By rsukhraj@hubspot.com (Ramona Sukhraj)

Like a hammer or even a hair dryer, AI is just a tool. It needs to be wielded skillfully by an expert to achieve greatness. And in a world increasingly full of “AI slop,” this is especially true when exploring how to use AI to write a blog post.

When using AI to write blog posts, you can’t just sit back and click copy-paste and publish. You need to create a thorough brief, build an outline, draft one section at a time, and then edit with the emotion, lived experience, and discernment only a human can.

Despite the popularity of AI-assisted content creation, 62.7% of marketers admit brands need more unique, human-centered content to compete. Google agrees, saying AI can help with research and structure, but you should fact-check and review everything by hand before you publish, as it can get facts wrong.

AI can produce quantity, no doubt, but its quality is up for debate — at least without your guidance. AI is wonderful for structure and first drafts, but only you can bring the expertise, voice, and final quality assurance that produces great content. And this guide will show you how.

You’ll get a five-step process for creating blog posts with AI, human-review checkpoints, prompt templates, and tips for keeping your voice and avoiding the “slop” label.

Table of Contents

• What is AI slop? (And why you want to avoid it)
• How to Use AI to Write a Blog Post in 5 Steps
• AI Prompts for Blog Posts You Can Copy
• Frequently Asked Questions About Using AI to Write a Blog Post
• Great content needs human and machine.

What is AI slop? (And why you want to avoid it)

Generative AI is powerful and useful. It can analyze information and produce materials faster than any human could by hand, which is likely why 80% of marketers now use AI for content creation in some form.

But I’d argue we’re crossing into “too much of a good thing” territory when it comes to generative AI, and I’m not alone. Our research shows that more than half of marketers say AI has made content creation so easy that they are now struggling to stand out in a heavily saturated market.

AI has also faced concerns around plagiarism, bias, data privacy, and inaccuracy for several years. Add its now-mainstream accessibility, and the formulaic output has earned an unsavory nickname, “AI slop.”

AI slop is low-quality, mass-produced digital content created using generative AI with little to no human input or creative thought. (I’m sure you’ve seen the fliers.)