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.
Enterprise search & RAG
Enterprise search brands in Anthropic model API answers
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
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
- 1Azure AI Search25.0%
- 2Elastic Search AI12.5%
- 3Onyx AI12.5%
- 4GoSearch0.0%
- 5Glean0.0%
- 6Coveo0.0%
- 7Sinequa0.0%
- 8Lucidworks0.0%
- 9Vertex AI Search0.0%
- 10IBM watsonx Discovery0.0%
- 11Algolia0.0%
- 12Amazon Kendra0.0%
- 13deepset AI Platform0.0%
- 14Guru0.0%
- 15Vectara0.0%
- 16Yext Search0.0%
8 checks behind each row · 100% confidence across rows.
| Rank | Name | Anthropic recommendation prompt presence | Mention coverage | Share of names | Cited as source | Change | Why |
|---|---|---|---|---|---|---|---|
| 01 | Azure AI Search | 25.0% | 16.67% · 6 / 36 | 8.7% · 6 / 69 | 6.45% · 2 / 31 | 2 | This rankMy rank |
| 02 | Elastic Search AI | 12.5% | 38.89% · 14 / 36 | 20.29% · 14 / 69 | 9.68% · 3 / 31 | This rankMy rank | |
| 03 | Onyx AI | 12.5% | 16.67% · 6 / 36 | 8.7% · 6 / 69 | 16.13% · 5 / 31 | 3 | This rankMy rank |
| 04 | GoSearch | 0.0% | 30.56% · 11 / 36 | 15.94% · 11 / 69 | 32.26% · 10 / 31 | 1 | This rankMy rank |
| 05 | Glean | 0.0% | 30.56% · 11 / 36 | 15.94% · 11 / 69 | 22.58% · 7 / 31 | 4 | This rankMy rank |
| 06 | Coveo | 0.0% | 25% · 9 / 36 | 13.04% · 9 / 69 | 6.45% · 2 / 31 | 2 | This rankMy rank |
| 07 | Sinequa | 0.0% | 13.89% · 5 / 36 | 7.25% · 5 / 69 | 0% · 0 / 31 | This rankMy rank | |
| 08 | Lucidworks | 0.0% | 11.11% · 4 / 36 | 5.8% · 4 / 69 | 0% · 0 / 31 | This rankMy rank | |
| 09 | Vertex AI Search | 0.0% | 2.78% · 1 / 36 | 1.45% · 1 / 69 | 3.23% · 1 / 31 | 6 | This rankMy rank |
| 10 | IBM watsonx Discovery | 0.0% | 2.78% · 1 / 36 | 1.45% · 1 / 69 | 3.23% · 1 / 31 | 1 | This rankMy rank |
| 11 | Algolia | 0.0% | 2.78% · 1 / 36 | 1.45% · 1 / 69 | 0% · 0 / 31 | 1 | ShowingMy rank |
| 12 | Amazon Kendra | 0.0% | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | 2 | This rankMy rank |
| 13 | deepset AI Platform | 0.0% | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | This rankMy rank | |
| 14 | Guru | 0.0% | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | 5 | This rankMy rank |
| 15 | Vectara | 0.0% | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | 1 | This rankMy rank |
| 16 | Yext Search | 0.0% | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | This rankMy rank |
Why this rank
Algolia 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.
11
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 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Anthropic brand recommendation presence | 0 | 0 |
Moved up since the previous snapshot
+1 places- Gemini brand mention coverage0 to 8.333+8.333
- OpenAI brand mention coverage8.333 to 0-8.333
- Mention share1.923 to 1.449-0.474
- Anthropic brand mention coverage0 to 00
- Anthropic brand recommendation presence0 to 00
- Citation share0 to 00
- Engine breadth1 to 10
- Mention coverage2.778 to 2.7780
- Recommendation presence0 to 00
- Gemini brand citation share0 to 00
- Gemini brand recommendation presence0 to 00
- OpenAI brand citation share0 to 00
- OpenAI brand recommendation presence0 to 00
Where each number comes from
13 public recordsAnthropic 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"}
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"}
Citation shareCitation 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"}
Engine breadthEngine breadth · observed Sep 15, 2026, 12:00 AM UTC1 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"}
Mention coverageMention coverage · observed Sep 15, 2026, 12:00 AM UTC2.778 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"}
Reviewed-brand presence shareMention share · observed Sep 15, 2026, 12:00 AM UTC1.449 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"}
Recommendation-prompt presenceRecommendation 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"}
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"}
Gemini mention coverageGemini brand mention coverage · observed Sep 15, 2026, 12:00 AM UTC8.333 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"}
Gemini recommendation-prompt presenceGemini 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"}
OpenAI citation shareOpenAI 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"}
OpenAI mention coverageOpenAI 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"}
OpenAI recommendation-prompt presenceOpenAI 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"}
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.
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.