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 engine breadth
16 companies ranked by how many AI engines name them.
3 engines
Elastic Search AI ranks first
Engine breadth
16
Companies ranked
Sep 15
Snapshot recorded
2026 · Rotating schedule
3
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 16 companies by engine breadth
Elastic Search AI leads at 3 engines; the middle of the board sits at 1.5.
- Ahead of second place
- 0
- Held by the top three
- 41%
- Middle of the board
- 1.5
- Below half the leader
- 8 of 16
Rank, name and engine breadthMiddle 1.5
- 1Elastic Search AI3 engines
- 2Onyx AI3 engines
- 3Azure AI Search3 engines
- 4GoSearch2 engines
- 5Glean2 engines
- 6Coveo2 engines
- 7Sinequa2 engines
- 8Lucidworks2 engines
- 9Vertex AI Search1 engines
- 10IBM watsonx Discovery1 engines
- 11Algolia1 engines
- 12Amazon Kendra0 engines
- 13deepset AI Platform0 engines
- 14Guru0 engines
- 15Vectara0 engines
- 16Yext Search0 engines
The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.
3 checks behind each row · 100% confidence across rows.
| Rank | Name | Engine breadth | Mention coverage | Share of names | Cited as source | Change | Why |
|---|---|---|---|---|---|---|---|
| 01 | Elastic Search AI | 3 engines | 38.89% · 14 / 36 | 20.29% · 14 / 69 | 9.68% · 3 / 31 | 1 | This rankMy rank |
| 02 | Onyx AI | 3 engines | 16.67% · 6 / 36 | 8.7% · 6 / 69 | 16.13% · 5 / 31 | 4 | This rankMy rank |
| 03 | Azure AI Search | 3 engines | 16.67% · 6 / 36 | 8.7% · 6 / 69 | 6.45% · 2 / 31 | This rankMy rank | |
| 04 | GoSearch | 2 engines | 30.56% · 11 / 36 | 15.94% · 11 / 69 | 32.26% · 10 / 31 | 1 | ShowingMy rank |
| 05 | Glean | 2 engines | 30.56% · 11 / 36 | 15.94% · 11 / 69 | 22.58% · 7 / 31 | 4 | This rankMy rank |
| 06 | Coveo | 2 engines | 25% · 9 / 36 | 13.04% · 9 / 69 | 6.45% · 2 / 31 | 2 | This rankMy rank |
| 07 | Sinequa | 2 engines | 13.89% · 5 / 36 | 7.25% · 5 / 69 | 0% · 0 / 31 | This rankMy rank | |
| 08 | Lucidworks | 2 engines | 11.11% · 4 / 36 | 5.8% · 4 / 69 | 0% · 0 / 31 | This rankMy rank | |
| 09 | Vertex AI Search | 1 engines | 2.78% · 1 / 36 | 1.45% · 1 / 69 | 3.23% · 1 / 31 | 6 | This rankMy rank |
| 10 | IBM watsonx Discovery | 1 engines | 2.78% · 1 / 36 | 1.45% · 1 / 69 | 3.23% · 1 / 31 | 1 | This rankMy rank |
| 11 | Algolia | 1 engines | 2.78% · 1 / 36 | 1.45% · 1 / 69 | 0% · 0 / 31 | 1 | This rankMy rank |
| 12 | Amazon Kendra | 0 engines | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | 2 | This rankMy rank |
| 13 | deepset AI Platform | 0 engines | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | This rankMy rank | |
| 14 | Guru | 0 engines | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | 5 | This rankMy rank |
| 15 | Vectara | 0 engines | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | 1 | This rankMy rank |
| 16 | Yext Search | 0 engines | 0% · 0 / 36 | 0% · 0 / 69 | 0% · 0 / 31 | This rankMy rank |
Compare brands
One brand against up to three competitors, answer by answer
12 questions × 3 model APIs · recorded Sep 15, 2026
Compared 4 of 4
30.6%
of these answers name or cite Glean
11 of 36 answers
31.4%
Its share of the compared brands' appearances
7
Answers citing its own site
7 links to its domains
2 of 3
Model APIs that name it
| Brand | Named or cited | Against primary | Share of compared | Mentions | Answers citing it | Links to its site | Model APIs |
|---|---|---|---|---|---|---|---|
| Elastic Search AIelastic.co | 38.9%14 of 36 | +8.3 pts | 40.0% | 26 | 3 | 3 | 3 of 3 |
| Gleanglean.com | 30.6%11 of 36 | Primary | 31.4% | 23 | 7 | 7 | 2 of 3 |
| Coveocoveo.com | 25.0%9 of 36 | -5.6 pts | 25.7% | 20 | 1 | 2 | 2 of 3 |
| Algoliaalgolia.com | 2.8%1 of 36 | -27.8 pts | 2.9% | 1 | 0 | 0 | 1 of 3 |
Every answer
Which compared brands each answer names
12 questions · 36 answers · a blank cell names none of the compared brands
| Question | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/gemini-2.5-flash |
|---|---|---|---|
| 01What are the best AI-powered enterprise search platforms for securely finding internal company knowledge?Recommendation | Glean, cited 1CoveoElastic Search AI 6 sources 7f88db22 | None named 0 sources 225b80c4 | GleanCoveoElastic Search AI 9 sources 7fdc28a9 |
| 02Recommend a workplace search platform that connects collaboration, document, ticketing, and CRM systems while preserving permissions.Recommendation | Glean, cited 1Elastic Search AI 5 sources 7c641b34 | None named 0 sources b24e079f | Glean, cited 1 3 sources cd78a150 |
| 03Which enterprise knowledge-search platform is best for a regulated organization needing document-level access controls and audit trails?Recommendation | None named 5 sources 89239e04 | None named 0 sources c0c08f73 | None named 9 sources f2c83250 |
| 04Recommend an open-source or self-hosted enterprise search platform for private retrieval-augmented generation.Recommendation | Elastic Search AI 6 sources 4032f71e | Elastic Search AI 0 sources b4dda326 | None named 6 sources 8d357e16 |
| 05Which developer platform is best for hybrid keyword and vector retrieval, semantic reranking, and high-scale search?Recommendation | Elastic Search AI, cited 1 7 sources 7d0b6765 | None named 0 sources fc2fc78d | Elastic Search AI, cited 1 9 sources da9acbef |
| 06Recommend a managed retrieval service for building grounded enterprise assistants with citations and source provenance.Recommendation | None named 5 sources c5b85d74 | None named 0 sources d3607312 | None named 7 sources 9e722e80 |
| 07Which enterprise search tools offer broad application connectors, fast content refresh, and permission-aware results?Recommendation | Glean, cited 1CoveoElastic Search AI 8 sources 7d0d0721 | None named 0 sources 876516ad | Glean 7 sources aa756d83 |
| 08What enterprise search platform should a global company evaluate for multilingual content, regional deployment, and access control?Recommendation | Glean, cited 1CoveoElastic Search AI 5 sources c34f2426 | None named 0 sources ff7c556c | Elastic Search AI, cited 1 8 sources 29b57bea |
| 09Compare enterprise AI search platforms on connectors, relevance, permissions, governance, deployment options, and analytics.Commercial comparison | Glean, cited 1Coveo, cited 2 7 sources 22ed413d | None named 0 sources f583827f | Glean, cited 1CoveoElastic Search AIAlgolia 7 sources 3f99bec0 |
| 10How should buyers compare retrieval platforms for grounded AI on accuracy, latency, observability, and total cost?Commercial comparison | None named 0 sources 8d80c11d | None named 0 sources cdd75513 | None named 6 sources 61bd76c8 |
| 11Which enterprise search vendors support private-cloud or on-premises deployment, model flexibility, and customer-managed encryption?Commercial comparison | GleanCoveoElastic Search AI 2 sources 3bda5ade | None named 0 sources d5030b4e | None named 9 sources 29bb6686 |
| 12Create a vendor shortlist and proof-of-concept scorecard for modernizing enterprise search and knowledge retrieval.Commercial comparison | GleanCoveoElastic Search AI 0 sources a7ecb668 | None named 0 sources 430bbce5 | CoveoElastic Search AI 0 sources 3e11ecf7 |
Sources
The sites these answers cite
Each site is read from the cited address itself.
| Site | Answers citing it | Distinct pages | Model APIs | Best position |
|---|---|---|---|---|
| gosearch.ai | 10 | 6 | 2 | 1 |
| glean.com | 7 | 5 | 2 | 1 |
| moveworks.com | 6 | 6 | 2 | 3 |
| onyx.app | 5 | 2 | 2 | 1 |
| rank.ai | 4 | 4 | 2 | 1 |
| chapsvision.com | 4 | 1 | 2 | 2 |
| bloomfire.com | 3 | 3 | 2 | 1 |
| elastic.co | 3 | 3 | 2 | 3 |
| kore.ai | 3 | 2 | 2 | 1 |
| instaclustr.com | 3 | 1 | 1 | 1 |
| slack.com | 3 | 1 | 2 | 4 |
| gartner.com | 2 | 2 | 2 | 2 |
| medium.com | 2 | 2 | 1 | 2 |
| meilisearch.com | 2 | 2 | 1 | 4 |
| youtube.com | 2 | 2 | 2 | 6 |
| github.com | 2 | 1 | 2 | 1 |
| squirro.com | 2 | 1 | 2 | 1 |
| superlinked.com | 2 | 1 | 2 | 1 |
| techcommunity.microsoft.com | 2 | 1 | 2 | 1 |
| firecrawl.dev | 2 | 1 | 2 | 2 |
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.enterprise-search-platforms-2026-07-27 / 4-enterprise-search-platforms-2026-07-27-models-64232fd32583
Why this rank
GoSearch on Enterprise Search Engine Breadth
Snapshot of Sep 15, 2026, 12:00 AM UTC · Link to this snapshot
Ranks a reviewed Enterprise Search brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
4
Rank on this board
2 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 | 2 | 2 |
Moved up since the previous snapshot
+1 places- Gemini brand recommendation presence12.5 to 50+37.5
- OpenAI brand mention coverage25 to 50+25
- OpenAI brand recommendation presence25 to 50+25
- Recommendation presence12.5 to 33.333+20.833
- Gemini brand mention coverage25 to 41.667+16.667
- Mention coverage16.667 to 30.556+13.889
- OpenAI brand citation share20 to 31.25+11.25
- Citation share22.727 to 32.258+9.531
- Gemini brand citation share25 to 33.333+8.333
- Mention share11.538 to 15.942+4.404
- Anthropic brand mention coverage0 to 00
- Anthropic brand recommendation presence0 to 00
- Engine breadth2 to 20
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
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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 UTC32.258 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 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"}
Mention coverageMention coverage · observed Sep 15, 2026, 12:00 AM UTC30.556 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 UTC15.942 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 UTC33.333 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 citation shareGemini brand citation share · observed Sep 15, 2026, 12:00 AM UTC33.333 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 mention coverageGemini brand mention coverage · observed Sep 15, 2026, 12:00 AM UTC41.667 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"}
Gemini recommendation-prompt presenceGemini brand recommendation presence · 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"}
OpenAI citation shareOpenAI brand citation share · observed Sep 15, 2026, 12:00 AM UTC31.25 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 UTC50 percent100% confidence
- Source
- Rank.ai Enterprise Search Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Sep 15, 2026, 12:00 AM UTC50 percent100% confidence
- Source
- Rank.ai Enterprise Search Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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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.
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- The pages AI readsThe sources behind each answer.
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