# Traceloop AI visibility in LLM Observability Evals & Gateways

Canonical: https://devtune.ai/verticals/llm-observability-evals-gateways/traceloop

[Website](https://www.traceloop.com/)

Latest AI responses: 2026-10-29
Prompts: 25
Runs: 5


## Platforms

- google-ai
- google-ai-mode
- chatgpt-search
- perplexity
- bing-copilot-search

Rank: 10
Total brands: 11
Measured responses: 125
Presence percent: 1.6
Share of voice percent: 0.6153846153846154
Average position: 1
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 4.8


## Profile

Overview: Traceloop is an LLM observability and evaluation platform founded in 2022 and headquartered in Tel Aviv, Israel. Built by ML engineers from Google and Fiverr, it helps development teams monitor, debug, and continuously improve LLM-powered applications in production. Its open-source SDK, OpenLLMetry—built on OpenTelemetry—provides one-line-of-code instrumentation and became a widely adopted standard with over 6.8k GitHub stars and 500K monthly installs. The commercial platform adds built-in and custom evaluators, drift detection, CI/CD-integrated quality gates, prompt management, and an experiment framework. Traceloop supports 20+ LLM providers, major vector databases, and AI frameworks. It is SOC 2 and HIPAA compliant with cloud, on-prem, and air-gapped deployment options. In March 2026, Traceloop was acquired by ServiceNow to power its AI Control Tower governance platform.
Product summary: Traceloop is an LLM reliability and observability platform that turns LLM logs, traces, and evaluations into a continuous feedback loop for production AI applications. Its core is OpenLLMetry, an open-source OpenTelemetry extension that instruments LLM calls, vector DB queries, and agent actions in Python, TypeScript, Go, and Ruby. On top of this telemetry layer, the Traceloop platform provides built-in quality evaluators (faithfulness, relevance, safety, PII/toxicity detection), trainable custom evaluators, real-time drift monitoring, automated CI/CD quality gates, prompt management, and an experiment framework for model and prompt comparisons—all deployable in cloud, on-prem, or air-gapped environments.


### Key capabilities

- OpenTelemetry-based LLM tracing via open-source OpenLLMetry SDK (Apache-2.0)
- Single-line-of-code instrumentation for prompts, responses, latency, and metadata
- Built-in evaluators for faithfulness, relevance, safety, PII detection, toxicity, and JSON/SQL/code validation
- Custom evaluator training using annotated production examples
- Real-time production monitoring with drift detection and quality alerts
- CI/CD integration for automated quality gates on pull requests
- Experiment framework for data-backed model and prompt comparison
- Prompt management registry with version control
- On-premises, air-gapped, and hybrid deployment options
- SOC 2 and HIPAA compliance



### Target users

- AI/ML engineers building and operating LLM-powered applications
- Platform and DevOps engineers overseeing LLM infrastructure in production
- Enterprise GenAI product teams requiring compliance and governance
- Data scientists and prompt engineers iterating on model and prompt quality



### Key use cases

- Production monitoring of LLM outputs for quality regressions and drift
- RAG pipeline tracing and debugging
- AI agent observability across complex multi-step workflows
- Automated prompt regression testing in CI/CD pipelines
- Model migration evaluation and A/B comparison
- LLM cost and latency tracking across providers
- Enterprise AI governance and compliance auditing
- Gradual rollout of prompt and model changes with data-backed confidence

Integrations ecosystem: Traceloop integrates with 20+ LLM providers including OpenAI/Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, IBM Watsonx AI, Mistral AI, Cohere, Groq, Ollama, HuggingFace, Replicate, Vertex AI, SageMaker, and Together AI. Vector DB support includes Pinecone, Chroma, Weaviate, Qdrant, Milvus, LanceDB, and Marqo. Framework integrations cover LangChain, LangGraph, LlamaIndex, CrewAI, Haystack, LiteLLM, OpenAI Agents, Agno, AWS Strands, and MCP. OpenLLMetry outputs to 25+ observability backends including Datadog, Dynatrace, Grafana, Honeycomb, New Relic, Splunk, Sentry, IBM Instana, Azure Application Insights, Google Cloud, and ServiceNow Cloud Observability. CI/CD integration is available via GitHub Actions. Platform is purchasable on AWS, GCP, and Azure Marketplaces. Native integrations for PostHog and Slack alerts are also documented.
Pricing summary: Free tier available at $0/month supporting up to 50,000 spans/month, up to 5 seats, 24-hour data retention, and access to all core features including monitoring, evaluation, CI/CD integration, and prompt management. Enterprise tier is custom-priced (contact sales) and includes more than 50,000 spans/month, unlimited seats, custom data retention, SOC 2 compliance, on-premises deployment, and dedicated Slack support. OpenLLMetry open-source SDK is free under Apache-2.0 license and can connect to 25+ third-party observability platforms at no cost. Traceloop is available for purchase on AWS, GCP, and Azure Marketplaces.
Review summary: No verified aggregate numerical review scores for Traceloop were found on G2, Gartner Peer Insights, or comparable platforms at the time of research. Community sentiment inferred from press coverage, investor quotes, and customer testimonials is positive, highlighting ease of integration, open-standards approach, and enterprise reliability. Analyst recognition includes a Gartner Cool Vendor designation. Third-party review aggregators list the product but do not yet surface verified scored reviews.
Competitive positioning: Traceloop positions itself as the open-standards-first LLM observability and evaluation platform, differentiated by its OpenTelemetry-grounded open-source SDK (OpenLLMetry) that became a de facto community standard with 6.8k+ GitHub stars and 500K+ monthly installs. Its core pitch is developer-simplicity ('one line of code, full observability') paired with enterprise-grade features (SOC 2, HIPAA, air-gapped deployment). Unlike proprietary observability tools, Traceloop avoids vendor lock-in by piping to 25+ existing observability backends. It targets enterprise teams needing continuous, automated eval-to-monitor feedback loops rather than ad-hoc spreadsheet-based quality checks. Traceloop was recognized as a Gartner Cool Vendor and was acquired by ServiceNow in March 2026 to power its AI Control Tower governance platform, signaling strong enterprise validation.
Limitations: Traceloop is purpose-built for LLM observability and evaluation; it does not cover broader ML lifecycle stages such as data preparation, feature engineering, or model training, requiring complementary tooling for end-to-end MLOps. The free tier is restricted to 50,000 spans per month and 5 seats with only 24-hour data retention, which may be insufficient for high-volume production workloads. Enterprise pricing is custom and not publicly disclosed. The platform may overlap with existing APM and logging infrastructure, requiring integration decisions. As of March 2026 the company has been acquired by ServiceNow, and future product roadmap and standalone availability are subject to change under new ownership.


### Source urls

- https://www.traceloop.com/
- https://www.traceloop.com/pricing
- https://traceloop.com/docs/introduction
- https://traceloop.com/blog/traceloop-is-joining-servicenow
- https://github.com/traceloop/openllmetry
- https://thenewstack.io/traceloop-launches-an-observability-platform-for-llms-based-on-openllmetry/
- https://www.businesswire.com/news/home/20250527864827/en/Traceloop-Launches-to-Replace-Vibes-and-Prompting-With-Data-and-Insight
- https://www.calcalistech.com/ctechnews/article/sjghwiqf11e
- https://entrepreneurloop.com/servicenow-acquires-traceloop-ai-governance-acquisition/
- https://www.cbinsights.com/company/traceloop
- https://tracxn.com/d/companies/traceloop/__8bsJrJFBRg7Ji1Qw0vprNSNgf78l7BtMfAYjWfZ-S_I
- https://aws.amazon.com/marketplace/pp/prodview-oyluqesay6yoy

Research approved: 2026-05-06T17:53:55.413+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| IBM | IBM integrated OpenLLMetry with its Instana observability platform to monitor the performance of large language models running on Amazon Bedrock and IBM watsonx.ai, helping teams understand how AI applications behave in real-world conditions. | Not available |
| Miro | Miro uses Traceloop to gain real-world performance visibility across millions of conversations, flag critical edge cases at scale, and confidently experiment with and migrate to new models in production. | Not available |



### Reviews breakdown





### Review themes



#### Praised

- One-line-of-code setup and fast time-to-value
- OpenTelemetry open standards with no vendor lock-in
- Wide LLM provider and framework coverage
- Built-in evaluators requiring zero test configuration
- CI/CD integration for automated quality gates
- On-prem and air-gapped deployment flexibility
- Active open-source community and contributor base
- SOC 2 and HIPAA compliance for enterprise use



#### Criticized

- Narrow scope limited to LLM observability, not full ML lifecycle
- Free tier span and seat limits may be insufficient for production scale
- May overlap with existing APM and logging infrastructure
- Enterprise pricing is opaque and requires sales contact
- Future product roadmap uncertain following ServiceNow acquisition




### Company facts

Founded year: 2022
Hq: Tel Aviv, Israel


#### Founders

- Nir Gazit
- Gal Kleinman

Employees range: 11-50
Total funding: $6.6M
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Acquired by ServiceNow (March 2026)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Arize AI | 39 | 125 | 31.2 | 6.011904761904762 |
| Langfuse | 35 | 125 | 28.000000000000004 | 4.298701298701299 |
| Braintrust | 30 | 125 | 24 | 4.615384615384615 |
| LangChain | 20 | 125 | 16 | 3.909090909090909 |
| LiteLLM | 19 | 125 | 15.2 | 4.75 |
| Portkey | 6 | 125 | 4.8 | 3.727272727272727 |
| Confident AI | 5 | 125 | 4 | 4.166666666666667 |
| Galileo | 5 | 125 | 4 | 6.5 |
| Helicone | 3 | 125 | 2.4 | 8.2 |
| Traceloop | 2 | 125 | 1.6 | 1 |
| Patronus AI | 1 | 125 | 0.8 | 5 |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| google-ai | 0 | 0 |
| google-ai-mode | 2 | 8 |
| chatgpt-search | 0 | 0 |
| perplexity | 0 | 0 |
| bing-copilot-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which LLM observability tools work with OpenTelemetry-compatible backends so we can consolidate LLM traces alongside existing service traces? | 1 | 1 |
| What's the fastest LLM tracing platform for instrumenting a Python-based agent framework without rewriting existing code? | 1 | 1 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which LLM observability platforms integrate natively with the most popular agent frameworks so traces appear automatically with no manual instrumentation? | 5 |
| What platforms support end-to-end tracing of multi-agent pipelines including tool calls, retrieval steps, and sub-agent spawning? | 5 |
| Which LLM tracing platforms make it easiest to replay a failed multi-step agent run and pinpoint exactly where reasoning went wrong? | 4 |
| What LLM gateway tools integrate best with secret managers and internal auth systems for enterprise teams rolling out to multiple product teams? | 4 |
| Which LLM eval platforms have the best prompt playground experience for iterating on system prompts against a saved test dataset? | 4 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 0 |
| Developer Experience | 5 | 0 |
| Integrations & Ecosystem | 5 | 1 |
| Performance & Reliability | 5 | 0 |
| Setup & First Run | 5 | 1 |



## Prompt results

- Prompt text: Which LLM observability tools handle PII redaction and data masking in traces for teams with HIPAA or GDPR compliance requirements?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Langfuse | 6 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Braintrust | 1 |
| Langfuse | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Arize AI | 4 |
| Braintrust | 9 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LangChain | 1 |
| Langfuse | 2 |
| Arize AI | 7 |



##### Bing-copilot-search




- Prompt text: Which LLM observability tools work with OpenTelemetry-compatible backends so we can consolidate LLM traces alongside existing service traces?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: 1
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Braintrust | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Traceloop | 1 |
| Arize AI | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| LiteLLM | 3 |
| Arize AI | 6 |
| Braintrust | 11 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Langfuse | 2 |
| Arize AI | 4 |



##### Bing-copilot-search




- Prompt text: What LLM tracing platforms handle high-throughput production workloads — millions of traces per day — without degrading query performance?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Galileo | 1 |
| Braintrust | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Arize AI | 2 |



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| LangChain | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Braintrust | 4 |


- Prompt text: Which LLM eval platforms support async evaluation at scale without blocking the inference path or adding latency for end users?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Braintrust | 1 |



##### Google-ai-mode





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Braintrust | 4 |
| Arize AI | 8 |
| Galileo | 10 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LangChain | 2 |
| Langfuse | 3 |
| Arize AI | 4 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Arize AI | 4 |
| Galileo | 6 |


- Prompt text: Which LLM observability platforms stay reliable under traffic spikes from batch eval jobs running thousands of LLM calls simultaneously?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| LangChain | 3 |
| Arize AI | 15 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Arize AI | 2 |



##### Bing-copilot-search




- Prompt text: I'm evaluating LLM gateway solutions for a startup — which ones have the simplest self-hosted setup with a working UI on day one?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LiteLLM | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |
| Portkey | 5 |



##### Bing-copilot-search




- Prompt text: Which evaluation platforms for LLM outputs are easiest to plug into an existing CI pipeline for a five-engineer team?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Braintrust | 2 |



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| LangChain | 6 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Confident AI | 1 |
| Arize AI | 2 |


- Prompt text: What are the most production-hardened LLM gateway options for an enterprise team needing 99.9% uptime with circuit-breaker support?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Braintrust | 2 |



##### Google-ai-mode





##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |



##### Bing-copilot-search




- Prompt text: Which LLM tracing platforms make it easiest to replay a failed multi-step agent run and pinpoint exactly where reasoning went wrong?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Braintrust | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| LangChain | 2 |
| Braintrust | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LangChain | 1 |
| Arize AI | 3 |
| Langfuse | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LangChain | 1 |
| Arize AI | 2 |
| Langfuse | 4 |



##### Bing-copilot-search




- Prompt text: What LLM observability tools do ML engineering teams typically use to annotate and review production traces for quality feedback?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Confident AI | 1 |



##### Google-ai-mode





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LangChain | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Arize AI | 3 |
| Braintrust | 5 |



##### Bing-copilot-search




- Prompt text: Which LLM gateways add the least latency overhead when routing between LLM providers — safe to use in production for sub-500ms SLAs?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LiteLLM | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |



##### Bing-copilot-search




- Prompt text: What LLM gateway tools integrate best with secret managers and internal auth systems for enterprise teams rolling out to multiple product teams?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LiteLLM | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |
| Portkey | 4 |



##### Bing-copilot-search




- Prompt text: Which LLM eval platforms have the best prompt playground experience for iterating on system prompts against a saved test dataset?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Braintrust | 2 |
| Arize AI | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Arize AI | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Braintrust | 1 |
| Langfuse | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Braintrust | 1 |
| LangChain | 3 |
| Langfuse | 6 |



##### Bing-copilot-search




- Prompt text: Which LLM evaluation platforms support custom rubric-based scoring for domain-specific correctness beyond generic faithfulness metrics?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Galileo | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Galileo | 3 |



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| LangChain | 1 |
| Braintrust | 4 |



##### Bing-copilot-search




- Prompt text: Looking for an eval platform that supports automated safety and toxicity scoring on LLM outputs at scale — what are my options?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Braintrust | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Arize AI | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Arize AI | 3 |
| Patronus AI | 4 |



##### Bing-copilot-search




- Prompt text: Which LLM observability platforms integrate natively with the most popular agent frameworks so traces appear automatically with no manual instrumentation?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| LangChain | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Arize AI | 1 |
| LangChain | 2 |
| Langfuse | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 3 |
| Arize AI | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Arize AI | 1 |
| LangChain | 3 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Arize AI | 2 |


- Prompt text: I'm evaluating LLM eval platforms — which ones integrate with version control to tie prompt regressions back to specific code or config changes?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Braintrust | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Braintrust | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Braintrust | 1 |
| Langfuse | 2 |
| LangChain | 8 |
| Arize AI | 10 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Braintrust | 1 |
| Langfuse | 3 |
| LangChain | 4 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Confident AI | 1 |
| Arize AI | 5 |


- Prompt text: What are the best OpenTelemetry-compatible tracing backends for LLM apps that work out of the box without custom span parsing?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Braintrust | 2 |
| Langfuse | 3 |
| Arize AI | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LiteLLM | 2 |
| Arize AI | 4 |
| Langfuse | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Arize AI | 1 |
| Langfuse | 3 |



##### Bing-copilot-search




- Prompt text: What platforms support end-to-end tracing of multi-agent pipelines including tool calls, retrieval steps, and sub-agent spawning?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Arize AI | 2 |
| Langfuse | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Arize AI | 3 |
| Braintrust | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Arize AI | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Arize AI | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Braintrust | 2 |
| Arize AI | 3 |


- Prompt text: Which LLM gateways handle multi-provider fallback and automatic retries while preserving full trace context across the switch?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |
| Portkey | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |
| Portkey | 4 |
| Helicone | 11 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Portkey | 1 |
| LiteLLM | 5 |



##### Bing-copilot-search




- Prompt text: What's the fastest LLM tracing platform for instrumenting a Python-based agent framework without rewriting existing code?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: 1
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Traceloop | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 2 |
| Arize AI | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Arize AI | 1 |



##### Bing-copilot-search




- Prompt text: Which LLM observability platforms can a small team get running against a production RAG pipeline in under a day?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Braintrust | 1 |



##### Google-ai-mode





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Arize AI | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| LangChain | 2 |
| Arize AI | 3 |



##### Bing-copilot-search




- Prompt text: Which LLM tracing platforms export trace data to a data warehouse so analysts can run custom eval queries alongside product metrics?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LangChain | 1 |
| Braintrust | 2 |
| Langfuse | 4 |
| Helicone | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Arize AI | 9 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LangChain | 1 |
| Langfuse | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Confident AI | 4 |


- Prompt text: Which LLM gateway tools give developers the best real-time cost and token usage visibility across multiple LLM providers during development?


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LiteLLM | 2 |
| Portkey | 4 |



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| LiteLLM | 1 |
| Helicone | 6 |



##### Bing-copilot-search




- Prompt text: I'm looking for an LLM observability platform with a great team collaboration workflow — where engineers and PMs can both review trace quality without SQL knowledge.


#### Brand position by platform

Google-ai: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Confident AI | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Braintrust | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Braintrust | 3 |
| LangChain | 5 |
| Arize AI | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Langfuse | 1 |
| Braintrust | 4 |



##### Bing-copilot-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://www.traceloop.com/docs/openllmetry/integrations/otel-collector | LLM observability with OpenTelemetry Collector - traceloop | traceloop.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b47f69ae-9962-4274-829c-bf8a1c5e86b4/80d8d20cd453c5eb84019cbe28b60f8049aa6169.png | commercial | documentation | 3 | 3 |
| https://github.com/traceloop/openllmetry | GitHub - traceloop/openllmetry: Open | github.com | Not available | commercial | documentation | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which LLM observability tools work with OpenTelemetry-compatible backends so we can consolidate LLM traces alongside existing service traces? | google-ai-mode | Dedicated LLM Observability Tools with OTLP Support * * Traceloop (OpenLLMetry): Emits standard OTLP (HTTP/gRPC) out of the box. |
| What's the fastest LLM tracing platform for instrumenting a Python-based agent framework without rewriting existing code? | google-ai-mode | OpenLLMetry (by Traceloop) combined with OpenTelemetry auto-instrumentation is the fastest and most zero-friction solution for instrumenting a Python-based agent framework without rewriting your application code. |
| Which LLM observability tools work with OpenTelemetry-compatible backends so we can consolidate LLM traces alongside existing service traces? | chatgpt-search | OpenLLMetry (Traceloop): OpenTelemetry-based instrumentation for LLM providers and frameworks. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| google-ai | LangChain | ...zation rather than manual wrapper code for every tool or agent step), a few platforms stand out due to deep integrations with major agent frameworks (like LangChain/LangGraph, CrewAI, LlamaIndex, LlamaIndex Workflows, AutoGen, and the OpenAI Agents SDK). |
| google-ai-mode | Arize AI | Learn More: Review the Arize Auto-Instrumentation Docs on Arize AI. |
| google-ai-mode | LangChain | LangSmith (Best for LangChain & LangGraph) * * Supported Frameworks: LangChain, LangGraph, and native integrations with major LLM SDKs. |
| google-ai-mode | Langfuse | Langfuse (Best Open-Source / Modular Platform) * * Supported Frameworks: LlamaIndex, LangChain, LiteLLM, and OpenTelemetry integrations. |
| chatgpt-search | Langfuse | ...tracing guide](https://mlflow.org/docs/latest/genai/tracing/app-instrumentation/automatic/?utm_source=chatgpt.com) ## 2. Langfuse — broad integrations and open-source flexibility Langfuse lists native framework integrations for LangChain, LangGraph, C... |
| perplexity | LangChain | Arize Phoenix / Arize AX: Broad OpenInference coverage includes LangChain, LangGraph, LlamaIndex, AutoGen/AG2, and CrewAI, among many others. |
| google-ai-mode | Langfuse | AI Agent Observability, Tracing & Evaluation with LangfuseAI Observability Tools: 8 Platforms for Tracing AI Agents in 2026 The le... |
| chatgpt-search | Langfuse | Website: LangSmith ### 2. Langfuse Best open-source all-rounder Captures hierarchical traces with distinct observation types for agents, tools, model generations, chains, and retrieval. |
| bing-copilot-search | Braintrust | Leading options include MLflow, Braintrust, LangSmith, Langfuse, Arize AX/Phoenix, Helicone, ONES.com, and New Relic.[Best LLM Tracing Tools for Multi-Agent Systems in 2026 \| MLflow](https://mlflow.org/articles/best-llm-tracing-tools-for-multi-agent-s... |
| google-ai | Braintrust | Braintrust * Why it shines for replay: Braintrust focuses heavily on closing the loop between production failures and evaluation testing. |
| google-ai-mode | Langfuse | LLM Playground - LangfusePlayground - LangSmith - LangChainIterate in playgrounds - Braintrust * * * 1\. |
| google-ai-mode | LangChain | LLM Playground - LangfusePlayground - LangSmith - LangChainIterate in playgrounds - Braintrust * * * 1\. |



## Trend

Visibility delta: -0.7999999999999998
Avg position delta: -4
Citation count delta: -2