AI Agent for Market Research — Built for SuperSaaS
Automate Market Research for teams using SuperSaaS. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
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.
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 SuperSaaS
Link SuperSaaS to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in SuperSaaS — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps SuperSaaS organized while you focus on execution. Track productivity gains on your dashboard.
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
When the AI hits an edge case during market research processing in SuperSaaS, it escalates to your team with full context — the SuperSaaS record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Yes. You can run market research workflows in test mode using sample SuperSaaS data before activating on live records. This lets you verify every market research rule works correctly with your SuperSaaS setup before processing real data.
Yes. You can create parallel market research workflows that respond to different SuperSaaS events or conditions. For example, one market research flow for new SuperSaaS records and another for updated ones — each with independent rules and actions.
Most users connect SuperSaaS and launch their first market research automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure market research-specific rules through a visual no-code builder.
The dashboard shows market research-specific metrics for your SuperSaaS integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how SuperSaaS-triggered market research workflows perform over time.
No coding required. The no-code builder walks you through connecting SuperSaaS and configuring market research rules visually. Your team can set up, modify, and manage SuperSaaS-based market research workflows without any developer involvement.
Yes. You define exactly which SuperSaaS events start market research workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so market research actions only fire when your specific criteria are met in SuperSaaS.
Manual market research in SuperSaaS requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as SuperSaaS events occur — running 24/7 with consistent accuracy and zero fatigue.
Arahi AI connects to SuperSaaS via one-click OAuth, then runs market research workflows that read and write SuperSaaS data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant SuperSaaS record without developer involvement.
SuperSaaS 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 SuperSaaS-adjacent work that genuinely needs human attention.
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