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How does Postiv AI avoid creating generic content?

Carolina Posma avatar
Written by Carolina Posma
Updated over 4 months ago

Generic AI content is everywhere. It's easy to spot - it reads the same, sounds like everyone else, and gets ignored. That's not what Postiv AI creates.

The Problem with Generic AI Content

Most AI writing tools work like this: You give a prompt β†’ AI generates content based on its general training data β†’ You get generic content that sounds like everyone else.

The result? Generic content attracts generic prospects. Or worse - no prospects at all.

How Postiv AI Is Different

Every time you request a LinkedIn post, here's what happens behind the scenes:

1. Your AI Agent Searches Your Content Library First

Before generating anything, your AI agent searches through your entire Content Library to find relevant information from your existing knowledge.

This means your posts are built on:

  • Your actual expertise and experiences

  • Your real case studies and examples

  • Your unique frameworks and methodologies

  • Your proven insights and perspectives

Not on generic information that AI scraped from the internet.

2. Your Voice, Your Authority

Because the AI agent learns from your uploaded content - your blog posts, presentations, past LinkedIn posts, YouTube transcripts - it understands:

  • How you explain concepts

  • What topics you care about

  • Your writing style and tone

  • Your unique point of view

The more diverse content you upload, the better the AI gets at sounding authentically like you.

3. Custom Styling & Instructions

Want even more control? You can train your AI agent further through:

Settings β†’ AI Context β†’ Postiv AI Rules

  • Add custom instructions for tone, style, or approach

  • Specify industry terminology or preferences

  • Guide how the AI should structure posts

Settings β†’ LinkedIn Styling

  • Authority Statements: Your credentials and achievements the AI can reference

  • Call-to-Actions: Your preferred CTAs (book a call, download a guide, etc.)

  • Content Principles: Guidelines for your content style

  • Voice Examples: Additional samples of your writing style

Why This Matters for Your Business

Generic content = Generic results

When prospects see another generic "5 tips for productivity" post, they scroll past. But when they see content with:

  • Real expertise and specific examples

  • Your unique perspective and experience

  • Authentic voice (not obviously AI-generated)

They stop scrolling. They engage. They remember you.

And that's when LinkedIn becomes a lead generation channel - not just a vanity metrics game.

The Quality Content Formula

Your Expertise (Content Library)  + Your Voice (LinkedIn Styling)  + AI Speed (Postiv AI Agent) = Authentic Content That Drives Results

Best Practices

Keep your Content Library fresh: The more relevant content you upload, the more your AI agent has to work with.

Update your styling regularly: As your messaging evolves, update your authority statements and content principles.

Review before posting: We believe in human-in-the-loop content creation. The AI gives you 90% - you add the final 10% that makes it perfect.

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