What is an AI content detector?
An AI content detector reads a piece of writing and estimates how likely it is to be AI-generated.
It does not have a magic answer. Instead, it looks for patterns that show up a lot in AI text, then adds them up into a score.
This tool gives you a 0 to 100 risk score plus the exact signals behind it. You see why, not just a number. You can check raw text, raw HTML, or a full page URL, so it works on a draft and on a post you already published.
Why AI content detection matters now
AI writing tools are everywhere. That is fine, but it changes the bar. When anyone can spin up a thousand words in seconds, the writing that stands out is the writing that sounds like a real person who knows the topic.
Detectors help in three common spots. Editors and agencies use them to spot lazy, unedited drafts before they ship. Teachers and hiring managers use them to gut-check work. And SEO teams use them to make sure their pages do not read like the thin, generic content search engines have learned to demote.
A score on its own is not the point. The point is what you do next: find the weak spots and fix them so the page earns trust from both readers and machines.
How AI content detectors work
The best detectors do not rely on a single trick. This one blends three layers.
- Stylometrics. Math on the writing itself, like sentence-length variation and word choice.
- A forensic AI model. An AI reads the text the way an expert editor would and explains what it sees.
- A redundancy scan. It looks for templated, near-duplicate passages that AI tends to repeat.
Each layer is weak on its own. Stylometrics alone can flag a careful human writer. A forensic model alone can be fooled by a quick edit. Stacking them, then showing you the evidence, is what makes the result worth trusting.
The signals that reveal AI writing
One signal that shows up almost every time is rhythm.
Here are the main signals this detector checks, and the quick fix for each.
| Signal | What it means | Quick fix |
|---|---|---|
| Low burstiness | Sentences are all a similar length | Mix short and long sentences |
| AI vocabulary | Over-used words like delve or tapestry | Swap in plain, specific words |
| Generic claims | "Studies show" with no real source | Cite a real number, study, or name |
| No first-hand experience | Nothing shows you did the thing | Add a result or anecdote only you have |
| Templated structure | Every section follows the same shape | Vary the structure, add original detail |
These line up with what researchers see too. Burstiness and perplexity, the two stats behind tools like the original GPTZero, both measure how predictable and how even the writing is. Human text is messier, and that mess is the tell.
Words that make text look AI-written
Some words are over-represented in AI writing. On their own they prove nothing, but a pile of them is a strong tell. Words like delve and tapestry are classic examples.
Do not just search and delete them, though. The fix is to say the same thing in plainer, more specific words. If you find yourself reaching for "leverage," ask what you actually mean, then write that.
Are AI detectors accurate?
Here is the honest answer: no detector is perfect.
Human writing can look AI-like, and lightly edited AI text can look human. Even OpenAI retired its own classifier for being unreliable. So treat any score as a guide, not a final verdict.
That is why this tool shows the evidence behind the score, the exact phrases and patterns it flagged, instead of asking you to trust a black box. A score with reasons is something you can act on. A score with no reasons is just a guess.
Does Google penalize AI content?
Not for being AI by itself.
Google has said it rewards helpful content however it is made. The trouble is that mass-produced AI content is often thin and generic, and that is what its helpful-content and spam systems catch.
So the same signals a detector flags often line up with what Google quietly demotes. Want to see how a page stacks up beyond the text? Run a free AI SEO audit.
How to make AI content sound human
You do not have to throw the draft away. You have to make it yours.
- Mix short and long sentences so the rhythm is not flat.
- Cut the over-used AI words and empty intensifiers.
- Replace vague claims with specific numbers and named sources.
- Add first-hand experience: a result, a mistake, a detail only you know.
- Read it out loud and fix anything that sounds like a template.
That last layer, real experience, is the hardest thing for AI to fake and the easiest way to win readers.
Before and after
Here is the same idea written two ways. Notice how the second one adds a number, a source, and a real detail.
In today's digital landscape, it's important to note that running shoes play a crucial role. Studies show that the right pair can significantly enhance your performance and elevate your experience.
I ran 600 miles in 40 pairs this year. The right shoe shaved about 20 seconds off my mile, and a 2023 Journal of Sports Sciences study backs that up. The wrong one gave me shin splints by week two.
Frequently asked questions
- What is an AI content detector?
- An AI content detector reads a piece of writing and estimates how likely it is to be AI-generated. It looks for patterns that show up often in AI text, like even sentence rhythm, over-used words, and generic claims with no real source. This tool gives you a 0 to 100 risk score plus the exact signals behind it, so you can see why, not just a number.
- How does an AI content detector work?
- Good detectors use more than one method. This one combines three. First, stylometrics measure things like sentence-length variation and word choice. Second, a forensic AI model reads the text the way an expert would. Third, a redundancy scan looks for templated, near-duplicate passages. Blending the three is more reliable than any single trick.
- Are AI content detectors accurate?
- No detector is perfect, and you should treat any score as a guide, not a verdict. Human writing can look AI-like, and edited AI text can look human. That is why this tool shows the evidence behind the score, the exact phrases and patterns it flagged, so you can judge for yourself instead of trusting a black box.
- Can Google detect AI content?
- Google does not try to label every page as AI or human. Instead, its helpful-content and spam systems look at whether the page is useful, original, and trustworthy. A lot of low-effort AI content fails those tests, which is why the same signals a detector flags often line up with what Google quietly demotes.
- Does Google penalize AI content?
- Not for being AI per se. Google has said it rewards helpful, people-first content however it is made. The problem is that mass-produced AI content is often thin, generic, and lacks first-hand experience, and that is what gets caught. Use AI to draft, then add real expertise, sources, and lived detail.
- How do I make AI content sound human?
- Mix short and long sentences, cut over-used AI words, and replace vague claims with specific numbers and named sources. Most of all, add first-hand experience: a result you got, a mistake you made, a detail only you would know. That experience is the hardest thing for AI to fake and the easiest way to pass both detectors and readers.
- Can an AI content detector check a URL or only pasted text?
- Both. You can paste raw text, raw HTML, or a full page URL. When you give it a URL, the tool fetches the page, pulls out the main article text, and runs the same checks. That makes it easy to test a published post, a competitor's page, or a draft you have already shipped, without copying and pasting it first.
- Is this AI content detector free?
- Yes. You can run a set number of checks per day with no login. A free account unlocks the full detector, including the semantic-redundancy scan that flags templated passages, a humanize fix-plan with concrete rewrites, downloadable reports, and an API.