AI Intelligence Agent (n8n / No-Code / API / Web Scraping)
Budget: $30 – $250 USD
We are building a fully AI-native marketing infrastructure to support a portfolio of direct-to-consumer (DTC) wellness brands. Your first mission: develop a Trend & Competitor Intelligence Agent that runs daily, aggregates insights from across the web, and outputs structured trend intelligence that our content and growth agents can act on. This will be the central insight engine behind multiple future AI workflows across the group.
What You'll Build
A modular, maintainable system (ideally in n8n, though we’re open to Make or other no-code stacks) that runs daily and:
- Pulls top daily signals from Google Trends, Customer reviews (Amazon, Target, Walmart), Forums (Reddit – relevant subreddits), Social media (TikTok, Instagram, X — trending hashtags & formats), Industry publications & RSS feeds, Competitor monitoring (new products, site updates, newsletters)
- Filters for freshness, deduplicates, and optionally tags or scores results
- Uses OpenAI (or similar LLM) to generate 1–2 sentence summaries of each insight, optimized for content team use.
- Outputs structured data to Notion, Airtable, or Google Sheets
What You'll Build
A modular, maintainable system (ideally in n8n, though we’re open to Make or other no-code stacks) that runs daily and:
- Pulls top daily signals from Google Trends, Customer reviews (Amazon, Target, Walmart), Forums (Reddit – relevant subreddits), Social media (TikTok, Instagram, X — trending hashtags & formats), Industry publications & RSS feeds, Competitor monitoring (new products, site updates, newsletters)
- Filters for freshness, deduplicates, and optionally tags or scores results
- Uses OpenAI (or similar LLM) to generate 1–2 sentence summaries of each insight, optimized for content team use.
- Outputs structured data to Notion, Airtable, or Google Sheets