AI Agent for Market Research — Built for Netlify
Automate Market Research for teams using Netlify. 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 Netlify
Authorize Netlify in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses Netlify.
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
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 Netlify integration automates end-to-end market research — including data capture from Netlify, validation, routing, follow-up actions, and status updates. Every market research step that touches Netlify can be handled by the AI agent.
Yes. You can create parallel market research workflows that respond to different Netlify events or conditions. For example, one market research flow for new Netlify records and another for updated ones — each with independent rules and actions.
Yes. The market research agent connected to Netlify simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Netlify, process it, and push results to multiple destinations.
All data exchanged between Netlify and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for Netlify access, never store raw credentials, and maintain full audit logs of every market research action.
When the AI hits an edge case during market research processing in Netlify, it escalates to your team with full context — the Netlify record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
The dashboard shows market research-specific metrics for your Netlify integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Netlify-triggered market research workflows perform over time.
Teams automating market research through Netlify 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 Netlify-powered market research automation delivers.
No coding required. The no-code builder walks you through connecting Netlify and configuring market research rules visually. Your team can set up, modify, and manage Netlify-based market research workflows without any developer involvement.
Arahi AI connects to Netlify via one-click OAuth, then runs market research workflows that read and write Netlify data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Netlify record without developer involvement.
Netlify 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 Netlify-adjacent work that genuinely needs human attention.
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