Workflows — Academl

Intermediate

An automated market research pipeline: query — list of players — deep profiles — a consolidated table — Notion / Sheet.

For: Founder, strategy, BD team

perplexityclauden8n

Steps

Prompts (3)

Step: Initial list

Give 10-15 players in segment X in country Y. Columns: name, description, size estimate, pricing model, source.

Step: Player profile

Build a company profile using the template from the prompt library research-competitor-deep-dive.

Step: Summary

Take the JSON with all the profiles. Find discrepancies in the data between sources. Mark [confirmed] / [uncertain].

Result: A table of 10-15 players with sources in 60-90 minutes instead of two days of analyst work.

Limitations: Quality is limited by the quality of the sources; niche markets require manual validation.

Intermediate

Regularly checks competitors' sites, blogs, releases, and Twitter/X. Once a week, delivers a condensed summary of changes.

For: Product, marketing, founders

n8nclaudeperplexity

Steps

n8n: a list of domains and URLs to monitor
Fetch RSS / sitemap / changelog once a day
Compare with the previous snapshot
Claude: filter noise and highlight significant changes (new features, prices, cases)
Once a week: a digest in Slack / email

Prompts (2)

Step: Noise filter

Given a diff of pages. Select only material changes: features, prices, product announcements, new cases. Ignore cosmetics.

Step: Summary

Produce a weekly competitor digest in the format: company — what changed — what to pay attention to. No more than 1 screen.

Result: An understanding of competitors' moves without visiting their sites daily.

Limitations: JS-heavy pages fetch poorly with a standard HTTP node; you need a browser fetch.