GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index GTM data and infrastructure September 2026 Edition

Dashboards and data visualization

Asked as “business intelligence and dashboard tool”, and as “data visualization platform”, on behalf of a mid-market B2B software company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Clear leader
62% of first choices, clear leader.

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Microsoft Power BI62%8%62endorsed leader
02Looker Studio14%22%23accepted challenger
03Metabase10%0%32accepted challenger
04Tableau6%22%55accepted challenger
05ThoughtSpot2%8%26accepted challenger
06Zoho Analytics2%6%18accepted challenger
07Qlik Sense2%16%25accepted challenger
Show the six products at 0%, ordered by negative rate
13Domo0%33%30criticized challenger
08Looker0%24%49accepted challenger
10Sisense0%18%22accepted challenger
09Sigma0%6%18accepted challenger
11Apache Superset0%0%10accepted challenger
12Qlik0%0%10accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

One product takes 62% of first choices here, so the chart would put twelve markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. One product carries a negative rate above 25% in this category. Jump to the standing

02What they warned about

A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Tableau
22%
12 of 55 labels negative · 10 of 6 models · 1 hard negative
“Tools to Avoid on a Budget- **Tableau** — $75/user/month for creators; minimums are onerous” DeepSeek V4 Flash, budget prompt
Domo
33%
10 of 30 labels negative · 7 of 6 models · 1 hard negative
“**Domo** — ~$50K/year minimum” DeepSeek V4 Flash, budget prompt
Looker
24%
12 of 49 labels negative · 7 of 6 models · 1 hard negative
“**Looker** — ~$5,000+/month minimum” DeepSeek V4 Flash, budget prompt
Looker Studio
22%
5 of 23 labels negative · 5 of 6 models · 1 hard negative
“**Avoid for complex relational data modeling.**” Gemini 3.5 Flash, negative prompt

03What they cite

Citations exist only for the models that return a source list: four of the six in this edition.

Sites the answers cite

19 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 153 links across 78 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.

6 answers · 10 citations · 1 model
vendor site · Domo6 answers · 7 citations · 2 models
vendor site · Qlik6 answers · 7 citations · 3 models
vendor site · OvalEdge5 answers · 7 citations · 2 models
vendor site · Holistics4 answers · 4 citations · 2 models
4 answers · 4 citations · 2 models
vendor site · ThoughtSpot4 answers · 4 citations · 2 models
vendor site · Zapier4 answers · 4 citations · 1 model
vendor site · Gartner3 answers · 4 citations · 1 model
vendor site · Improvado3 answers · 4 citations · 1 model
vendor site · Microsoft3 answers · 4 citations · 2 models
3 answers · 3 citations · 2 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best business intelligence and dashboard tool for a mid-market B2B company?”Paraphrase“Which data visualization platform would you recommend to a mid-sized B2B company?”Comparative“What are the top business intelligence tools and how do they differ?”Budget-constrained“What is the best business intelligence and dashboard tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a business intelligence and dashboard tool. What should we look at?”Negative“Which business intelligence tools should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
Google read as Looker Studio
Unresolved, counted raw
Amazon Quick Sight
BIRT
Birst
Classic SAP BW (Business Warehouse)
Domo Everywhere Starter
Evidence
Hex Community
JasperReports
Microsoft Excel & Google Sheets
Microsoft SSRS (SQL Server Reporting Services)
Oracle
Oracle Analytics Cloud
Oracle BI Enterprise Edition (OBIEE 12c)
Oracle OBIEE
SAP BusinessObjects BI (BO)
Skopx
Visor
Yellowfin
Discontinued, still offered
No shut-down product was recommended here.
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