SearXNG + OpenAI SEO Blog Draft Workflow in n8n (Webhook)
SearXNG + OpenAI SEO Blog Draft Workflow in n8n (Webhook)
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SearXNG + OpenAI SEO Blog Draft Workflow in n8n (Webhook)
Regular price
£41.99
Regular price
£41.99
Sale price
Unit price
/
per
Turn research into SEO blog drafts—automatically
This n8n workflow generates SEO-focused blog article drafts by researching your topic with SearXNG, drafting and scoring the post with an OpenAI-compatible LLM, and then saving the result to Payload CMS—either on-demand via webhook or automatically on an hourly schedule.
What this workflow does
-
Triggers: Runs when you POST to the
blog-articlewebhook endpoint, or every hour to auto-propose a new topic using an OpenAI-compatible LLM. - Context setup: Normalizes the incoming subject and word budget into a run context.
- Topic research: Asks the LLM to produce six web search queries, then searches them in SearXNG, aggregating and cleaning/deduplicating SERP evidence used for SEO grounding.
- Keyword research: Generates primary/secondary keywords, relevant questions, and content gaps—grounded in the collected SERP data.
- Draft generation: Writes a structured blog draft (title, slug, SEO fields, and content blocks) using the keyword research and SERP evidence.
- Quality critique + optional revision: Runs an LLM critique scoring quality/SEO/editorial criteria; if it fails the threshold, performs one full revision pass.
- Publish to CMS: Validates the final content against an allowed block list and POSTs the draft to Payload CMS. The webhook caller receives a JSON response; scheduled runs log outcomes.
Use cases
- SaaS operators needing consistent SEO content pipelines without manual research and outlining.
- Automation engineers building “research → draft → score → publish” flows for a marketing team.
- Teams that want hourly topic ideation and quick blog drafts ready for review in Payload CMS.
Technical details
-
Triggers: Webhook trigger (
blog-article) and Schedule Trigger (hourly). -
Core logic nodes:
if,code,http request,sticky note. - LLM access: Uses an OpenAI-compatible API credential with LangChain Chat model nodes across all LLM steps (topic discovery, query seeding, keyword research, drafting, critique, and revision).
- Search: SearXNG for SERP retrieval and evidence grounding.
- CMS output: Saves validated draft data to Payload CMS.
