# Confident AI AI visibility in LLM Observability Evals & Gateways

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

[Website](https://www.confident-ai.com/)

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


## Platforms

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

Rank: 7
Total brands: 11
Measured responses: 125
Presence percent: 4
Share of voice percent: 3.6923076923076925
Average position: 4.166666666666667
Docs presence percent: 0.8
Blog presence percent: 0
Brand mention percent: 11.200000000000001


## Profile

Overview: Confident AI is a Y Combinator-backed (W25) AI quality platform founded in 2024 and headquartered in San Francisco. Built by the creators of DeepEval — the open-source LLM evaluation framework with 14K+ GitHub stars and over 150K developers — Confident AI provides a unified cloud platform for engineering, QA, and product teams to evaluate, trace, and monitor LLM applications across the full development lifecycle. Core capabilities include 50+ research-backed evaluation metrics, production LLM tracing, automatic dataset curation from traces, multi-turn conversation simulation, CI/CD regression testing, git-based prompt versioning, and AI red teaming. The platform targets teams building RAG systems, agents, and chatbots in any framework, with enterprise-grade compliance (SOC 2 Type II, HIPAA, GDPR) and on-premises deployment for regulated industries. Trusted by 500+ AI companies including Panasonic, BCG, Samsung, and Epic Games.
Product summary: Confident AI is the commercial cloud platform built atop DeepEval — the open-source LLM evaluation framework — providing an integrated workspace for LLM evaluation, observability, dataset management, prompt versioning, and AI red teaming. It enables engineering, QA, and product teams to benchmark, safeguard, and continuously improve LLM applications from prototyping through production.


### Key capabilities

- 50+ research-backed LLM evaluation metrics (G-Eval, hallucination, answer relevancy, faithfulness, contextual precision/recall, bias, toxicity, task completion, and more)
- Full-stack LLM tracing capturing inputs, outputs, tool calls, latency, token cost, and metadata
- CI/CD regression testing via DeepEval pytest-native integration
- Multi-turn conversation simulation for chatbot and agent testing
- Dataset auto-curation from production traces with automatic failure and edge-case categorization
- Git-based prompt versioning with branch, merge-permission, and eval-gated approval workflows
- AI red teaming and risk assessment reports via DeepTeam open-source framework
- No-code HTTP endpoint evaluation ('Postman for AI') enabling non-engineers to run evals
- Human-in-the-loop annotation and cross-team collaboration workflows
- Enterprise compliance: SOC 2 Type II, HIPAA, GDPR; multi-region data residency (US/EU); RBAC and data masking



### Target users

- AI/ML engineers building LLM-powered applications
- QA teams responsible for AI quality assurance and regression testing
- Product managers and domain experts running no-code evaluation workflows
- Enterprise teams in regulated industries (healthcare, finance, insurance)
- DevOps and platform engineers integrating AI quality gates into CI/CD pipelines
- AI safety and red teaming practitioners



### Key use cases

- RAG pipeline evaluation and quality benchmarking
- AI agent end-to-end quality assurance
- Multi-turn chatbot testing and simulation
- Pre-deployment regression testing in CI/CD pipelines
- Production LLM monitoring, alerting, and drift detection
- LLM red teaming and safety risk assessment for regulated industries
- Model and prompt A/B experimentation and comparison
- Cross-functional AI quality collaboration between engineering, QA, and product teams

Integrations ecosystem: Python and TypeScript SDKs; 20+ native integrations including OpenAI, OpenAI Agents, LangChain, LangGraph, LlamaIndex, Pydantic AI, CrewAI, Vercel AI SDK, Agent Core, OpenTelemetry, LiteLLM, and Portkey. An official MCP server enables eval and tracing workflows directly from IDE environments such as Cursor and Claude Code. Supports major LLM providers (OpenAI, Anthropic, Google) and cloud providers (AWS Bedrock, Azure OpenAI, Google Vertex AI).
Pricing summary: Free forever tier: 2 user seats, 1 project, 5 test runs/week, 1 GB-month trace spans, 1-week data retention. Starter: from $19.99/user/month (full regression testing, custom metrics, online evaluations, unlimited data retention, 5K online eval metric runs/month). Premium: from $49.99/user/month (chat simulations, no-code AI evaluation workflows, auto-curation from traces, real-time alerting, full API access, 10K online eval metric runs/month). Team: custom pricing for up to 10 users with unlimited projects, HIPAA/SOC2, SSO, dedicated support channel, and git-based prompt branching. Enterprise: custom pricing with unlimited users, on-premises deployment (AWS, Azure, GCP), 99.9% uptime SLA, and 24x7 dedicated technical support. Trace storage billed at $1/GB-month beyond included limits. Annual billing discounts available.
Review summary: Confident AI has no verifiable aggregate score on G2 as of early 2026 (profile unclaimed, zero reviews on file). Gartner Peer Insights lists a small number of qualitative reviews praising reliability, smooth implementation, responsive support, and clean dashboard UX, though no numerical aggregate was confirmed. Product Hunt reception at launch was positive, with users praising the DeepEval integration, breadth of metrics, and the shift from subjective to objective LLM output measurement. Independent review commentary highlights straightforward onboarding (no credit card required) and the platform's open-source credibility as strong positives, while flagging a learning curve for LLM evaluation concepts and tier-gated advanced features as drawbacks.
Competitive positioning: Confident AI positions itself as the most comprehensive LLM quality platform, differentiated by being built by the creators of DeepEval — the most widely-adopted open-source LLM evaluation framework. Unlike pure observability tools, it leads with evaluation depth: 50+ research-backed metrics covering RAG, agents, chatbots, and multi-turn conversations. Its core moat is closing the feedback loop between production tracing and evaluation datasets, and making rigorous evals accessible to non-engineers (product managers, QA teams, domain experts) without requiring custom tooling. It competes against narrower eval frameworks (Galileo, Patronus AI, Braintrust) by breadth of use-case coverage and open-source credibility, and against observability-first tools (Arize AI, Langfuse, Helicone) by claiming evaluation quality is the harder and more differentiated problem.
Limitations: Learning curve for users unfamiliar with LLM evaluation concepts (e.g., faithfulness, answer relevancy). Most powerful features (chat simulations, no-code workflows, auto-dataset curation, alerting, API access) are gated behind Premium or higher tiers. Per-user pricing can compound costs for large teams. Platform is early-stage with a small team (7 employees), limited published third-party review coverage, and a maturing SaaS backend noted as less suited for full real-time streaming observability compared to dedicated observability-first tools. Advanced feature pricing noted as lacking clarity.


### Source urls

- https://www.confident-ai.com/
- https://www.ycombinator.com/companies/confident-ai
- https://github.com/confident-ai/deepeval
- https://www.confident-ai.com/pricing
- https://www.confident-ai.com/case-study/humach
- https://deepeval.com/
- https://www.confident-ai.com/products/llm-evaluation
- https://startupintros.com/orgs/confident-ai
- https://www.g2.com/products/confident-ai/reviews
- https://www.gartner.com/reviews/product/confident-ai-122691231
- https://www.confident-ai.com/knowledge-base/compare/best-llm-evaluation-tools

Research approved: 2026-05-06T17:53:55.493+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Humach | Humach adopted Confident AI to centralize multi-turn voice agent evaluation, annotation, and simulation workflows, replacing fragmented spreadsheet-based processes and eliminating the need to build a custom evaluation system. | 200% faster speed to market; $100K+ engineering costs saved; 20+ annotators enabled in unified workspace |



### Reviews breakdown





### Review themes



#### Praised

- Open-source credibility via DeepEval integration
- Breadth of research-backed evaluation metrics
- Straightforward onboarding without credit card
- Cross-functional collaboration for non-engineers
- Responsive and supportive team
- CI/CD integration for regression testing
- Clean and well-structured dashboard UI



#### Criticized

- Learning curve for LLM evaluation concepts (faithfulness, answer relevancy)
- Advanced features gated behind higher-tier plans
- Per-user pricing can escalate for large teams
- Limited real-time streaming observability vs. dedicated tools
- Lack of pricing clarity for advanced features
- Early-stage platform with limited third-party review coverage




### Company facts

Founded year: 2024
Hq: San Francisco, USA


#### Founders

- Jeffrey Ip
- Kritin Vongthongsri

Employees range: 1-10
Total funding: ~$2M
Valuation: Not available
Arr: Not available
Customer count: 500+ AI companies
Status: Private


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 | 2 | 8 |
| google-ai-mode | 0 | 0 |
| chatgpt-search | 0 | 0 |
| perplexity | 0 | 0 |
| bing-copilot-search | 3 | 12 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which evaluation platforms for LLM outputs are easiest to plug into an existing CI pipeline for a five-engineer team? | 1 | 1 |
| What LLM observability tools do ML engineering teams typically use to annotate and review production traces for quality feedback? | 1 | 1 |
| I'm evaluating LLM eval platforms — which ones integrate with version control to tie prompt regressions back to specific code or config changes? | 1 | 1 |
| 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. | 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 | 2 |
| Integrations & Ecosystem | 5 | 2 |
| 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: Not available
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: 1



#### 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: 1
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: 1



#### 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: Not available
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: 4



#### 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: 1
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.confident-ai.com/knowledge-base/compare/top-7-llm-observability-tools | Top 7 LLM Observability Tools in 2026 - Confident AI | confident-ai.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b47f69ae-9962-4274-829c-bf8a1c5e86b4/ecb637b050217890ff14dafb1c863dcae421c74c.png | commercial | comparison | 7 | 7 |
| https://www.confident-ai.com/knowledge-base/compare/best-ai-evaluation-tools-for-ci-cd | 9 Best AI Evaluation Tools for CI/CD Pipelines in 2026 - Confident AI | confident-ai.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b47f69ae-9962-4274-829c-bf8a1c5e86b4/ecb637b050217890ff14dafb1c863dcae421c74c.png | commercial | listicle | 7 | 7 |
| https://www.confident-ai.com/knowledge-base/compare/best-ai-evaluation-tools-for-prompt-experimentation-2026 | Best AI Evaluation Tools for Prompt Experimentation in 2026 - Confident AI | confident-ai.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b47f69ae-9962-4274-829c-bf8a1c5e86b4/ecb637b050217890ff14dafb1c863dcae421c74c.png | commercial | comparison | 3 | 3 |
| https://www.confident-ai.com/docs/llm-tracing/features/exports | Export Traces \| Confident AI Docs | confident-ai.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b47f69ae-9962-4274-829c-bf8a1c5e86b4/ecb637b050217890ff14dafb1c863dcae421c74c.png | commercial | documentation | 2 | 2 |
| https://www.confident-ai.com/knowledge-base/compare/best-ci-cd-tools-ai-applications-2026 | Top 8 CI/CD Tools for AI Applications in 2026 - Confident AI | confident-ai.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b47f69ae-9962-4274-829c-bf8a1c5e86b4/ecb637b050217890ff14dafb1c863dcae421c74c.png | commercial | comparison | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which LLM observability tools handle PII redaction and data masking in traces for teams with HIPAA or GDPR compliance requirements? | google-ai-mode | ...ort\| SOC 2 Type II, ISO 27001, HIPAA-ready cloud regions (Pro/Enterprise)\| Open-source self-hosting or managed cloud Confident AI / DeepEval\| SDK-level redaction and custom content capture before trace export\| SOC 2 Type II reporting and Enterpris... |
| Which evaluation platforms for LLM outputs are easiest to plug into an existing CI pipeline for a five-engineer team? | google-ai-mode | AI Agent Eval Tools Compared: Braintrust vs Promptfoo vsBraintrust vs. Promptfoo: 2026 LLM evaluation comparison 2. DeepEval by Confident AI (Best for Python-heavy or pytest-native stacks) * How it works: It uses a `pytest`-native framework. |
| Which LLM evaluation platforms support custom rubric-based scoring for domain-specific correctness beyond generic faithfulness metrics? | google-ai-mode | DeepEval (by Confident AI)\| Python (Pytest-like interface)\| Supports G-Eval style and LLM-as-a-judge evaluation metrics where developers define custom step-by-step evaluation rubrics and multi-criteria scorecards. |



## 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
Avg position delta: 1.3095238095238098
Citation count delta: 5