Reviewed analytics platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.
BI & analytics
BI and Analytics brands in OpenAI model API answers
87.5%
Google Looker ranks first
OpenAI recommendation prompt presence
12
Companies ranked
Sep 23
Snapshot recorded
2026 · Rotating schedule
8
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 12 companies by OpenAI recommendation prompt presence
Google Looker leads at 87.5%; the middle of the board sits at 25%.
- Ahead of second place
- 12.5%
- Held by the top three
- 56%
- Middle of the board
- 25%
- Below half the leader
- 8 of 12
- 1Google Looker87.5%
- 2Domo75.0%
- 3Microsoft Power BI75.0%
- 4Tableau75.0%
- 5Qlik Cloud Analytics37.5%
- 6Sisense25.0%
- 7Sigma Computing25.0%
- 8ThoughtSpot12.5%
- 9Metabase12.5%
- 10Amazon QuickSight0.0%
- 11IBM Cognos Analytics0.0%
- 12SAP Analytics Cloud0.0%
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.
engines: 2 on 9 of 12 rows · 8 checks behind each row · 100% confidence across rows.
| Rank | Name | OpenAI recommendation prompt presence | Mention coverage | Share of names | Cited as source | Change | Why |
|---|---|---|---|---|---|---|---|
| 01 | Google Looker | 87.5% | 33.33% · 16 / 48 | 15.09% · 16 / 106 | 0% · 0 / 30 | 1 | This rankMy rank |
| 02 | Domo | 75.0% | 39.58% · 19 / 48 | 17.92% · 19 / 106 | 53.33% · 16 / 30 | 1 | This rankMy rank |
| 03 | Microsoft Power BI | 75.0% | 41.67% · 20 / 48 | 18.87% · 20 / 106 | 20% · 6 / 30 | 2 | This rankMy rank |
| 04 | Tableau | 75.0% | 41.67% · 20 / 48 | 18.87% · 20 / 106 | 10% · 3 / 30 | This rankMy rank | |
| 05 | Qlik Cloud Analytics | 37.5% | 20.83% · 10 / 48 | 9.43% · 10 / 106 | 3.33% · 1 / 30 | This rankMy rank | |
| 06 | Sisense | 25.0% | 12.5% · 6 / 48 | 5.66% · 6 / 106 | 3.33% · 1 / 30 | 1 | This rankMy rank |
| 07 | Sigma Computing | 25.0% | 6.25% · 3 / 48 | 2.83% · 3 / 106 | 3.33% · 1 / 30 | 3 | This rankMy rank |
| 08 | ThoughtSpot | 12.5% | 14.58% · 7 / 48 | 6.6% · 7 / 106 | 6.67% · 2 / 30 | 2 | This rankMy rank |
| 09 | Metabase | 12.5% | 4.17% · 2 / 48 | 1.89% · 2 / 106 | 0% · 0 / 30 | 1 | ShowingMy rank |
| 10 | Amazon QuickSight | 0.0% | 2.08% · 1 / 48 | 0.94% · 1 / 106 | 0% · 0 / 30 | 2 | This rankMy rank |
| 11 | IBM Cognos Analytics | 0.0% | 2.08% · 1 / 48 | 0.94% · 1 / 106 | 0% · 0 / 30 | This rankMy rank | |
| 12 | SAP Analytics Cloud | 0.0% | 2.08% · 1 / 48 | 0.94% · 1 / 106 | 0% · 0 / 30 | 3 | This rankMy rank |
Compare brands
One brand against up to three competitors, answer by answer
41.7%
of these answers name or cite Microsoft Power BI
20 of 48 answers
30.3%
Its share of the compared brands' appearances
3
Answers citing its own site
6 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 |
|---|---|---|---|---|---|---|---|
| Microsoft Power BImicrosoft.com | 41.7%20 of 48 | Primary | 30.3% | 39 | 3 | 6 | 2 of 3 |
| Tableautableau.com | 41.7%20 of 48 | 0.0 pts | 30.3% | 44 | 3 | 3 | 2 of 3 |
| Google Lookercloud.google.com | 33.3%16 of 48 | -8.3 pts | 24.2% | 31 | 0 | 0 | 2 of 3 |
| Qlik Cloud Analyticsqlik.com | 20.8%10 of 48 | -20.8 pts | 15.2% | 16 | 1 | 1 | 2 of 3 |
Every answer
Which compared brands each answer names
| Question | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/gemini-2.5-flash |
|---|---|---|---|
| 01Which business intelligence platforms are best for governed self-service analysis by business users and analysts?Recommendation | Microsoft Power BITableauGoogle LookerQlik Cloud Analytics 5 sources 6ffea317 | None named 0 sources 0cf07357 | Microsoft Power BITableauGoogle LookerQlik Cloud Analytics 9 sources 67862a4c |
| 02Recommend an enterprise BI platform with a governed semantic layer, lineage, certification, permissions, and auditability.Recommendation | Microsoft Power BITableauGoogle Looker 4 sources 35f742af | None named 0 sources 3773872a | None named 8 sources 778e12e3 |
| 03Which analytics platforms are strongest for embedding branded dashboards, metrics, and interactive exploration into a SaaS product?Recommendation | Microsoft Power BITableauGoogle Looker 6 sources d6f354e2 | None named 0 sources 7bf32774 | Microsoft Power BITableauGoogle Looker 6 sources 9a95e1f1 |
| 04Recommend a BI platform for executive scorecards, board reporting, scheduled distribution, mobile access, and trusted company metrics.Recommendation | Microsoft Power BI, cited 4TableauGoogle LookerQlik Cloud Analytics 5 sources 44bc58d9 | None named 0 sources eeaca107 | Microsoft Power BITableau, cited 1 5 sources 10aefcb7 |
| 05Which analytics platforms are best for developer workflows, version control, APIs, reusable models, and analytics as code?Recommendation | Google Looker 4 sources a34e5ee4 | None named 0 sources 1d064f67 | None named 5 sources 08f8a3f6 |
| 06Recommend a business intelligence platform for live analysis on a modern cloud warehouse without unnecessary data extracts.Recommendation | TableauGoogle LookerQlik Cloud Analytics 5 sources 1eb8dc2a | None named 0 sources abbcd3c1 | Qlik Cloud Analytics, cited 1 6 sources 0a1b617d |
| 07Which BI platforms provide the strongest governed natural-language query, automated insight, and generative AI analysis experience?Recommendation | Microsoft Power BITableau 6 sources 5a8b0a7f | None named 0 sources c7cfbb2a | Microsoft Power BITableauQlik Cloud Analytics 10 sources e3afa75c |
| 08What analytics platform should a startup evaluate for fast setup, reasonable cost, embedded use, and low administration overhead?Recommendation | Microsoft Power BIGoogle Looker 5 sources 6e1eba3e | None named 0 sources e6102724 | Microsoft Power BITableauGoogle Looker 6 sources d73796a7 |
| 09Compare business intelligence platforms on modeling, governance, visualization, performance, collaboration, embedding, AI, and support.Commercial comparison | Microsoft Power BITableauGoogle LookerQlik Cloud Analytics 0 sources 4c9025ad | None named 0 sources 8296a223 | Microsoft Power BITableauGoogle Looker 5 sources a1a6d673 |
| 10How should a buyer compare BI pricing across creators, viewers, capacity, embedded usage, data volume, and premium features?Commercial comparison | None named 9 sources 4a1411b7 | None named 0 sources 04abe352 | Microsoft Power BI, cited 1Tableau 4 sources 880e3bcd |
| 11Create a proof-of-concept scorecard for BI platforms covering time to insight, metric consistency, query speed, adoption, and administration.Commercial comparison | None named 0 sources b01ee903 | None named 0 sources ea5282e9 | Microsoft Power BITableauGoogle LookerQlik Cloud Analytics 0 sources efd0e041 |
| 12Compare analytics platforms on semantic modeling, reusable metrics, row-level security, lineage, testing, and change management.Commercial comparison | Microsoft Power BITableauGoogle Looker 0 sources 81a8ed50 | None named 0 sources 717a056c | None named 8 sources 68472678 |
| 13Which criteria expose lock-in and migration risk when selecting a strategic business intelligence platform?Commercial comparison | None named 8 sources a034147b | None named 0 sources 70bc70f4 | None named 6 sources 567d24b4 |
| 14Compare BI vendors on private connectivity, encryption, identity, audit logs, data residency, and regulated-industry controls.Commercial comparison | Microsoft Power BITableauGoogle Looker 6 sources 706e7b09 | None named 0 sources 8db6e2ae | None named 9 sources 162fc82e |
| 15Create a shortlist of analytics and business intelligence vendors for a global enterprise standardizing reports, metrics, and exploration.Commercial comparison | Microsoft Power BITableauGoogle LookerQlik Cloud Analytics 6 sources d8a179e3 | None named 0 sources b6df6cfa | Microsoft Power BITableau, cited 1Qlik Cloud Analytics 6 sources 0fcd6194 |
| 16When should a company consolidate dashboarding, semantic metrics, embedded analytics, planning, and AI analysis on one BI platform?Commercial comparison | Microsoft Power BI, cited 1Tableau, cited 1 5 sources ddd1bfe4 | None named 0 sources 2d3e8d31 | None named 8 sources d8f47973 |
Sources
The sites these answers cite
| Site | Answers citing it | Distinct pages | Model APIs | Best position |
|---|---|---|---|---|
| domo.com | 16 | 9 | 2 | 1 |
| holistics.io | 6 | 4 | 2 | 1 |
| omni.co | 6 | 3 | 2 | 1 |
| rank.ai | 5 | 5 | 2 | 1 |
| monday.com | 5 | 1 | 2 | 1 |
| ovaledge.com | 4 | 4 | 2 | 1 |
| reddit.com | 4 | 3 | 2 | 2 |
| microsoft.com | 3 | 3 | 2 | 1 |
| querio.ai | 3 | 3 | 2 | 1 |
| cube.dev | 3 | 3 | 2 | 2 |
| draxlr.com | 3 | 3 | 2 | 2 |
| tableau.com | 3 | 3 | 2 | 2 |
| linkedin.com | 3 | 3 | 1 | 4 |
| improvado.io | 3 | 2 | 2 | 1 |
| gooddata.ai | 3 | 1 | 2 | 1 |
| embeddable.com | 2 | 2 | 2 | 1 |
| basedash.com | 2 | 2 | 1 | 2 |
| thoughtspot.com | 2 | 2 | 2 | 2 |
| youtube.com | 2 | 2 | 1 | 2 |
| qrvey.com | 2 | 2 | 1 | 3 |
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.bi-analytics-platforms-2026-07-27 / 4-bi-analytics-platforms-2026-07-27-models-64232fd32583
Why this rank
Metabase on BI & Analytics Brands in OpenAI Model API Answers
Ranks a reviewed BI & Analytics brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
9
Rank on this board
12.5 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 |
|---|---|---|
| OpenAI brand recommendation presence | 12.5 | 12.5 |
Moved down since the previous snapshot
-1 places- Anthropic brand recommendation presence12.5 to 0-12.5
- Recommendation presence20.833 to 8.333-12.5
- Gemini brand recommendation presence25 to 12.5-12.5
- OpenAI brand recommendation presence25 to 12.5-12.5
- Gemini brand citation share10 to 0-10
- Anthropic brand mention coverage6.25 to 0-6.25
- Mention coverage10.417 to 4.167-6.25
- Gemini brand mention coverage12.5 to 6.25-6.25
- OpenAI brand mention coverage12.5 to 6.25-6.25
- Citation share3.846 to 0-3.846
- Mention share4.386 to 1.887-2.499
- Engine breadth3 to 2-1
- OpenAI brand citation share0 to 00
Where each number comes from
13 public recordsAnthropic mention coverageAnthropic brand mention coverage · observed Sep 23, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Sep 23, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Citation shareCitation share · observed Sep 23, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Engine breadthEngine breadth · observed Sep 23, 2026, 12:00 AM UTC2 engines100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"bi-analytics-platforms-2026-07-27","runArtifactIds":["394e7418-0b4f-4f0b-924d-58f3c7804f05","db3fd851-eec1-4617-848b-c7eb6ed60a40","ac2e1218-f4bb-4342-854b-3d52eb1c968d","1f0b275b-d2e5-40ee-91cc-66edaf951010","b2a51320-600a-4053-9ef3-71f2d2c21a5d","5b177a0c-71f7-43c8-b108-5c19eec46ccc","f587e677-271b-45ab-9a88-8ee0676268b5","6ce91af1-6184-46bd-a75e-2455d914fc24","b4ff67b9-2794-4fc7-8e85-e272fb914d90","92a18a7c-3e75-4b64-aa32-ce2e46156610","7ff1d198-e153-4829-8342-5d6822cd2b72","d0263f55-0379-4e86-908e-4a8667e8c8bf","42af9a04-96a6-4455-b5b4-5579d00a2177","89481134-45ac-4081-8fe6-76c39a31f849","0d8a9948-c18d-4f3c-954e-8c761b417e7c","d6aff8a0-4d48-4994-be88-275a848ac8c8","07839359-0599-4a93-bf49-336e2733f493","313c30fa-f2bb-4e73-afba-2e5331bf5f6a","64876677-90ba-49d8-a394-3a843c5c1176","ca30d616-f1fc-4cbc-b21a-ab1827f9353d","aa70bf18-2078-4dc0-beda-a1ce4b146e26","18d2b519-473e-46b8-9365-0f804bbd40ac","70f92687-87f2-4281-9bd5-e7ef5f765366","c7ce1fa5-f1d9-4b4f-87ae-eb30302fcca4","c059a28f-5620-4938-9a42-15b18e85c929","9d13ee38-f301-4b17-b38d-d6ab465f0492","bc8bd568-7e53-4e43-9770-ab35b810f94f","d0b1bb65-e00f-4eaf-9931-9aefe005c2b4","087216a4-ebcb-4a2d-a0dc-c44247b91149","06a55a1d-fd81-4916-a6f0-242154ea91fb","9536f25a-a39a-43ee-8e3b-a2f695ceb32e","f768e577-7baf-4f22-944a-74f6194355e4","932fe5d6-1860-4eb0-86c7-669e318eb1cf","d6604535-10e6-414f-9afa-e9b6ea919697","965dd878-98df-4701-834b-326dcd3ee021","5915e4fd-ba79-4675-b2bc-1396e5165140","ec8f5eed-9fa9-40e7-8b0e-d0ab166a0e80","cd2d3043-4c27-463b-9660-239b36fa6ab7","5d470a90-b720-4ecf-bf8b-7a96bb88d837","225f3991-cf63-4b3f-845a-2fba39f990ff","f0184742-be9e-4f76-beaf-1807f9f8f666","203ebe42-7129-40f4-8db8-0e2336e0067a","0f8b0da3-6673-4156-8b9b-d6769b2f97f4","cecabd2f-0ca4-44d6-a3aa-7fb22efa38d2","ce792ca7-d427-4098-9065-0575982b8a26","f4afda4e-26fe-404c-ad58-af3238e992f4","0bea1080-e86d-4333-88bf-83e78fd38756","e2d64e5f-536e-4a22-9b7f-11036a1376f4"],"benchmarkVersion":"4-bi-analytics-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Mention coverageMention coverage · observed Sep 23, 2026, 12:00 AM UTC4.167 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"bi-analytics-platforms-2026-07-27","runArtifactIds":["394e7418-0b4f-4f0b-924d-58f3c7804f05","db3fd851-eec1-4617-848b-c7eb6ed60a40","ac2e1218-f4bb-4342-854b-3d52eb1c968d","1f0b275b-d2e5-40ee-91cc-66edaf951010","b2a51320-600a-4053-9ef3-71f2d2c21a5d","5b177a0c-71f7-43c8-b108-5c19eec46ccc","f587e677-271b-45ab-9a88-8ee0676268b5","6ce91af1-6184-46bd-a75e-2455d914fc24","b4ff67b9-2794-4fc7-8e85-e272fb914d90","92a18a7c-3e75-4b64-aa32-ce2e46156610","7ff1d198-e153-4829-8342-5d6822cd2b72","d0263f55-0379-4e86-908e-4a8667e8c8bf","42af9a04-96a6-4455-b5b4-5579d00a2177","89481134-45ac-4081-8fe6-76c39a31f849","0d8a9948-c18d-4f3c-954e-8c761b417e7c","d6aff8a0-4d48-4994-be88-275a848ac8c8","07839359-0599-4a93-bf49-336e2733f493","313c30fa-f2bb-4e73-afba-2e5331bf5f6a","64876677-90ba-49d8-a394-3a843c5c1176","ca30d616-f1fc-4cbc-b21a-ab1827f9353d","aa70bf18-2078-4dc0-beda-a1ce4b146e26","18d2b519-473e-46b8-9365-0f804bbd40ac","70f92687-87f2-4281-9bd5-e7ef5f765366","c7ce1fa5-f1d9-4b4f-87ae-eb30302fcca4","c059a28f-5620-4938-9a42-15b18e85c929","9d13ee38-f301-4b17-b38d-d6ab465f0492","bc8bd568-7e53-4e43-9770-ab35b810f94f","d0b1bb65-e00f-4eaf-9931-9aefe005c2b4","087216a4-ebcb-4a2d-a0dc-c44247b91149","06a55a1d-fd81-4916-a6f0-242154ea91fb","9536f25a-a39a-43ee-8e3b-a2f695ceb32e","f768e577-7baf-4f22-944a-74f6194355e4","932fe5d6-1860-4eb0-86c7-669e318eb1cf","d6604535-10e6-414f-9afa-e9b6ea919697","965dd878-98df-4701-834b-326dcd3ee021","5915e4fd-ba79-4675-b2bc-1396e5165140","ec8f5eed-9fa9-40e7-8b0e-d0ab166a0e80","cd2d3043-4c27-463b-9660-239b36fa6ab7","5d470a90-b720-4ecf-bf8b-7a96bb88d837","225f3991-cf63-4b3f-845a-2fba39f990ff","f0184742-be9e-4f76-beaf-1807f9f8f666","203ebe42-7129-40f4-8db8-0e2336e0067a","0f8b0da3-6673-4156-8b9b-d6769b2f97f4","cecabd2f-0ca4-44d6-a3aa-7fb22efa38d2","ce792ca7-d427-4098-9065-0575982b8a26","f4afda4e-26fe-404c-ad58-af3238e992f4","0bea1080-e86d-4333-88bf-83e78fd38756","e2d64e5f-536e-4a22-9b7f-11036a1376f4"],"benchmarkVersion":"4-bi-analytics-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Reviewed-brand presence shareMention share · observed Sep 23, 2026, 12:00 AM UTC1.887 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"bi-analytics-platforms-2026-07-27","runArtifactIds":["394e7418-0b4f-4f0b-924d-58f3c7804f05","db3fd851-eec1-4617-848b-c7eb6ed60a40","ac2e1218-f4bb-4342-854b-3d52eb1c968d","1f0b275b-d2e5-40ee-91cc-66edaf951010","b2a51320-600a-4053-9ef3-71f2d2c21a5d","5b177a0c-71f7-43c8-b108-5c19eec46ccc","f587e677-271b-45ab-9a88-8ee0676268b5","6ce91af1-6184-46bd-a75e-2455d914fc24","b4ff67b9-2794-4fc7-8e85-e272fb914d90","92a18a7c-3e75-4b64-aa32-ce2e46156610","7ff1d198-e153-4829-8342-5d6822cd2b72","d0263f55-0379-4e86-908e-4a8667e8c8bf","42af9a04-96a6-4455-b5b4-5579d00a2177","89481134-45ac-4081-8fe6-76c39a31f849","0d8a9948-c18d-4f3c-954e-8c761b417e7c","d6aff8a0-4d48-4994-be88-275a848ac8c8","07839359-0599-4a93-bf49-336e2733f493","313c30fa-f2bb-4e73-afba-2e5331bf5f6a","64876677-90ba-49d8-a394-3a843c5c1176","ca30d616-f1fc-4cbc-b21a-ab1827f9353d","aa70bf18-2078-4dc0-beda-a1ce4b146e26","18d2b519-473e-46b8-9365-0f804bbd40ac","70f92687-87f2-4281-9bd5-e7ef5f765366","c7ce1fa5-f1d9-4b4f-87ae-eb30302fcca4","c059a28f-5620-4938-9a42-15b18e85c929","9d13ee38-f301-4b17-b38d-d6ab465f0492","bc8bd568-7e53-4e43-9770-ab35b810f94f","d0b1bb65-e00f-4eaf-9931-9aefe005c2b4","087216a4-ebcb-4a2d-a0dc-c44247b91149","06a55a1d-fd81-4916-a6f0-242154ea91fb","9536f25a-a39a-43ee-8e3b-a2f695ceb32e","f768e577-7baf-4f22-944a-74f6194355e4","932fe5d6-1860-4eb0-86c7-669e318eb1cf","d6604535-10e6-414f-9afa-e9b6ea919697","965dd878-98df-4701-834b-326dcd3ee021","5915e4fd-ba79-4675-b2bc-1396e5165140","ec8f5eed-9fa9-40e7-8b0e-d0ab166a0e80","cd2d3043-4c27-463b-9660-239b36fa6ab7","5d470a90-b720-4ecf-bf8b-7a96bb88d837","225f3991-cf63-4b3f-845a-2fba39f990ff","f0184742-be9e-4f76-beaf-1807f9f8f666","203ebe42-7129-40f4-8db8-0e2336e0067a","0f8b0da3-6673-4156-8b9b-d6769b2f97f4","cecabd2f-0ca4-44d6-a3aa-7fb22efa38d2","ce792ca7-d427-4098-9065-0575982b8a26","f4afda4e-26fe-404c-ad58-af3238e992f4","0bea1080-e86d-4333-88bf-83e78fd38756","e2d64e5f-536e-4a22-9b7f-11036a1376f4"],"benchmarkVersion":"4-bi-analytics-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Recommendation-prompt presenceRecommendation presence · observed Sep 23, 2026, 12:00 AM UTC8.333 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"bi-analytics-platforms-2026-07-27","runArtifactIds":["394e7418-0b4f-4f0b-924d-58f3c7804f05","db3fd851-eec1-4617-848b-c7eb6ed60a40","ac2e1218-f4bb-4342-854b-3d52eb1c968d","1f0b275b-d2e5-40ee-91cc-66edaf951010","b2a51320-600a-4053-9ef3-71f2d2c21a5d","5b177a0c-71f7-43c8-b108-5c19eec46ccc","f587e677-271b-45ab-9a88-8ee0676268b5","6ce91af1-6184-46bd-a75e-2455d914fc24","b4ff67b9-2794-4fc7-8e85-e272fb914d90","92a18a7c-3e75-4b64-aa32-ce2e46156610","7ff1d198-e153-4829-8342-5d6822cd2b72","d0263f55-0379-4e86-908e-4a8667e8c8bf","42af9a04-96a6-4455-b5b4-5579d00a2177","89481134-45ac-4081-8fe6-76c39a31f849","0d8a9948-c18d-4f3c-954e-8c761b417e7c","d6aff8a0-4d48-4994-be88-275a848ac8c8","07839359-0599-4a93-bf49-336e2733f493","313c30fa-f2bb-4e73-afba-2e5331bf5f6a","64876677-90ba-49d8-a394-3a843c5c1176","ca30d616-f1fc-4cbc-b21a-ab1827f9353d","aa70bf18-2078-4dc0-beda-a1ce4b146e26","18d2b519-473e-46b8-9365-0f804bbd40ac","70f92687-87f2-4281-9bd5-e7ef5f765366","c7ce1fa5-f1d9-4b4f-87ae-eb30302fcca4","c059a28f-5620-4938-9a42-15b18e85c929","9d13ee38-f301-4b17-b38d-d6ab465f0492","bc8bd568-7e53-4e43-9770-ab35b810f94f","d0b1bb65-e00f-4eaf-9931-9aefe005c2b4","087216a4-ebcb-4a2d-a0dc-c44247b91149","06a55a1d-fd81-4916-a6f0-242154ea91fb","9536f25a-a39a-43ee-8e3b-a2f695ceb32e","f768e577-7baf-4f22-944a-74f6194355e4","932fe5d6-1860-4eb0-86c7-669e318eb1cf","d6604535-10e6-414f-9afa-e9b6ea919697","965dd878-98df-4701-834b-326dcd3ee021","5915e4fd-ba79-4675-b2bc-1396e5165140","ec8f5eed-9fa9-40e7-8b0e-d0ab166a0e80","cd2d3043-4c27-463b-9660-239b36fa6ab7","5d470a90-b720-4ecf-bf8b-7a96bb88d837","225f3991-cf63-4b3f-845a-2fba39f990ff","f0184742-be9e-4f76-beaf-1807f9f8f666","203ebe42-7129-40f4-8db8-0e2336e0067a","0f8b0da3-6673-4156-8b9b-d6769b2f97f4","cecabd2f-0ca4-44d6-a3aa-7fb22efa38d2","ce792ca7-d427-4098-9065-0575982b8a26","f4afda4e-26fe-404c-ad58-af3238e992f4","0bea1080-e86d-4333-88bf-83e78fd38756","e2d64e5f-536e-4a22-9b7f-11036a1376f4"],"benchmarkVersion":"4-bi-analytics-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Gemini citation shareGemini brand citation share · observed Sep 23, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Gemini mention coverageGemini brand mention coverage · observed Sep 23, 2026, 12:00 AM UTC6.25 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"bi-analytics-platforms-2026-07-27","runArtifactIds":["394e7418-0b4f-4f0b-924d-58f3c7804f05","db3fd851-eec1-4617-848b-c7eb6ed60a40","ac2e1218-f4bb-4342-854b-3d52eb1c968d","1f0b275b-d2e5-40ee-91cc-66edaf951010","b2a51320-600a-4053-9ef3-71f2d2c21a5d","5b177a0c-71f7-43c8-b108-5c19eec46ccc","f587e677-271b-45ab-9a88-8ee0676268b5","6ce91af1-6184-46bd-a75e-2455d914fc24","b4ff67b9-2794-4fc7-8e85-e272fb914d90","92a18a7c-3e75-4b64-aa32-ce2e46156610","7ff1d198-e153-4829-8342-5d6822cd2b72","d0263f55-0379-4e86-908e-4a8667e8c8bf","42af9a04-96a6-4455-b5b4-5579d00a2177","89481134-45ac-4081-8fe6-76c39a31f849","0d8a9948-c18d-4f3c-954e-8c761b417e7c","d6aff8a0-4d48-4994-be88-275a848ac8c8","07839359-0599-4a93-bf49-336e2733f493","313c30fa-f2bb-4e73-afba-2e5331bf5f6a","64876677-90ba-49d8-a394-3a843c5c1176","ca30d616-f1fc-4cbc-b21a-ab1827f9353d","aa70bf18-2078-4dc0-beda-a1ce4b146e26","18d2b519-473e-46b8-9365-0f804bbd40ac","70f92687-87f2-4281-9bd5-e7ef5f765366","c7ce1fa5-f1d9-4b4f-87ae-eb30302fcca4","c059a28f-5620-4938-9a42-15b18e85c929","9d13ee38-f301-4b17-b38d-d6ab465f0492","bc8bd568-7e53-4e43-9770-ab35b810f94f","d0b1bb65-e00f-4eaf-9931-9aefe005c2b4","087216a4-ebcb-4a2d-a0dc-c44247b91149","06a55a1d-fd81-4916-a6f0-242154ea91fb","9536f25a-a39a-43ee-8e3b-a2f695ceb32e","f768e577-7baf-4f22-944a-74f6194355e4","932fe5d6-1860-4eb0-86c7-669e318eb1cf","d6604535-10e6-414f-9afa-e9b6ea919697","965dd878-98df-4701-834b-326dcd3ee021","5915e4fd-ba79-4675-b2bc-1396e5165140","ec8f5eed-9fa9-40e7-8b0e-d0ab166a0e80","cd2d3043-4c27-463b-9660-239b36fa6ab7","5d470a90-b720-4ecf-bf8b-7a96bb88d837","225f3991-cf63-4b3f-845a-2fba39f990ff","f0184742-be9e-4f76-beaf-1807f9f8f666","203ebe42-7129-40f4-8db8-0e2336e0067a","0f8b0da3-6673-4156-8b9b-d6769b2f97f4","cecabd2f-0ca4-44d6-a3aa-7fb22efa38d2","ce792ca7-d427-4098-9065-0575982b8a26","f4afda4e-26fe-404c-ad58-af3238e992f4","0bea1080-e86d-4333-88bf-83e78fd38756","e2d64e5f-536e-4a22-9b7f-11036a1376f4"],"benchmarkVersion":"4-bi-analytics-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Sep 23, 2026, 12:00 AM UTC12.5 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"bi-analytics-platforms-2026-07-27","runArtifactIds":["394e7418-0b4f-4f0b-924d-58f3c7804f05","db3fd851-eec1-4617-848b-c7eb6ed60a40","ac2e1218-f4bb-4342-854b-3d52eb1c968d","1f0b275b-d2e5-40ee-91cc-66edaf951010","b2a51320-600a-4053-9ef3-71f2d2c21a5d","5b177a0c-71f7-43c8-b108-5c19eec46ccc","f587e677-271b-45ab-9a88-8ee0676268b5","6ce91af1-6184-46bd-a75e-2455d914fc24","b4ff67b9-2794-4fc7-8e85-e272fb914d90","92a18a7c-3e75-4b64-aa32-ce2e46156610","7ff1d198-e153-4829-8342-5d6822cd2b72","d0263f55-0379-4e86-908e-4a8667e8c8bf","42af9a04-96a6-4455-b5b4-5579d00a2177","89481134-45ac-4081-8fe6-76c39a31f849","0d8a9948-c18d-4f3c-954e-8c761b417e7c","d6aff8a0-4d48-4994-be88-275a848ac8c8","07839359-0599-4a93-bf49-336e2733f493","313c30fa-f2bb-4e73-afba-2e5331bf5f6a","64876677-90ba-49d8-a394-3a843c5c1176","ca30d616-f1fc-4cbc-b21a-ab1827f9353d","aa70bf18-2078-4dc0-beda-a1ce4b146e26","18d2b519-473e-46b8-9365-0f804bbd40ac","70f92687-87f2-4281-9bd5-e7ef5f765366","c7ce1fa5-f1d9-4b4f-87ae-eb30302fcca4","c059a28f-5620-4938-9a42-15b18e85c929","9d13ee38-f301-4b17-b38d-d6ab465f0492","bc8bd568-7e53-4e43-9770-ab35b810f94f","d0b1bb65-e00f-4eaf-9931-9aefe005c2b4","087216a4-ebcb-4a2d-a0dc-c44247b91149","06a55a1d-fd81-4916-a6f0-242154ea91fb","9536f25a-a39a-43ee-8e3b-a2f695ceb32e","f768e577-7baf-4f22-944a-74f6194355e4","932fe5d6-1860-4eb0-86c7-669e318eb1cf","d6604535-10e6-414f-9afa-e9b6ea919697","965dd878-98df-4701-834b-326dcd3ee021","5915e4fd-ba79-4675-b2bc-1396e5165140","ec8f5eed-9fa9-40e7-8b0e-d0ab166a0e80","cd2d3043-4c27-463b-9660-239b36fa6ab7","5d470a90-b720-4ecf-bf8b-7a96bb88d837","225f3991-cf63-4b3f-845a-2fba39f990ff","f0184742-be9e-4f76-beaf-1807f9f8f666","203ebe42-7129-40f4-8db8-0e2336e0067a","0f8b0da3-6673-4156-8b9b-d6769b2f97f4","cecabd2f-0ca4-44d6-a3aa-7fb22efa38d2","ce792ca7-d427-4098-9065-0575982b8a26","f4afda4e-26fe-404c-ad58-af3238e992f4","0bea1080-e86d-4333-88bf-83e78fd38756","e2d64e5f-536e-4a22-9b7f-11036a1376f4"],"benchmarkVersion":"4-bi-analytics-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
OpenAI citation shareOpenAI brand citation share · observed Sep 23, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"bi-analytics-platforms-2026-07-27","runArtifactIds":["394e7418-0b4f-4f0b-924d-58f3c7804f05","db3fd851-eec1-4617-848b-c7eb6ed60a40","ac2e1218-f4bb-4342-854b-3d52eb1c968d","1f0b275b-d2e5-40ee-91cc-66edaf951010","b2a51320-600a-4053-9ef3-71f2d2c21a5d","5b177a0c-71f7-43c8-b108-5c19eec46ccc","f587e677-271b-45ab-9a88-8ee0676268b5","6ce91af1-6184-46bd-a75e-2455d914fc24","b4ff67b9-2794-4fc7-8e85-e272fb914d90","92a18a7c-3e75-4b64-aa32-ce2e46156610","7ff1d198-e153-4829-8342-5d6822cd2b72","d0263f55-0379-4e86-908e-4a8667e8c8bf","42af9a04-96a6-4455-b5b4-5579d00a2177","89481134-45ac-4081-8fe6-76c39a31f849","0d8a9948-c18d-4f3c-954e-8c761b417e7c","d6aff8a0-4d48-4994-be88-275a848ac8c8","07839359-0599-4a93-bf49-336e2733f493","313c30fa-f2bb-4e73-afba-2e5331bf5f6a","64876677-90ba-49d8-a394-3a843c5c1176","ca30d616-f1fc-4cbc-b21a-ab1827f9353d","aa70bf18-2078-4dc0-beda-a1ce4b146e26","18d2b519-473e-46b8-9365-0f804bbd40ac","70f92687-87f2-4281-9bd5-e7ef5f765366","c7ce1fa5-f1d9-4b4f-87ae-eb30302fcca4","c059a28f-5620-4938-9a42-15b18e85c929","9d13ee38-f301-4b17-b38d-d6ab465f0492","bc8bd568-7e53-4e43-9770-ab35b810f94f","d0b1bb65-e00f-4eaf-9931-9aefe005c2b4","087216a4-ebcb-4a2d-a0dc-c44247b91149","06a55a1d-fd81-4916-a6f0-242154ea91fb","9536f25a-a39a-43ee-8e3b-a2f695ceb32e","f768e577-7baf-4f22-944a-74f6194355e4","932fe5d6-1860-4eb0-86c7-669e318eb1cf","d6604535-10e6-414f-9afa-e9b6ea919697","965dd878-98df-4701-834b-326dcd3ee021","5915e4fd-ba79-4675-b2bc-1396e5165140","ec8f5eed-9fa9-40e7-8b0e-d0ab166a0e80","cd2d3043-4c27-463b-9660-239b36fa6ab7","5d470a90-b720-4ecf-bf8b-7a96bb88d837","225f3991-cf63-4b3f-845a-2fba39f990ff","f0184742-be9e-4f76-beaf-1807f9f8f666","203ebe42-7129-40f4-8db8-0e2336e0067a","0f8b0da3-6673-4156-8b9b-d6769b2f97f4","cecabd2f-0ca4-44d6-a3aa-7fb22efa38d2","ce792ca7-d427-4098-9065-0575982b8a26","f4afda4e-26fe-404c-ad58-af3238e992f4","0bea1080-e86d-4333-88bf-83e78fd38756","e2d64e5f-536e-4a22-9b7f-11036a1376f4"],"benchmarkVersion":"4-bi-analytics-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
OpenAI mention coverageOpenAI brand mention coverage · observed Sep 23, 2026, 12:00 AM UTC6.25 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Sep 23, 2026, 12:00 AM UTC12.5 percent100% confidence
- Source
- Rank.ai BI & Analytics Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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More in BI & analytics
Business intelligence, governed analytics, and embedded analytics platforms ranked across a fixed buying corpus.
Reviewed vendors ranked by the share of all the category's answers that name or cite them.
Reviewed vendors ranked by their share of the citations that point to vendor websites.
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.