Langfuse

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What the AI platforms say after searching the web.

Mention Share % (latest day)
0.79% -0.02 pp ▼

Mentions (latest day)
1

Total Mentions
26

Avg Rank (latest day)
7.0

Latest tracking day
2026-07-07

Domain Authorityⓘ
49.58 verifiedpolyline

langfuse.com · authority unverified

Knowledge Graph Google · unverified ⓘ

Langfuse GmbH — Company

Daily Mentions Trendⓘ

Average Rankⓘ

By Platformⓘ

Platform	Langfuse	Algoroo	Δ mentions
OpenAI	15 rank 7.93	92 rank 6.87	+77
Google	10 rank 6.1	94 rank 6.64	+84
Anthropic	0	4 rank 4.5	+4

Daily Citations Trendⓘ

Citation Shareⓘ

	Langfuse	Algoroo	Δ
Citations	0	14	+14
Citation share	0.0%	0.2%	—
Blended Share of Voice	0.1%	1.1%	+1.0

Of 6,706 selected citations, all-time. Δ is Algoroo minus Langfuse (green means your owned brand leads); bars show citations by platform.

Recent Mentionsⓘ

Date	Platform	Mentioned For	Rank	Sentiment	Context
2026-07-07	OpenAI	Algorithm monitoring	7	—	Langfuse Open-source-friendly option for LLM observability, tracing, prompt monitoring, and cost tracking.
2026-07-04	OpenAI	Algorithm monitoring	9	—	Langfuse Open-source-oriented LLM observability for traces, prompts, evaluations, latency, and cost monitoring.
2026-07-03	Google	Algorithm monitoring	6	—	Langfuse An open-source LLM engineering and monitoring platform, this brand helps developers track prompt and response pairs, manage prompt versioning, and monitor algorithm execution costs across deployments.
2026-07-01	OpenAI	Algorithm monitoring	6	—	Langfuse Open-source observability platform focused on LLM apps, prompt tracking, traces, evaluations, and usage analytics.
2026-06-30	Google	Algorithm monitoring	6	—	Langfuse Offers an open-source LLM engineering and observability platform that helps developers track, manage, and debug complex AI applications. It provides detailed trace viewing, prompt versioning, and cost tracking to optimize the performance of conversational AI and agentic workflows.
2026-06-29	OpenAI	Algorithm monitoring	9	—	Langfuse Open-source LLM observability option for tracing, prompt monitoring, cost tracking, and debugging AI applications.
2026-06-28	Google	Algorithm monitoring	6	—	Langfuse An open-source LLM engineering and monitoring platform that provides detailed tracing, prompt management, and cost tracking. It is ideal for teams looking for deep visibility into generative AI pipelines and multi-step agentic workflows.
2026-06-27	OpenAI	Algorithm monitoring	5	—	Langfuse Open-source-friendly option for LLM observability, prompt tracing, cost monitoring, evaluations, and debugging AI app behavior.
2026-06-18	OpenAI	Algorithm monitoring	8	—	Langfuse Open-source-friendly LLM observability option for tracing prompts, generations, costs, latency, and quality metrics.
2026-06-15	OpenAI	Algorithm monitoring	4	—	Langfuse Open-source option for LLM observability, prompt tracking, cost monitoring, traces, and production debugging.
2026-06-14	Google	Algorithm monitoring	5	—	Langfuse An open-source LLM engineering and observability platform designed specifically for monitoring, evaluating, and debugging prompt-response pairs, agentic workflows, and complex language model algorithms.
2026-06-12	OpenAI	Algorithm monitoring	8	—	Langfuse A strong open-source-oriented choice for LLM observability, prompt tracking, traces, evaluations, and production monitoring. It is especially attractive for teams that want self-hosting options or more control over LLM telemetry.
2026-06-10	OpenAI	Algorithm monitoring	8	—	Langfuse A developer-friendly choice for LLM observability, prompt tracing, evaluation, latency tracking, cost monitoring, and debugging AI application behavior. It is often recommended for teams that want open-source or self-hostable observability options. (deploygraph.com)
2026-06-10	Google	Algorithm monitoring	9	—	Langfuse An open-source LLM engineering and observability platform that allows developers to trace algorithm execution, monitor prompt-response pairs, and track model costs.
2026-06-09	Google	Algorithm monitoring	4	—	Langfuse An open-source LLM engineering and observability platform designed to trace prompt-and-response pairs, track user feedback, and monitor model performance metrics.
2026-06-07	OpenAI	Algorithm monitoring	10	—	Langfuse A popular open-source-oriented option for monitoring LLM apps, prompts, traces, token usage, latency, cost, user sessions, and evaluations. It is especially attractive for engineering teams that want transparency and self-hosting flexibility.
2026-06-04	OpenAI	Algorithm monitoring	9	—	Langfuse A strong choice for teams that want open-source LLM observability with tracing, prompt tracking, evaluations, usage analytics, and debugging for AI applications. It is especially useful for monitoring generative AI systems and understanding how prompts, chains, and agents behave. (xseek.io)
2026-05-27	OpenAI	Algorithm monitoring	9	—	Langfuse A strong open-source option for LLM observability, including traces, prompt monitoring, evaluations, cost tracking, latency analysis, and user feedback. It is a good fit for teams that want visibility into generative AI workflows without fully depending on a closed platform.
2026-05-26	Google	Algorithm monitoring	5	—	Langfuse An open-source, self-hostable LLM engineering and observability platform that provides detailed trace visualization, prompt versioning, and cost tracking, making it ideal for teams with strict data sovereignty requirements.
2026-05-23	Google	Algorithm monitoring	4	—	Langfuse This open-source, self-hostable LLM engineering platform is a favorite for teams with strict data privacy requirements, offering robust tracing, prompt management, and cost tracking that can be deployed entirely on-premise.
2026-05-19	Google	Algorithm monitoring	9	—	Langfuse Specifically tailored for the new wave of generative AI, this open-source brand provides observability for LLM applications, including trace viewing, prompt versioning, and cost tracking for complex agentic workflows.
2026-05-18	Google	Algorithm monitoring	7	—	Langfuse This brand offers an open-source engineering platform specifically for LLM applications, providing detailed tracing, prompt management, and evaluation metrics to monitor how conversational algorithms behave.
2026-04-22	OpenAI	Algorithm monitoring	8	—	Langfuse
2026-04-21	OpenAI	Algorithm monitoring	9	—	Langfuse
2026-04-15	OpenAI	Algorithm monitoring	10	—	Langfuse — LLM app observability (tracing, logs, metrics); good if “algorithm monitoring” means LLM workflow monitoring. (galileo.ai)