Run Market Research on Google — AI Agent
Already on Google? Add an Arahi AI agent for Market Research and save hours every week without writing code.
Brief drafted — 12 sources cited. Action items pulled:
Meeting notes
- • Lindy launched a $99 starter tier — undercutting our Pro by $50.
- • Relay shipped a Slack-native agent builder; demo gif on landing page.
- • Stack AI raised $25M; expect aggressive ad spend through Q2.
How does Google work for market research automation?
Google works for market research automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Google alongside the other apps your team already uses, watches for the triggers that matter for market research, and takes the next step on its own while keeping a complete audit trail for review. AI gathers market data from hundreds of sources and synthesizes it into actionable reports. Teams typically see days → Hours from scoping to report once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Google
Authorize Google and Arahi AI starts monitoring your infrastructure events and metrics.
Define Ops Automation Rules
Set up triggers for Google alerts — resource usage, security events, or deployment changes — and AI response actions.
Automate Ops & Stay Secure
AI handles routine operations in Google while flagging critical issues. Track incidents resolved and downtime prevented.
Lindy launched a $99 starter tier — undercutting our Pro by $50.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Notion · Compete tracker with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Competitor brief · Week of Mar 10.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The market research agent scales automatically as your Google activity grows. Whether you process 10 or 10,000 market research tasks per day from Google, the AI handles the volume without slowdowns or additional configuration.
Yes. You can run market research workflows in test mode using sample Google data before activating on live records. This lets you verify every market research rule works correctly with your Google setup before processing real data.
When the AI hits an edge case during market research processing in Google, it escalates to your team with full context — the Google record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Yes. The market research agent connected to Google simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Google, process it, and push results to multiple destinations.
No coding required. The no-code builder walks you through connecting Google and configuring market research rules visually. Your team can set up, modify, and manage Google-based market research workflows without any developer involvement.
Manual market research in Google requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as Google events occur — running 24/7 with consistent accuracy and zero fatigue.
The dashboard shows market research-specific metrics for your Google integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Google-triggered market research workflows perform over time.
All data exchanged between Google and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for Google access, never store raw credentials, and maintain full audit logs of every market research action.
Arahi AI connects to Google via one-click OAuth, then runs market research workflows that read and write Google data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Google record without developer involvement.
Google holds the data; AI supplies the judgment and throughput. Together they turn market research from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Google-adjacent work that genuinely needs human attention.
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