Automated SEO content engine with Claude AI, Scrapeless, and competitor analysis

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

How it works

This n8n workflow helps you build a fully automated SEO content engine using [Scrapeless](https://www.scrapeless.com/?utmsource=n8n&utmcampaign=seo-engine) and AI. It’s designed for teams running international websites—such as SaaS products, e-commerce platforms, or content-driven businesses—who want to grow targeted search traffic through high-conversion content, without relying on manual research or hit-or-miss topics.

The flow runs in three key phases:

🔍 Phase 1: Topic Discovery Automatically find high-potential long-tail keywords based on a seed keyword using Google Trends via Scrapeless. Each keyword is analyzed for trend strength and categorized by priority (P0–P3) with the help of an AI agent.

🧠 Phase 2: Competitor Research For each P0–P2 keyword, the flow performs a Google Search (via [Deep SerpAPI](https://www.scrapeless.com/en/product/deep-serp-api?utmsource=n8n&utmcampaign=seo-engine)) and extracts the top 3 organic results. Scrapeless then crawls each result to extract full article content in clean Markdown. This gives you a structured, comparable view of how competitors are writing about each topic.

✍️ Phase 3: AI Article Generation Using AI (OpenAI or other LLM), the workflow generates a complete SEO article draft, including: - SEO title - Slug - Meta description - Trend-based strategy summary - Structured JSON-based article body with H2/H3 blocks

Finally, the article is stored in Supabase (or any other supported DB), making it ready for review, API-based publishing, or further automation.