Weekly autonomous scrape of competitor sites, ads, pricing, reviews, and social — diffed against last week, summarized in Slack.
Founders and marketing leads should know when a competitor changes pricing, launches a new service, or starts running new ads — but nobody checks consistently. An agent does it weekly: hits each competitor's site, ads transparency page, review platforms, and key social accounts; diffs the changes; summarizes what's new in plain English with links. 5 minutes of reading each Monday replaces 2+ hours of manual checking that nobody actually does.
5-10 competitors max. For each: pricing page URL, blog/news URL, Facebook Ads Library link, Google reviews URL, key social handles. More = noise.
Firecrawl or Apify for site scraping. Meta Ad Library has a public API. Google Reviews via Outscraper or Birdeye. Schedule weekly via n8n or Make.
Store last week's snapshot. New scrape = compare → extract: new pages, changed pricing, new ad creatives, new 1-star reviews, employee announcements.
Feed diffs to GPT-4: 'From these changes across [competitor], identify the 3-5 strategically meaningful items. Ignore minor wording tweaks. Flag any pricing or new-product changes loudly.'
Single channel post: per-competitor section, bullet list of changes, links to evidence. Tag the marketing lead on anything tagged 'pricing change' or 'new product'.
Aggregate the weekly diffs into a quarterly view: who's most active, who's changed positioning, what themes are emerging. Useful for board / strategy reviews.
Use these templates as-is or customize for your business.
You are a competitive intelligence analyst. Given these scraped changes from {{competitor_name}} this week vs. last week, identify the 3-5 strategically meaningful items. Ignore minor wording tweaks, footer changes, and routine blog cadence. Flag pricing changes, new product/service additions, hiring announcements (especially senior leadership), and shifts in positioning loudly.
Diff data: {{diff_payload}}
Output format:
• [HIGH/MED/LOW priority] [Change description with link to source]
If nothing meaningful changed, output: 'No significant changes this week.'📊 *Competitor watch — week of {{date}}*
*🏢 {{competitor_1_name}}*
{{competitor_1_summary}}
*🏢 {{competitor_2_name}}*
{{competitor_2_summary}}
— Full diff archive: {{archive_link}}🚨 *{{competitor}} just made a meaningful move:*
{{change_summary}}
📎 Source: {{evidence_link}}
👤 {{marketing_lead}} — worth a 10-min look today.Get a new AI workflow every week. Prompts, tool stacks, and ROI math included.
Single agent with function-calling: one LLM with a defined toolbox (CRM, calendar, knowledge base) decides which tool to invoke at each turn. Easiest to debug; appropriate for most well-scoped business workflows.
Learn the agentic glossary →Where this workflow tends to break in production — and what to put in place before you ship it.
Drowning in noise from minor changes
Mitigation: Strict prompt instruction to ignore wording tweaks; only HIGH-priority items get @mentions.
Scraper breaks silently
Mitigation: Health check that requires non-empty diff every other week; alert on suspicious zeros.
Skip if you only have one or two competitors and you already know them well. Skip if you're a category creator with no direct competitors. Don't scrape sites that explicitly disallow it in robots.txt.
A phased approach to get this workflow running and delivering ROI.
Days 1–30
Foundation
Days 31–60
Optimization
Days 61–90
Scale
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One practical AI workflow per week. No fluff.
Get the full guide with step-by-step setup, workflow templates, and copy-paste assets.