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Goal: Automate the generation and publication of AI-generated content across multiple social media platforms (LinkedIn & Facebook) using natural language prompts.

Problem: Manually creating and posting AI content to multiple platforms is time-consuming and error-prone, especially when customizing for each audience.

Solution: A Make scenario that integrates text generation, platform-specific publishing, and automated routing using AI + API.

🔹 Step 1 – Webhook Trigger: Receives incoming requests with 3 key fields:

• url (caption subject)
• style (creative tone)
• platforms[] (e.g., ["facebook", "linkedin"])

🔹 Step 2 – Google Gemini AI: Generates a caption in your desired style using the given prompt.

🔹 Step 3 – Router: Splits the flow based on the platforms array.

🔹 Step 4 – LinkedIn Post: Posts the AI-generated content as a User Text Post.

🔹 Step 5 – Facebook Page Post: Publishes the content on a Facebook Page using the Pages API.

🔹 Step 6 – Webhook Response: Each platform returns a success confirmation with a status message.

Tools Used:

• Make
• Google Gemini AI
• LinkedIn API
• Facebook Pages API

Impact:

• Saves 90% time in content publishing workflow.
• Adds creative consistency through AI.
• Ready for scale to more platforms (e.g., Twitter, Instagram).

🧠 Learnings:

• Gemini provides excellent natural language generation, ideal for crafting engaging captions, summaries, and calls to action.
• Facebook Pages API supports text-based publishing.
• LinkedIn API is reliable for user text posts.

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📂 Download & Explore the Workflow:

View GitHub Repository :

Multi-Platform-AI-Content-Publisher/Multi-Platform AI Content Publisher.blueprint.json at main · AlvLeoAI/Multi-Platform-AI-Content-Publisher