What this template does

Stop manually rewriting your blog content for each social platform. This automation analyzes your blog post and generates platform-native variations — punchy LinkedIn carousels, Twitter threads, Instagram captions — all preserving your brand voice. Then schedules everything via Buffer for optimal posting times.

Use cases

  • Content marketers maximizing distribution from each blog post
  • Agencies running content for multiple clients
  • SaaS founders building thought leadership without spending hours on social
  • Solo creators repurposing newsletter content

How it works

  1. Watch new WordPress posts

    Trigger fires when a new post status changes to Published in WordPress.

  2. Fetch full post content

    Use the WP REST API to retrieve the full post HTML, title, excerpt, and featured image.

  3. Strip HTML and clean text

    Use a Text Parser module to convert HTML to clean Markdown for the AI.

  4. Generate LinkedIn post

    GPT-4 creates a 1,200-character LinkedIn post with hook, body, CTA, and 3-5 hashtags.

  5. Generate Twitter thread

    GPT-4 creates a 5-7 tweet thread expanding on the blog's main points.

  6. Generate Instagram caption

    GPT-4 creates a 150-word caption with relevant hashtags.

  7. Schedule via Buffer

    Add LinkedIn, Twitter and Instagram posts to Buffer queue at optimal times.

  8. Log distribution in Airtable

    Track which blog posts have been distributed and on which platforms.

Setup time

Around 20 minutes including OpenAI API key and Buffer connection.

Customization ideas

  • Add a brand voice guide to the system prompt for consistency across posts
  • Generate image variations with DALL-E 3 for each platform
  • Add a manual approval step before publishing
  • Cross-post to Mastodon, Bluesky, or Threads in addition to mainstream platforms