When buyers ask ChatGPT, Claude, and Gemini about bi & data analytics, Lightdash ranks #7 of 15, a Visibility Score of 13 in BI & Data Analytics .
These rankings are measured from what the three models know from training, not a live web search. The live-web grounded surface is rolling out across the index. Methodology.
One race, mid-pack, and the AI models barely notice it.
Where it wins. Lightdash earns a foothold in BI and Data Analytics through startup and small-team queries, where its 19% mention rate keeps it on the board at rank 7 of 15.
Where it loses. It scores zero first picks and disappears from every evaluative prompt theme that matters for purchase decisions, including best-overall and enterprise conversations, leaving it perpetually alongside Metabase and Looker but never ahead of them.
AI-generated analysis of the September 2026 measurements.
Lightdash claims BI & Data Analytics and the models back it: #6 of 15 there.
Homepage self-messaging · September 2026 ranking · the biggest gaps across the index →
Being named is not the same as being recommended. Each mention is graded endorsed (a strong pick), listed (a neutral option), or caveated (named with a reservation).
Share of each theme's answers that mention Lightdash. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Best overall · Top tools in 2026 · Enterprise pick · Feature-led ask · If you could pick one
Share of Lightdash's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
Scores are measured from real AI answers, refreshed monthly. Methodology.
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