Every number in an Askalytics insight comes from a query against your own data. Each one traces back to the exact query that produced it, so you can see the receipt behind the answer. A figure without a source is flagged, not hidden.
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Askalytics runs your insights on Claude, a leading AI model from Anthropic. The AI reasons over your private data warehouse, which is refreshed every night from your connected sources, and runs the queries it needs to answer your question. The difference from typical AI analytics is what happens to every number it reports. Each figure is produced by a real query against your own data, and the query is recorded. So every number carries a query receipt you can open and read, and a figure without one is flagged. That receipt is the foundation of two trust layers we build on top.
Most AI analytics tools give you an answer and ask you to take it on faith. We give you the receipts, then a second opinion.
Every number in an insight is generated by a query against your own data, and that query is logged alongside the figures it returned. We surface this to you as the Advanced Breakdown: a one-tap reveal of the exact queries the AI ran and the numbers each one returned. It is deterministic, not generated, so nothing in the breakdown can drift from what your data actually says. If a figure appears in your insight, it appears in the breakdown with the query that produced it, or it is flagged.
After the first AI writes your insight, a second AI from the opposite provider re-reads the same evidence and flags anything it cannot support. Claude writes and ChatGPT audits, so two rival models with different blind spots look at the same work. This is the Confidence Check, and it runs on every AI Insight, including the ones in your weekly email.
Provenance proves a number came from your data. The Confidence Check judges whether the AI read that data correctly. Together they cover the two ways an AI answer can go wrong: making up a figure, or misreading a real one. That is the difference between a tool you trust and a tool you double-check. We cover the cross-provider audit in depth on the Confidence Check page.
Most AI analytics tools let an LLM answer with no record of where the numbers came from. That's where unverifiable answers come from.
Most AI analytics tools hand the model your data and let it write a summary. You get a confident paragraph and no way to check it. Did it read the right table? Did it apply the right date range? Did it round, estimate, or quietly invent a number to make the story flow? Without a record of the queries behind the answer, you cannot tell, and you end up re-checking the numbers by hand anyway.
Our AI runs real queries against your warehouse and reports back what they returned. Every query and every result is recorded as it happens. When you open the Advanced Breakdown, you see those exact queries and figures laid out plainly. The numbers in the breakdown are the numbers in your insight, because they are the same numbers, pulled from the same place, with the work shown.
Provenance shows the receipts. The Confidence Check reads them back. A second model from the opposite provider reviews the reasoning and returns a verdict that ships with your insight. See how the Confidence Check works for the full architecture and the four verdicts it can return.
The receipt behind every insight. Open it and see exactly how the numbers were derived.
The breakdown lists each query the AI ran to write your insight: the source it hit (GA4, Search Console, or Google Ads), the metrics and dimensions it asked for, the date range, and how many rows came back. These are the real calls the AI made, captured at the moment it made them. There is no second guess about what the model "probably" looked at.
Under each query you see the actual numbers it produced, the same rows the AI read before it wrote a word. Match the headline figure in your insight to the row it came from and the story holds up on its own. If you ever want to take a number to your board or your client, you can show where it came from.
The breakdown is built straight from the logged queries and results. No model writes it, so it can't soften a number or round in the AI's favor. It is the raw, verifiable evidence behind the insight, formatted to be readable. Open it once and it stays unlocked for that insight, so you can revisit the receipts any time.
The Bloom & Measure demo property is loaded by default on every free trial account.
The choices that separate Askalytics from answer-and-trust-me AI analytics.
Open the Advanced Breakdown on any insight. It shows the exact queries the AI ran against your data and the figures each one returned, including the source, the metrics, the date range, and the row counts. The numbers in the breakdown are the same numbers in your insight, so you can trace any headline figure straight back to the query that produced it.
Every figure in an insight is produced by a query against your own data, and that query is recorded. Because the Advanced Breakdown shows you those exact queries and results, an invented figure would have no receipt behind it. On top of that, a second AI from the opposite provider reviews the work through the Confidence Check and flags anything it cannot support.
Claude writes every insight, and ChatGPT, a model from the opposite provider, runs the Confidence Check, so you always get a cross-provider audit. You get a current frontier model reasoning over your private data, with provenance and verification wrapped around the result.
The AI reasons over your private data warehouse, which is refreshed every night from your connected Google sources (GA4, Search Console, and Google Ads). Querying the warehouse instead of hitting each vendor API live keeps insights fast and consistent, and it means the same query returns the same numbers every time you check the receipt.
No. The AI queries pre-computed warehouse tables rather than your live vendor APIs, so the queries are fast. The Advanced Breakdown is built from the queries that already ran, so opening it is instant. Insights run in the background and you get a notification when yours is ready, with the receipts attached.
The second AI from the opposite provider that audits each insight before it reaches you. The second trust layer.
Learn more →The end-to-end insight pipeline. The AI queries your warehouse, the Advanced Breakdown shows the receipts, and the Confidence Check signs off.
Learn more →Side-by-side against tools that give you an AI answer with no receipts and no second opinion. None of them ship provenance plus cross-provider verification.
See comparisons →Connect GA4, Search Console, Google Ads, and Microsoft Clarity in a few minutes, plus HubSpot and Mailchimp in beta. Every insight arrives with the queries behind it and a cross-provider sign-off.