Open Source Promptwatch Alternatives

Notra is a Generative Engine Optimization (GEO) platform built for marketing teams and founders who want to know whether AI assistants recommend their brand when buyers ask for solutions. Instead of guessing, it runs your chosen prompts against ChatGPT, Claude, Gemini, and Perplexity with live web search enabled, then stores the full answers so you can see exactly what each engine said, where your brand appeared, and which competitors took the spots you didn't.

The dashboard tracks four core metrics:

• Mention rate by engine shows what percentage of scans included your brand, your average list position, and how both have shifted since the last run.
• Share of voice maps which brands get named when you don't, broken down per prompt, language, and engine. You add competitors and their common misspellings, and Notra handles the rest.
• AI traffic attribution separates crawler fetches from genuine citations and human referrals. A bot indexing your site for training isn't the same as an assistant citing your page while answering a buyer, and Notra labels them differently across 66 known AI agents.
• Content gaps surfaces the prompts where engines answer without mentioning you, ranked by how winnable each opportunity looks. Pick a gap and the built-in writer drafts a guide, listicle, or comparison using your brand identity, sitemap, and competitor data.

Every scan stores the complete engine response, not just a score. You can open any prompt, read the full answer, see which pages the engine cited, and even send a follow-up in the thread to test whether your recommendation survives a buyer pushing back.

Traffic tracking works without a script tag. It runs as middleware in Next.js, Nuxt, Astro, TanStack Start, or SvelteKit, and human traffic is dropped before anything is stored. Zero data retention is available as an add-on for teams with compliance requirements, restricting scans to model providers that support ZDR.

Plans are tiered by the number of AI answers tracked per month, starting at 2,000 on Starter and scaling to unlimited on Enterprise.

OneGlanse 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, sometimes called GEO (Generative Engine Optimization), covering ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview.

The 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.

After 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.

Key capabilities:

• Visibility scoreboard: Compare presence rate, average rank, mention count, and sentiment across competitors in one view.
• Citation tracking: Inspect which domains and URLs appear in captured answers, how often, and across which providers.
• AI Perception analysis: Surface recurring themes, key claims, and differentiators that the analysis model finds in captured responses.
• Multi-provider prompt runs: Submit one prompt set across all five supported interfaces and compare results side by side.
• ClickHouse analytics: Query raw captured responses, citations, and analysis data directly.

Everything 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.

For teams already tracking 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 or 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.