News generation on subscription · newsrooms, blogs and companies

Does Google penalize AI-generated content?

Not because it is AI. According to Google's guidance on AI-generated content, using AI does not violate its policies by itself: what gets punished is content at scale, created mainly to manipulate rankings with no value for the reader, whether a person or a machine wrote it. What protects a site is review, verifiable sources, a voice of its own and transparency.

Who it's for

Anyone who publishes, or plans to publish, content made with the help of AI and wants to reduce ranking risk.

Who it's not for

Anyone looking for a guaranteed position on Google. No tool can promise that; this guide shows what reduces risk, not a shortcut.

How to do it with Naito

  1. Keep a human in the loop

    In Settings, choose between publishing everything straight through, holding back only low-confidence articles (the default for new accounts) or approving each one. According to industry analyses of the August 2026 spam update, the pattern hit hardest was fully automatic publishing with no review at all.

  2. Check the source of every claim

    In the review queue, each claim in the article points to the exact source sentence that backs it. You verify before you approve, not after you publish.

  3. Grow gradually

    A site that jumps overnight to maximum volume repeats the sudden-growth pattern. Start on a smaller plan and scale up as the site builds a track record.

  4. Give context on how the text was made

    If you like, turn on the optional AI-use notice: it describes how the content was created and only says it was reviewed when the article really went through the queue. It is off by default, and the wording is yours.

  5. Label the AI-generated image

    The AI-generated cover image ships with the IPTC metadata that marks it as algorithmically created media, as Google recommends, plus an illustrative-image caption.

Why it works better this way

  • Review and proof of source set survivors apart

    The pattern that stayed standing was human checking before publishing, images made for the story and gradual growth. That is exactly what the review queue, claim-to-source provenance and tiered plans make possible.

  • Every site gets a different text

    Naito synthesizes several independent sources instead of rewriting just one, and picks a different editorial angle per client. In internal tests, this cut similarity between clients by about 22–23% through synthesis and a further ~13% through the angle.

  • Corrections with a history

    When the source changes, the update goes through the same review. Each corrected article keeps what it said before, the reason and the date.

Frequently asked questions

Common questions about this guide

Is writing with AI against Google's rules?

According to Google's guidance, no. The policy targets mass-produced content with no value for the reader, regardless of who wrote it.

Does Naito guarantee a good ranking?

No. No tool guarantees a position. Naito reduces known risks (publishing without review, generic text, unlabeled images) and delivers the technical SEO ready.

Do I have to tell readers I used AI?

Google recommends giving context about how content was created but does not require it. Naito's notice is optional and off by default; you decide whether to use it and with what wording.

Does the image metadata survive in WordPress?

The original file keeps the metadata. The resized versions WordPress generates may lose it, but the caption stating the image is AI-generated stays visible.

Try Naito free for 7 days

No credit card. Generate your first articles and decide afterwards.