How to connect Google Sheets to an AI data analyst
Updated 2026-07-01
An AI data analyst is most useful when it runs on your real data. This guide shows how to connect Google Sheets so you can ask questions in plain English and get charts, dashboards and reports back — without writing SQL by hand.
The setup takes a few minutes: connect your file or sheet, let the analyst read the schema, and ask your first question. Your data are encrypted, and the analysis runs on your own AI provider key.
- 1
Get your Google Sheets connection details
No database credentials are needed. You authorise access to your Google account, then pick the spreadsheet and tab you want to analyse.
- 2
Understand the read-only model
Access is read-only by design — the analyst reads the sheet's values, it never writes back. Share only the spreadsheets you want analysed.
- 3
Create your account and add your AI key
Sign up, then add your own AI provider key (bring-your-own-key). If you don't have one yet, a free key takes about a minute to create — your key is encrypted and used only for your requests.
- 4
Add the Google Sheets connection
Add a data source, choose Google Sheets, authorise your Google account, and select the spreadsheet and tab. The first row is treated as column headers.
- 5
Let the AI read and annotate your schema
The analyst treats each tab as a table and infers column types. You can rename or describe columns in plain English so questions map cleanly.
- 6
Ask your first question in plain English
Ask something like "Total by category from this sheet". On complex questions the analyst shows a readable query plan before it runs anything; review it, then get a chart plus the data behind it. Refine by chatting, then pin it to a dashboard or save it as a report.
Why connect Google Sheets instead of exporting
A static export goes stale the moment you download it, and a general AI assistant that only sees a pasted file guesses what your columns mean. A connected AI data analyst reads live Google Sheets data, shows the query plan before running it, and remembers what your fields mean between sessions — so answers stay current and consistent.
Google Sheets: things to know
- Keep a clean header row and consistent column types — merged cells and mixed types make inference harder.
- Google Sheets is uncounted on the Free plan, so it's a good first source to try.
Example questions to ask your Google Sheets data
- Total by category from this sheet
- Month-over-month change in the revenue column
- Rows where status is overdue, grouped by owner
Keeping it safe
- Your uploaded data is read for analysis only and never written back.
- A read-only SQL guard blocks anything that isn't a read query.
- Connection details and your AI key are encrypted at rest.
- Your business data isn't stored or used to train any model.
Frequently asked questions
Related
Get your end-to-end AI business intelligence now.
Conversational analytics with AI that understands your data — no SQL, no data team required.