AI Automation with Make

How to Automate Content Publishing Using AI + Make

Publishing consistent content across a blog, social media, email, and video is a full-time job — unless you automate it. Here is the complete system for AI-assisted content publishing on autopilot.

5 ChannelsFrom one workflow
90%Less manual publishing work
ConsistentOutput every week
The Content Publishing Problem

Why Most Teams Publish Inconsistently

Inconsistent publishing is almost never a creativity problem. It is a systems problem.

Content marketing compounds over time — the tenth article drives more traffic than the first, the fiftieth more than the tenth. The teams that win in content are not necessarily the most talented writers; they are the most consistent publishers.

Consistency breaks down because publishing is a multi-step process across multiple platforms, each requiring slightly different formats, image sizes, character counts, and tones. Without a system, each piece of content requires manual effort across every channel. With an AI + Make system, you create once and publish everywhere — automatically.

The System Architecture

How the Publishing Pipeline Works

Four stages — ideation, creation, formatting, and distribution — each with automation at the right point.

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Stage 1: Ideation and Brief

A weekly Make scenario pulls your content calendar from Airtable or Notion, checks your keyword targets from a linked SEO tool, and uses AI to generate a detailed content brief for each piece due that week. Briefs arrive in a Slack channel every Monday morning.

✍️

Stage 2: AI-Assisted Creation

A writer or the AI itself produces the first draft using the brief. For fully automated posts (social, email snippets), AI generates the complete content. For high-stakes content (blog posts, pillar pages), AI produces the draft and a human edits.

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Stage 3: AI Reformatting

A Make scenario takes the approved long-form piece and passes it to GPT-4o with instructions to reformat it for each channel: LinkedIn post, three tweet variants, email newsletter excerpt, Instagram caption, and YouTube description. One source piece becomes seven channel-specific assets.

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Stage 4: Automated Distribution

Each formatted asset is pushed to its destination automatically: WordPress via REST API for the blog post, Buffer for social scheduling, Mailchimp or SendGrid for the email newsletter. Everything publishes on schedule without manual platform management.

Building Stage 3

The Reformatting Workflow in Detail

This is the highest-leverage step — one piece of content multiplied across channels automatically.

1

Trigger: content approved in Airtable

Add a checkbox field called ‘Approved for publishing’ to your content database. The Make scenario watches for records where this checkbox is checked and the publish_date is today or earlier.

2

Fetch the full article content

Use Make’s Airtable or Notion module to retrieve the full article body, title, target keyword, and any brand guidelines stored with the record.

3

AI reformatting call — one prompt, structured JSON output

Send to GPT-4o with the full article as context. System prompt instructs it to return a JSON object with keys: linkedin_post (max 1200 chars, no hashtag spam), tweet_1, tweet_2, tweet_3 (max 280 chars each), email_excerpt (max 200 chars, with a curiosity hook), instagram_caption (max 150 chars, 5 relevant hashtags). JSON mode ensures clean parsing.

4

Parse and route each asset

Make’s JSON parse module splits the response into individual variables. Each asset routes to its own module: LinkedIn post to Buffer LinkedIn queue, tweets to Buffer Twitter queue, email excerpt to a Mailchimp campaign draft, Instagram caption to Buffer Instagram queue.

5

Update the content record

Write the reformatted assets back to the Airtable record for archiving. Mark the record as ‘Published’ with a timestamp. The content team has a complete record of everything published without manually logging anything.

The Blog Publishing Workflow

Posting to WordPress Automatically

// Make HTTP module — POST to WordPress REST API
URL: https://yoursite.com/wp-json/wp/v2/posts
Method: POST
Headers: Authorization: Basic base64(username:app_password)

Body (JSON):
{
"title": "{{ article_title }}",
"content": "{{ article_html_body }}",
"status": "publish",
"categories": [{{ category_id }}],
"tags": [{{ tag_ids }}],
"excerpt": "{{ ai_generated_meta_description }}",
"meta": {
"_yoast_wpseo_focuskw": "{{ target_keyword }}",
"_yoast_wpseo_metadesc": "{{ meta_description }}"
}
}

📌 Generate an Application Password in WordPress (Users > Profile > Application Passwords) rather than using your main account password. This gives Make API access without exposing your primary credentials.

Results You Can Expect

What This System Delivers

7 assetsPer piece of content created
90 minWeekly time investment after setup
3xMore consistent publishing cadence
ZeroManual cross-posting after launch

Want Your Content System Built and Automated?

SA Solutions builds end-to-end content automation pipelines — from brief generation through multi-channel publishing — using Make.com and AI.

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