BI platform presence

As of

All 12 companies by mention coverage

Microsoft Power BI leads at 41.7%; the middle of the board sits at 13.5%.

Ahead of second place: 0%
Held by the top three: 56%
Middle of the board: 13.5%
Below half the leader: 8 of 12

Rank, name and mention coverageMiddle 13.5%

1Microsoft Power BI41.7%
2Tableau41.7%
3Domo39.6%
4Google Looker33.3%
5Qlik Cloud Analytics20.8%
6ThoughtSpot14.6%
7Sisense12.5%
8Sigma Computing6.3%
9Metabase4.2%
10Amazon QuickSight2.1%
11IBM Cognos Analytics2.1%
12SAP Analytics Cloud2.1%

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 · chatgpt cites it: 0 on 7 of 12 rows · 48 checks behind each row.

BI and Analytics brand visibility current rankings
Rank	Name	Mention coverage	Share of names	Cited as source	ChatGPT recommends	Change	Why
01	Microsoft Power BI	41.7%	18.87% · 20 / 106	20% · 6 / 30	75% · 6 / 8		This rank My rank
02	Tableau	41.7%	18.87% · 20 / 106	10% · 3 / 30	75% · 6 / 8	2	This rank My rank
03	Domo	39.6%	17.92% · 19 / 106	53.33% · 16 / 30	75% · 6 / 8		This rank My rank
04	Google Looker	33.3%	15.09% · 16 / 106	0% · 0 / 30	87.5% · 7 / 8	2	Showing My rank
05	Qlik Cloud Analytics	20.8%	9.43% · 10 / 106	3.33% · 1 / 30	37.5% · 3 / 8		This rank My rank
06	ThoughtSpot	14.6%	6.6% · 7 / 106	6.67% · 2 / 30	12.5% · 1 / 8		This rank My rank
07	Sisense	12.5%	5.66% · 6 / 106	3.33% · 1 / 30	25% · 2 / 8		This rank My rank
08	Sigma Computing	6.3%	2.83% · 3 / 106	3.33% · 1 / 30	25% · 2 / 8	1	This rank My rank
09	Metabase	4.2%	1.89% · 2 / 106	0% · 0 / 30	12.5% · 1 / 8	1	This rank My rank
10	Amazon QuickSight	2.1%	0.94% · 1 / 106	0% · 0 / 30	0% · 0 / 8	2	This rank My rank
11	IBM Cognos Analytics	2.1%	0.94% · 1 / 106	0% · 0 / 30	0% · 0 / 8		This rank My rank
12	SAP Analytics Cloud	2.1%	0.94% · 1 / 106	0% · 0 / 30	0% · 0 / 8	2	This rank My rank

engines: 2 on 9 of 12 rows · chatgpt cites it: 0 on 7 of 12 rows · 48 checks behind each row.

BI and Analytics brand visibility current rankings
Rank	Name	Mention coverage	Share of names	Cited as source	ChatGPT recommends	Change	Why
01	Microsoft Power BI	41.7%	18.87% · 20 / 106	20% · 6 / 30	75% · 6 / 8		This rank My rank
02	Tableau	41.7%	18.87% · 20 / 106	10% · 3 / 30	75% · 6 / 8	2	This rank My rank
03	Domo	39.6%	17.92% · 19 / 106	53.33% · 16 / 30	75% · 6 / 8		This rank My rank
04	Google Looker	33.3%	15.09% · 16 / 106	0% · 0 / 30	87.5% · 7 / 8	2	Showing My rank
05	Qlik Cloud Analytics	20.8%	9.43% · 10 / 106	3.33% · 1 / 30	37.5% · 3 / 8		This rank My rank
06	ThoughtSpot	14.6%	6.6% · 7 / 106	6.67% · 2 / 30	12.5% · 1 / 8		This rank My rank
07	Sisense	12.5%	5.66% · 6 / 106	3.33% · 1 / 30	25% · 2 / 8		This rank My rank
08	Sigma Computing	6.3%	2.83% · 3 / 106	3.33% · 1 / 30	25% · 2 / 8	1	This rank My rank
09	Metabase	4.2%	1.89% · 2 / 106	0% · 0 / 30	12.5% · 1 / 8	1	This rank My rank
10	Amazon QuickSight	2.1%	0.94% · 1 / 106	0% · 0 / 30	0% · 0 / 8	2	This rank My rank
11	IBM Cognos Analytics	2.1%	0.94% · 1 / 106	0% · 0 / 30	0% · 0 / 8		This rank My rank
12	SAP Analytics Cloud	2.1%	0.94% · 1 / 106	0% · 0 / 30	0% · 0 / 8	2	This rank My rank

Primary brandQuestion typeModel APIQuestion contains

Run a question live

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

The compared brands across the filtered answers
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

Compared brands named in each answer, by question and model API
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`

Sites cited in the filtered answers
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

Primary brandQuestion typeModel APIQuestion contains

Run a question live

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

The compared brands across the filtered answers
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

Compared brands named in each answer, by question and model API
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`

Sites cited in the filtered answers
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

Ranks a reviewed BI & Analytics brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.

4

Rank on this board

33.333 percent

Score

48

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 Google Looker's score
Component	Value	Contribution
Mention coverage	33.333333	33.333

Moved down since the previous snapshot

-2 places

Gemini brand recommendation presence62.5 to 37.5
-25
Anthropic brand mention coverage12.5 to 0
-12.5
Anthropic brand recommendation presence12.5 to 0
-12.5
Recommendation presence54.167 to 41.667
-12.5
Gemini brand mention coverage43.75 to 31.25
-12.5
Mention coverage41.667 to 33.333
-8.333
Citation share7.692 to 0
-7.692
OpenAI brand citation share7.692 to 0
-7.692
Mention share17.544 to 15.094
-2.45
Engine breadth3 to 2
-1
Gemini brand citation share0 to 0
0
OpenAI brand mention coverage68.75 to 68.75
0
OpenAI brand recommendation presence87.5 to 87.5
0

Where each number comes from

13 public records

Anthropic 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
{"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"}
Open the source
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
{"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"}
Open the source
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
{"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"}
Open the source
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"}
Open the source
Mention coverageMention coverage · observed Sep 23, 2026, 12:00 AM UTC33.333 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"}
Open the source
Reviewed-brand presence shareMention share · observed Sep 23, 2026, 12:00 AM UTC15.094 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"}
Open the source
Recommendation-prompt presenceRecommendation presence · observed Sep 23, 2026, 12:00 AM UTC41.667 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"}
Open the source
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
{"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"}
Open the source
Gemini mention coverageGemini brand mention coverage · observed Sep 23, 2026, 12:00 AM UTC31.25 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"}
Open the source
Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Sep 23, 2026, 12:00 AM UTC37.5 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"}
Open the source
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"}
Open the source
OpenAI mention coverageOpenAI brand mention coverage · observed Sep 23, 2026, 12:00 AM UTC68.75 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"}
Open the source
OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Sep 23, 2026, 12:00 AM UTC87.5 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"}
Open the source

Cite this data

Free to use with attribution. Copy a citation, or link to this page: it keeps its address when the board updates.

Plain textBI and Analytics brand visibility. Rank.ai, data as of September 23, 2026. https://www.rank.ai/rankings/bi-analytics/bi-analytics-platforms-brand-visibility
HTML<a href="https://www.rank.ai/rankings/bi-analytics/bi-analytics-platforms-brand-visibility">BI and Analytics brand visibility</a>, Rank.ai, data as of September 23, 2026
Markdown[BI and Analytics brand visibility](https://www.rank.ai/rankings/bi-analytics/bi-analytics-platforms-brand-visibility), Rank.ai, data as of September 23, 2026
APARank.ai. (2026). BI and Analytics brand visibility. Retrieved October 23, 2026, from https://www.rank.ai/rankings/bi-analytics/bi-analytics-platforms-brand-visibility

Embed this table

Paste this on your site. It shows the latest published snapshot, and the credit line links readers to the full ranking.

<iframe src="https://www.rank.ai/embed/boards/bi-analytics-platforms-brand-visibility" title="BI and Analytics brand visibility" width="100%" height="420" loading="lazy" style="border:1px solid #111;max-width:720px"></iframe>
<p style="font-size:12px">Source: <a href="https://www.rank.ai/rankings/bi-analytics/bi-analytics-platforms-brand-visibility">BI and Analytics brand visibility</a> by Rank.ai</p>

More in BI & analytics

Business intelligence, governed analytics, and embedded analytics platforms ranked across a fixed buying corpus.

3 boards

BI & analytics platform rank

Reviewed analytics platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.

1Domo250%
2Microsoft Power BI145.8%
3Tableau145.8%

BI platform citation share

Reviewed vendors ranked by their share of the citations that point to vendor websites.

1Domo53.3%
2Microsoft Power BI20%
3Tableau610%

BI platform engine breadth

Reviewed vendors ranked by how many of the three model APIs name or cite them.

1Domo22 engines
2Microsoft Power BI12 engines
3Tableau12 engines

BI & analytics platform rank

Reviewed analytics platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.

BI platform citation share

Reviewed vendors ranked by their share of the citations that point to vendor websites.

BI platform engine breadth

Reviewed vendors ranked by how many of the three model APIs name or cite them.

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.

BI and Analytics brand visibility

All 12 companies by mention coverage

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

Google Looker on BI & Analytics Brand Visibility

What the score is built from

Moved down since the previous snapshot

Where each number comes from

More in BI & analytics

See how often AI names you.

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite