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Most-cited domains in LLM Observability answers | Rank.ai

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Most-cited domains in LLM Observability answers

Domains ranked by unique cited-answer coverage across Rank.ai's complete public prompt benchmark. This measures sourcing visibility—not recommendation or authority.

Coverage: 106 entities
Confidence: 100%
Freshness: current
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Watching publication Jul 27, 2026

LEADERBOARD

Current rankings

Metric: Cited-answer coverage

Find in tableEntity typeMovementConfidenceEvidence NRank rangeColumnsSort rows

106of 106 rows

Most-cited domains in LLM Observability answers current rankings
Rank	Entity	Cited-answer coverage	Public Prompt Source Best Position	Public Prompt Source Cited Answer Count	Public Prompt Source Distinct Url Count	Public Prompt Source Engine Breadth	Public Prompt Source Mean Position	Public Prompt Source Median Position	Confidence	N	Change	Trend	Explain
01	braintrust.devsource	33.3%	1	12	9	3	2.5	2	100%	36	—	—	Why this rank
02	reddit.comsource	25.0%	1	9	10	3	4.2	4	100%	36	—	—	Why this rank
03	confident-ai.comsource	19.4%	1	7	7	3	3.6	3.5	100%	36	—	—	Why this rank
04	github.comsource	16.7%	2	6	6	3	4.8	4.5	100%	36	—	—	Why this rank
05	truefoundry.comsource	13.9%	1	5	4	3	3.4	3	100%	36	—	—	Why this rank
06	langfuse.comsource	13.9%	1	5	7	2	3.6	2	100%	36	—	—	Why this rank
07	getmaxim.aisource	13.9%	3	5	5	2	4.6	4	100%	36	—	—	Why this rank
08	arize.comsource	13.9%	1	5	13	2	4.4	4.5	100%	36	—	—	Why this rank
09	montecarlo.aisource	11.1%	1	4	2	2	2.5	2	100%	36	—	—	Why this rank
10	medium.comsource	11.1%	1	4	4	2	4	4.5	100%	36	—	—	Why this rank
11	openobserve.aisource	11.1%	2	4	3	2	5.5	6	100%	36	—	—	Why this rank
12	galileo.aisource	11.1%	1	4	4	1	3.3	3.5	100%	36	—	—	Why this rank
13	fiddler.aisource	8.3%	1	3	4	3	2.4	1	100%	36	—	—	Why this rank
14	linkedin.comsource	8.3%	1	3	3	2	3.3	2	100%	36	—	—	Why this rank
15	portkey.aisource	8.3%	1	3	3	2	2.3	3	100%	36	—	—	Why this rank
16	dev.tosource	8.3%	1	3	3	2	3.7	3	100%	36	—	—	Why this rank
17	langchain.comsource	8.3%	1	3	1	2	3.3	4	100%	36	—	—	Why this rank
18	youtube.comsource	8.3%	2	3	4	2	4.8	4.5	100%	36	—	—	Why this rank
19	deepeval.comsource	8.3%	5	3	2	2	5.7	5	100%	36	—	—	Why this rank
20	techtarget.comsource	8.3%	4	3	3	2	6	6	100%	36	—	—	Why this rank
21	groundcover.comsource	8.3%	4	3	3	2	6.3	7	100%	36	—	—	Why this rank
22	posthog.comsource	8.3%	1	3	3	1	4.7	6	100%	36	—	—	Why this rank
23	lakefs.iosource	5.6%	2	2	1	2	2.5	2.5	100%	36	—	—	Why this rank
24	futureagi.comsource	5.6%	2	2	2	2	3	3	100%	36	—	—	Why this rank
25	galtea.aisource	5.6%	3	2	1	2	3.5	3.5	100%	36	—	—	Why this rank
26	machinelearningmastery.comsource	5.6%	3	2	1	2	3.5	3.5	100%	36	—	—	Why this rank
27	hatchworks.comsource	5.6%	4	2	1	2	4	4	100%	36	—	—	Why this rank
28	virtido.comsource	5.6%	2	2	2	2	4.5	4.5	100%	36	—	—	Why this rank
29	opentelemetry.iosource	5.6%	4	2	3	2	5.3	5	100%	36	—	—	Why this rank
30	honeycomb.iosource	5.6%	4	2	2	2	5.5	5.5	100%	36	—	—	Why this rank
31	aisera.comsource	5.6%	6	2	1	2	6	6	100%	36	—	—	Why this rank
32	latitude.sosource	5.6%	4	2	1	2	6.5	6.5	100%	36	—	—	Why this rank
33	datadoghq.comsource	5.6%	1	2	2	1	1.5	1.5	100%	36	—	—	Why this rank
34	agenta.aisource	5.6%	2	2	2	1	2.5	2.5	100%	36	—	—	Why this rank
35	gartner.comsource	5.6%	2	2	2	1	2.5	2.5	100%	36	—	—	Why this rank
36	coralogix.comsource	5.6%	1	2	2	1	3.5	3.5	100%	36	—	—	Why this rank
37	mlflow.orgsource	5.6%	3	2	2	1	4.5	4.5	100%	36	—	—	Why this rank
38	techsy.iosource	5.6%	3	2	1	1	5	5	100%	36	—	—	Why this rank
39	vfunction.comsource	5.6%	5	2	2	1	5.5	5.5	100%	36	—	—	Why this rank
40	aimultiple.comsource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
41	elastic.cosource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
42	fast.iosource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
43	firecrawl.devsource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
44	oneuptime.comsource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
45	oodle.aisource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
46	resources.ironmountain.comsource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
47	scale.comsource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
48	trulens.orgsource	2.8%	1	1	1	1	1	1	100%	36	—	—	Why this rank
49	adaline.aisource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
50	aicuflow.comsource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
51	confluent.iosource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
52	coval.aisource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
53	dash0.comsource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
54	grafana.comsource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
55	protecto.aisource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
56	techaheadcorp.comsource	2.8%	2	1	1	1	2	2	100%	36	—	—	Why this rank
57	aiopsschool.comsource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
58	docs.portkey.aisource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
59	embrace.iosource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
60	hp.comsource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
61	hypredge.aisource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
62	incident.iosource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
63	konghq.comsource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
64	parseable.comsource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
65	redpanda.comsource	2.8%	3	1	1	1	3	3	100%	36	—	—	Why this rank
66	apica.iosource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
67	ateam-oracle.comsource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
68	augmentcode.comsource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
69	community.latenode.comsource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
70	docs.fiddler.aisource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
71	graphapp.aisource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
72	launchdayadvisors.comsource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
73	morphllm.comsource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
74	prefactor.techsource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
75	thenewstack.iosource	2.8%	4	1	1	1	4	4	100%	36	—	—	Why this rank
76	acceldata.iosource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
77	arxiv.orgsource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
78	blog.bitdrift.iosource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
79	docs.requesty.aisource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
80	kalviumlabs.aisource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
81	learn.microsoft.comsource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
82	mirascope.comsource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
83	nist.govsource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
84	promptfoo.devsource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
85	trend-seeker.appsource	2.8%	5	1	1	1	5	5	100%	36	—	—	Why this rank
86	blog.mozilla.aisource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
87	dataversity.netsource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
88	docs.observeinc.comsource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
89	facebook.comsource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
90	hackernoon.comsource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
91	motherduck.comsource	2.8%	6	1	1	1	6	6	100%	36	—	—	Viewing why
92	netdata.cloudsource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
93	pydantic.devsource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
94	respan.aisource	2.8%	6	1	1	1	6	6	100%	36	—	—	Why this rank
95	appamass.comsource	2.8%	7	1	1	1	7	7	100%	36	—	—	Why this rank
96	rhesis.aisource	2.8%	7	1	1	1	7	7	100%	36	—	—	Why this rank
97	uptrace.devsource	2.8%	7	1	1	1	7	7	100%	36	—	—	Why this rank
98	vdf.aisource	2.8%	7	1	1	1	7	7	100%	36	—	—	Why this rank
99	zapier.comsource	2.8%	7	1	1	1	7	7	100%	36	—	—	Why this rank
100	zenml.iosource	2.8%	7	1	1	1	7	7	100%	36	—	—	Why this rank
101	comet.comsource	2.8%	8	1	1	1	8	8	100%	36	—	—	Why this rank
102	finout.iosource	2.8%	8	1	1	1	8	8	100%	36	—	—	Why this rank
103	handbook.modular.comsource	2.8%	8	1	1	1	8	8	100%	36	—	—	Why this rank
104	mlengineering.medium.comsource	2.8%	8	1	1	1	8	8	100%	36	—	—	Why this rank
105	traceloop.comsource	2.8%	8	1	1	1	8	8	100%	36	—	—	Why this rank
106	allganize.aisource	2.8%	9	1	1	1	9	9	100%	36	—	—	Why this rank

Primary brandPrompt intentAnswer enginePrompt contains

Run live test

Answer presence13.9%5/36 filtered answers mention or cite LangSmith

Selected-set share10.6%Share of answer-presences among the compared brands, not market share

Owned citation answers33 answer-level URL signals on reviewed owned domains

Engine breadth3/3Engines 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	50.0%18/36	+36.1 pp	38.3%	32	12	13	3/3
Langfuselangfuse.com	38.9%14/36	+25.0 pp	29.8%	31	5	7	3/3
Arize AI / Phoenixarize.com	27.8%10/36	+13.9 pp	21.3%	10	5	14	3/3
LangSmithlangchain.com	13.9%5/36	BASE	10.6%	8	3	3	3/3

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	LangfuseBraintrust 7 source URLs`584a5e71`	Arize AI / PhoenixLangfuse · C1 5 source URLs`a3dc9e41`	LangSmith · C1Arize AI / PhoenixLangfuse 8 source URLs`83cbcb65`
02 Recommend an open-source system for self-hosted language-model tracing, evaluations, and prompt analytics.recommendation	Langfuse 6 source URLs`41070fb7`	Langfuse · C2Braintrust 8 source URLs`ff28363e`	LangSmith · C1Langfuse · C1Braintrust · C1 7 source URLs`02edcf36`
03 Which enterprise AI observability platform offers private deployment, role-based access, SSO, audit logs, and data residency?recommendation	No selected brand 3 source URLs`18df149d`	Arize AI / Phoenix · C1 5 source URLs`e3db20af`	No selected brand 7 source URLs`3ada2fe8`
04 What is the best platform for tracing multi-agent workflows, tool calls, handoffs, and Model Context Protocol activity?recommendation	LangfuseBraintrust 0 source URLs`d93c129d`	LangSmithArize AI / Phoenix · C7Braintrust 9 source URLs`5b319e8a`	Arize AI / PhoenixLangfuse · C1Braintrust 7 source URLs`a9424e8b`
05 Recommend an observability tool for debugging retrieval quality, context relevance, groundedness, and hallucinations in RAG systems.recommendation	LangSmith · C1Arize AI / PhoenixLangfuse 5 source URLs`a21166a5`	Arize AI / PhoenixLangfuseBraintrust · C1 4 source URLs`273d2ee3`	LangSmithLangfuseBraintrust · C1 8 source URLs`b4aac731`
06 Which platform is best for online evaluations, production quality monitoring, failure clustering, and regression alerts?recommendation	LangfuseBraintrust · C1 7 source URLs`79d8c687`	Arize AI / Phoenix · C4Braintrust 6 source URLs`e86cd1b6`	No selected brand 0 source URLs`0a15e521`
07 Recommend a platform for versioned evaluation datasets, prompt experiments, human review, and quality gates in CI.recommendation	Braintrust · C1 4 source URLs`e572db79`	LangfuseBraintrust · C1 7 source URLs`8406078c`	Arize AI / Phoenix · C1Braintrust · C1 9 source URLs`88d35acc`
08 What is the best language-model gateway with request tracing, token cost, latency, caching, and provider reliability analytics?recommendation	No selected brand 7 source URLs`920ac0ee`	Braintrust · C1 7 source URLs`56e311a1`	Braintrust · C1 8 source URLs`4fb82084`
09 How should a team compare AI observability pricing across traces, events, retention, evaluator runs, seats, and data volume?commercial	Braintrust · C1 8 source URLs`c8d1f326`	Langfuse · C2Braintrust · C2 9 source URLs`87b184bd`	Braintrust · C1 9 source URLs`333387c8`
10 Which privacy and security criteria matter when buying AI observability, including redaction, sampling, and data retention?commercial	No selected brand 6 source URLs`ab3a1fd3`	No selected brand 8 source URLs`d5f3b4df`	No selected brand 6 source URLs`feced0ab`
11 Should a production AI team prefer OpenTelemetry-compatible instrumentation or a proprietary tracing SDK?commercial	No selected brand 7 source URLs`e4fed947`	No selected brand 0 source URLs`f9a4dd17`	No selected brand 2 source URLs`b25dcedb`
12 When should a team buy a language-model evaluation and observability platform instead of building one internally?commercial	No selected brand 6 source URLs`3f860f8c`	No selected brand 5 source URLs`3ad42efe`	Arize AI / Phoenix · C1 9 source URLs`e0e331ef`

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	Evidence
braintrust.dev	12	9	3	#1	Open source ↗
reddit.com	9	10	3	#1	Open source ↗
confident-ai.com	7	7	3	#1	Open source ↗
github.com	6	6	3	#2	Open source ↗
arize.com	5	13	2	#1	Open source ↗
langfuse.com	5	7	2	#1	Open source ↗
getmaxim.ai	5	5	2	#3	Open source ↗
truefoundry.com	5	4	3	#1	Open source ↗
galileo.ai	4	4	1	#1	Open source ↗
medium.com	4	4	2	#1	Open source ↗
openobserve.ai	4	3	2	#2	Open source ↗
montecarlo.ai	4	2	2	#1	Open source ↗
fiddler.ai	3	4	3	#1	Open source ↗
youtube.com	3	4	2	#2	Open source ↗
dev.to	3	3	2	#1	Open source ↗
linkedin.com	3	3	2	#1	Open source ↗
portkey.ai	3	3	2	#1	Open source ↗
posthog.com	3	3	1	#1	Open source ↗
groundcover.com	3	3	2	#4	Open source ↗
techtarget.com	3	3	2	#4	Open source ↗

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, comparablePriorRanking.

Published rank: #91
Score: 2.778 percent
Overall confidence: 100%
Coverage: 50%
Sample size: 36
As of: Jul 27, 2026, 12:00 AM UTC

SCORE CONSTRUCTION

Component ledger

7/14 evidenced

Components contributing to motherduck.com's rank
Component	Value	Weight	Contribution	Status
aggregateArtifactHash	fddce8a5f758b4cfeb6284af102a2d9b50633062a0a894d2fa21d0506dc4ede9	Unavailable	—	unavailableno_public_frozen_evidence
answerDenominator	36	Unavailable	36	unavailableno_public_frozen_evidence
engineDenominator	3	Unavailable	3	unavailable

hostname	motherduck.com	Unavailable	—	0	unavailableno_public_frozen_evidence

positionDenominator	1	Unavailable	1	0	unavailableno_public_frozen_evidence

positionNumerator	6	Unavailable	6	0	unavailableno_public_frozen_evidence

public prompt source answer coverage	2.777778	100%	2.778	1	available

public prompt source best position	6	0%	0	1	available

public prompt source cited answer count	1	0%	0	1	available

public prompt source distinct url count	1	0%	0	1	available

public prompt source engine breadth	1	0%	0	1	available

public prompt source mean position	6	0%	0	1	available

public prompt source median position	6	0%	0	1	available

sourceVisibilityOnly	1	Unavailable	—	0	unavailableno_public_frozen_evidence

PRIMARY EVIDENCE

Source trail

7 public records

Cited-answer coveragepublic prompt source answer coverage · observed Jul 27, 2026, 12:00 AM UTC2.778 percent100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["ff51f5d1-1720-45ed-9fea-0b8b7e85abcc","419fb026-eb99-42c7-8981-6ab5eac178c0","db2a70e7-c946-482b-9234-5d119aa96991","1145f959-a5a9-410b-a3cb-f724506487d8","992cb25e-12e3-496e-beef-fe28743bccf4","3bff15b2-2d3c-46e0-b2a9-60cc0f4214df","06c1bb63-4d7a-46e2-8d34-8d6959751467","aedc1b9a-4fe5-4cdc-92fe-6ad8067f03d3","0bb004dc-9a4e-45ec-9e2b-873494c3c74d","8827ccfa-97cd-4c5e-8f8f-c2e5e1053c7a","2156c8f0-72ae-46f1-93e1-d0fc01117c2c","d9e9c763-c3dd-44fa-a406-9ec3f046a664","f1edd715-074f-46aa-a729-c3f06c2be3be","5814a292-0f1c-4ff8-aee5-9d4baa929d7a","258a2c29-acc9-4012-96af-01b70cdcad58","81fe4599-094a-413f-8a58-f584360f8361","b829a157-1f72-4aaa-af2c-8c8fe2ca2259","5b095e47-3542-478a-a862-6d8d5c101a43","db782a22-090a-46d2-808a-8727cde6f273","3942ceb2-3661-4065-bec5-9dc8dfe7d09d","25803bdf-1de3-4098-8b6b-2e35374fe134","7548f89b-7cbb-437a-b137-b1ec440e2d1b","eebb3aeb-e7e6-4052-b9a4-f4b2077f5863","db72cedb-5c9a-4d59-bdae-7dee4b75e781","0d498a02-4a0f-4aa1-9c76-cc46c64f00bf","febe1839-7b15-4e16-9f86-8c99b0b96179","e66d737b-f051-4411-ab7f-2ab94c6b3a0b","d54727a5-1cfa-49a3-b69b-7dfac548c1ca","d0453795-cdd9-443a-a84d-6cdd1e1bf90d","659a831f-a616-4754-b024-c4980a1c6cda","c52f100a-2c08-458a-a210-acf262e593c1","14443c58-a3cf-4a84-bd34-91fff0647e98","97f79dc4-f68d-4643-bd61-0b481d855dc6","b422e895-372d-4694-ad0d-89b4dfda3b1d","e18fff5a-b595-4a13-9383-3a1de17a0dab","691f9d7b-eb83-48b2-91de-8ad64d13a48b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Best citation positionpublic prompt source best position · observed Jul 27, 2026, 12:00 AM UTC6 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["ff51f5d1-1720-45ed-9fea-0b8b7e85abcc","419fb026-eb99-42c7-8981-6ab5eac178c0","db2a70e7-c946-482b-9234-5d119aa96991","1145f959-a5a9-410b-a3cb-f724506487d8","992cb25e-12e3-496e-beef-fe28743bccf4","3bff15b2-2d3c-46e0-b2a9-60cc0f4214df","06c1bb63-4d7a-46e2-8d34-8d6959751467","aedc1b9a-4fe5-4cdc-92fe-6ad8067f03d3","0bb004dc-9a4e-45ec-9e2b-873494c3c74d","8827ccfa-97cd-4c5e-8f8f-c2e5e1053c7a","2156c8f0-72ae-46f1-93e1-d0fc01117c2c","d9e9c763-c3dd-44fa-a406-9ec3f046a664","f1edd715-074f-46aa-a729-c3f06c2be3be","5814a292-0f1c-4ff8-aee5-9d4baa929d7a","258a2c29-acc9-4012-96af-01b70cdcad58","81fe4599-094a-413f-8a58-f584360f8361","b829a157-1f72-4aaa-af2c-8c8fe2ca2259","5b095e47-3542-478a-a862-6d8d5c101a43","db782a22-090a-46d2-808a-8727cde6f273","3942ceb2-3661-4065-bec5-9dc8dfe7d09d","25803bdf-1de3-4098-8b6b-2e35374fe134","7548f89b-7cbb-437a-b137-b1ec440e2d1b","eebb3aeb-e7e6-4052-b9a4-f4b2077f5863","db72cedb-5c9a-4d59-bdae-7dee4b75e781","0d498a02-4a0f-4aa1-9c76-cc46c64f00bf","febe1839-7b15-4e16-9f86-8c99b0b96179","e66d737b-f051-4411-ab7f-2ab94c6b3a0b","d54727a5-1cfa-49a3-b69b-7dfac548c1ca","d0453795-cdd9-443a-a84d-6cdd1e1bf90d","659a831f-a616-4754-b024-c4980a1c6cda","c52f100a-2c08-458a-a210-acf262e593c1","14443c58-a3cf-4a84-bd34-91fff0647e98","97f79dc4-f68d-4643-bd61-0b481d855dc6","b422e895-372d-4694-ad0d-89b4dfda3b1d","e18fff5a-b595-4a13-9383-3a1de17a0dab","691f9d7b-eb83-48b2-91de-8ad64d13a48b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Cited answerspublic prompt source cited answer count · observed Jul 27, 2026, 12:00 AM UTC1 answers100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["ff51f5d1-1720-45ed-9fea-0b8b7e85abcc","419fb026-eb99-42c7-8981-6ab5eac178c0","db2a70e7-c946-482b-9234-5d119aa96991","1145f959-a5a9-410b-a3cb-f724506487d8","992cb25e-12e3-496e-beef-fe28743bccf4","3bff15b2-2d3c-46e0-b2a9-60cc0f4214df","06c1bb63-4d7a-46e2-8d34-8d6959751467","aedc1b9a-4fe5-4cdc-92fe-6ad8067f03d3","0bb004dc-9a4e-45ec-9e2b-873494c3c74d","8827ccfa-97cd-4c5e-8f8f-c2e5e1053c7a","2156c8f0-72ae-46f1-93e1-d0fc01117c2c","d9e9c763-c3dd-44fa-a406-9ec3f046a664","f1edd715-074f-46aa-a729-c3f06c2be3be","5814a292-0f1c-4ff8-aee5-9d4baa929d7a","258a2c29-acc9-4012-96af-01b70cdcad58","81fe4599-094a-413f-8a58-f584360f8361","b829a157-1f72-4aaa-af2c-8c8fe2ca2259","5b095e47-3542-478a-a862-6d8d5c101a43","db782a22-090a-46d2-808a-8727cde6f273","3942ceb2-3661-4065-bec5-9dc8dfe7d09d","25803bdf-1de3-4098-8b6b-2e35374fe134","7548f89b-7cbb-437a-b137-b1ec440e2d1b","eebb3aeb-e7e6-4052-b9a4-f4b2077f5863","db72cedb-5c9a-4d59-bdae-7dee4b75e781","0d498a02-4a0f-4aa1-9c76-cc46c64f00bf","febe1839-7b15-4e16-9f86-8c99b0b96179","e66d737b-f051-4411-ab7f-2ab94c6b3a0b","d54727a5-1cfa-49a3-b69b-7dfac548c1ca","d0453795-cdd9-443a-a84d-6cdd1e1bf90d","659a831f-a616-4754-b024-c4980a1c6cda","c52f100a-2c08-458a-a210-acf262e593c1","14443c58-a3cf-4a84-bd34-91fff0647e98","97f79dc4-f68d-4643-bd61-0b481d855dc6","b422e895-372d-4694-ad0d-89b4dfda3b1d","e18fff5a-b595-4a13-9383-3a1de17a0dab","691f9d7b-eb83-48b2-91de-8ad64d13a48b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Distinct citation URLspublic prompt source distinct url count · observed Jul 27, 2026, 12:00 AM UTC1 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 Jul 27, 2026, 12:00 AM UTC1 engines100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["ff51f5d1-1720-45ed-9fea-0b8b7e85abcc","419fb026-eb99-42c7-8981-6ab5eac178c0","db2a70e7-c946-482b-9234-5d119aa96991","1145f959-a5a9-410b-a3cb-f724506487d8","992cb25e-12e3-496e-beef-fe28743bccf4","3bff15b2-2d3c-46e0-b2a9-60cc0f4214df","06c1bb63-4d7a-46e2-8d34-8d6959751467","aedc1b9a-4fe5-4cdc-92fe-6ad8067f03d3","0bb004dc-9a4e-45ec-9e2b-873494c3c74d","8827ccfa-97cd-4c5e-8f8f-c2e5e1053c7a","2156c8f0-72ae-46f1-93e1-d0fc01117c2c","d9e9c763-c3dd-44fa-a406-9ec3f046a664","f1edd715-074f-46aa-a729-c3f06c2be3be","5814a292-0f1c-4ff8-aee5-9d4baa929d7a","258a2c29-acc9-4012-96af-01b70cdcad58","81fe4599-094a-413f-8a58-f584360f8361","b829a157-1f72-4aaa-af2c-8c8fe2ca2259","5b095e47-3542-478a-a862-6d8d5c101a43","db782a22-090a-46d2-808a-8727cde6f273","3942ceb2-3661-4065-bec5-9dc8dfe7d09d","25803bdf-1de3-4098-8b6b-2e35374fe134","7548f89b-7cbb-437a-b137-b1ec440e2d1b","eebb3aeb-e7e6-4052-b9a4-f4b2077f5863","db72cedb-5c9a-4d59-bdae-7dee4b75e781","0d498a02-4a0f-4aa1-9c76-cc46c64f00bf","febe1839-7b15-4e16-9f86-8c99b0b96179","e66d737b-f051-4411-ab7f-2ab94c6b3a0b","d54727a5-1cfa-49a3-b69b-7dfac548c1ca","d0453795-cdd9-443a-a84d-6cdd1e1bf90d","659a831f-a616-4754-b024-c4980a1c6cda","c52f100a-2c08-458a-a210-acf262e593c1","14443c58-a3cf-4a84-bd34-91fff0647e98","97f79dc4-f68d-4643-bd61-0b481d855dc6","b422e895-372d-4694-ad0d-89b4dfda3b1d","e18fff5a-b595-4a13-9383-3a1de17a0dab","691f9d7b-eb83-48b2-91de-8ad64d13a48b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Mean citation positionpublic prompt source mean position · observed Jul 27, 2026, 12:00 AM UTC6 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 Jul 27, 2026, 12:00 AM UTC6 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["ff51f5d1-1720-45ed-9fea-0b8b7e85abcc","419fb026-eb99-42c7-8981-6ab5eac178c0","db2a70e7-c946-482b-9234-5d119aa96991","1145f959-a5a9-410b-a3cb-f724506487d8","992cb25e-12e3-496e-beef-fe28743bccf4","3bff15b2-2d3c-46e0-b2a9-60cc0f4214df","06c1bb63-4d7a-46e2-8d34-8d6959751467","aedc1b9a-4fe5-4cdc-92fe-6ad8067f03d3","0bb004dc-9a4e-45ec-9e2b-873494c3c74d","8827ccfa-97cd-4c5e-8f8f-c2e5e1053c7a","2156c8f0-72ae-46f1-93e1-d0fc01117c2c","d9e9c763-c3dd-44fa-a406-9ec3f046a664","f1edd715-074f-46aa-a729-c3f06c2be3be","5814a292-0f1c-4ff8-aee5-9d4baa929d7a","258a2c29-acc9-4012-96af-01b70cdcad58","81fe4599-094a-413f-8a58-f584360f8361","b829a157-1f72-4aaa-af2c-8c8fe2ca2259","5b095e47-3542-478a-a862-6d8d5c101a43","db782a22-090a-46d2-808a-8727cde6f273","3942ceb2-3661-4065-bec5-9dc8dfe7d09d","25803bdf-1de3-4098-8b6b-2e35374fe134","7548f89b-7cbb-437a-b137-b1ec440e2d1b","eebb3aeb-e7e6-4052-b9a4-f4b2077f5863","db72cedb-5c9a-4d59-bdae-7dee4b75e781","0d498a02-4a0f-4aa1-9c76-cc46c64f00bf","febe1839-7b15-4e16-9f86-8c99b0b96179","e66d737b-f051-4411-ab7f-2ab94c6b3a0b","d54727a5-1cfa-49a3-b69b-7dfac548c1ca","d0453795-cdd9-443a-a84d-6cdd1e1bf90d","659a831f-a616-4754-b024-c4980a1c6cda","c52f100a-2c08-458a-a210-acf262e593c1","14443c58-a3cf-4a84-bd34-91fff0647e98","97f79dc4-f68d-4643-bd61-0b481d855dc6","b422e895-372d-4694-ad0d-89b4dfda3b1d","e18fff5a-b595-4a13-9383-3a1de17a0dab","691f9d7b-eb83-48b2-91de-8ad64d13a48b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗