How to write blog posts with AI without getting buried by Google

An AI wrote the first draft of this post. A checklist with 12 gates decided whether you'd ever get to read it.

That's not a confession, it's the whole point of this site. inaday.ai publishes AI-assisted articles every day, and Google has buried entire sites for doing that badly. So before we published anything, we researched what separates people who write blog posts with AI and rank, from sites that disappear, and turned it into a writing system. This post walks you through that system so you can copy it for your own blog today. Fair warning: the system's first job is to delete most of what the AI writes.

Can you really write blog posts with AI without Google burying you?

Yes, and Google says so itself: its ranking guidance rewards quality content "regardless of how it is produced," per Google Search Central. What gets punished is content made primarily to rank, not content made with a particular tool.

Here's the weird part. When Rankability scored 487 top-ranking pages on competitive keywords, 83% of them read as human-written. The same study documents a fully AI-generated page that got deindexed, then climbed back into the top 10 only after a human rewrite.

So both things are true at once. AI-written posts are allowed. Posts that read like AI keep losing. That gap between "allowed" and "reads like AI" is where this entire tutorial lives.

What you need

You need three things: an AI chatbot, one document that defines your voice, and a morning to set the system up. Any of the major chatbots works, free tier included. After setup, expect a couple of hours per post.

No plugins, no detector subscriptions, no "undetectable AI" tools. Those attack the wrong problem.

Step 1: give the AI a voice before you give it a topic

The single biggest anti-slop move is a style guide the AI loads before every draft, with a banned-word list at its core. Our house style bans 21 words and openings, and yes, they're the ones you're picturing: "delve," "seamless," "unlock," "robust," "game-changer," plus every opener that starts with "In today's digital landscape." One punctuation mark is banned outright: the em-dash, the clearest AI fingerprint there is.

Version one of our style guide was terrible. It was two lines ("write casually, be helpful") and the drafts came back sounding like every AI blog you've ever closed after one paragraph. The guide only started working when it got specific: banned words, sentence rhythm rules, and a named author with fixed quirks who writes in first person.

Here's a starter prompt you can adapt. See for yourself what it does to your next draft:

You are drafting a blog post in my voice. Rules that override everything else:
1. Banned words: delve, seamless, unlock, unleash, robust, elevate, game-changer, leverage (as a verb), cutting-edge, revolutionize. Never use an em-dash.
2. Never open with a scene-setting line about technology or "today's world". First two sentences: the concrete result and who it's for.
3. Write at a 7th-8th grade reading level. Use contractions. Vary sentence length; after two long sentences, write a short one.
4. Every section heading is a question or mini-answer, and the first sentence under it answers it directly.
5. When you don't know a fact, write [CHECK] instead of guessing.

That last rule matters more than it looks. An AI that's allowed to say "I don't know" stops inventing statistics you'll later have to retract.

Step 2: make it say something the top three results don't

Before drafting anything, read the top three posts ranking for your keyword and force one thing into your outline that none of them have. For this post, I checked the top results for "write blog posts with AI": tool landing pages and the same five tips, everywhere. None of them were written by a site betting its existence on the method.

Our rule is that every article needs one real finding: a test we actually ran or a fact we verified at the source. SEO people call this information gain, the measure of whether your page adds anything to what's already ranking. Google's spam systems are built to spot pages that add nothing, and our own research on the 2026 landscape found that's exactly the pattern that gets affiliate-style AI sites buried after every spam update.

I learned this the visual way with AI product photos: the output only stopped looking generic once I fed it something real from my side of the screen. Text works the same. The AI drafts, but the one thing worth reading has to come from you.

Step 3: cut like an editor who hates AI patterns

The cut pass is a separate round, after drafting, where you hunt the patterns that make 83% of ranking pages read human and your draft read machine. Draft, walk away, then cut. Four moves, in order:

1. Delete the first and last sentence of every paragraph. If the paragraph still works (it usually does), keep the cut. AI loves throat-clearing openers and summary closers.
2. Search the text for your banned words and for the em-dash. Rewrite every hit, don't just swap the word.
3. Replace every vague quantity with an exact one. "Several studies show" becomes "one study of 487 pages found."
4. Read the intro and the ending out loud. Wherever you stumble, split the sentence.

The draft before the cut pass is usually fine, technically. It's also a stock photo of a blog post: correct, smooth, and instantly forgettable. The cut pass is where it starts sounding like someone.

The 12-check gate, and why a human still reads everything

Every post on this site scores itself against 12 checks before a human sees it, and nothing publishes without a human saying yes. The checks include: does the intro deliver the result in two sentences, does every heading answer itself immediately, are there at least three exact numbers, at least two things we actually did or verified, zero banned words, and does it pass the "would you send this to a friend" test.

The human gate isn't ceremony. It's the difference the ranking data keeps pointing at: AI-assisted content with real human editing performs close to human-written content, while raw output sinks. To see this at full speed, read how this site publishes 60 articles a month with exactly this pipeline.

When this doesn't work

Skip this system for topics where you can't supply the experience yourself. AI can't fake having done the thing, and Google's quality raters are trained to look for firsthand experience. Three cases where I wouldn't use it:

Medical, financial, or legal advice. These "your money or your life" topics get held to a higher evidence bar, and a young AI-assisted blog loses that fight. Original reporting, because there's nothing to report if nobody did anything. And pure opinion pieces, where an AI-shaped take is worse than no take.

For everything else (tutorials, comparisons, experiments, reviews of things you genuinely tried), the system holds up.

Would I let AI write my posts again?

I do, every day. But I've stopped thinking of the AI as the writer. It's the fastest first-draft machine ever built, attached to a taste vacuum. The style guide, the one real finding, and the cut pass are the taste. That part stays yours.