How to humanize an AI-written blog post
Take a position. AI blog drafts are balanced to the point of saying nothing — they list considerations rather than arguing. Pick a side, say what you would actually do, and keep one specific number or example per section. Balance is what makes AI writing forgettable.
Typical length · 1,000–2,000 words. Writer or Studio depending on volume. · Last reviewed 16 August 2026
Before and after
Before
There are many factors to consider when choosing a project management tool. Different tools offer different features, and the right choice depends on your specific needs and requirements.
After
Most teams under ten people do not need a project management tool. They need one shared document and someone willing to update it. The tools start earning their cost at about the point you stop being able to name everyone's current task from memory.
A non-statement became a claim with a threshold attached. It is now something a reader can agree or disagree with, which is the only way a post gets remembered or linked to.
Balance is the failure, not the goal
A model asked to write about a contested topic will produce something even-handed, because even-handedness is what the training data rewards and what avoids being wrong. The result lists considerations, notes that it depends on your needs, and commits to nothing.
That reads as competent and is unreadable in the specific sense that there is nothing to remember and nothing to disagree with. Nobody links to a post that says it depends, because there is no claim to link to.
The rewrite above takes a position — most teams under ten do not need the tool — and attaches a threshold: about the point you stop being able to name what everyone is working on. A reader can now agree, disagree, or test it against their own team. That is the whole difference.
A threshold is worth more than an opinion
Opinions are cheap to generate and easy to hedge. What a model almost never produces unprompted is a number attached to a boundary — the team size, the word count, the point at which the trade-off flips.
Thresholds do two things at once. They make a claim falsifiable, which is what makes it worth reading, and they are hard to write without having actually thought about the subject, which is why they survive as a signal of expertise.
If you are editing an AI draft and can only do one thing, find the sentence that says it depends and replace it with the condition it depends on.
What Google actually says about AI content
This is the anxiety that drives most searches on this subject, and the position is narrower than the panic. A Google spokesperson told Gizmodo: "It's inaccurate to say Google penalizes websites simply because they may use some AI-generated content", adding that low-value content produced at scale to manipulate rankings is spam "however it is produced".
Read carefully, that is a statement about value and intent rather than about production method. The thing being penalised is scaled, low-value output; the method is explicitly not the criterion.
Which means the editing described above is the actual work, and running a draft through a rewriter to change how it reads addresses none of it. A post that takes no position is low-value whether a person or a model failed to take one.
Rewriting should not damage the structure
Long-form posts carry navigation that prose rewriting tends to flatten: headings that say what a section contains, lists where the content is genuinely a list, and a first paragraph that tells a scanning reader whether to continue.
Rewrite the prose inside sections and leave the scaffolding alone. If a pass returns headings that have become clever rather than descriptive, put the descriptive ones back — a heading is a signpost, not a sentence.
The one structural edit usually worth making is cutting the introduction. AI drafts open by announcing what the post will cover, which a heading already did and which delays the first useful sentence by a paragraph.
Formats with the same problem
LinkedIn posts — the short form of the same template problem, recognisable in a second and a half.
Product descriptions — where generated copy recreates the duplicate-content problem it was adopted to solve.
Questions
- Does Google penalise AI-written blog posts?
- Not for being AI-written. A Google spokesperson told Gizmodo it is "inaccurate to say Google penalizes websites simply because they may use some AI-generated content", while describing low-value content produced at scale to manipulate rankings as spam "however it is produced". The criterion is value and intent, not production method.
- What is the single most useful edit to an AI blog draft?
- Find the sentence that says it depends and replace it with the condition it depends on. A threshold — a team size, a word count, the point where a trade-off flips — makes the claim falsifiable and is the thing a model least often produces unprompted.
- Should I rewrite the headings too?
- Usually not. Headings are navigation, and rewriting for voice tends to make them clever rather than descriptive. Rewrite the prose inside sections and leave the scaffolding — if a pass returns headings a scanning reader cannot use, put the originals back.
- Can a rewrite give a post a point of view?
- No, and this is the limit of every tool in this category including ours. A rewrite changes how a position sounds; it cannot supply one you do not hold. Decide what you actually think before editing, or the polished version will say nothing more confidently.
What to watch for
- A rewrite cannot supply an opinion you do not hold. Decide the position first.
- Keep headings scannable — rewriting for voice should not make structure worse.
If your writing gets flagged
Rewriting for rhythm and specificity tends to lower detection scores, because that is what detectors read as human. It is not a guarantee — detectors disagree with each other and change without notice, and we do not promise a result from any of them.