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Enterprise search & RAG

Most cited domains in enterprise search answers

84 sites ranked by how often AI answers cite 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

27.8%

gosearch.ai ranks first

Cited answer coverage

84

Sites ranked

of 98 tracked; the rest are below the quality bar

Sep 15

Snapshot recorded

2026 · Rotating schedule

36

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 84 sites by cited answer coverage

gosearch.ai leads at 27.8%; the middle of the board sits at 2.8%.

Ahead of second place
8.3%
Held by the top three
17%
Middle of the board
2.8%
Below half the leader
80 of 84
Highest 27.8%Middle 2.8%
1. gosearch.ai: 27.8%2. glean.com: 19.4%3. moveworks.com: 16.7%4. onyx.app: 13.9%5. rank.ai: 11.1%6. chapsvision.com: 11.1%7. bloomfire.com: 8.3%8. kore.ai: 8.3%9. slack.com: 8.3%10. elastic.co: 8.3%11. instaclustr.com: 8.3%12. github.com: 5.6%13. firecrawl.dev: 5.6%14. superlinked.com: 5.6%15. gartner.com: 5.6%16. techcommunity.microsoft.com: 5.6%17. squirro.com: 5.6%18. youtube.com: 5.6%19. medium.com: 5.6%20. hebbia.com: 5.6%21. meilisearch.com: 5.6%22. alpha-sense.com: 5.6%23. atolio.com: 2.8%24. groundcover.com: 2.8%25. nhimg.org: 2.8%26. stepsize.com: 2.8%27. alrafayglobal.com: 2.8%28. azure.microsoft.com: 2.8%29. beyondintranet.com: 2.8%30. confident-ai.com: 2.8%31. happysupport.ai: 2.8%32. kapa.ai: 2.8%33. opensearch.org: 2.8%34. reclaim.ai: 2.8%35. reddit.com: 2.8%36. servicenow.com: 2.8%37. the-main-thread.com: 2.8%38. clickup.com: 2.8%39. coveo.com: 2.8%40. docs.cloud.google.com: 2.8%41. golinks.com: 2.8%42. konghq.com: 2.8%43. read.ai: 2.8%44. solved.scality.com: 2.8%45. uplandsoftware.com: 2.8%46. xtium.com: 2.8%47. cake.ai: 2.8%48. datadoghq.com: 2.8%49. goldenowl.asia: 2.8%50. insiderthreatmatrix.org: 2.8%51. olostep.com: 2.8%52. optro.ai: 2.8%53. phoenixdata.ai: 2.8%54. qlik.com: 2.8%55. tow.dev: 2.8%56. truefoundry.com: 2.8%57. cribl.io: 2.8%58. enterprisedna.co: 2.8%59. fortanix.com: 2.8%60. personal.ai: 2.8%61. quellixlabs.com: 2.8%62. searchunify.com: 2.8%63. vero-ai.com: 2.8%64. zendesk.com: 2.8%65. arize.com: 2.8%66. axerosolutions.com: 2.8%67. confluent.io: 2.8%68. deepermind.ai: 2.8%69. help.splunk.com: 2.8%70. ibl.ai: 2.8%71. learn.microsoft.com: 2.8%72. onspring.com: 2.8%73. upcloud.com: 2.8%74. joysuite.com: 2.8%75. linkedin.com: 2.8%76. towardsdatascience.com: 2.8%77. vantagepoint.io: 2.8%78. alibabacloud.com: 2.8%79. egain.com: 2.8%80. ibm.com: 2.8%81. rezolve.ai: 2.8%82. actionsync.ai: 2.8%83. articsledge.com: 2.8%84. unstructured.io: 2.8%
Rank 1One bar per published rowRank 84

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.

answers citing it: 1 on 62 of 84 rows · engines: 1 on 67 of 84 rows · 36 checks behind each row.

Most cited domains in enterprise search answers current rankings
RankNameCited answer coverageBest positionTypical positionChangeWhy
01gosearch.ai27.8%14.5 2This rank
02glean.com19.4%12 This rank
03moveworks.com16.7%33.5 7This rank
04onyx.app13.9%13 3This rank
05rank.ai11.1%11.5 1This rank
06chapsvision.com11.1%22.5 18This rank
07bloomfire.com8.3%11—This rank
08kore.ai8.3%12 7This rank
09slack.com8.3%45 11This rank
10elastic.co8.3%36 3This rank
11instaclustr.com8.3%12—This rank
12github.com5.6%11—This rank
13firecrawl.dev5.6%22.5 84This rank
14superlinked.com5.6%12.5 4This rank
15gartner.com5.6%23 10This rank
16techcommunity.microsoft.com5.6%13 21This rank
17squirro.com5.6%14 32This rank
18youtube.com5.6%66.5 10This rank
19medium.com5.6%23.5 4This rank
20hebbia.com5.6%35 4This rank
21meilisearch.com5.6%46 17This rank
22alpha-sense.com5.6%77.5 This rank
23atolio.com2.8%11 58This rank
24groundcover.com2.8%11—This rank
25nhimg.org2.8%11—This rank
26stepsize.com2.8%11—This rank
27alrafayglobal.com2.8%22—This rank
28azure.microsoft.com2.8%22—This rank
29beyondintranet.com2.8%22 17This rank
30confident-ai.com2.8%22 53This rank
31happysupport.ai2.8%22 10This rank
32kapa.ai2.8%22—This rank
33opensearch.org2.8%22 44This rank
34reclaim.ai2.8%22—This rank
35reddit.com2.8%22 26This rank
36servicenow.com2.8%22—This rank
37the-main-thread.com2.8%22 41This rank
38clickup.com2.8%33—This rank
39coveo.com2.8%13 14This rank
40docs.cloud.google.com2.8%33—This rank
41golinks.com2.8%33—This rank
42konghq.com2.8%33 23This rank
43read.ai2.8%33—This rank
44solved.scality.com2.8%33—This rank
45uplandsoftware.com2.8%33—This rank
46xtium.com2.8%33—This rank
47cake.ai2.8%44—This rank
48datadoghq.com2.8%44 36This rank
49goldenowl.asia2.8%44—This rank
50insiderthreatmatrix.org2.8%44—This rank
51olostep.com2.8%44—This rank
52optro.ai2.8%44—This rank
53phoenixdata.ai2.8%44—This rank
54qlik.com2.8%44—This rank
55tow.dev2.8%44—This rank
56truefoundry.com2.8%44—This rank
57cribl.io2.8%55—This rank
58enterprisedna.co2.8%55—This rank
59fortanix.com2.8%55 44This rank
60personal.ai2.8%55—This rank
61quellixlabs.com2.8%55—This rank
62searchunify.com2.8%55—This rank
63vero-ai.com2.8%55—This rank
64zendesk.com2.8%55—This rank
65arize.com2.8%66—This rank
66axerosolutions.com2.8%66—This rank
67confluent.io2.8%66—This rank
68deepermind.ai2.8%66—This rank
69help.splunk.com2.8%66 25This rank
70ibl.ai2.8%66 25This rank
71learn.microsoft.com2.8%66 60Showing
72onspring.com2.8%66—This rank
73upcloud.com2.8%66—This rank
74joysuite.com2.8%77—This rank
75linkedin.com2.8%77 58This rank
76towardsdatascience.com2.8%77—This rank
77vantagepoint.io2.8%77—This rank
78alibabacloud.com2.8%88 64This rank
79egain.com2.8%88 25This rank
80ibm.com2.8%88 16This rank
81rezolve.ai2.8%88—This rank
82actionsync.ai2.8%99—This rank
83articsledge.com2.8%99—This rank
84unstructured.io2.8%99—This rank

Compare brands

One brand against up to three competitors, answer by answer

12 questions × 3 model APIs · recorded Sep 15, 2026
Run a question live
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

The compared brands across the filtered answers
BrandNamed or citedAgainst primaryShare of comparedMentionsAnswers citing itLinks to its siteModel APIs
Elastic Search AIelastic.co38.9%14 of 36+8.3 pts40.0%26333 of 3
Gleanglean.com30.6%11 of 36Primary31.4%23772 of 3
Coveocoveo.com25.0%9 of 36-5.6 pts25.7%20122 of 3
Algoliaalgolia.com2.8%1 of 36-27.8 pts2.9%1001 of 3

Every answer

Which compared brands each answer names

12 questions · 36 answers · a blank cell names none of the compared brands
Compared brands named in each answer, by question and model API
QuestionOpenAIopenai/gpt-4o-miniAnthropicanthropic/claude-haiku-4-5Geminigoogle/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 sources7f88db22
None named
0 sources225b80c4
GleanCoveoElastic Search AI
9 sources7fdc28a9
02Recommend a workplace search platform that connects collaboration, document, ticketing, and CRM systems while preserving permissions.Recommendation
Glean, cited 1Elastic Search AI
5 sources7c641b34
None named
0 sourcesb24e079f
Glean, cited 1
3 sourcescd78a150
03Which enterprise knowledge-search platform is best for a regulated organization needing document-level access controls and audit trails?Recommendation
None named
5 sources89239e04
None named
0 sourcesc0c08f73
None named
9 sourcesf2c83250
04Recommend an open-source or self-hosted enterprise search platform for private retrieval-augmented generation.Recommendation
Elastic Search AI
6 sources4032f71e
Elastic Search AI
0 sourcesb4dda326
None named
6 sources8d357e16
05Which developer platform is best for hybrid keyword and vector retrieval, semantic reranking, and high-scale search?Recommendation
Elastic Search AI, cited 1
7 sources7d0b6765
None named
0 sourcesfc2fc78d
Elastic Search AI, cited 1
9 sourcesda9acbef
06Recommend a managed retrieval service for building grounded enterprise assistants with citations and source provenance.Recommendation
None named
5 sourcesc5b85d74
None named
0 sourcesd3607312
None named
7 sources9e722e80
07Which enterprise search tools offer broad application connectors, fast content refresh, and permission-aware results?Recommendation
Glean, cited 1CoveoElastic Search AI
8 sources7d0d0721
None named
0 sources876516ad
Glean
7 sourcesaa756d83
08What enterprise search platform should a global company evaluate for multilingual content, regional deployment, and access control?Recommendation
Glean, cited 1CoveoElastic Search AI
5 sourcesc34f2426
None named
0 sourcesff7c556c
Elastic Search AI, cited 1
8 sources29b57bea
09Compare enterprise AI search platforms on connectors, relevance, permissions, governance, deployment options, and analytics.Commercial comparison
Glean, cited 1Coveo, cited 2
7 sources22ed413d
None named
0 sourcesf583827f
Glean, cited 1CoveoElastic Search AIAlgolia
7 sources3f99bec0
10How should buyers compare retrieval platforms for grounded AI on accuracy, latency, observability, and total cost?Commercial comparison
None named
0 sources8d80c11d
None named
0 sourcescdd75513
None named
6 sources61bd76c8
11Which enterprise search vendors support private-cloud or on-premises deployment, model flexibility, and customer-managed encryption?Commercial comparison
GleanCoveoElastic Search AI
2 sources3bda5ade
None named
0 sourcesd5030b4e
None named
9 sources29bb6686
12Create a vendor shortlist and proof-of-concept scorecard for modernizing enterprise search and knowledge retrieval.Commercial comparison
GleanCoveoElastic Search AI
0 sourcesa7ecb668
None named
0 sources430bbce5
CoveoElastic Search AI
0 sources3e11ecf7

Sources

The sites these answers cite

Each site is read from the cited address itself.
Sites cited in the filtered answers
SiteAnswers citing itDistinct pagesModel APIsBest position
gosearch.ai10621
glean.com7521
moveworks.com6623
onyx.app5221
rank.ai4421
chapsvision.com4122
bloomfire.com3321
elastic.co3323
kore.ai3221
instaclustr.com3111
slack.com3124
gartner.com2222
medium.com2212
meilisearch.com2214
youtube.com2226
github.com2121
squirro.com2121
superlinked.com2121
techcommunity.microsoft.com2121
firecrawl.dev2122

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

learn.microsoft.com on Most-cited domains in Enterprise Search answers

Snapshot of Sep 15, 2026, 12:00 AM UTC · Link to this snapshot

Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot.

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

71

Rank on this board

2.778 percent

Score

36

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of learn.microsoft.com's score
ComponentValueContribution
Answer coverage2.7777782.778

Moved down since the previous snapshot

-60 places
  1. Answer coverage8.333 to 2.778
    -5.556
  2. Best position2 to 6
    +4
  3. Median position2 to 6
    +4
  4. Mean position2.667 to 6
    +3.333
  5. Position denominator3 to 1
    -2
  6. Position numerator8 to 6
    -2
  7. Cited answer3 to 1
    -2
  8. Distinct URL3 to 1
    -2
  9. Answer denominator36 to 36
    0
  10. Engine denominator3 to 3
    0
  11. Engine breadth1 to 1
    0

Where each number comes from

7 public records
  • Cited-answer coverageAnswer 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"}
    Open the source
  • Best citation positionBest position · observed Sep 15, 2026, 12:00 AM UTC6 position100% 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
  • Cited answersCited answer · observed Sep 15, 2026, 12:00 AM UTC1 answers100% 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
  • Distinct citation URLsDistinct URL · observed Sep 15, 2026, 12:00 AM UTC1 URLs100% 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 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"}
    Open the source
  • Mean citation positionMean position · observed Sep 15, 2026, 12:00 AM UTC6 position100% 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
  • Median citation positionMedian position · observed Sep 15, 2026, 12:00 AM UTC6 position100% 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 answer source visibility, version 2-parent-8042b71372e825c6588 observations · 1 source · quality passed
Snapshot
d09c275a-5600-4f42-ad6a-6174930d65c8
Data hash
3701111a4fe9d9d678fd977295d44d03f6171fcf7f3df36f90aadb7d0843f42c
Method hash
0e1b4f616f39d20750312af592a1c09d9c84271a425594603883a92dd2bc4d84

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.

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.