Most cited domains for LLM observability buying prompts

As of

All 50 sites by cited answer coverage

langfuse.com leads at 16.7%; the middle of the board sits at 2.8%.

Ahead of second place: 0%
Held by the top three: 21%
Middle of the board: 2.8%
Below half the leader: 46 of 50

Highest 16.7%Middle 2.8%

Rank 1One bar per published rowRank 50

answers citing it: 1 on 38 of 50 rows · engines: 1 on 40 of 50 rows · 36 checks behind each row.

Most cited domains in LLM Observability answers current rankings
Rank	Name	Cited answer coverage	Best position	Typical position	Why
01	langfuse.com	16.7%	1	2	Showing
02	braintrust.dev	16.7%	1	2	This rank
03	openobserve.ai	11.1%	1	2	This rank
04	reddit.com	11.1%	2	2.5	This rank
05	arize.com	8.3%	1	2.5	This rank
06	github.com	8.3%	1	3	This rank
07	turingpost.com	5.6%	2	2.5	This rank
08	portkey.ai	5.6%	2	3	This rank
09	agenta.ai	5.6%	4	4	This rank
10	openlit.io	5.6%	5	5	This rank
11	digitalapplied.com	5.6%	1	2	This rank
12	zenml.io	5.6%	3	4.5	This rank
13	comet.com	2.8%	1	1	This rank
14	cribl.io	2.8%	1	1	This rank
15	docs.datadoghq.com	2.8%	1	1	This rank
16	fast.io	2.8%	1	1	This rank
17	latitude.so	2.8%	1	1	This rank
18	notes.nicolevanderhoeven.com	2.8%	1	1	This rank
19	promptquorum.com	2.8%	1	1	This rank
20	truefoundry.com	2.8%	1	1	This rank
21	trulens.org	2.8%	1	1	This rank
22	zuplo.com	2.8%	1	1	This rank
23	docs.langchain.com	2.8%	1	1.5	This rank
24	opentelemetry.io	2.8%	1	1.5	This rank
25	beri.net	2.8%	2	2	This rank
26	developersdigest.tech	2.8%	2	2	This rank
27	galileo.ai	2.8%	2	2	This rank
28	langchain.com	2.8%	2	2	This rank
29	lyzr.ai	2.8%	2	2	This rank
30	therundown.ai	2.8%	2	2	This rank
31	virtido.com	2.8%	2	2	This rank
32	confident-ai.com	2.8%	1	2.5	This rank
33	fiddler.ai	2.8%	2	2.5	This rank
34	helicone.ai	2.8%	1	2.5	This rank
35	contabo.com	2.8%	3	3	This rank
36	docs.helicone.ai	2.8%	3	3	This rank
37	ibm.com	2.8%	3	3	This rank
38	john-hodge.com	2.8%	3	3	This rank
39	laracopilot.com	2.8%	3	3	This rank
40	mintlify.com	2.8%	3	3	This rank
41	requesty.ai	2.8%	3	3	This rank
42	firecrawl.dev	2.8%	4	4	This rank
43	iotdigitaltwinplm.com	2.8%	4	4	This rank
44	airbyte.com	2.8%	5	5	This rank
45	getmaxim.ai	2.8%	5	5	This rank
46	observableai.ai	2.8%	5	5	This rank
47	blog.n8n.io	2.8%	6	6	This rank
48	linkedin.com	2.8%	7	7	This rank
49	orq.ai	2.8%	7	7	This rank
50	honeycomb.io	2.8%	8	8	This rank

answers citing it: 1 on 38 of 50 rows · engines: 1 on 40 of 50 rows · 36 checks behind each row.

Most cited domains in LLM Observability answers current rankings
Rank	Name	Cited answer coverage	Best position	Typical position	Why
01	langfuse.com	16.7%	1	2	Showing
02	braintrust.dev	16.7%	1	2	This rank
03	openobserve.ai	11.1%	1	2	This rank
04	reddit.com	11.1%	2	2.5	This rank
05	arize.com	8.3%	1	2.5	This rank
06	github.com	8.3%	1	3	This rank
07	turingpost.com	5.6%	2	2.5	This rank
08	portkey.ai	5.6%	2	3	This rank
09	agenta.ai	5.6%	4	4	This rank
10	openlit.io	5.6%	5	5	This rank
11	digitalapplied.com	5.6%	1	2	This rank
12	zenml.io	5.6%	3	4.5	This rank
13	comet.com	2.8%	1	1	This rank
14	cribl.io	2.8%	1	1	This rank
15	docs.datadoghq.com	2.8%	1	1	This rank
16	fast.io	2.8%	1	1	This rank
17	latitude.so	2.8%	1	1	This rank
18	notes.nicolevanderhoeven.com	2.8%	1	1	This rank
19	promptquorum.com	2.8%	1	1	This rank
20	truefoundry.com	2.8%	1	1	This rank
21	trulens.org	2.8%	1	1	This rank
22	zuplo.com	2.8%	1	1	This rank
23	docs.langchain.com	2.8%	1	1.5	This rank
24	opentelemetry.io	2.8%	1	1.5	This rank
25	beri.net	2.8%	2	2	This rank
26	developersdigest.tech	2.8%	2	2	This rank
27	galileo.ai	2.8%	2	2	This rank
28	langchain.com	2.8%	2	2	This rank
29	lyzr.ai	2.8%	2	2	This rank
30	therundown.ai	2.8%	2	2	This rank
31	virtido.com	2.8%	2	2	This rank
32	confident-ai.com	2.8%	1	2.5	This rank
33	fiddler.ai	2.8%	2	2.5	This rank
34	helicone.ai	2.8%	1	2.5	This rank
35	contabo.com	2.8%	3	3	This rank
36	docs.helicone.ai	2.8%	3	3	This rank
37	ibm.com	2.8%	3	3	This rank
38	john-hodge.com	2.8%	3	3	This rank
39	laracopilot.com	2.8%	3	3	This rank
40	mintlify.com	2.8%	3	3	This rank
41	requesty.ai	2.8%	3	3	This rank
42	firecrawl.dev	2.8%	4	4	This rank
43	iotdigitaltwinplm.com	2.8%	4	4	This rank
44	airbyte.com	2.8%	5	5	This rank
45	getmaxim.ai	2.8%	5	5	This rank
46	observableai.ai	2.8%	5	5	This rank
47	blog.n8n.io	2.8%	6	6	This rank
48	linkedin.com	2.8%	7	7	This rank
49	orq.ai	2.8%	7	7	This rank
50	honeycomb.io	2.8%	8	8	This rank

Primary brandQuestion typeModel APIQuestion contains

Run a question live

22.2%

of these answers name or cite LangSmith

8 of 36 answers

20.5%

Its share of the compared brands' appearances

2

Answers citing its own site

3 links to its domains

3 of 3

Model APIs that name it

The compared brands across the filtered answers
Brand	Named or cited	Against primary	Share of compared	Mentions	Answers citing it	Links to its site	Model APIs
Langfuselangfuse.com	33.3%12 of 36	+11.1 pts	30.8%	24	6	11	3 of 3
Braintrustbraintrust.dev	27.8%10 of 36	+5.6 pts	25.6%	12	6	8	3 of 3
Arize AI / Phoenixarize.com	25.0%9 of 36	+2.8 pts	23.1%	10	3	6	3 of 3
LangSmithlangchain.com	22.2%8 of 36	Primary	20.5%	12	2	3	3 of 3

Compared brands named in each answer, by question and model API
Question	OpenAIopenai/gpt-6-luna	Anthropicanthropic/claude-haiku-5.5	Geminigoogle/gemini-3.1-flash-lite
01What are the best observability platforms for a production application powered by large language models?Recommendation	LangSmithArize AI / Phoenix, cited 1Langfuse 1 sources`431582c6`	LangSmithArize AI / Phoenix, cited 1Langfuse 6 sources`1697b09a`	LangSmithArize AI / PhoenixLangfuseBraintrust, cited 1 9 sources`67cba9e6`
02Recommend an open-source system for self-hosted language-model tracing, evaluations, and prompt analytics.Recommendation	Langfuse, cited 4 4 sources`120fbe8e`	Langfuse, cited 1 5 sources`f40dd720`	Langfuse, cited 1Braintrust, cited 1 5 sources`8e2c4463`
03Which enterprise AI observability platform offers private deployment, role-based access, SSO, audit logs, and data residency?Recommendation	Langfuse 0 sources`eaddb70e`	None named 3 sources`196e1109`	None named 5 sources`d20af724`
04What is the best platform for tracing multi-agent workflows, tool calls, handoffs, and Model Context Protocol activity?Recommendation	Langfuse, cited 3 3 sources`941a3822`	LangSmith, cited 1Arize AI / PhoenixLangfuse 2 sources`32d55bac`	LangSmithArize AI / PhoenixLangfuse, cited 1Braintrust 2 sources`95e624fb`
05Recommend an observability tool for debugging retrieval quality, context relevance, groundedness, and hallucinations in RAG systems.Recommendation	Arize AI / Phoenix, cited 4 4 sources`630e9ced`	Braintrust 2 sources`5856a243`	Arize AI / Phoenix 0 sources`e20c0065`
06Which platform is best for online evaluations, production quality monitoring, failure clustering, and regression alerts?Recommendation	Braintrust, cited 3 3 sources`f8fcc6cd`	Braintrust 3 sources`c7b127c6`	Arize AI / PhoenixLangfuse, cited 1Braintrust, cited 1 4 sources`5ac07dba`
07Recommend a platform for versioned evaluation datasets, prompt experiments, human review, and quality gates in CI.Recommendation	LangSmith 0 sources`36309931`	LangfuseBraintrust 4 sources`77a758c4`	LangSmithArize AI / Phoenix 0 sources`76db1691`
08What is the best language-model gateway with request tracing, token cost, latency, caching, and provider reliability analytics?Recommendation	None named 4 sources`a4ad0e6c`	None named 4 sources`cccc65d9`	Braintrust, cited 1 7 sources`7544997f`
09How should a team compare AI observability pricing across traces, events, retention, evaluator runs, seats, and data volume?Commercial comparison	None named 0 sources`198efece`	None named 0 sources`889a5d1d`	None named 0 sources`68265d17`
10Which privacy and security criteria matter when buying AI observability, including redaction, sampling, and data retention?Commercial comparison	None named 2 sources`f4b640d9`	Braintrust, cited 1 1 sources`f4a20ffc`	None named 0 sources`0d08f4c7`
11Should a production AI team prefer OpenTelemetry-compatible instrumentation or a proprietary tracing SDK?Commercial comparison	None named 2 sources`d50c7389`	None named 4 sources`f7e2c334`	None named 0 sources`0c1c4ec8`
12When should a team buy a language-model evaluation and observability platform instead of building one internally?Commercial comparison	LangSmith, cited 2 2 sources`6b259639`	None named 0 sources`6611a26b`	None named 0 sources`f6733b55`

Sites cited in the filtered answers
Site	Answers citing it	Distinct pages	Model APIs	Best position
braintrust.dev	6	8	3	1
langfuse.com	6	8	3	1
openobserve.ai	4	4	3	1
reddit.com	4	3	2	2
arize.com	3	6	2	1
github.com	3	1	2	1
digitalapplied.com	2	2	1	1
zenml.io	2	2	1	3
openlit.io	2	2	2	5
portkey.ai	2	1	2	2
turingpost.com	2	1	2	2
agenta.ai	2	1	2	4
confident-ai.com	1	2	1	1
docs.langchain.com	1	2	1	1
helicone.ai	1	2	1	1
opentelemetry.io	1	2	1	1
fiddler.ai	1	2	1	2
comet.com	1	1	1	1
cribl.io	1	1	1	1
docs.datadoghq.com	1	1	1	1

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.llm-observability-platforms-2026-07-27 / 4-llm-observability-platforms-2026-07-27-models-16124f05e021

Primary brandQuestion typeModel APIQuestion contains

Run a question live

22.2%

of these answers name or cite LangSmith

8 of 36 answers

20.5%

Its share of the compared brands' appearances

2

Answers citing its own site

3 links to its domains

3 of 3

Model APIs that name it

The compared brands across the filtered answers
Brand	Named or cited	Against primary	Share of compared	Mentions	Answers citing it	Links to its site	Model APIs
Langfuselangfuse.com	33.3%12 of 36	+11.1 pts	30.8%	24	6	11	3 of 3
Braintrustbraintrust.dev	27.8%10 of 36	+5.6 pts	25.6%	12	6	8	3 of 3
Arize AI / Phoenixarize.com	25.0%9 of 36	+2.8 pts	23.1%	10	3	6	3 of 3
LangSmithlangchain.com	22.2%8 of 36	Primary	20.5%	12	2	3	3 of 3

Compared brands named in each answer, by question and model API
Question	OpenAIopenai/gpt-6-luna	Anthropicanthropic/claude-haiku-5.5	Geminigoogle/gemini-3.1-flash-lite
01What are the best observability platforms for a production application powered by large language models?Recommendation	LangSmithArize AI / Phoenix, cited 1Langfuse 1 sources`431582c6`	LangSmithArize AI / Phoenix, cited 1Langfuse 6 sources`1697b09a`	LangSmithArize AI / PhoenixLangfuseBraintrust, cited 1 9 sources`67cba9e6`
02Recommend an open-source system for self-hosted language-model tracing, evaluations, and prompt analytics.Recommendation	Langfuse, cited 4 4 sources`120fbe8e`	Langfuse, cited 1 5 sources`f40dd720`	Langfuse, cited 1Braintrust, cited 1 5 sources`8e2c4463`
03Which enterprise AI observability platform offers private deployment, role-based access, SSO, audit logs, and data residency?Recommendation	Langfuse 0 sources`eaddb70e`	None named 3 sources`196e1109`	None named 5 sources`d20af724`
04What is the best platform for tracing multi-agent workflows, tool calls, handoffs, and Model Context Protocol activity?Recommendation	Langfuse, cited 3 3 sources`941a3822`	LangSmith, cited 1Arize AI / PhoenixLangfuse 2 sources`32d55bac`	LangSmithArize AI / PhoenixLangfuse, cited 1Braintrust 2 sources`95e624fb`
05Recommend an observability tool for debugging retrieval quality, context relevance, groundedness, and hallucinations in RAG systems.Recommendation	Arize AI / Phoenix, cited 4 4 sources`630e9ced`	Braintrust 2 sources`5856a243`	Arize AI / Phoenix 0 sources`e20c0065`
06Which platform is best for online evaluations, production quality monitoring, failure clustering, and regression alerts?Recommendation	Braintrust, cited 3 3 sources`f8fcc6cd`	Braintrust 3 sources`c7b127c6`	Arize AI / PhoenixLangfuse, cited 1Braintrust, cited 1 4 sources`5ac07dba`
07Recommend a platform for versioned evaluation datasets, prompt experiments, human review, and quality gates in CI.Recommendation	LangSmith 0 sources`36309931`	LangfuseBraintrust 4 sources`77a758c4`	LangSmithArize AI / Phoenix 0 sources`76db1691`
08What is the best language-model gateway with request tracing, token cost, latency, caching, and provider reliability analytics?Recommendation	None named 4 sources`a4ad0e6c`	None named 4 sources`cccc65d9`	Braintrust, cited 1 7 sources`7544997f`
09How should a team compare AI observability pricing across traces, events, retention, evaluator runs, seats, and data volume?Commercial comparison	None named 0 sources`198efece`	None named 0 sources`889a5d1d`	None named 0 sources`68265d17`
10Which privacy and security criteria matter when buying AI observability, including redaction, sampling, and data retention?Commercial comparison	None named 2 sources`f4b640d9`	Braintrust, cited 1 1 sources`f4a20ffc`	None named 0 sources`0d08f4c7`
11Should a production AI team prefer OpenTelemetry-compatible instrumentation or a proprietary tracing SDK?Commercial comparison	None named 2 sources`d50c7389`	None named 4 sources`f7e2c334`	None named 0 sources`0c1c4ec8`
12When should a team buy a language-model evaluation and observability platform instead of building one internally?Commercial comparison	LangSmith, cited 2 2 sources`6b259639`	None named 0 sources`6611a26b`	None named 0 sources`f6733b55`

Sites cited in the filtered answers
Site	Answers citing it	Distinct pages	Model APIs	Best position
braintrust.dev	6	8	3	1
langfuse.com	6	8	3	1
openobserve.ai	4	4	3	1
reddit.com	4	3	2	2
arize.com	3	6	2	1
github.com	3	1	2	1
digitalapplied.com	2	2	1	1
zenml.io	2	2	1	3
openlit.io	2	2	2	5
portkey.ai	2	1	2	2
turingpost.com	2	1	2	2
agenta.ai	2	1	2	4
confident-ai.com	1	2	1	1
docs.langchain.com	1	2	1	1
helicone.ai	1	2	1	1
opentelemetry.io	1	2	1	1
fiddler.ai	1	2	1	2
comet.com	1	1	1	1
cribl.io	1	1	1	1
docs.datadoghq.com	1	1	1	1

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.llm-observability-platforms-2026-07-27 / 4-llm-observability-platforms-2026-07-27-models-16124f05e021

Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot, comparable prior ranking.

Ranks URL-derived citation hostnames in the complete public prompt benchmark without additional provider calls.

1

Rank on this board

16.667 percent

Score

36

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of langfuse.com's score
Component	Value	Contribution
Answer coverage	16.666667	16.667

Moved up since the previous snapshot

+5 places

methodology_changed

The method changed since the previous snapshot, so the two are not directly comparable.

No component moved since the previous snapshot.

Where each number comes from

7 public records

Cited-answer coverageAnswer coverage · observed Oct 22, 2026, 12:00 AM UTC16.667 percent100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Best citation positionBest position · observed Oct 22, 2026, 12:00 AM UTC1 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Cited answersCited answer · observed Oct 22, 2026, 12:00 AM UTC6 answers100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Distinct citation URLsDistinct URL · observed Oct 22, 2026, 12:00 AM UTC8 URLs100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Engine breadthEngine breadth · observed Oct 22, 2026, 12:00 AM UTC3 engines100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Mean citation positionMean position · observed Oct 22, 2026, 12:00 AM UTC2.273 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Median citation positionMedian position · observed Oct 22, 2026, 12:00 AM UTC2 position100% confidence
Source
Rank.ai LLM Observability Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Plain textMost cited domains in LLM Observability answers. Rank.ai, data as of October 22, 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 October 22, 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 October 22, 2026
APARank.ai. (2026). Most cited domains in LLM Observability answers. Retrieved October 26, 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>

More in LLM observability

Tracing, evaluation, monitoring, and AI reliability platforms ranked across a fixed buying corpus, with brand, prompt, engine and citation source views.

3 boards

LLM observability platform rank

Reviewed AI tracing and evaluation platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.

1Langfuse50%
2Braintrust37.5%
3Arize AI / Phoenix37.5%

LLM observability platform presence

Reviewed platforms ranked by the share of all the category's answers that name or cite them.

1Langfuse33.3%
2Braintrust27.8%
3Arize AI / Phoenix25%

LLM observability citation share

Reviewed platforms ranked by distinct answer-level citations to their canonical domains.

1Langfuse129.7%
2Braintrust121.6%
3Arize AI / Phoenix116.2%

LLM observability platform rank

Reviewed AI tracing and evaluation platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.

LLM observability platform presence

Reviewed platforms ranked by the share of all the category's answers that name or cite them.

LLM observability citation share

Reviewed platforms ranked by distinct answer-level citations to their canonical domains.

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Most cited domains in LLM Observability answers

All 50 sites by cited answer coverage

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

langfuse.com on Most-cited domains in LLM Observability answers

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More in LLM observability

See how often AI names you.

One brand against up to three competitors, answer by answer

Which compared brands each answer names

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