Market research Claude does by reading the source, not by querying a database.
Claude reads competitor changelogs, customer interviews, analyst notes, and the long-form posts that actually move opinion — then writes a synthesis with the citations preserved.
Brief drafted — 14 sources cited. Action items pulled:
Meeting notes
- • Adept shifted positioning from 'browser agent' to 'enterprise copilot'.
- • Lindy launched a $99 starter tier — undercutting our Pro by $50.
- • Stack AI raised $25M; expect aggressive ad spend through Q2.
How does Anthropic (Claude) work for market research automation?
Anthropic (Claude) 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 Anthropic (Claude) 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 Anthropic (Claude)
Authorize Anthropic (Claude) 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 Anthropic (Claude).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Adept shifted positioning from 'browser agent' to 'enterprise copilot'.
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
'Who's our biggest competitive threat in mid-market this quarter?' 'What pricing models did our top 5 competitors ship in the last 6 months?' 'What are the 3 most-debated technical decisions in our category right now?' Anything where the answer is in prose somewhere — not in a structured database.
Search-and-summarize gives you the top results paraphrased. Claude reads the full sources end-to-end, weighs them by recency and authority, and synthesizes the disagreements. The output reads like a junior analyst's memo, with citations you can audit.
Public web, company changelogs and blog feeds, podcast transcripts, your internal corpus (call recordings, customer interviews, sales notes), and any subscription you have (PitchBook, CB Insights, Forrester, Gartner) with credentials provided.
Every claim links to its source. Disagreements between sources are surfaced explicitly: 'Source A says X; Source B (more recent) says Y.' The agent's own confidence is stated for each claim.
Yes. Weekly competitive briefs, monthly deep-dives on a target topic, ad-hoc one-offs. Each run is reproducible — same inputs → same output structure, with a delta showing what's changed since last time.
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