The Problem
An r/Agentic_SEO post built a full pipeline end-to-end (scrape, summarize, gap, generate, optimize, fact-check, QA). Holds together but the right components matter — wrong defaults make the pipeline expensive and brittle.
The Scavio Solution
n8n Cloud Pro €60/mo (10K execs) + Scavio (SERP/Reddit/YouTube research layer) + LLM (draft + fact-check) + a small fact-check pass against authoritative sources + QA gate before publish. Per-piece predictable cost ~$0.50-2.
Before
Per-step manual work or single-vendor platform lock-in. Surprise overage at scale; no auditable per-step output.
After
Each n8n node is one transformation; each step is auditable; per-piece cost is predictable; agency can scale the same pipeline across many clients.
Who It Is For
SEO agencies, content teams shipping at multi-piece-per-week cadence, marketers preferring composable stacks over single-vendor platforms.
Key Benefits
- n8n composability — swap any step
- Scavio is the SERP/Reddit/YouTube research layer
- Per-step auditable
- n8n Cloud Pro €60/mo handles agency volume
- Per-piece $0.50-2 in API cost
Python Example
# n8n nodes are visual; the actionable shape is per-step. Example Scavio gap-find node:
# HTTP Request: POST https://api.scavio.dev/api/v1/search
# Body: { query: '{{topic}} {{year}}', include_ai_overview: true }
# Output: organic + ai_overview → next node (LLM gap analysis)JavaScript Example
// n8n workflow JSON (export); per-step nodes call Scavio + LLM + fact-check.Platforms Used
Web search with knowledge graph, PAA, and AI overviews