77 of 106 siteschecked Aug 5, 2026, 12:00 AM UTCdailyhow we measure this →CSV / JSON

As of

In front today

braintrust.dev

33.3%cited answer coverage

Ahead of second place: 13.9%
Held by the top three: 18%
Middle of the board: 2.8%
Below half the leader: 73 of 77

Highest 33.3%Middle 2.8%

Rank 1one bar per published rowRank 77

Find in table

77rows

Filters and sort

Entity typeMovementConfidenceEvidence NRank rangeColumnsSort rows

answers citing it: 1 on 53 of 77 rows · engines: 1 on 57 of 77 rows · 36 checks behind each row.

Most cited domains in LLM Observability answers current rankings
Rank	Name	Cited answer coverage	Best position	Typical position	Change	Why
01	braintrust.dev	33.3%	1	4		This rank
02	reddit.com	19.4%	1	5.5		This rank
03	getmaxim.ai	16.7%	1	3	4	This rank
04	confident-ai.com	16.7%	1	3.5	1	This rank
05	github.com	13.9%	1	3	1	This rank
06	truefoundry.com	13.9%	2	4	1	This rank
07	langfuse.com	11.1%	1	3	1	This rank
08	youtube.com	11.1%	5	5	10	This rank
09	fiddler.ai	8.3%	1	2	4	This rank
10	linkedin.com	8.3%	1	2	4	This rank
11	portkey.ai	8.3%	2	5	4	This rank
12	arxiv.org	8.3%	2	5	65	This rank
13	montecarlo.ai	8.3%	1	6	4	This rank
14	docs.fiddler.ai	5.6%	1	1	56	This rank
15	pydantic.dev	5.6%	1	1.5	78	This rank
16	oneuptime.com	5.6%	1	2.5	28	This rank
17	netdata.cloud	5.6%	3	3.5	75	This rank
18	mlflow.org	5.6%	3	4	19	This rank
19	datadoghq.com	5.6%	2	4.5	14	This rank
20	medium.com	5.6%	4	5.5	10	Showing
21	dev.to	5.6%	6	6.5	5	This rank
22	galileo.ai	5.6%	7	8	10	This rank
23	arize.com	5.6%	2	3	15	This rank
24	openobserve.ai	5.6%	3	5	13	This rank
25	edgedelta.com	2.8%	1	1	—	This rank
26	fast.io	2.8%	1	1	16	This rank
27	konghq.com	2.8%	1	1	36	This rank
28	morphllm.com	2.8%	1	1	45	This rank
29	strandsagents.com	2.8%	1	1	—	This rank
30	thecontextcompany.com	2.8%	1	1	—	This rank
31	api7.ai	2.8%	2	2	—	This rank
32	comet.com	2.8%	2	2	69	This rank
33	microsoft.github.io	2.8%	2	2	—	This rank
34	mindstudio.ai	2.8%	2	2	—	This rank
35	nimdzi.com	2.8%	2	2	—	This rank
36	techsy.io	2.8%	2	2	2	This rank
37	zenml.io	2.8%	2	2	63	This rank
38	aisera.com	2.8%	3	3	7	This rank
39	ateam-oracle.com	2.8%	3	3	28	This rank
40	blog.stackademic.com	2.8%	3	3	—	This rank
41	coval.ai	2.8%	3	3	11	This rank
42	docs.datadoghq.com	2.8%	3	3	—	This rank
43	growthbook.io	2.8%	3	3	—	This rank
44	kdnuggets.com	2.8%	3	3	—	This rank
45	langchain.com	2.8%	3	3	28	This rank
46	machinelearningmastery.com	2.8%	3	3	20	This rank
47	newrelic.com	2.8%	3	3	—	This rank
48	notdiamond.ai	2.8%	3	3	—	This rank
49	acceldata.io	2.8%	4	4	27	This rank
50	cekura.ai	2.8%	4	4	—	This rank
51	deepeval.com	2.8%	4	4	32	This rank
52	langwatch.ai	2.8%	4	4	—	This rank
53	mightybot.ai	2.8%	4	4	—	This rank
54	mirantis.com	2.8%	4	4	—	This rank
55	tfir.io	2.8%	4	4	—	This rank
56	cdn.prod.website-files.com	2.8%	5	5	—	This rank
57	galtea.ai	2.8%	5	5	32	This rank
58	groundcover.com	2.8%	5	5	37	This rank
59	ibm.com	2.8%	5	5	—	This rank
60	latitude.so	2.8%	5	5	28	This rank
61	posthog.com	2.8%	5	5	39	This rank
62	prefactor.tech	2.8%	5	5	12	This rank
63	royce-fu.com	2.8%	5	5	—	This rank
64	zuplo.com	2.8%	5	5	—	This rank
65	agenta.ai	2.8%	6	6	31	This rank
66	augmentcode.com	2.8%	6	6	2	This rank
67	lm-kit.com	2.8%	6	6	—	This rank
68	resolve.ai	2.8%	6	6	—	This rank
69	allganize.ai	2.8%	7	7	37	This rank
70	mlengineering.medium.com	2.8%	7	7	34	This rank
71	parseable.com	2.8%	7	7	7	This rank
72	teleskope.ai	2.8%	7	7	—	This rank
73	finout.io	2.8%	8	8	29	This rank
74	futureagi.com	2.8%	8	8	50	This rank
75	lakefs.io	2.8%	8	8	52	This rank
76	firecrawl.dev	2.8%	9	9	33	This rank
77	zemosolabs.com	2.8%	10	10	—	This rank

Primary brandPrompt intentAnswer enginePrompt contains

Run live test

Answer presence16.7%6/36 filtered answers mention or cite LangSmith

Selected-set share16.7%Share of answer-presences among the compared brands, not market share

Owned citation answers11 answer-level URL signals on reviewed owned domains

Engine breadth2/3Engines with at least one observed presence

Filtered competitive answer-presence comparison
Brand	Presence	Vs. primary	Selected share	Mentions	Cited answers	Owned URL signals	Engine breadth
Braintrustbraintrust.dev	36.1%13/36	+19.4 pp	36.1%	10	12	12	3/3
Arize AI / Phoenixarize.com	25.0%9/36	+8.3 pp	25.0%	10	2	2	3/3
Langfuselangfuse.com	22.2%8/36	+5.6 pp	22.2%	19	4	9	3/3
LangSmithlangchain.com	16.7%6/36	BASE	16.7%	6	1	1	2/3

ANSWER-LEVEL OBSERVATIONS

Prompt × engine matrix

12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.

Brand presence by public prompt and answer engine
Public prompt	OpenAIopenai/gpt-4o-mini	Anthropicanthropic/claude-haiku-4-5	Geminigoogle/gemini-2.5-flash
01 What are the best observability platforms for a production application powered by large language models?recommendation	LangSmithArize AI / PhoenixLangfuseBraintrust · C1 10 source URLs`fa544cfc`	No selected brand 0 source URLs`d44ea4c0`	LangSmithArize AI / PhoenixLangfuseBraintrust · C1 9 source URLs`fbb15243`
02 Recommend an open-source system for self-hosted language-model tracing, evaluations, and prompt analytics.recommendation	Langfuse · C3 5 source URLs`6d1b9337`	Arize AI / PhoenixLangfuse · C3Braintrust · C1 7 source URLs`36b304a5`	Arize AI / Phoenix · C1Langfuse 6 source URLs`95d7201e`
03 Which enterprise AI observability platform offers private deployment, role-based access, SSO, audit logs, and data residency?recommendation	No selected brand 5 source URLs`4b68c61d`	No selected brand 0 source URLs`0654270d`	Braintrust · C1 7 source URLs`176f385b`
04 What is the best platform for tracing multi-agent workflows, tool calls, handoffs, and Model Context Protocol activity?recommendation	LangSmith · C1Langfuse · C2 5 source URLs`650981c6`	No selected brand 0 source URLs`0c1562bd`	LangSmithArize AI / PhoenixLangfuse · C1Braintrust 8 source URLs`39c85410`
05 Recommend an observability tool for debugging retrieval quality, context relevance, groundedness, and hallucinations in RAG systems.recommendation	LangSmithArize AI / PhoenixLangfuseBraintrust · C1 5 source URLs`7945cf28`	No selected brand 0 source URLs`f00495c8`	No selected brand 0 source URLs`20ce8c45`
06 Which platform is best for online evaluations, production quality monitoring, failure clustering, and regression alerts?recommendation	LangSmithArize AI / PhoenixBraintrust · C1 5 source URLs`c4b5268c`	No selected brand 0 source URLs`cd61c764`	No selected brand 0 source URLs`781bfc63`
07 Recommend a platform for versioned evaluation datasets, prompt experiments, human review, and quality gates in CI.recommendation	Arize AI / PhoenixBraintrust · C1 6 source URLs`5842641a`	No selected brand 0 source URLs`de13e16e`	No selected brand 0 source URLs`43265f33`
08 What is the best language-model gateway with request tracing, token cost, latency, caching, and provider reliability analytics?recommendation	Braintrust · C1 7 source URLs`036fa6f9`	No selected brand 0 source URLs`512ac866`	Braintrust · C1 8 source URLs`601cc01d`
09 How should a team compare AI observability pricing across traces, events, retention, evaluator runs, seats, and data volume?commercial	Braintrust · C1 7 source URLs`a4c7b903`	No selected brand 0 source URLs`8591eec9`	Braintrust · C1 8 source URLs`b7754111`
10 Which privacy and security criteria matter when buying AI observability, including redaction, sampling, and data retention?commercial	No selected brand 7 source URLs`ae4a49ba`	No selected brand 0 source URLs`46069cb4`	No selected brand 8 source URLs`5ac691d6`
11 Should a production AI team prefer OpenTelemetry-compatible instrumentation or a proprietary tracing SDK?commercial	No selected brand 6 source URLs`dfc8893f`	No selected brand 0 source URLs`0f89967e`	No selected brand 6 source URLs`88d2e761`
12 When should a team buy a language-model evaluation and observability platform instead of building one internally?commercial	Braintrust · C1 8 source URLs`3ad69fb2`	No selected brand 0 source URLs`6cabbc34`	Arize AI / Phoenix · C1 5 source URLs`037c06f7`

STRUCTURED CITATION LEDGER

Sources shaping this filtered view

Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.

Validated citation sources in filtered answers
Source hostname	Cited answers	Distinct URLs	Engine breadth	Best position
braintrust.dev ↗	12	10	3	#1
reddit.com ↗	7	7	3	#1
confident-ai.com ↗	6	4	2	#1
getmaxim.ai ↗	6	4	2	#1
github.com ↗	5	4	3	#1
truefoundry.com ↗	5	4	2	#2
langfuse.com ↗	4	6	3	#1
youtube.com ↗	4	4	1	#5
fiddler.ai ↗	3	5	2	#1
linkedin.com ↗	3	3	2	#1
arxiv.org ↗	3	3	2	#2
montecarlo.ai ↗	3	2	1	#1
portkey.ai ↗	3	2	2	#2
pydantic.dev ↗	2	2	2	#1
arize.com ↗	2	2	1	#2
datadoghq.com ↗	2	2	2	#2
mlflow.org ↗	2	2	2	#3
netdata.cloud ↗	2	2	2	#3
openobserve.ai ↗	2	2	1	#3
medium.com ↗	2	2	2	#4

PUBLIC-BENCHMARK PRIVACY BOUNDARY

This report contains only code-reviewed public prompts, deterministic brand counts, answer hashes, and validated structured citation URLs. Full model answers are neither stored nor published here. No customer, organization, or private tracked-prompt data is included.

llm-observability-platforms-2026-07-27 / 4-llm-observability-platforms-2026-07-27-models-64232fd32583

Some explanation inputs are unavailable Missing: publicFrozenEvidence.

Published rank: #20
Score: 5.556 percent
Sample size: 36

100% confidence · 50% component coverage · as of Aug 5, 2026, 12:00 AM UTC

SCORE CONSTRUCTION

Component ledger

7/14 evidenced

Components contributing to medium.com's rank
Component	Value	Weight	Contribution	Evidence	Status
aggregateArtifactHash	52245e204b22c18f113c27eec18361dbb66ee4458d23824d778046d79c893bf1	Unavailable	—	0	unavailableno_public_frozen_evidence
answerDenominator	36	Unavailable	36	0	unavailableno_public_frozen_evidence
engineDenominator	3	Unavailable	3	0	unavailableno_public_frozen_evidence
hostname	medium.com	Unavailable	—	0	unavailableno_public_frozen_evidence
positionDenominator	2	Unavailable	2	0	unavailableno_public_frozen_evidence
positionNumerator	11	Unavailable	11	0	unavailableno_public_frozen_evidence
public prompt source answer coverage	5.555556	100%	5.556	1	available
public prompt source best position	4	0%	0	1	available
public prompt source cited answer count	2	0%	0	1	available
public prompt source distinct URL count	2	0%	0	1	available
public prompt source engine breadth	2	0%	0	1	available
public prompt source mean position	5.5	0%	0	1	available
public prompt source median position	5.5	0%	0	1	available
sourceVisibilityOnly	1	Unavailable	—	0	unavailableno_public_frozen_evidence

WHY IT MOVED

down since prior snapshot

-10 ranks

public prompt source answer coverage11.111 → 5.556
-5.556
positionNumerator16 → 11
-5
public prompt source best position1 → 4
+3
positionDenominator4 → 2
-2
public prompt source cited answer count4 → 2
-2
public prompt source distinct URL count4 → 2
-2
public prompt source mean position4 → 5.5
+1.5
public prompt source median position4.5 → 5.5
+1
answerDenominator36 → 36
0
engineDenominator3 → 3
0
public prompt source engine breadth2 → 2
0

PRIMARY EVIDENCE

Source trail

7 public records

Cited-answer coveragepublic prompt source answer coverage · observed Aug 5, 2026, 12:00 AM UTC5.556 percent100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["d0a41f41-65bc-4dc5-be55-4fa6297be23f","80117d34-a46f-4b1f-a78f-4909f0ad51b7","ef81a382-3ebd-4b61-ac2e-e3b3980264ed","b3fc7b2d-ae19-491c-b9d5-bfea4fd84ad5","c89bfaab-fdb5-490b-97ad-ab7d2d4841bb","c36a1d84-428b-4bbf-9baf-990a1e88bc13","b1ef3aa3-75e0-458a-9ce6-8cf6ee2abd0e","dc4dfdf0-3c4a-462f-b5a7-ee49420e552c","9cb90bb3-0203-4f41-ac36-c52b1cc06303","f9449d23-8fb3-488d-99c5-a323fcd97203","219ac49e-250d-4d77-bdaf-fadddef7c9b9","6a1d80b6-0903-41ab-a2fa-a2d7f8d7f75f","5f016752-e5ec-4a2a-9410-02ec3470d108","30f829a0-95e3-42a2-827e-57bb7555e259","8e59267c-ef85-4ab2-b943-702de5240f48","259dc164-9f54-4895-ab8b-cbca947235e1","0088a4ff-7d49-4202-91ae-ab6cb61dfd88","773003ee-3b21-4d3a-a75d-26fe25f0d468","60c3b7b2-ec0e-473d-9ea9-8a02abe2a2e9","4fd872f5-8405-46ca-a706-32370741d854","ee1e27a4-9f1f-4909-863f-90514d6c13a1","677156b9-1f8d-474b-be3c-326a992d2ca5","0bae9e8d-9c8c-45a4-bea2-de769dac8f0b","54067625-0560-4569-918c-e0d74d9a6666","ca51c1f6-d67e-4879-98c3-c76f72b5a87f","ffa226c9-d155-4e1f-aec5-242bcbc34e9b","b58080fa-8068-441c-89ba-efbb17cc02d2","5175d771-8a01-41cc-84fb-77a6137d141c","ed371435-744b-4299-bc57-c043d28d04f3","81bfcecb-a1df-46bd-be33-0e5d1e195991","10bd2629-78a8-4dda-be67-3784c56c3b91","9e1949cd-4bc8-40b1-8494-4e712fb439f1","9b4acc1c-1278-45a4-992b-54bb12aeca22","a6a6ac2b-6aee-435d-a1d5-fc3766941330","b6524f34-a5ca-4f28-8106-3446853f5382","860f6480-bc2a-400f-9124-90ff7d4bb020"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Best citation positionpublic prompt source best position · observed Aug 5, 2026, 12:00 AM UTC4 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["d0a41f41-65bc-4dc5-be55-4fa6297be23f","80117d34-a46f-4b1f-a78f-4909f0ad51b7","ef81a382-3ebd-4b61-ac2e-e3b3980264ed","b3fc7b2d-ae19-491c-b9d5-bfea4fd84ad5","c89bfaab-fdb5-490b-97ad-ab7d2d4841bb","c36a1d84-428b-4bbf-9baf-990a1e88bc13","b1ef3aa3-75e0-458a-9ce6-8cf6ee2abd0e","dc4dfdf0-3c4a-462f-b5a7-ee49420e552c","9cb90bb3-0203-4f41-ac36-c52b1cc06303","f9449d23-8fb3-488d-99c5-a323fcd97203","219ac49e-250d-4d77-bdaf-fadddef7c9b9","6a1d80b6-0903-41ab-a2fa-a2d7f8d7f75f","5f016752-e5ec-4a2a-9410-02ec3470d108","30f829a0-95e3-42a2-827e-57bb7555e259","8e59267c-ef85-4ab2-b943-702de5240f48","259dc164-9f54-4895-ab8b-cbca947235e1","0088a4ff-7d49-4202-91ae-ab6cb61dfd88","773003ee-3b21-4d3a-a75d-26fe25f0d468","60c3b7b2-ec0e-473d-9ea9-8a02abe2a2e9","4fd872f5-8405-46ca-a706-32370741d854","ee1e27a4-9f1f-4909-863f-90514d6c13a1","677156b9-1f8d-474b-be3c-326a992d2ca5","0bae9e8d-9c8c-45a4-bea2-de769dac8f0b","54067625-0560-4569-918c-e0d74d9a6666","ca51c1f6-d67e-4879-98c3-c76f72b5a87f","ffa226c9-d155-4e1f-aec5-242bcbc34e9b","b58080fa-8068-441c-89ba-efbb17cc02d2","5175d771-8a01-41cc-84fb-77a6137d141c","ed371435-744b-4299-bc57-c043d28d04f3","81bfcecb-a1df-46bd-be33-0e5d1e195991","10bd2629-78a8-4dda-be67-3784c56c3b91","9e1949cd-4bc8-40b1-8494-4e712fb439f1","9b4acc1c-1278-45a4-992b-54bb12aeca22","a6a6ac2b-6aee-435d-a1d5-fc3766941330","b6524f34-a5ca-4f28-8106-3446853f5382","860f6480-bc2a-400f-9124-90ff7d4bb020"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Cited answerspublic prompt source cited answer count · observed Aug 5, 2026, 12:00 AM UTC2 answers100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["d0a41f41-65bc-4dc5-be55-4fa6297be23f","80117d34-a46f-4b1f-a78f-4909f0ad51b7","ef81a382-3ebd-4b61-ac2e-e3b3980264ed","b3fc7b2d-ae19-491c-b9d5-bfea4fd84ad5","c89bfaab-fdb5-490b-97ad-ab7d2d4841bb","c36a1d84-428b-4bbf-9baf-990a1e88bc13","b1ef3aa3-75e0-458a-9ce6-8cf6ee2abd0e","dc4dfdf0-3c4a-462f-b5a7-ee49420e552c","9cb90bb3-0203-4f41-ac36-c52b1cc06303","f9449d23-8fb3-488d-99c5-a323fcd97203","219ac49e-250d-4d77-bdaf-fadddef7c9b9","6a1d80b6-0903-41ab-a2fa-a2d7f8d7f75f","5f016752-e5ec-4a2a-9410-02ec3470d108","30f829a0-95e3-42a2-827e-57bb7555e259","8e59267c-ef85-4ab2-b943-702de5240f48","259dc164-9f54-4895-ab8b-cbca947235e1","0088a4ff-7d49-4202-91ae-ab6cb61dfd88","773003ee-3b21-4d3a-a75d-26fe25f0d468","60c3b7b2-ec0e-473d-9ea9-8a02abe2a2e9","4fd872f5-8405-46ca-a706-32370741d854","ee1e27a4-9f1f-4909-863f-90514d6c13a1","677156b9-1f8d-474b-be3c-326a992d2ca5","0bae9e8d-9c8c-45a4-bea2-de769dac8f0b","54067625-0560-4569-918c-e0d74d9a6666","ca51c1f6-d67e-4879-98c3-c76f72b5a87f","ffa226c9-d155-4e1f-aec5-242bcbc34e9b","b58080fa-8068-441c-89ba-efbb17cc02d2","5175d771-8a01-41cc-84fb-77a6137d141c","ed371435-744b-4299-bc57-c043d28d04f3","81bfcecb-a1df-46bd-be33-0e5d1e195991","10bd2629-78a8-4dda-be67-3784c56c3b91","9e1949cd-4bc8-40b1-8494-4e712fb439f1","9b4acc1c-1278-45a4-992b-54bb12aeca22","a6a6ac2b-6aee-435d-a1d5-fc3766941330","b6524f34-a5ca-4f28-8106-3446853f5382","860f6480-bc2a-400f-9124-90ff7d4bb020"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Distinct citation URLspublic prompt source distinct URL count · observed Aug 5, 2026, 12:00 AM UTC2 URLs100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Engine breadthpublic prompt source engine breadth · observed Aug 5, 2026, 12:00 AM UTC2 engines100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Mean citation positionpublic prompt source mean position · observed Aug 5, 2026, 12:00 AM UTC5.5 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Median citation positionpublic prompt source median position · observed Aug 5, 2026, 12:00 AM UTC5.5 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗

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Plain textMost-cited domains in LLM Observability answers. Rank.ai, data as of August 5, 2026. https://www.rank.ai/rankings/llm-observability/llm-observability-platforms-most-cited-domains
HTML<a href="https://www.rank.ai/rankings/llm-observability/llm-observability-platforms-most-cited-domains">Most-cited domains in LLM Observability answers</a> — Rank.ai, data as of August 5, 2026
Markdown[Most-cited domains in LLM Observability answers](https://www.rank.ai/rankings/llm-observability/llm-observability-platforms-most-cited-domains) — Rank.ai, data as of August 5, 2026
APARank.ai. (2026). Most-cited domains in LLM Observability answers. Retrieved September 11, 2026, from https://www.rank.ai/rankings/llm-observability/llm-observability-platforms-most-cited-domains

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<p style="font-size:12px">Source: <a href="https://www.rank.ai/rankings/llm-observability/llm-observability-platforms-most-cited-domains">Most-cited domains in LLM Observability answers</a> by Rank.ai</p>

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