Need an AI Automation Expert with experience in SEO
πŸ“˜ Specifications – AI Development for Product Research and SEO [French Market]
🎯 Context & Objective
A concrete and strategic mission: automate and enhance product research (winners) and high-potential SEO keywords through AI for the Winners Club.
🧩 Current Challenges
  • 7 team members currently dedicated to manual research of products and keywords.
  • Use of platforms such as:
  • Data tracking is done in a shared Google Sheet, including links to sources and weekly manual validation.
  • Objective: 10 validated new products per week.
🧠 Project Goal (AI)
Create an autonomous or semi-autonomous tool that:
  1. Automates trending, high-potential SEO keyword discovery.
  2. Performs intelligent scraping of e-commerce and ad sources.
  3. Uses AI to correlate keywords with potentially winning products.
  4. Generates a weekly prioritized list of products and keywords for human validation.
  5. Automatically fills a dashboard or database (e.g., Google Sheet, Notion, Airtable, Supabase, etc.).
βš™οΈ Expected Features for this POC (Proof of Concept)
1. πŸ” Trend Detection
  • Use the Google Trends API (country-by-country in Europe + USA).
  • Identify emerging keywords in major e-commerce categories.
  • Combine with SEMrush databases or free alternatives (e.g., Ubersuggest, Ahrefs API if available).
2. 🧰 Multi-Source Scraping
Scrape the following sources, with filters by country/language (non-exhaustive):
  • Facebook Ads Library (by keyword or specific pages)
  • TikTok Creative Center / Ads Library
  • Amazon Best Sellers
  • Google Shopping
  • Mindeo
  • Competitor stores (predefined list)
⚠️ The scraper must:
  • Avoid duplicates
  • Tag already analyzed products
  • Allow filtering by date / recency
3. πŸ€– AI Correlation & Scoring
  • Correlate trending keywords with found products.
  • Generate a relevance score based on:
4. πŸ“Š Output & Visualization
  • Create a management app for keywords/products by niche, including:
  • Product database should include:
  • Interface: ideally a user-friendly web app, initially connected to Google Sheet for easy integration into the current workflow.
πŸ’‘ Example Use Case
  1. A trending keyword is detected on Google Trends: β€œanti-mosquito fly summer 2025”.
  2. The AI scrapes Amazon, TikTok, Mindeo and finds products in this category.
  3. It cross-checks product appearances with Facebook/TikTok ads.
  4. It scores the product and adds it to the database with associated details.
πŸ›  Suggested Tech Stack (modifiable)
  • Languages: To be determined
  • APIs (non-exhaustive):
  • Database: Supabase / Google Sheets
  • Frontend (v1 simple): Notion or Google Sheet for weekly validation
πŸ“… Projected Timeline for Testing
Phase
Deadline
Source gathering (store & category lists)
Day 0
Basic scraping & keyword detection
Day 3
AI correlation between keywords & products
Day 6
Delivery of test dashboard with 10 proposed products
Day 7
βœ… Success Criteria
  • Deliver at least 10 relevant product suggestions correlated with high-potential keywords.
  • Tool must work at least in semi-autonomy, with minimal manual intervention.
  • Provide clear documentation of how it works.
  • Scalability to other niches or sources is a bonus.
So we need someone who speaks french better, can do the demo within 7 days test to show it works.
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Jean charles Salvin
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Need an AI Automation Expert with experience in SEO
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