Rewritten August 2026. This page previously promoted a specific paid tool for generating content cheaply. That was not useful advice, and the economics behind it have changed completely — the underlying models are now available directly for a fraction of what such services charged. This version explains what you actually get for a small budget, and the one risk that makes cheap bulk content a bad investment.
“AI-written content for $20” services were everywhere in 2023 and 2024. The pitch was volume: hundreds of articles for the price of one freelance piece. Two things have changed since, and both matter if you are considering one.
What changed
The middleman is largely gone
Those services were wrappers around models you can now use directly. ChatGPT, Claude and Gemini all have free tiers and paid plans around $20 a month, and their APIs cost cents per article at consumer volumes. Paying a reseller for access to a model you can reach yourself is money for a slightly nicer text box.
Google’s position hardened
This is the part that actually matters, and it is not a rumour or a rule of thumb — it is written policy.
Google’s spam policies target scaled content abuse: generating many pages primarily to manipulate search rankings rather than to help people. The policy is deliberately indifferent to how the pages were produced. AI, human writers, or a combination — the question is whether the content exists for readers or for rankings.
A site that publishes hundreds of thin, generated articles is the exact shape that policy describes. The outcome is not “it ranks a bit worse” — sites hit by scaled content abuse actions have lost effectively all of their search traffic, and recovery requires removing the content and waiting through a reconsideration process that takes months.
The same reasoning applies to advertising programmes. Google AdSense declines and removes sites for low-value, mass-produced content, and appeals on such sites rarely succeed.
What AI writing is genuinely good for
None of this means avoid the tools. It means using them where they help:
- First drafts when the blank page is the obstacle. You then rewrite it into something that reflects what you actually know.
- Outlines and structure from your own notes.
- Rewriting for a different audience or a shorter length.
- Summarising long source material you have read.
- Editing — catching the sentence that does not parse, the paragraph that repeats itself.
- Translation of content you wrote, which is usually better than dedicated tools.
The pattern is consistent: it is a good assistant to someone who knows the subject and a poor substitute for one.
What it is bad at, specifically
- Facts. Statistics, dates, names, prices, product specifications and citations are produced with complete confidence whether or not they are real.
- Anything current, unless the tool searches and cites.
- First-hand experience. It cannot have used the product, visited the place, or run the command — and readers notice the absence even when they cannot name it.
- Sounding like anyone. Unedited output has a recognisable register, and it is more recognisable every year.
If you are spending $20 on content
What that budget actually buys, in rough order of value:
- A ChatGPT, Claude or Gemini subscription and your own time editing. Best value by a wide margin if you know the subject.
- API access if you are comfortable with a little scripting — cents per article rather than a monthly fee.
- One properly researched article from a freelance writer who knows the field. Fewer, better pages outperform many thin ones, and that gap has widened.
- Nothing. Genuinely — publishing less is better than publishing filler, because filler drags down how the rest of the site is assessed.
Publishing AI-assisted content responsibly
If you do use these tools for published work:
- Verify every checkable claim. Every figure, date, name and link.
- Add what the model cannot have — your own testing, screenshots, specifics, the thing that went wrong when you tried it.
- Rewrite rather than lightly edit. The structure is usually the giveaway, not the vocabulary.
- Have someone who knows the subject read it before publishing.
- Publish fewer pages. Volume is the specific signal that attracts scrutiny.
Frequently asked questions
Does Google penalise AI-written content?
Not for being AI-written as such. Google’s stated position is that it rewards helpful content regardless of how it was produced. What it acts against is content generated at scale primarily to manipulate rankings — which is what most cheap bulk services produce.
Can Google detect AI text?
Detection is unreliable in both directions, and Google does not claim to be running a detector. Its systems assess quality, originality and usefulness — which catches thin generated content without needing to identify how it was made.
Are AI-content services a scam?
Not usually a scam in the fraud sense — they generally deliver what they promise. The problem is that what they promise is worth less than it appears, and the underlying models are cheaper to reach directly.
Should I disclose that AI helped write something?
Google does not require it. Some publishers, employers and academic institutions do — check the rules that apply to you. For anything where trust is the point, disclosure costs little.
What if I already have a site full of generated articles?
Assess them honestly. Improve the ones covering topics you genuinely know, with real detail and verified facts. Remove the rest — a smaller site of solid pages is assessed better than a large one carrying filler.
