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AskWatch vs Langfuse
Observability for LLM apps, not brand mention tracking
AskWatchSee if AI recommends you or your competitors..png?width=96)
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick AskWatch if you want…
- AI brand mention tracking
- Integrations with ChatGPT, Google AI Overviews or Google AI Mode (on AskWatch's list, not Langfuse's)
Pick Langfuse if you want…
- LLM observability & analytics
- A free plan to start with (Hobby)
- Open-source code (langfuse/langfuse on GitHub)
- Integrations with Python, TypeScript or Go (on Langfuse's list, not AskWatch's)
Side by side
- What it is
- AskWatch:AskWatch tracks AI engine answers to see if your brand is mentioned and helps improve AI visibility.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- AskWatch:AI brand mention tracking
- Langfuse:LLM observability & analytics
- Who it’s for
- AskWatch:Marketers, agencies, and brand teams that need AI visibility.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- AskWatch:Paid
- Langfuse:Freemium
- Plans
- AskWatch:Monitor $100/ mo per month
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- AskWatch:—
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- AskWatch:ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Copilot, Gemini
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
AskWatch features
- Visibility tracking. Shows the share of AI answers that mention your brand across six engines.
- Position analysis. Shows where your brand appears in the answer (first, last, etc.).
- Sentiment monitoring. Reports how AI describes your brand and flags outdated or negative language.
- Source insights. Lists the pages and domains AI trusts when generating answers for your category.
- Autopilot agents. Writer, Scout, and Publisher agents create content and place guest posts based on gaps.
- API & MCP server. Provides REST API and MCP server to pull visibility data into your own tools.
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
AskWatch vs Langfuse FAQ
Is AskWatch or Langfuse free?+
AskWatch is paid, from $100/month (Monitor), with a free trial. Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Which is cheaper, AskWatch or Langfuse?+
Langfuse is cheaper to start with: Langfuse's Core plan ($29/month) against AskWatch's Monitor plan ($100/month).
Is AskWatch or Langfuse open source?+
Langfuse is open source (langfuse/langfuse on GitHub). DevHunt has no public source repository on record for AskWatch.
Do AskWatch and Langfuse integrate with the same tools?+
Their integration lists don't overlap: AskWatch lists ChatGPT, Google AI Overviews, Google AI Mode, Perplexity and 2 more; Langfuse lists Python, TypeScript, Go, Java and 10 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.