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Enterprise search & RAG

Enterprise search brands in Anthropic model API answers

16 companies ranked by how often Anthropic's model API names or cites them.
Recorded Sep 15, 2026Rotating scheduleSource: Rank.ai's prompt benchmark: fixed buying questions put to the OpenAI, Anthropic and Google model APIs, with Rank.ai's web searchHow this board is measuredCSV / JSON

25.0%

Azure AI Search ranks first

Anthropic recommendation prompt presence

16

Companies ranked

Sep 15

Snapshot recorded

2026 · Rotating schedule

8

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 16 companies by anthropic recommendation prompt presence

Azure AI Search leads at 25.0%; the middle of the board sits at 0%.

Ahead of second place
12.5%
Held by the top three
100%
Middle of the board
0%
Below half the leader
13 of 16
Rank, name and anthropic recommendation prompt presenceMiddle 0%
  1. 1Azure AI Search25.0%
  2. 2Elastic Search AI12.5%
  3. 3Onyx AI12.5%
  4. 4GoSearch0.0%
  5. 5Glean0.0%
  6. 6Coveo0.0%
  7. 7Sinequa0.0%
  8. 8Lucidworks0.0%
  9. 9Vertex AI Search0.0%
  10. 10IBM watsonx Discovery0.0%
  11. 11Algolia0.0%
  12. 12Amazon Kendra0.0%
  13. 13deepset AI Platform0.0%
  14. 14Guru0.0%
  15. 15Vectara0.0%
  16. 16Yext Search0.0%

8 checks behind each row · 100% confidence across rows.

Enterprise search brands in Anthropic model API answers current rankings
RankNameAnthropic recommendation prompt presenceMention coverageShare of namesCited as sourceChangeWhy
01Azure AI Search25.0%16.67% · 6 / 368.7% · 6 / 696.45% · 2 / 31 2This rankMy rank
02Elastic Search AI12.5%38.89% · 14 / 3620.29% · 14 / 699.68% · 3 / 31 This rankMy rank
03Onyx AI12.5%16.67% · 6 / 368.7% · 6 / 6916.13% · 5 / 31 3This rankMy rank
04GoSearch0.0%30.56% · 11 / 3615.94% · 11 / 6932.26% · 10 / 31 1This rankMy rank
05Glean0.0%30.56% · 11 / 3615.94% · 11 / 6922.58% · 7 / 31 4This rankMy rank
06Coveo0.0%25% · 9 / 3613.04% · 9 / 696.45% · 2 / 31 2ShowingMy rank
07Sinequa0.0%13.89% · 5 / 367.25% · 5 / 690% · 0 / 31 This rankMy rank
08Lucidworks0.0%11.11% · 4 / 365.8% · 4 / 690% · 0 / 31 This rankMy rank
09Vertex AI Search0.0%2.78% · 1 / 361.45% · 1 / 693.23% · 1 / 31 6This rankMy rank
10IBM watsonx Discovery0.0%2.78% · 1 / 361.45% · 1 / 693.23% · 1 / 31 1This rankMy rank
11Algolia0.0%2.78% · 1 / 361.45% · 1 / 690% · 0 / 31 1This rankMy rank
12Amazon Kendra0.0%0% · 0 / 360% · 0 / 690% · 0 / 31 2This rankMy rank
13deepset AI Platform0.0%0% · 0 / 360% · 0 / 690% · 0 / 31 This rankMy rank
14Guru0.0%0% · 0 / 360% · 0 / 690% · 0 / 31 5This rankMy rank
15Vectara0.0%0% · 0 / 360% · 0 / 690% · 0 / 31 1This rankMy rank
16Yext Search0.0%0% · 0 / 360% · 0 / 690% · 0 / 31 This rankMy rank

Why this rank

Coveo on Enterprise Search Brands in Anthropic Model API Answers

Ranks a reviewed Enterprise Search brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.

6

Rank on this board

0 percent

Score

8

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 Coveo's score
ComponentValueContribution
Anthropic brand recommendation presence00

Moved down since the previous snapshot

-2 places
  1. Gemini brand recommendation presence0 to 12.5
    +12.5
  2. OpenAI brand mention coverage41.667 to 50
    +8.333
  3. Gemini brand mention coverage16.667 to 25
    +8.333
  4. OpenAI brand citation share20 to 12.5
    -7.5
  5. Mention coverage19.444 to 25
    +5.556
  6. Recommendation presence12.5 to 16.667
    +4.167
  7. Citation share9.091 to 6.452
    -2.639
  8. Mention share13.462 to 13.043
    -0.418
  9. Anthropic brand mention coverage0 to 0
    0
  10. Anthropic brand recommendation presence0 to 0
    0
  11. Engine breadth2 to 2
    0
  12. Gemini brand citation share0 to 0
    0
  13. OpenAI brand recommendation presence37.5 to 37.5
    0

Where each number comes from

13 public records
  • Anthropic mention coverageAnthropic brand mention coverage · observed Sep 15, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Sep 15, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Citation shareCitation share · observed Sep 15, 2026, 12:00 AM UTC6.452 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Engine breadthEngine breadth · observed Sep 15, 2026, 12:00 AM UTC2 engines100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Mention coverageMention coverage · observed Sep 15, 2026, 12:00 AM UTC25 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Reviewed-brand presence shareMention share · observed Sep 15, 2026, 12:00 AM UTC13.043 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Recommendation-prompt presenceRecommendation presence · observed Sep 15, 2026, 12:00 AM UTC16.667 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Gemini citation shareGemini brand citation share · observed Sep 15, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Gemini mention coverageGemini brand mention coverage · observed Sep 15, 2026, 12:00 AM UTC25 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Sep 15, 2026, 12:00 AM UTC12.5 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • OpenAI citation shareOpenAI brand citation share · observed Sep 15, 2026, 12:00 AM UTC12.5 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • OpenAI mention coverageOpenAI brand mention coverage · observed Sep 15, 2026, 12:00 AM UTC50 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Sep 15, 2026, 12:00 AM UTC37.5 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["6f2c67bc-e104-4095-a6bd-25ae19947d22","bd7f7fee-6dc8-4cfa-9981-39b48f151400","bbc0d259-e343-4fc1-bd38-8c083189d22a","eee356de-14f9-4159-aeb9-1e69e5d6b294","e03c915c-ead1-44c4-96c1-a93363a6ef21","c03c2534-9e4c-48ff-81a9-b2a7e9c8730a","5ae4d15b-56f4-459b-bb8a-81804676ce42","8037f38c-d5ca-41a9-b347-a2e3edce6bb0","2084e267-b130-46dd-a324-d9d4a002fe84","5a046903-9590-40cb-9760-e46697c492f9","92802ab0-d132-432f-aa2d-87b41e00454a","bdafbc22-ebe6-43e7-a7a1-289c366f9b74","8307fc24-0ade-4ddf-ad3a-a6fcea5d93a6","73e2713f-62db-497e-b209-5f5e311398fe","793dc143-c0c4-4fb9-ad49-b4634dd95925","c669b4dc-3397-4ffa-831b-0c731022c116","d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","7ae9ca44-af22-4905-9a4b-6428ea8f6e5e","0829f5c8-2e6c-489b-b136-de6ebaa7ef6b","9c282344-655e-45f8-adc1-7dd09b970210","853c4909-7dc7-4c74-bf90-1938499036c0","403f6610-5ceb-4d11-aef4-a65e279959aa","0cedc829-b078-46d5-b911-5110d2eaf0e8","b2f618bc-c0c2-4e13-9974-96b807b8c91d","ee70b1b1-ea54-4219-9a4b-5ce091234f6f","64e595c9-b413-4a89-b386-1981d7ce6b55","21eca9cc-9c2f-4ad2-adf7-af89b4f39a30","c7289ecc-5746-447b-8492-600a8e5ed5b3","d17c55f0-09c6-4ea9-9b88-e54370dd71c1","ec0cfb82-0877-42d5-91c3-6da2689f65e3","fb20c0a7-3a7f-4d05-87aa-f4b72c852473","d2025f50-d778-41c3-8f0e-40ec00ca03d7","755c247c-561f-4757-8be7-1eb12e9e0013","5f9b36ad-1ac5-4f81-a9ad-6fb57f82b9ae","515a685c-fc8d-47da-982b-81a1a06e6f4b"],"benchmarkVersion":"4-enterprise-search-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
Public Enterprise Search brand benchmark, version 4-enterprise-search-platforms-2026-07-27-models-64232fd32583208 observations · 1 source · quality passed
Snapshot
03580d6c-7573-4678-8aa2-dc108b1ffbbf
Data hash
57e17eb2f06280d85034ed22f497bb07f6c2078dc10bb2a7d59190bd5b7cfc68
Method hash
f056c78a091d31aee7d3bbb33d9d510e01f3b461f471df7bfd0119aab8308e10

More in Enterprise search & RAG

Workplace search, managed retrieval, and grounded knowledge platforms ranked across a fixed enterprise buying corpus, with brand, prompt, engine and citation source views.

3 boards
Enterprise search platform rank

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

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.