Data as of Aug 25, 2026 · Based on 1,005 AI responses · See how Parse measures this
Statistical Analysis & Data Tools
Parse
https://parse.gl
R Project for Statistical Computing leads, named in 73% of answers, ahead of at 60% and at 59%.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Dominant for statistical depth, academic research, and advanced visualization. | 73% | |
| 2 | 60% | ||
| 3 | Praised for automation, versatility, and machine learning integration. | 59% | |
| 4 | Framed as a legacy enterprise tool for large-scale, regulated environments. | 44% | |
| 5 | 40% | ||
| 6 | A top choice for policy and economic analysis, particularly for econometrics. | 33% | |
| 7 | Cited primarily for | 29% | |
| 8 | 23% | ||
| 9 | 20% | ||
| 10 | 15% | ||
| 11 | 15% | ||
| 12 | 13% | ||
| 13 | A key collection of R packages favored for data manipulation and cleaning. | 12% | |
| 14 | 12% | ||
| 15 | 12% | ||
| 16 | 9% | ||
| 17 | 8% | ||
| 18 | 8% | ||
| 19 | 7% | ||
| 20 | 7% | ||
| 21 | 6% | ||
| 22 | 5% | ||
| 23 | 5% | ||
| 24 | 5% | ||
| 25 | 5% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
reddit.com is the page AI reaches for most here, cited in 46% of analyzed answers.
Slipped from rank #6 to #12 between Nov 2025 and Mar 2026.
Moved from rank #5 to #3 between Nov 2025 and Mar 2026.
Rose from rank #11 to #7 from Nov 2025 to Mar 2026.
“A noteworthy package for marketing mix modeling in R.” → “The top open-source choice for MMM, automating key modeling steps.”
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 70% | 68% | ||
| 63% | 47% | ||
| 55% | 50% | ||
| 39% | 32% | ||
| 37% | 32% |
The two models disagree most about Rstudio (ChatGPT #21, Google #10).
Across 1,005 AI responses, R Project for Statistical Computing is mentioned most, named in 73% of them, followed by IBM (60%) and Python (59%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,005 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Responses consistently recommend both R and Python for marketing analysts. Since December 2025, recommendations have become more specific, citing open-source packages like Meta's
Robyn for R and Google's LightweightMMM for
Python to handle marketing mix modeling.
Brands mentioned
The primary comparison in responses is between IBM SPSS and R. AI models consistently frame SPSS as user-friendly and GUI-based, ideal for beginners, while R is positioned as more powerful, flexible, and better for reproducible, code-based research.
Brands mentioned
What's the best statistical analysis software for a Researcher? SPSS vs. R?
The primary comparison in responses is between IBM SPSS and R. AI models consistently frame SPSS as user-friendly and GUI-based, ideal for beginners, while R is positioned as more powerful, flexible, and better for reproducible, code-based research.