A common worry is that a blog written with AI will be punished in search. I understand it. I build a tool that drafts posts, so I had to get this answer right for myself. This post is how I read the public guidance and how I apply it.
The tool is not the test
Google has a public page of guidance on using generative AI content on a website. It does not ban that content. Its concern is quality and value for the reader.
So the question is not “was this written with AI?”. The question is “does this help the person who searched?”. A useful post written with help from a model can do well. A useless post written entirely by hand can do badly.
What does get a site in trouble
The same guidance draws a line. Using AI tools to generate many pages without adding value for users may break its spam policy on scaled content abuse.
In practice that means mass producing pages nobody needs. Hundreds of thin posts on every phrase a tool can find, with no checking and no real value. That was a bad idea before AI existed. AI only made it cheaper to try.
What “helpful” means to me
I do not have a secret formula. I use a few plain checks before I publish:
- Does the post answer the question in its title?
- Would I be happy to have found it myself?
- Does it contain something from real experience, not only general facts?
- Is everything in it true, as far as I can check?
If a post passes those four, I do not worry about how the first draft was made. For the last check I use the routine in how I fact-check an AI draft.
Experience is the hard part to fake
A model can explain a subject. It cannot have done the work.
The posts I am most confident in are the ones where I add what I have actually seen. A choice I made and why. A mistake and what it cost. That layer comes from me, and I add it in the edit. It is also the reason I want a draft based on my own posts and not on the average of the internet.
Volume needs a limit
I keep my publishing pace modest on purpose. I explain how I choose it in how often you should publish a blog. A site that suddenly publishes far more than a person could plausibly review is taking a risk, and its readers can tell too.
This is why Sastras has a weekly cap on drafts and a fit score for every idea. The goal is a steady flow of posts that belong on the site, not the largest number possible.
My position
I use AI to draft, and I am comfortable saying so. I check the facts, I add my own experience, and I only publish what I would sign.
Rules and ranking systems change, so I do not treat any of this as permanent. The principle has stayed the same for years, though. Write for the reader first.
What I would do first
Pick the last post you published with help from AI and run the four checks above on it. If it fails one, fix that post before you write the next. One honest review teaches more than any guide about ranking.