When buyers ask ChatGPT, Claude, and Gemini about bi & data analytics, Qlik ranks #11 of 15, a Visibility Score of 12 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.
Qlik is a long-tail name in a crowded BI race.
Where it wins. An 18% mention rate keeps Qlik in the conversation across BI and Data Analytics queries, and the 'Enterprise pick' theme suggests models at least frame it as a credible choice for larger organizations.
Where it loses. Ranked 11th of 15 and carrying a score of 11.7, Qlik draws zero first-pick selections, and models skip it entirely when buyers ask about use-case fit, smaller teams, or budget alternatives, which are the prompts that convert consideration into recommendation.
AI-generated analysis of the September 2026 measurements.
Qlik's homepage sells it as Data Integration & ETL. Ask the models that question and they name Fivetran, Airbyte and Informatica, not Qlik.
"delivers a data fabric and next-level insights with its end-to-end data integration, data quality, & analytics solutions"
Why, and what closes it. Models recommend what the web says about a brand, not what its homepage asserts. That is a content and coverage gap, not a product one. Earned mentions and clearer positioning can move it.
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 Qlik. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Use-case fit · Startup & small team · Budget & alternatives
Share of Qlik'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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