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 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) 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.

Set up steps

This flow requires intermediate familiarity with n8n and API key setup. Full configuration may take 30–60 minutes.

✅ Prerequisites

• Scrapeless account (for Google Trends and web crawling)
• LLM provider (e.g. OpenAI or Claude)
• Supabase or Google Sheets (to store keywords & article output)

🧩 Required Credentials in n8n

• Scrapeless API Key
• OpenAI (or other LLM) credentials
• Supabase or Google Sheets credentials

🔧 Setup Instructions (Simplified)

1. Input Seed Keyword
   Edit the “Set Seed Keyword” node to define your niche, e.g., "project management".

2. Google Trends via Scrapeless
   Use Scrapeless to retrieve “related queries” and their interest-over-time data.

3. Trend Analysis with AI Agent
   AI evaluates each keyword's trend strength and assigns a priority (P0–P3).

4. Filter & Store Keyword Data
   Group and sort keywords by priority, then store them in Google Sheets.

5. Competitor Research
   Use Deep SerpAPI to get top 3 Google results. Crawl each using Scrapeless.

6. AI Content Generation
   Feed competitor content + trend data into AI. Output a structured SEO blog article.

7. Store Final Article
   Save full article JSON (title, meta, slug, content) to Supabase.