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Enterprise search & RAG

Enterprise search engine disagreement by prompt

12 prompts ranked by how differently the three model APIs answer 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

100.0%

Which enterprise search vendors support private-cloud or on-premises deployment, model flexibility, and customer-managed encryption? ranks first

Cross engine brand disagreement

12

Prompts ranked

Sep 15

Snapshot recorded

2026 · Rotating schedule

3

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 12 prompts by cross engine brand disagreement

Which enterprise search vendors support private-cloud or on-premises deployment, model flexibility, and customer-managed encryption? leads at 100.0%; the middle of the board sits at 72.2%.

Ahead of second place
6.7%
Held by the top three
35%
Middle of the board
72.2%
Below half the leader
2 of 12
Rank, name and cross engine brand disagreementMiddle 72.2%
  1. 1Which enterprise search vendors support private-cloud or on-premises deployment, model flexibility, and customer-managed encryption?100.0%
  2. 2What enterprise search platform should a global company evaluate for multilingual content, regional deployment, and access control?93.3%
  3. 3Compare enterprise AI search platforms on connectors, relevance, permissions, governance, deployment options, and analytics.85.7%
  4. 4Which enterprise search tools offer broad application connectors, fast content refresh, and permission-aware results?83.3%
  5. 5Create a vendor shortlist and proof-of-concept scorecard for modernizing enterprise search and knowledge retrieval.83.3%
  6. 6Recommend a workplace search platform that connects collaboration, document, ticketing, and CRM systems while preserving permissions.77.8%
  7. 7What are the best AI-powered enterprise search platforms for securely finding internal company knowledge?66.7%
  8. 8Recommend a managed retrieval service for building grounded enterprise assistants with citations and source provenance.66.7%
  9. 9Which enterprise knowledge-search platform is best for a regulated organization needing document-level access controls and audit trails?66.7%
  10. 10Which developer platform is best for hybrid keyword and vector retrieval, semantic reranking, and high-scale search?50.0%
  11. 11Recommend an open-source or self-hosted enterprise search platform for private retrieval-augmented generation.33.3%
  12. 12How should buyers compare retrieval platforms for grounded AI on accuracy, latency, observability, and total cost?0.0%

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.

leading brand owned citation coverage: 0 on 6 of 12 rows · 3 checks behind each row · 100% confidence across rows.

Enterprise search engine disagreement by prompt current rankings
RankNameCross engine brand disagreementPresence eventsCitation URLSDistinct reviewed brandsChangeWhy
01Which enterprise search vendors support private-cloud or on-premises deployment, model flexibility, and customer-managed encryption?100.0%7107 7This rankRun it
02What enterprise search platform should a global company evaluate for multilingual content, regional deployment, and access control?93.3%6135 5This rankRun it
03Compare enterprise AI search platforms on connectors, relevance, permissions, governance, deployment options, and analytics.85.7%10147 1This rankRun it
04Which enterprise search tools offer broad application connectors, fast content refresh, and permission-aware results?83.3%9126 1This rankRun it
05Create a vendor shortlist and proof-of-concept scorecard for modernizing enterprise search and knowledge retrieval.83.3%906 This rankRun it
06Recommend a workplace search platform that connects collaboration, document, ticketing, and CRM systems while preserving permissions.77.8%573 6This rankRun it
07What are the best AI-powered enterprise search platforms for securely finding internal company knowledge?66.7%10155 3This rankRun it
08Recommend a managed retrieval service for building grounded enterprise assistants with citations and source provenance.66.7%1121 1ShowingRun it
09Which enterprise knowledge-search platform is best for a regulated organization needing document-level access controls and audit trails?66.7%1141 8This rankRun it
10Which developer platform is best for hybrid keyword and vector retrieval, semantic reranking, and high-scale search?50.0%6143 4This rankRun it
11Recommend an open-source or self-hosted enterprise search platform for private retrieval-augmented generation.33.3%592 1This rankRun it
12How should buyers compare retrieval platforms for grounded AI on accuracy, latency, observability, and total cost?0.0%060 1This rankRun it

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

Recommend a managed retrieval service for building grounded enterprise assistants with citations and source provenance. on Enterprise Search Engine Disagreement by Prompt

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

Derives prompt-level brand leaders, cross-engine brand-set disagreement, and leading-brand owned-citation opportunity from the complete public Rank.ai benchmark cohort.

8

Rank on this board

66.667 percent

Score

3

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 Recommend a managed retrieval service for building grounded enterprise assistants with citations and source provenance.'s score
ComponentValueContribution
Engine disagreement66.66666766.667

Moved up since the previous snapshot

+1 places
  1. Leading brand owned citation coverage33.333 to 0
    -33.333
  2. Leading brand owned citation gap0 to 33.333
    +33.333
  3. Citation URLS13 to 12
    -1
  4. Presence events1 to 1
    0
  5. Distinct reviewed brands1 to 1
    0
  6. Engine disagreement66.667 to 66.667
    0
  7. Leading brand consensus33.333 to 33.333
    0

Where each number comes from

7 public records
  • Reviewed-brand presence eventsPresence events · observed Sep 15, 2026, 12:00 AM UTC1 presence_events100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"managed-grounded-assistant-retrieval","corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","c669b4dc-3397-4ffa-831b-0c731022c116"],"parentSnapshotId":"700b19bd-504a-485d-a73f-487ac78c1b02","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct citation URLsCitation URLS · observed Sep 15, 2026, 12:00 AM UTC12 urls100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"managed-grounded-assistant-retrieval","corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","c669b4dc-3397-4ffa-831b-0c731022c116"],"parentSnapshotId":"700b19bd-504a-485d-a73f-487ac78c1b02","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct reviewed brands surfacedDistinct reviewed brands · observed Sep 15, 2026, 12:00 AM UTC1 brands100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"managed-grounded-assistant-retrieval","corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","c669b4dc-3397-4ffa-831b-0c731022c116"],"parentSnapshotId":"700b19bd-504a-485d-a73f-487ac78c1b02","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Cross-engine brand disagreementEngine disagreement · observed Sep 15, 2026, 12:00 AM UTC66.667 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"managed-grounded-assistant-retrieval","corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","c669b4dc-3397-4ffa-831b-0c731022c116"],"parentSnapshotId":"700b19bd-504a-485d-a73f-487ac78c1b02","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand engine consensusLeading brand consensus · observed Sep 15, 2026, 12:00 AM UTC33.333 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"managed-grounded-assistant-retrieval","corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","c669b4dc-3397-4ffa-831b-0c731022c116"],"parentSnapshotId":"700b19bd-504a-485d-a73f-487ac78c1b02","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation coverageLeading brand owned citation coverage · observed Sep 15, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"managed-grounded-assistant-retrieval","corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","c669b4dc-3397-4ffa-831b-0c731022c116"],"parentSnapshotId":"700b19bd-504a-485d-a73f-487ac78c1b02","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation opportunityLeading brand owned citation gap · observed Sep 15, 2026, 12:00 AM UTC33.333 percentage_points100% confidence
    Source
    Rank.ai Enterprise Search Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"managed-grounded-assistant-retrieval","corpusVersion":"enterprise-search-platforms-2026-07-27","runArtifactIds":["d0ab3936-ef13-4808-b883-45c1f6d21a44","dd1944e5-d40e-4b56-bc3e-e541266d6490","c669b4dc-3397-4ffa-831b-0c731022c116"],"parentSnapshotId":"700b19bd-504a-485d-a73f-487ac78c1b02","providerMatrixVersion":"64232fd32583"}
    Open the source
Public Enterprise Search prompt leaders, engine disagreement, and citation opportunity, version 2-parent-8042b71372e825c684 observations · 1 source · quality passed
Snapshot
65ed9bc5-1cf4-4627-afd0-2eea11700970
Data hash
420b0b87b613d0103975c52ef848db9a169cc2ea0bad68be84179495ec5f3351
Method hash
cf2f3929b96134752624062a893e786eacc548a70d896e4cd4370f6b69e55932

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.