How to Detect AI-Generated Content (And Why It Matters)

AI content is everywhere. Some of it is good. Most of it is slop. Here''s how to spot the difference—and why detection matters for content quality, not catching cheaters.

Morgan Hvidt
By Morgan Hvidt ·

You're reading a blog post. Is it written by a human? AI? Both?

Does it matter?

It matters if the content sucks. If it's generic, hedging, and says nothing specific. If it wastes your time with corporate-speak and buzzwords.

AI detection isn't about catching people who used ChatGPT. It's about quality control. Spotting content that looks helpful but delivers nothing.

Here's how to detect AI-generated content—manually and with tools—and what to do about it.

Why AI Detection Matters for Content Teams

You're not the content police. You don't need to flag every piece of AI-assisted writing on the internet.

But you do need to know when your own content sounds like it came from a generic AI prompt. Because readers can tell. Google can tell. And both will punish you for it.

The stakes:

  • SEO rankings drop when Google identifies low-value AI content
  • Reader trust erodes when everything sounds like a corporate press release
  • Conversion rates tank when content doesn't speak to specific pain points

AI detection tools help you maintain quality standards. They're a sanity check before you publish. They catch content that technically answers questions but actually helps no one.

Manual Detection: Patterns That Scream "AI"

You don't need a tool to spot most AI content. The patterns are consistent.

The Hedge Parade

AI loves to hedge. "May help improve," "can potentially enhance," "might contribute to."

Why? Because AI is trained to avoid being wrong. The result is content that commits to nothing.

AI example: "This strategy may help improve your results and could potentially lead to better engagement."

Human example: "This strategy cuts content production time in half."

Spot the difference? Humans make claims. AI suggests possibilities.

Buzzword Bingo

"Leverage," "optimize," "streamline," "cutting-edge," "innovative," "game-changing."

These words sound impressive. They mean nothing specific.

AI uses buzzwords because they're statistically likely to appear in "good" content. But stacking buzzwords doesn't create value—it signals the absence of substance.

Test: Can you replace the buzzword with a specific action or outcome? If not, it's filler.

Formal Transitions Everywhere

"Furthermore," "moreover," "additionally," "subsequently," "in conclusion."

AI learned to write from academic papers and formal articles. It thinks these transitions make content sound authoritative.

Humans skip most of them. We use "and," "but," "so." We start sentences with "Here's why" or "The result?"

Count the formal transitions. More than one per 200 words? Probably AI.

Vague Authority Claims

"Studies show," "experts agree," "research indicates"—with zero citations.

AI generates confident claims backed by nothing because it can't actually cite sources (or it hallucinates them).

Humans either provide real citations or skip the authority claim entirely. "In my experience" or "we've found" signals human perspective.

The Gerund Opener

Every list starts with "-ing" words:

  • Understanding your audience
  • Developing your strategy
  • Implementing best practices
  • Measuring your results

It's the AI equivalent of elevator music. Technically correct, completely forgettable.

Humans mix it up. We use imperatives ("Start with"), questions ("What drives engagement?"), or declarative statements ("Your audience doesn't care about features").

Repetitive Structure

AI loves patterns. Every section follows the same format:

  1. Statement of importance
  2. Three sub-points
  3. Brief summary
  4. Transition to next section

It's eerily consistent. Like content generated by... an algorithm.

Humans vary structure. Some sections are short. Others go deep. We add examples, skip obvious points, circle back to earlier ideas.

Using AI Detection Tools

Manual detection works for obvious cases. But when you're reviewing dozens of pieces or checking your own work, you need tools.

Our Free AI Content Detector

We built a free AI content detector because we needed one that actually works for content marketers.

How it works:

  1. Paste your content
  2. Get an AI probability score (0-100%)
  3. See which sections are most likely AI-generated
  4. Get specific feedback on AI patterns detected

What the score means:

  • 0-30%: Likely human-written or heavily edited AI
  • 30-60%: Mixed content with some AI patterns
  • 60-85%: Mostly AI-generated with light editing
  • 85-100%: Pure AI output with little to no human input

The tool analyzes:

  • Sentence structure patterns
  • Word choice diversity
  • Transition usage
  • Hedging frequency
  • Perplexity (how predictable the text is)
  • Burstiness (variation in sentence length and complexity)

Try it: AI Content Detector

What to Do With Flagged Content

Found content scoring 60%+ AI? Don't panic. Don't delete it. Fix it.

The rewrite checklist:

  1. Remove hedge words - Change "may help" to "helps" or delete it
  2. Replace buzzwords - Use specific actions instead of "leverage" and "optimize"
  3. Simplify transitions - "Furthermore" becomes "and" or gets cut entirely
  4. Add specific examples - Replace generic advice with real scenarios
  5. Vary sentence structure - Mix short punchy statements with longer explanations
  6. Insert your perspective - Add opinions, stance, point of view

Then run it through the detector again. Aim for under 40%.

What Detection Tools Can't Tell You

AI detectors measure patterns. They can't measure value.

A 90% AI score doesn't mean bad content. It means generic patterns. If the content delivers genuine value with specific advice, the score matters less.

A 10% AI score doesn't guarantee good content. A human can write vague, unhelpful garbage just as easily as AI.

The goal isn't to hit a specific score. It's to create content that's specific, helpful, and sounds like your brand.

The Better Approach: Write Human From the Start

Detection is reactive. You write content, then check if it sounds like AI, then fix it.

Better approach: Make it harder for AI to generate slop in the first place.

Give AI Your Brand Context

Generic AI tools start from zero every time. They don't know:

  • Your brand voice and values
  • Your target audience's specific problems
  • Your unique perspective or approach
  • What makes your content different

So they default to generic corporate-speak.

The fix: Use AI tools that maintain brand context.

CopyJump's brand profiles feed your brand voice, audience insights, and messaging frameworks into every AI interaction. The AI doesn't guess who you are—it already knows.

The result? Content that sounds like you wrote it. Because it's informed by your brand from the first word.

Use AI as a Draft Tool, Not a Publisher

AI is great at getting words on a page. Terrible at making those words matter.

The workflow:

  1. AI generates rough draft based on your brand context
  2. You rewrite for substance and specificity
  3. AI helps polish and catch errors
  4. You make final judgment calls

Humans stay in the loop. AI handles mechanical parts. You handle parts requiring judgment.

Learn to Humanize AI Content

Sometimes you inherit AI content. A freelancer used ChatGPT. Your old blog is full of generic posts. You published something before you knew better.

Our AI humanizer tool rewrites AI content to sound more natural. But the real fix is understanding what makes content sound human:

  • Specific examples over vague advice
  • Strong declarative statements
  • Varied sentence structure
  • Contractions and conversational tone
  • Opinion and perspective
  • Short paragraphs (2-4 sentences max)

Read our guide: How to Humanize AI Content

Detection Is Quality Control, Not Policing

We're not trying to catch people using AI. We use AI ourselves.

The goal is raising the quality bar. Making sure AI-assisted content is actually helpful, not just technically accurate.

AI detection helps you:

  • Spot generic patterns before they go live
  • Maintain consistent brand voice across content
  • Train your team to recognize quality issues
  • Establish standards for AI-assisted content

It's a tool for improvement, not punishment.

The Real Question Isn't "Is It AI?"

The real question is: "Is it helpful?"

AI content can be genuinely good. We've seen it. We help teams create it.

But good AI content requires:

  • Brand context fed into every prompt
  • Human judgment at every step
  • Specific expertise and perspective
  • Editing for voice and substance
  • Quality standards before publishing

Generic AI produces generic results. AI informed by your brand produces content that sounds like you—because it's guided by your voice, values, and perspective.

Run your content through our AI detector. See what scores high. Learn to spot the patterns. Then fix them before you publish.

The internet has enough AI slop. Your content can be better.


Want AI content that doesn't need "humanizing"? CopyJump builds your brand voice into every draft so AI-assisted content actually sounds like you. Plus get access to our AI Content Detector and AI Humanizer tools. Start free.