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competitive-intelligence
automation
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Automated Market Research System

Build a research system that continuously scans competitors, industry news, and customer sentiment — then synthesizes findings into a weekly intelligence brief your team actually reads.

Time Required

4–8 hours to build

Expected Result

A weekly market intelligence report covering competitor moves, trending topics, and customer signal — assembled automatically and delivered to your inbox or Slack channel.

1

Scrape competitor and industry data

Use Apify to schedule weekly scrapes of competitor pricing pages, product changelogs, job listings, and industry news sources. Export structured JSON to a shared data store.

Apify
2

Aggregate and search research sources

Run targeted queries in Perplexity to pull recent analyst reports, news coverage, and forum discussions about your market. Save key findings with citations.

Perplexity
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3

Surface academic and expert signals

Use Elicit and Consensus to query research papers and expert publications for emerging trends relevant to your product category. Export summaries of the most relevant findings.

Elicit
Consensus
4

Synthesize into an intelligence brief

Feed all collected data into Claude with a prompt template for your weekly brief format: executive summary, competitor moves, market shifts, customer signals, and recommended actions.

Claude
5

Automate delivery and archiving

Use Zapier to trigger the Claude synthesis step on a weekly schedule, deliver the report to Slack and email, and archive each brief in a Notion database for trend tracking over time.

Zapier
Notion AI
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