AI News RSS to LinkedIn Posts: n8n + OpenAI + Airtable

Turn AI RSS headlines into ready-to-publish LinkedIn posts—automatically (daily) with n8n + OpenAI + Airtable

This n8n workflow pulls fresh AI-related articles from multiple RSS feeds, uses OpenAI to select the strongest editorial signal and draft a LinkedIn company-page post, stores the full editorial pack in Airtable, generates (and QA-checks) an image, and then publishes the image post to LinkedIn in production mode.

What this workflow does

• Runs daily on a scheduled trigger, applying a posting-day cadence and a safety gate that blocks publishing during manual/test executions.
• Loads publishing history from Airtable to avoid repeating or overusing similar topics.
• Ingests and processes RSS content from TechCrunch AI, The Verge AI, and the OpenAI Blog RSS feeds.
• Cleans, deduplicates, and balances candidates, then sends candidates plus recent history to OpenAI to choose one publishable signal.
• Drafts the LinkedIn post with OpenAI, then runs a second OpenAI pass to tighten the copy and appends 2–3 relevant hashtags.
• Creates an Airtable editorial record with final copy, source URL, and metadata.
• Generates a square editorial image (via optional HTML screenshot service or OpenAI image generation), uses OpenAI to QA the image, and retries if it fails.
• Publishes to LinkedIn (organization page) in production mode and writes the posting result back to Airtable.

Use cases

• SaaS teams that want consistent AI thought-leadership LinkedIn posting without manual research and writing.
• Automation engineers building an n8n content pipeline with quality controls (selection, copy tightening, image QA).
• Marketing ops teams tracking what was posted and why via Airtable editorial packs.

Technical details

• Integrations/nodes: if, set, code, gmail, merge, Airtable (plus RSS inputs and LinkedIn publish steps as part of the workflow).
• AI services: OpenAI for editorial selection, LinkedIn drafting (including second-pass refinement), image generation, and image QA-check with retry logic.
• Controls: scheduled trigger, posting cadence, and a safety gate to prevent publishing during test/manual runs.
• Setup: add OpenAI credentials (chat completions and image generation) and update model choices if needed.