Use This 3-Point Checklist to Avoid AI Slop

AI has changed marketing!

It can help businesses research faster, generate ideas, write content, create variations, analyze information, and automate repetitive tasks. But there’s a growing problem. Everyone is starting to sound the same!

The more businesses rely on AI to create marketing content, the easier it becomes to produce content that is technically correct but strategically forgettable. That's what many marketers are now calling AI slop: content that is repetitive, predictable, generic, and lacking a meaningful point of view.

The problem isn't AI, the problem is using AI without enough human expertise, standards, or judgment.

Here are three practical ways you can address this problem.

1. Turn Your Editing Into an AI Rubric

One of the most useful ways to improve AI-generated content is to teach AI what you consider good. Start by collecting 10 to 20 examples of content you've personally edited. Compare the original versions with the final versions and then look for patterns.

What do you consistently remove?

What do you consistently add?

What makes the final version sound more like your brand?

You might discover that you regularly:

• Remove generic introductions

• Replace vague claims with specific examples

• Eliminate unnecessary buzzwords

• Add stronger opinions

• Make CTAs more direct

• Include real-world examples

• Simplify complicated language

Those patterns can become an AI editing rubric. Instead of simply telling AI to "write like me," you're giving it measurable standards for what good content looks like.

Your Three-Point Checklist

When reviewing AI-generated content, ask:

1. Is it specific?
Does it contain concrete examples, data, experiences, or observations?

2. Is it differentiated?
Does it offer a perspective, insight, or idea that isn't easily reproduced by another brand?

3. Is it useful?
Does it help the audience understand something, solve a problem, make a decision, or take action?

If the answer is no to any of these, the content probably needs another round of human input.

2. Treat AI Output as a First Draft

One of the biggest mistakes marketers make with AI is publishing the first response. The workflow looks like this: Prompt → AI Output → Publish

That's a recipe for generic content. Instead, think of AI as your first-draft engine.

A better workflow is: Prompt → Draft → Human Feedback → Revision → Publish

The distinction is important. AI is extremely useful for getting ideas onto the page quickly. But the first draft should give your marketing team something to work with, not something to publish automatically. This is where human expertise becomes critical.

• Add the customer story.

• Add the lesson your team learned.

• Add the opinion your competitors aren't willing to express.

• Add the proprietary data.

• Add the real example.

• Add the experience that AI cannot simply pull from a generic prompt.

The goal isn't to make AI content "sound human." The goal is to make AI-assisted content sound like your organization.

3. Build Smaller, Specialized AI Tools

Another mistake is trying to make one AI tool responsible for everything. Instead, create smaller AI workflows designed around specific marketing tasks.

For example, you could build an:

SEO Content Reviewer
Designed to evaluate search intent, topical relevance, expertise, originality, and usefulness.

Landing Page Reviewer
Designed to evaluate positioning, messaging, differentiation, proof, and conversion opportunities.

LinkedIn Content Editor
Designed to identify weak hooks, generic language, lack of perspective, and unnecessary jargon.

Email Marketing Reviewer
Designed to evaluate clarity, relevance, value propositions, and calls to action.

The more specific the job, the easier it becomes to establish standards for success, and hat's an important principle for AI marketing: Specificity creates better systems.

The Bigger Opportunity With AI Marketing

The real opportunity isn't using AI to produce more content, it’s using AI to scale what makes your marketing unique.

Your company's expertise, customer knowledge, proprietary data, case studies, experiences, opinions, and brand perspective are valuable inputs.

AI can help organize, expand, repurpose, and distribute those inputs. But it shouldn't replace them. That's especially important as AI continues changing how people discover information.

When customers ask ChatGPT, Gemini, Perplexity, or other AI-powered search tools for recommendations, generic content has less opportunity to stand out.

You need information that’s useful, specific, credible, and differentiated. That means your competitive advantage isn't simply having access to AI.

Everyone increasingly has access to AI, your advantage is knowing what to tell it.

The New AI Marketing Formula

The future of AI marketing isn't: More AI + More Content = Better Marketing It's: Human Expertise + Clear Standards + AI + Human Judgment = Better Marketing

Before you publish your next piece of AI-assisted content, run it through the three-point checklist:

Is it specific?

Is it differentiated?

Is it useful?

If you can consistently answer yes, you're doing something very different from simply asking AI to create more content. You're building an AI-powered marketing system around what your business actually knows, and that's where AI becomes much more valuable.

Don't use AI to sound like everyone else. Use AI to amplify what makes your marketing worth paying attention to.