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How to Build a Full SEO Content Pipeline in n8n (2026)

End-to-end n8n workflow: trigger → Scavio research → LLM gap → draft → SEO score → fact-check → QA → publish.

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An r/Agentic_SEO post built a full pipeline end-to-end. This walks the actionable recipe with n8n nodes.

Prerequisites

  • n8n Cloud Pro €60/mo (10K execs) or self-hosted
  • Scavio API key
  • OpenAI / Anthropic API key
  • Authoritative-source fact-check list per topic

Walkthrough

Step 1: Trigger node

Manual or webhook with target keyword + brief.

Text
// n8n: Manual Trigger or Webhook Trigger. Body: { topic, brief, target_word_count }.

Step 2: Scavio SERP + AI Overview research

HTTP Request node to Scavio.

Text
// HTTP Request:
// URL: https://api.scavio.dev/api/v1/search
// Method: POST
// Headers: x-api-key: $SCAVIO_API_KEY
// Body: { query: '{{topic}} 2026', include_ai_overview: true }

Step 3: Reddit signal node

Scavio Reddit search for community pulse.

Text
// HTTP Request: { query: 'reddit r/relevant {{topic}} 2026' }

Step 4: LLM gap-finding pass

Compare top 5 ranking pages; identify missing depth.

Text
// LLM prompt: 'Top 5 pages cover [...]. Identify 3-5 gaps in depth.'

Step 5: LLM draft node

Brief + research + gap → first draft.

Text
// LLM prompt: 'Write a {{target_word_count}} word piece on {{topic}} addressing gaps {{gaps}}, citing sources.'

Step 6: SEO score / optimization node

Heading structure, keyword density, internal links.

Text
// LLM with rubric: 'Score the draft 0-100 on H1/H2 structure, primary-keyword density, internal-link slots.'

Step 7: Fact-check pass

LLM with cited-sources requirement on each numeric claim.

Text
// LLM: 'For each numeric claim, find a source via scavio_search. If no source: flag for human review.'

Step 8: QA gate

Length, links, tone, fact-check pass = green.

Text
// IF node: passes → publish; fails → loop back to draft.

Step 9: Publish node

CMS API or Markdown write.

Text
// HTTP Request to CMS or write to /content folder.

Python Example

Python
# Per-piece cost: ~$0.50-2 (Scavio + LLM + fact-check). 50 pieces/mo × $1.50 = $75/mo data.

JavaScript Example

JavaScript
// n8n workflow JSON exports the pipeline.

Expected Output

JSON
End-to-end SEO content pipeline producing fact-checked drafts at $0.50-2/piece with per-step auditability.

Related Tutorials

  • How to Build a 10M-Token RAG Corpus With Scavio (2026)

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

n8n Cloud Pro €60/mo (10K execs) or self-hosted. Scavio API key. OpenAI / Anthropic API key. Authoritative-source fact-check list per topic. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Related Resources

Workflow

n8n Full SEO Content Pipeline Workflow

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Best Of

Best n8n SEO Pipeline Stacks (2026)

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Solution

n8n Full SEO Content Pipeline Stack

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Comparison

n8n SEO Pipeline (DIY) vs Frase

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Use Case

Agentic SEO Content Operations

Read more
Use Case

n8n Full SEO Content Pipeline

Read more

Start Building

End-to-end n8n workflow: trigger → Scavio research → LLM gap → draft → SEO score → fact-check → QA → publish.

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