Five AI Engines, One Question About Analytics: Here's Where They Agree (And Where It Gets Weird)

Published September 1, 2026 · Research by avisibli

We asked five major AI engines the same question: which analytics platforms do AI engines talk about most? It's a delightfully recursive query — asking AI what AI talks about — and the results reveal as much about each engine's worldview as they do about the analytics market itself. Tableau and Power BI showed up everywhere. PostgreSQL showed up exactly once. And Gemini went so deep into the data stack that it almost forgot the question.

The Consensus Picks: What Every Engine Agrees On

Three platforms achieved the rarest of distinctions: unanimous mention across all five engines. These aren't just popular — they're inescapable.

• Tableau — The veteran that refuses to be disrupted. Every single engine cited it, from ChatGPT's nostalgia-tinged 2023 list to DeepSeek's sharp analysis of Tableau Pulse as an AI-driven product pivot.
• Microsoft Power BI — Copilot integration has clearly done its job. All five engines mentioned Power BI, with DeepSeek and Perplexity specifically flagging its natural-language and text-to-SQL capabilities as the reason for its dominance in AI discourse.
• Looker (Google Cloud) — The Google ecosystem advantage is real. Every engine included Looker, with DeepSeek making the most interesting case: LookML's semantic modeling layer is apparently catnip for AI models trying to understand business logic.

The Full Comparison Matrix

Which engine mentioned which platform? Here's the complete picture. A ✓ means the engine explicitly recommended or discussed the platform.