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
LLM Observability engine breadth
16 companies ranked by how many AI engines name them.
3 engines
Langfuse ranks first
Engine breadth
16
Companies ranked
Oct 22
Snapshot recorded
2026 · Rotating schedule
3
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 16 companies by engine breadth
Langfuse leads at 3 engines; the middle of the board sits at 1.
- Ahead of second place
- 0
- Held by the top three
- 41%
- Middle of the board
- 1
- Below half the leader
- 10 of 16
Rank, name and engine breadthMiddle 1
- 1Langfuse3 engines
- 2Braintrust3 engines
- 3Arize AI / Phoenix3 engines
- 4LangSmith3 engines
- 5Datadog LLM Observability3 engines
- 6Helicone2 engines
- 7Fiddler1 engines
- 8Galileo1 engines
- 9Maxim AI1 engines
- 10Opik by Comet1 engines
- 11New Relic AI Observability1 engines
- 12HoneyHive0 engines
- 13Humanloop0 engines
- 14Patronus AI0 engines
- 15Traceloop0 engines
- 16W&B Weave0 engines
chatgpt recommends: 0 on 11 of 16 rows · chatgpt names it: 0 on 10 of 16 rows · 3 checks behind each row.
| Rank | Name | Engine breadth | Mention coverage | Share of names | Cited as source | Change | Why |
|---|---|---|---|---|---|---|---|
| 01 | Langfuse | 3 engines | 33.33% · 12 / 36 | 24% · 12 / 50 | 29.73% · 11 / 37 | This rankMy rank | |
| 02 | Braintrust | 3 engines | 27.78% · 10 / 36 | 20% · 10 / 50 | 21.62% · 8 / 37 | This rankMy rank | |
| 03 | Arize AI / Phoenix | 3 engines | 25% · 9 / 36 | 18% · 9 / 50 | 16.22% · 6 / 37 | This rankMy rank | |
| 04 | LangSmith | 3 engines | 22.22% · 8 / 36 | 16% · 8 / 50 | 8.11% · 3 / 37 | 1 | ShowingMy rank |
| 05 | Datadog LLM Observability | 3 engines | 11.11% · 4 / 36 | 8% · 4 / 50 | 2.7% · 1 / 37 | 2 | This rankMy rank |
| 06 | Helicone | 2 engines | 5.56% · 2 / 36 | 4% · 2 / 50 | 8.11% · 3 / 37 | 3 | This rankMy rank |
| 07 | Fiddler | 1 engines | 2.78% · 1 / 36 | 2% · 1 / 50 | 5.41% · 2 / 37 | 1 | This rankMy rank |
| 08 | Galileo | 1 engines | 2.78% · 1 / 36 | 2% · 1 / 50 | 2.7% · 1 / 37 | 2 | This rankMy rank |
| 09 | Maxim AI | 1 engines | 2.78% · 1 / 36 | 2% · 1 / 50 | 2.7% · 1 / 37 | 5 | This rankMy rank |
| 10 | Opik by Comet | 1 engines | 2.78% · 1 / 36 | 2% · 1 / 50 | 2.7% · 1 / 37 | 4 | This rankMy rank |
| 11 | New Relic AI Observability | 1 engines | 2.78% · 1 / 36 | 2% · 1 / 50 | 0% · 0 / 37 | 2 | This rankMy rank |
| 12 | HoneyHive | 0 engines | 0% · 0 / 36 | 0% · 0 / 50 | 0% · 0 / 37 | 1 | This rankMy rank |
| 13 | Humanloop | 0 engines | 0% · 0 / 36 | 0% · 0 / 50 | 0% · 0 / 37 | 1 | This rankMy rank |
| 14 | Patronus AI | 0 engines | 0% · 0 / 36 | 0% · 0 / 50 | 0% · 0 / 37 | 1 | This rankMy rank |
| 15 | Traceloop | 0 engines | 0% · 0 / 36 | 0% · 0 / 50 | 0% · 0 / 37 | 5 | This rankMy rank |
| 16 | W&B Weave | 0 engines | 0% · 0 / 36 | 0% · 0 / 50 | 0% · 0 / 37 | This rankMy rank |
Why this rank
LangSmith on LLM Observability Engine Breadth
Snapshot of Oct 22, 2026, 12:00 AM UTC · Link to this snapshot
Some explanation inputs are unavailable. Not published: comparable prior ranking.
Ranks a reviewed LLM Observability brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
4
Rank on this board
3 engines
Score
3
Answers behind the score
100% confidence · 1 of 1 components evidenced
What the score is built from
1 of 1 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Engine breadth | 3 | 3 |
Moved up since the previous snapshot
+1 placesmethodology_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
14 public recordsAnthropic citation shareAnthropic brand citation share · observed Oct 22, 2026, 12:00 AM UTC14.286 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Anthropic mention coverageAnthropic brand mention coverage · observed Oct 22, 2026, 12:00 AM UTC16.667 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Oct 22, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Citation shareCitation share · observed Oct 22, 2026, 12:00 AM UTC8.108 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
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
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Mention coverageMention coverage · observed Oct 22, 2026, 12:00 AM UTC22.222 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Reviewed-brand presence shareMention share · observed Oct 22, 2026, 12:00 AM UTC16 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Recommendation-prompt presenceRecommendation presence · observed Oct 22, 2026, 12:00 AM UTC29.167 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Gemini citation shareGemini brand citation share · observed Oct 22, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Gemini mention coverageGemini brand mention coverage · observed Oct 22, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Oct 22, 2026, 12:00 AM UTC37.5 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
OpenAI citation shareOpenAI brand citation share · observed Oct 22, 2026, 12:00 AM UTC9.524 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
OpenAI mention coverageOpenAI brand mention coverage · observed Oct 22, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"llm-observability-platforms-2026-07-27","runArtifactIds":["9e2a075d-3c64-485d-bdfd-13e9245f16f5","0eb1990c-941b-49a2-80d0-f3bc3cfbb426","70386ebd-4204-400c-bcdc-c1411631dff9","8780f9b8-3818-4862-9513-ecc905c3a0e7","ed5cf0b9-9957-4969-bb48-b24d38e23646","f2a28396-a94d-44e6-b0b6-eaf998ad5b6b","34a281bc-590a-4eb2-9c13-f3777cf9a541","e46bcc40-3682-4c64-8b4d-17989e6a4654","8c2c47af-c353-4cf0-824c-aacf2193b8e1","6ff2d38e-7f01-42cd-b044-bbfd5b5d5b56","e88e0529-0d37-4d8f-b516-f871cdd8c0de","b9ae6168-6aec-4389-8632-694f833da5cb","943be5e4-46cf-4f42-bbc3-4416b7677295","83df98d6-f8c7-4a59-8b31-7185eb1ebdc9","18605475-ed6b-42a5-85f5-a7deb970132f","19064a15-420d-4041-8723-8fccbb2a6456","b98f420d-e0ea-4d91-8733-2729e3b80ecf","4f901c58-051b-42db-9876-5ddc63419a1d","1963b455-fdc0-4a99-a55f-c296285728d0","38394a02-d6c2-4846-abf4-64ce8a4b9c4a","4fc8cde5-c00b-4ddb-8798-c16f2228d530","b31ac5e8-1280-4042-b419-03aa306f547c","c89d17a0-9c84-4377-a323-74fc7304fa8e","5ffa7349-6072-4424-ab05-2734d123425d","c0f2490d-e777-4e91-a116-8fc53bff299a","a88e6bab-ee3f-4eea-818e-8245f751aac1","ee1dbcfa-e3ab-4fc9-810b-9f2622473c56","bded4d61-f3fe-4543-8be7-00be577c1509","42299b33-91cb-495c-9965-81c755becc17","f2e0659f-510c-4a39-808c-ebe34163b330","7b488461-2238-422f-917a-e3ae541ce9ef","60378b0d-57de-4271-b5ac-389a9a62da62","fb053530-e6be-440d-9736-e4ec7ed20d53","fbd94541-8a94-4a9a-8c06-dd00187164c4","7cad07e0-10ce-48b1-b339-2799d416afd3","fa47562d-4c56-4dd1-bd7f-f607fdc7593b"],"benchmarkVersion":"4-llm-observability-platforms-2026-07-27-models-16124f05e021","providerMatrixVersion":"16124f05e021"}
OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Oct 22, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai LLM Observability Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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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.
Reviewed platforms ranked by the share of all the category's answers that name or cite them.
Reviewed platforms ranked by distinct answer-level citations to their canonical domains.
See how often AI names you.
Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.
- Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
- Who gets namedEvery competitor in the answers, most named first.
- The pages AI readsThe sources behind each answer.
- Three fixesWhat to fix first, with a brief for the first article.