| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Dashboards and data visualization | GTM data and infrastructure | 52% | 1 of 52 | 17% | 71 | endorsed leader | ▼−11Since September 2026: 62% → 51%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 23 of 142 | 0% | 7 | under 10 labels · led by Amplitude at 18% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data warehouse and reverse ETL for marketing | GTM data and infrastructure | 0% | 25 of 83 | 0% | 4 | under 10 labels · led by Hightouch at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data management platforms | GTM data and infrastructure | 0% | 58 of 159 | 0% | 2 | under 10 labels · led by Segment at 37% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Web analytics | GTM data and infrastructure | 0% | 63 of 91 | 0% | 1 | under 10 labels · led by Google Analytics 4 at 57% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| BI & dashboards | 62% | 51% | ▼−11Since September 2026: 62% → 51%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 of 52, unchanged |
| Customer intel | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 14 → 23 of 142 |
| Warehouse & ETL | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 95 → 25 of 83 |
| DMP | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 109 → 58 of 159 |
| Web analytics | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 63 of 91, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 1 | 2 | 1 | 6 |
| GPT-5.4 mini | 3 | 1 | 1 | 0 | 5 |
| Gemini 3.5 Flash | 2 | 3 | 0 | 1 | 6 |
| Perplexity Sonar | 2 | 2 | 0 | 1 | 5 |
| Grok 4.20 | 3 | 1 | 1 | 1 | 6 |
| Mistral Small | 1 | 2 | 2 | 1 | 6 |
| DeepSeek V4 Flash | 4 | 2 | 2 | 0 | 8 |
| Llama 4 Maverick | 0 | 1 | 3 | 1 | 5 |
| Qwen 3.7 Flash | 3 | 3 | 1 | 1 | 8 |
| Kimi K2 | 2 | 2 | 1 | 1 | 6 |
| GLM 4.7 FlashX | 3 | 2 | 1 | 2 | 8 |
| MiniMax M2.5 | 2 | 2 | 0 | 0 | 4 |
| GPT-6 Luna | 2 | 1 | 2 | 0 | 5 |
| Muse Glimmer 30B | 3 | 1 | 1 | 2 | 7 |
Verbatim evidence the judge attached to positive labels.
“Microsoft Shop? ... $\rightarrow$ Power BI. It integrates natively, has deep Excel integration ... usually the cheapest option” Qwen 3.7 Flash · BI & dashboards · scale prompt · first choice
“Microsoft Power BI — *Best Overall Value* ... Start with Power BI if you're cost-conscious and in the Microsoft ecosystem” Kimi K2 · BI & dashboards · direct prompt · first choice
“Power BI is almost always the default recommendation. It is widely considered the industry standard for mid-market companies” Gemini 3.5 Flash · BI & dashboards · paraphrase prompt · first choice
“For most mid-market B2B companies, Power BI offers the best balance of cost, functionality, and integration capabilities” MiniMax M2.5 · BI & dashboards · direct prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Dataset limits and performance: Pro tier caps at 1GB, slows on large data/DAX queries... When to avoid: Non-Microsoft stacks, massive datasets” Grok 4.20 · BI & dashboards · negative prompt · soft negative
“If you are outside the Microsoft ecosystem, need platform-agnostic deployment, or don't want to invest in DAX and premium-capacity administration.” Perplexity Sonar · BI & dashboards · negative prompt · soft negative
“Why to be cautious: Power BI is incredibly powerful and cost-effective, but mostly if you are already in a Microsoft/Azure environment.” Gemini 3.5 Flash · BI & dashboards · negative prompt · soft negative
“Price-to-performance leader in Microsoft stacks, but “Tiering gets complex” and Fabric capacity starts from ~$5,000/mo” Muse Glimmer 30B · BI & dashboards · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 242 of the 266 answers that named Microsoft Power BI and are not a share of its labels.
453 of the 453 domain citations in answers naming Microsoft Power BI came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
What Microsoft Power BI's own pages state, read September 28, 2026: clarity.microsoft.com/demo/projects/view/3t0wlogvdz/dashboard, microsoft.com/en-us/windows/business/knowledge-center/ai-for-decision-making, microsoft.com/en-us/windows/business/knowledge-center/be-decision-ready-with-ai-business-intelligence. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Microsoft Power BI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Microsoft Power BI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Microsoft Power BI by email, built from the raw record of the edition. It shows:
AI models recommend Microsoft Power BI first in Dashboards and data visualization this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.