Chat with SMAQ AI
Get answers, build charts, run playbooks, and add results to your dashboard — all from the chat panel.
SMAQ AI isn't a generic chatbot — it knows your connected data, your datablocks, your dashboards, and your playbooks. It can fetch numbers, build visualizations, run multi-step analyses, and push results back onto your dashboards.
Prerequisites
A project with at least one connected data source.
Where to find chat
In any project: click Chat in the side menu.
Inside any dashboard: click the chat icon in the dashboard header. The AI has access to the current dashboard's context.
On a public dashboard: viewers can chat about the data without signing in. See Public dashboards & sharing.
What the AI can do
The chat experience is powered by a team of specialized agents. You don't pick agents directly — the supervisor routes your question to the right one. See What SMAQ AI can do for the full list.
A non-exhaustive sample:
"What was my ROAS last week vs the week before?" — fetches the data and replies with a number + a comparison.
"Show me a line chart of spend by day, last 30 days, by channel." — builds the chart inline. You can click Add to dashboard to push it onto a dashboard.
"Why did conversions drop on Tuesday?" — runs a multi-step analysis: pulls the data, compares against typical days, checks campaign-level changes, and writes up findings.
"Run my weekly review playbook." — executes a saved playbook.
Step 1 — Start with a clear question
Be specific about:
What metric (Spend, Conversions, ROAS, etc.)
Which source (if you have multiple — "Google Ads spend" vs "Meta spend")
The time window ("last 30 days", "Q1", "yesterday vs the day before")
Examples that work well:
"What's my Google Ads CPA by campaign for the last 14 days?"
"Top 5 fatigued ads on Meta in the last 7 days."
"Compare GA4 ecommerce conversion rate by channel, this month vs last."
Examples that need clarification (the AI will ask):
"How am I doing?" — too vague.
"What's the best channel?" — best at what? Over what period?
Step 2 — Use suggested questions
When you open the chat, you'll see a strip of suggested questions tailored to your connected data. Click any to send it as your first message — they're a good way to discover what's possible.
Step 3 — Watch the thinking
For multi-step questions, the AI shows you what it's doing — fetching data from Google Ads, comparing periods, running an aggregation, etc. You can collapse this if it's noisy.
Step 4 — Add results to a dashboard
When the AI returns a chart or table, hover over it and click Add to dashboard. Pick the target dashboard and page. The widget lands there, fully editable like any other widget.
Step 5 — Iterate
Treat chat as a conversation:
"Now break that down by device."
"Filter to just the search campaigns."
"Compare against the same period last quarter."
The AI keeps the context of the conversation. Start a new chat when switching to an unrelated topic — see the Chat History view to find old conversations.
Best practices
One topic per chat — keeps context tight and the AI's answers focused.
Be specific — "ROAS by campaign last week" beats "campaign performance."
Use playbooks for repeated analyses — see Build your first playbook.
Click "Add to dashboard" to build a dashboard incrementally through conversation, instead of configuring each widget manually.
What's next
What SMAQ AI can do — full agent reference.
Playbooks — codify your analyses.
Build your first playbook — step-by-step tutorial.
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