Who AI recommends for LLM observability and evaluation tools.

Updated 9 October 2026Google AI Overview on 10 October 2026 added

We ask AI assistants which LLM observability and evaluation tools they’d recommend, with live web search on. Here’s who they name.

CSV JSON

Post on X Share on LinkedIn

Ask AI yourself:

Who gets recommended.

Products named for LLM observability and evaluation tools, by share of 80 answers
#	Product	Share of answers	DR	vs last month	Avg. position
1	LangfuseDR 69langfuse.com	95% 76/80 answers —	DR 69	—	#2.1
2	Arize PhoenixDR 69arize.com	81% 65/80 answers —	DR 69	—	#3.3
3	LangSmithDR 49smith.langchain.com	66% 53/80 answers —	DR 49	—	#2.1
4	BraintrustDR 59braintrust.dev	61% 49/80 answers —	DR 59	—	#3.9
5	HeliconeDR 51helicone.ai	59% 47/80 answers —	DR 51	—	#5.0
6	DeepEvalDR 44deepeval.com	19% 15/80 answers —	DR 44	—	#3.2
7	Opikopik.ai	19% 15/80 answers —	—	—	#4.1
8	OpenObserveDR 35openobserve.ai	15% 12/80 answers —	DR 35	—	#2.8
9	Comet OpikDR 58comet.com	15% 12/80 answers —	DR 58	—	#4.3
10	MLflowDR 72mlflow.org	14% 11/80 answers —	DR 72	—	#4.7
11	Confident AIDR 43confident-ai.com	13% 10/80 answers —	DR 43	—	#3.2
12	PromptfooDR 62promptfoo.dev	11% 9/80 answers —	DR 62	—	#3.3
13	Arize AIDR 69arize.com	10% 8/80 answers —	DR 69	—	#3.1
14	OpenLITDR 95github.com	9% 7/80 answers —	DR 95	—	#3.9
15	DatadogDR 81datadoghq.com	9% 7/80 answers —	DR 81	—	#4.7
15	OpenLLMetryDR 95github.com	9% 7/80 answers —	DR 95	—	#4.7
17	Datadog LLM ObservabilityDR 81datadoghq.com	9% 7/80 answers —	DR 81	—	#6
18	Fiddler AIDR 55fiddler.ai	8% 6/80 answers —	DR 55	—	#3.2
19	Laminarlaminar.ai	8% 6/80 answers —	—	—	#5.8
20	W&B WeaveDR 75wandb.ai	8% 6/80 answers —	DR 75	—	#6.2
21	Weights & Biases WeaveDR 75wandb.ai	8% 6/80 answers —	DR 75	—	#6.5
22	Ragasragas.ai	6% 5/80 answers —	—	—	#5.6
23	Weights & BiasesDR 75wandb.ai	5% 4/80 answers —	DR 75	—	#5
24	LangWatchDR 95github.com	5% 4/80 answers —	DR 95	—	#5.3
24	LunaryDR 95github.com	5% 4/80 answers —	DR 95	—	#5.3
26	GalileoDR 57galileo.ai	5% 4/80 answers —	DR 57	—	#6.3
27	PortkeyDR 64portkey.ai	5% 4/80 answers —	DR 64	—	#6.8
28	WhyLabsDR 38whylabs.ai	4% 3/80 answers —	DR 38	—	#4.3
29	HoneyHiveDR 49honeyhive.ai	4% 3/80 answers —	DR 49	—	#5.3
30	Pydantic LogfireDR 19logfire.pydantic.dev	4% 3/80 answers —	DR 19	—	#6
31	Maxim AIDR 38getmaxim.ai	4% 3/80 answers —	DR 38	—	#6.3
32	AgentOpsDR 58agentops.ai	4% 3/80 answers —	DR 58	—	#7
33	OpenAI EvalsDR 91openai.com	3% 2/80 answers —	DR 91	—	#1
34	ArizeDR 69arize.com	3% 2/80 answers —	DR 69	—	#3
34	Arize AXDR 69arize.com	3% 2/80 answers —	DR 69	—	#3
36	TrueFoundryDR 44truefoundry.com	3% 2/80 answers —	DR 44	—	#4
36	EvidentlyDR 62evidentlyai.com	3% 2/80 answers —	DR 62	—	#4
38	Datadog Agent ObservabilityDR 81datadoghq.com	3% 2/80 answers —	DR 81	—	#4.5
39	MLflow TracingDR 72mlflow.org	3% 2/80 answers —	DR 72	—	#5
40	Inspectinspect.ai	3% 2/80 answers —	—	—	#6
41	OpenLLMetry (Traceloop)DR 38traceloop.com	3% 2/80 answers —	DR 38	—	#6.5
42	Patronus AIDR 42patronus.ai	3% 2/80 answers —	DR 42	—	#7
42	PostHogDR 77posthog.com	3% 2/80 answers —	DR 77	—	#7
44	Lyzr Open ControllerDR 47lyzr.ai	1% 1/80 answers —	DR 47	—	#1
45	Opik (Comet)DR 58comet.com	1% 1/80 answers —	DR 58	—	#2
46	PromptLayerDR 43promptlayer.com	1% 1/80 answers —	DR 43	—	#4
46	lm-evaluation-harnessDR 95github.com	1% 1/80 answers —	DR 95	—	#4
46	BifrostDR 38getmaxim.ai	1% 1/80 answers —	DR 38	—	#4
46	Bifrost (by Maxim AI)DR 38getmaxim.ai	1% 1/80 answers —	DR 38	—	#4
46	Future AGIDR 95github.com	1% 1/80 answers —	DR 95	—	#4
51	Confident AI (DeepEval)DR 43confident-ai.com	1% 1/80 answers —	DR 43	—	#5
51	HumanloopDR 49humanloop.com	1% 1/80 answers —	DR 49	—	#5
51	Robust IntelligenceDR 41robustintelligence.com	1% 1/80 answers —	DR 41	—	#5
54	EvalAIDR 58eval.ai	1% 1/80 answers —	DR 58	—	#6
54	DeepchecksDR 45deepchecks.com	1% 1/80 answers —	DR 45	—	#6
54	SeldonDR 53seldon.io	1% 1/80 answers —	DR 53	—	#6
57	DeepEval (by Confident AI)	1% 1/80 answers —	—	—	#7
57	DeepEval / Confident AIconfident.ai	1% 1/80 answers —	—	—	#7
57	TrueraDR 39truera.com	1% 1/80 answers —	DR 39	—	#7
57	New Relic AI MonitoringDR 84newrelic.com	1% 1/80 answers —	DR 84	—	#7
57	LangChainDR 74langchain.com	1% 1/80 answers —	DR 74	—	#7
62	OpenLayerDR 27openlayer.com	1% 1/80 answers —	DR 27	—	#8
62	LMSYS Chatbot Arena	1% 1/80 answers —	—	—	#8
62	LlamaIndexDR 71llamaindex.ai	1% 1/80 answers —	DR 71	—	#8
65	VercelDR 85vercel.com	1% 1/80 answers —	DR 85	—	#9

Prompt by prompt.

Each prompt, the engines whose answers named its most mentioned product, and how many of the planned answers came back. Open a prompt for its own ranking, sources, searches and every answer.

Every prompt, the product its answers named most, and how many answers came back
#	Prompt	Named the leader	Most mentioned	Answers
1	Langfuse 15/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Langfuse15/16	16/16
2	LangSmith 16/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	LangSmith16/16	16/16
3	DeepEval 14/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	DeepEval14/16	16/16
4	Langfuse 15/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Langfuse15/16	16/16
5	Langfuse 16/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Langfuse16/16	16/16

Recommendations by engine.

Each cell is the share of that engine’s answers naming the product. Engines differ, and this is where it shows.

Share of each engine’s answers naming each product; open a cell for its answers
Product	ChatGPTChatGPT	ClaudeClaude	PerplexityPerplexity	GeminiGemini	GrokGrok	AI OverviewAI Overview
Langfuse
Arize Phoenix
LangSmith
Braintrust
Helicone
DeepEval
Opik
OpenObserve
Comet Opik
MLflow
Confident AI
Promptfoo
Arize AI
OpenLIT
Datadog

Where the answers looked.

Sites the answers cited, by the share of answers citing each one.

1confident-ai.com
41%33/80
2openobserve.ai
33%26/80
3braintrust.dev
31%25/80
4lyzr.ai
31%25/80
5truefoundry.com
26%21/80
6firecrawl.dev
24%19/80
7mlflow.org
24%19/80
8itechguides.com
16%13/80
9medium.com
16%13/80
10newrelic.com
15%12/80
11posthog.com
15%12/80
12reddit.com
15%12/80

In their own words.

Lines from the answers that name the product, word for word, with the engine and the day it answered.

What the engines say about

“What is the best LLM observability tool?”
2. Langfuse — https://www.langfuse.com
ChatGPT9 Oct 2026
“What is the best LLM observability tool?”
3. Langfuse, https://langfuse.com
Claude9 Oct 2026
“What is the best LLM observability tool?”
1. Langfuse — https://langfuse.com — Best overall for its open-source foundation, traces, prompt management, evaluations, cost tracking, and broad framework support.[1][3]
Perplexity9 Oct 2026
“What is the best LLM observability tool?”
2. Langfuse
Gemini9 Oct 2026
“What is the best LLM observability tool?”
1. Langfuse
Grok9 Oct 2026
“What is the best LLM observability tool?”
- Langfuse: Best open-source (MIT-licensed) and self-hostable option for prompt versioning, traces, datasets, and evaluations. Ideal if data privacy and infrastructure control are top priorities.[[1]](https://medium.com/data-science-collective/top-llm-observability-platforms-in-2026-2c1c37619766…
AI Overview10 Oct 2026

How this was measured.

Measured on 9 October 2026.
5 buyer questions, on ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overview.
Asked more than once.
Each question went to each engine several times (Google AI Overview once), so the tables show rates, not one list.
Gaps stay gaps.
An answer that failed is left out of every count, never read as one that named nobody.
Every answer is here.
Quoted word for word, and in the CSV and JSON.

Not affiliated with or endorsed by OpenAI, Anthropic, Perplexity, Google and xAI. How it works · More AI rankings

Show your count on your site.

If your product was named in at least 40 of the 80 answers, you can say so on your site. The badge shows your own count and the month it was measured, and links to your row here.

It is drawn from the latest ranking. When the ranking is checked again, the badge shows the new count; if your product is no longer on the list or falls below the bar, the badge stops showing a claim.

Your product

Langfuse: named in 76 of 80 AI answers for LLM observability and evaluation tools — recomention, October 2026

<a href="http://localhost:3000/ai-rankings/llm-observability#named-langfuse" target="_blank" rel="noopener"><img src="http://localhost:3000/ai-rankings/llm-observability/badge.svg?product=named-langfuse&amp;v=3" alt="Langfuse: named in 76 of 80 AI answers for LLM observability and evaluation tools — recomention, October 2026" title="Langfuse: named in 76 of 80 answers from ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overview for LLM observability and evaluation tools — recomention, October 2026" width="220" height="74" /></a>

Both themes make the same claim. The badge links to your product’s row in this ranking, where the answers are.

Other categories.

Not on this list? Check your brand.

A Quick report asks 15 questions a buyer would ask in your category, with your name left out of every one, 2 times each on ChatGPT, Perplexity and Gemini. It shows how often you are named, who is named instead, and where the engines look. One payment, no subscription.

Quick report $19