Natural-language query, explained
Natural-language query in Analytify: ask questions in plain English and get governed dashboards, SQL, and written answers on a trusted semantic layer.
What natural-language query means for your team
Natural-language query is core to how Analytify works — an AI analyst on top of governed data your whole team can use.
Ask in plain English
Type a business question; get the chart, the SQL, and a written explanation.
Governed & trusted
Answers are grounded in a central semantic layer, not guesses.
Embed anywhere
Put governed analytics inside your product, multi-tenant and white-labeled.
Frequently asked questions
What is natural-language query?+
How does Analytify do natural-language query?+
Is it accurate?+
Can I embed or self-host it?+
See natural-language query in action
Book a 15-minute walkthrough on your data, then talk architecture and pricing.
Natural-Language Query (NLQ) for analytics
By the Analytify BI team · Last updated August 2026
NLQ turns a plain-language question into a governed query, chart and answer, with no SQL or drag-and-drop required.
It opens data to everyone, but naive NLQ against raw tables is unreliable; grounding in defined metrics is what makes it trustworthy.
What to evaluate
- A governed semantic layer behind the NLQ
- Visible SQL for auditability
- Handling of ambiguous questions
- Access control on every query
How Analytify approaches it
Analytify GenieAIQ runs NLQ on a governed semantic layer and shows the SQL, so results are both accessible and auditable.
Because Analytify runs on a governed semantic layer and ships as both managed cloud and a free, self-hostable Community Edition, you get plain-English AI analysis, native white-label embedding with row-level security, and per-user pricing with unlimited embedded viewers, without giving up governance or control.
FAQ
What is NLQ?
Natural-language query, asking data questions in plain English and getting a governed answer back.
Why do some NLQ tools give wrong answers?
Because they guess at raw schemas. Grounding in a governed semantic layer fixes that.
How does Analytify handle it?
Analytify GenieAIQ runs NLQ on a governed semantic layer and shows the SQL, so results are both accessible and auditable.