Your AI data analyst just told you: “Retention is down 12%.” But how do you know if that’s true? Can you trust AI answers without citations?
Most AI chatbots generate numbers fast — but without trust, they’re useless. Zoë, the AI data analyst from Zenlytic, changes that with Citations. Every metric and summary Zoë produces is backed by real data sources, giving teams full transparency, explainability, and confidence in every insight.
Finally, an AI you can trust.
What Citations Does
Citations are inline on the answer itself — a dashed underline that surfaces a popover on hover showing exactly which query was run, which view it pulled from, and which filters were applied. No separate audit trail to hunt down. No SQL to decipher. Just clear, immediate proof that the number is right.
Trust Every Number
Make decisions with confidence, knowing exactly where each metric and calculation comes from. No more second-guessing if that 12% retention drop is accurate.
Verify in Seconds
Check Zoë’s work effortlessly with transparent source references. Instead of working through a 500-line SQL statement, take a quick scan of clear citations.
Share with Confidence
Present AI-generated insights to other stakeholders, knowing you can back up every claim. Citations provide the evidence to support recommendations and drive action.
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Why This Matters
The promise of AI analytics has always run up against one hard problem: how do you know when to trust it? A number that can’t be verified is a liability, not an asset. Teams have been burned by hallucinated figures, silently stale caches, and metrics that mean different things to different people.
Citations solve the verification problem at the point of answer — not after the fact. When your CFO asks “where does this come from?” you don’t need to go back to your data team. The evidence is right there, in the response, one hover away.
This is what it means for AI analytics to be production-ready. Not just fast. Not just natural-language. Verifiable.
Part of a Broader Foundation
Citations work in concert with the Clarity Engine — Zenlytic’s semantic layer that maps every AI-generated SQL query back to governed, defined metrics. Together, they form a system where Zoë can answer any question and prove her work, every time.
Combined with Memories, which locks in consistent definitions across your team, Citations closes the loop on trust: consistent inputs, verifiable outputs.
What Teams Are Saying
“Zoë doesn’t just give answers, it walks you through the logic. It caught a gap between our forecasts and actual demand that could’ve cost us $15K a month, and helped us fix it before we went out of stock.”
“Before Zoë, understanding forecast changes took hours or days and multiple tools. Now demand planners can see what changed, when, and why — all in one place.”
“Having Zoe has been such a huge help. I can type what I need without worrying about that usual learning curve that comes with data tools. Honestly, I start about 80% of my queries with Zoe now.”