Market Research Automation on Linkish, Powered by AI
Run Market Research on top of Linkish with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
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 Linkish
Link Linkish to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Linkish — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Linkish 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
Manual market research in Linkish requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as Linkish events occur — running 24/7 with consistent accuracy and zero fatigue.
The Linkish integration automates end-to-end market research — including data capture from Linkish, validation, routing, follow-up actions, and status updates. Every market research step that touches Linkish can be handled by the AI agent.
All data exchanged between Linkish and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for Linkish access, never store raw credentials, and maintain full audit logs of every market research action.
The Linkish integration maintains a persistent real-time connection for market research automation with automatic retry logic and continuous monitoring. If Linkish experiences downtime, queued market research tasks process automatically once connectivity resumes.
Teams automating market research through Linkish typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Linkish-powered market research automation delivers.
When the AI hits an edge case during market research processing in Linkish, it escalates to your team with full context — the Linkish record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Most users connect Linkish 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.
Yes. You can run market research workflows in test mode using sample Linkish data before activating on live records. This lets you verify every market research rule works correctly with your Linkish setup before processing real data.
Arahi AI connects to Linkish via one-click OAuth, then runs market research workflows that read and write Linkish data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Linkish record without developer involvement.
Linkish 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 Linkish-adjacent work that genuinely needs human attention.
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