Microsoft Power BI was named in 5 of the 6 buyer questions we put to ChatGPT and Gemini about data visualization tools. We ran the measurement on 2026-08-03: six questions a buyer would actually type, one live web search per answer, every product named and every source domain recorded. Power BI led on frequency, and nothing else came close.
Two tools tied for second at 4 of 6 answers: Datawrapper and Tableau. Three more landed 3 of 6: Google Charts, Looker Studio, and Zoho Analytics. That is the whole group that showed up in at least half of the answers. Six tools carried the category, and everyone else was a minority opinion.
The six answers named 26 distinct product names in total, and only 6 of those 26 were named in three or more answers. The other 20 came up once or twice, and 15 of them appeared in just one of the six questions. Most of the "recommended" tools here are a single answer's opinion, not a pattern.
How the shortlist changed when we added one word
The most useful thing in this data is what happened to the shortlist when the question changed by one qualifier. The core three (Microsoft Power BI at 5 of 6, Tableau and Datawrapper at 4 of 6) anchored the general questions, but the moment we asked for "free" or "affordable," the list reshuffled and different names walked in.
The "best free data visualization tools" answer brought in four names that appeared in no other question: Open Refine, Chartbuilder, ColorBrewer, and TimelineJS, each named in 1 of 6 answers and only on the free query. Tableau changed shape here too: the paid "Tableau" dropped out and "Tableau Public," its free tier, took its place, showing up in 2 of 6 answers and only on the free and affordable questions.
The "most affordable data visualization tools" answer surfaced its own trio that appeared nowhere else: Metabase, Databox, and DataHero, each named in 1 of 6 answers. Zoho Analytics, at 3 of 6 overall, did most of its work on the affordable and recommendation questions rather than the plain "best" one.
Even the bare "best data visualization tools" question had names unique to it: Google Data Studio, Databricks AI/BI, and RAWGraphs each showed up in that one answer and nowhere else, 1 of 6 apiece. The "what data visualization tools should I use" answer was the only place Google Docs and Google Sheets appeared (1 of 6 each), and "data visualization tools recommendations" was the only answer to name Domo and Klipfolio (1 of 6 each). So a buyer who types "best," one who types "free," and one who types "affordable" leaves with three overlapping but genuinely different shortlists, from the same two assistants on the same day.
Where the answers came from
Every answer leaned on the same starting point: reddit.com was a source in 6 of 6 answers. Nothing else of its kind came close. quora.com fed 4 of 6. Two community Q&A sites shaped the majority of what ChatGPT and Gemini said about this category.
Behind the community threads sat roundups and guides, not vendors. toptal.com and a Berkeley library guide (guides.lib.berkeley.edu) each fed 3 of 6 answers. forbes.com, improvado.io, learn.g2.com, and reportingninja.com each fed 2 of 6. That is the backbone: Reddit and Quora on top, a short stack of roundup and library pages behind them.
On the review directories buyers assume run these lists: G2 did appear, but only as its blog content at learn.g2.com, in 2 of 6 answers, not its product-listing pages. Capterra did not appear once. In this category a G2 or Capterra profile was not what put a tool in front of the AI. Reddit was.
One vendor domain earned the mention outright. databricks.com fed the "best data visualization tools" answer, and Databricks AI/BI was named in that same answer, the cleanest case in this data of a company's own page putting its own product into an AI recommendation. The counter-example is just as instructive: domo.com fed the "small teams" answer, but that answer named competitors like Looker Studio and Datawrapper, not Domo. A vendor page can feed an answer and still not win the mention.
What a vendor in this category would actually do
If you sell a data visualization tool, this measurement is a to-do list, and it is not "get more market share." The tools that got named are the tools present in these exact sources. Power BI (5 of 6), Tableau and Datawrapper (4 of 6) did not win because they are the biggest, they won because they are all over the Reddit threads, Quora answers, and Toptal and library roundups that ChatGPT and Gemini pulled that day.
The practical read: the source list, not your revenue, decides who gets named. Showing up in the right Reddit threads (a source in 6 of 6 answers) and in the roundups that rank for these queries did more for a tool's odds than any directory badge. Databricks showed the direct version, its own page feeding an answer that named its product (1 of 6). The distance between being named in 5 of 6 answers and 0 of 6 is a presence gap you can measure and close, not a fixed fact about company size.
The full list, counted
| Product | Named in | Share |
|---|---|---|
| Microsoft Power BI | 5 of 6 | 83% |
| Datawrapper | 4 of 6 | 67% |
| Tableau | 4 of 6 | 67% |
| Google Charts | 3 of 6 | 50% |
| Looker Studio | 3 of 6 | 50% |
| Zoho Analytics | 3 of 6 | 50% |
| Infogr.am | 2 of 6 | 33% |
| Looker | 2 of 6 | 33% |
| Microsoft Excel | 2 of 6 | 33% |
| Qlik Sense | 2 of 6 | 33% |
| Tableau Public | 2 of 6 | 33% |
Two notes on the labels above. Microsoft Power BI (5 of 6) also turned up once more under the bare name "Power BI" (1 of 6) in the "what should I use" answer. Treat them as one tool and the brand touched all six answers, but the measurement logged them separately, so we keep them apart rather than print a 6 the raw data never recorded. Google's dashboard tool split the same way: it was named "Looker Studio" in 3 of 6 answers and once under its old name "Google Data Studio" (1 of 6), while the separate enterprise product "Looker" earned its own 2 of 6.
Glotier does not sell a data visualization tool, so we are correctly absent from all six of these answers. That is rather the point. We ran this the same way we run it for a customer's own category: put the buyer questions to the assistants, then record who gets named and which pages fed the answer. If you sell in this space, the same check is free, takes about a minute, and needs no account, and it would show you your own "named in X of 6" number plus the exact sources you would need to appear in to move it.