.co&utm_medium=rss", "published_at": "2026-10-19 14:00:00+00:00", "updated_at": "2026-10-19 14:44:23.302965+00:00", "lang": "en", "topics": ["generative-engine-optimization", "ai-search", "ai-tools", "ai-products"], "entities": ["OneGlanse", "ChatGPT", "Perplexity", "Gemini", "Claude", "Google AI Overview", "OpenAI", "Anthropic"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/oneglanse", "markdown": "https://wpnews.pro/news/oneglanse.md", "text": "https://wpnews.pro/news/oneglanse.txt", "jsonld": "https://wpnews.pro/news/oneglanse.jsonld"}}