
I Paid a Freelancer for Blog Posts — My SEO Consultant Said They All Read Like ChatGPT
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You open the Google Doc your freelance writer just delivered. Five blog posts, $300 each. You skim the first paragraph and something feels off. The words are technically correct. The structure is fine. But your SEO consultant leans over and says it plainly: "This reads like ChatGPT. We need to check before we publish."
Now you're staring at 7,500 words wondering how to actually answer that question — how can I tell if something is written by AI? And you're not alone. Marketing teams, editors, professors, and HR managers all end up here eventually.
What Actually Makes AI Text Detectable?
AI writing is detectable because large language models are optimized to produce statistically likely word sequences. They write what is most probable, not what is most authentic. The result is text that is competent, smooth, and nearly empty of genuine perspective.
Put simply: AI text covers everything and commits to nothing. It's the writing equivalent of a firm handshake from someone who doesn't remember your name.
Manual Signs to Look For Before Running Any Tool
Before you open a detector, read it like an editor. These patterns show up consistently in AI-generated text:
- Unbroken, perfect flow. Human writers trail off, restart, and vary rhythm. AI text reads like a press release — every sentence lands cleanly.
- Generic examples. AI defaults to hypotheticals: "imagine a small business owner" or "consider a student named Alex." Real writers reach for specific, real cases.
- No actual opinion. Does the writer ever say what they actually think? AI hedges constantly. "It depends on your goals" is a near-universal AI staple.
- Slightly stiff word choices. Not wrong — just a little formal. "Utilize" instead of "use." "Obtain" instead of "get." "Implement" where a human would just say "do."
- No second-guessing, no false starts. Humans doubt themselves in their writing. AI doesn't. Suspiciously clean copy is a signal worth taking seriously.
None of these are proof on their own. A polished human writer can trigger all of them. Treat your manual read as step one — not your final answer.
How AI Detectors Actually Work
AI detectors analyze statistical patterns in text. The two main signals are perplexity — how surprising each word choice is relative to what a language model would predict — and burstiness, which measures how much sentence length varies. AI text tends to score low on both. It's predictable and rhythmically consistent in ways human writing rarely is.
The full breakdown is in our explainer on how AI detectors work if you want the technical picture. Short version: these tools give you a probability score, not a verdict. Treat them accordingly.
Should You Actually Trust the Result?
Here's the catch. AI detectors have a known false positive rate. They sometimes flag writing by non-native English speakers, academics working in a formal register, or anyone whose natural style is structured and precise. The problem of AI detection false positives is documented and real — a high score is a reason to look harder, not grounds to act on immediately.
The smartest approach is triangulation. Run the text through WriteMask's free AI detector, try at least one other tool, and cross-reference both against your manual read. When three independent signals all point the same way, that's meaningful. When they conflict, hold your judgment a little longer.
What to Do Once You Have a Result
Your next move depends on who you are in this situation:
- If you're a content buyer: Go back to the contract. Most professional freelance agreements specify original, human-written work. A detection screenshot opens a conversation — it doesn't end one. Ask the writer to explain their process before drawing conclusions.
- If you need to use the content anyway: AI-generated text can be humanized before publishing. WriteMask rewrites AI content to pass detection checks with a 93% pass rate — useful when you're on deadline and need to salvage a deliverable without hurting your SEO standing.
- If you're checking your own writing: If you used AI tools to help with drafting and want to know how it reads before submitting, run it through the detector first, then use WriteMask to adjust anything that scores high. If you're in a situation where you need to actually demonstrate authorship, the guide on how to prove your writing is human covers that specifically.
The question of how to tell if something is AI-written almost never has a clean binary answer. It has a probability, a context, and a judgment call. The right tools help you make a better-informed one.