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Hold every page on your site to one standard

Publishers should use an AI detector to enforce a written content standard across new and archived work. Agree what AI use you allow and what must be disclosed, check submissions with Winston AI at intake, and audit the archive in batches starting with high-traffic pages. Flagged pages go to an editor who decides to keep, revise, label or remove them.

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What publishers check

  • contributed articles
  • sponsored content
  • archived posts
  • product reviews
  • newsletters
  • syndicated content

Paste text or upload a .docx. Each report shows an overall score and a highlight on every sentence that reads as machine-written.

Key facts

  • Publishers can audit archived articles in batches through the Winston AI API while editors review only the flagged pages.

    Source: API

  • A flagged article needs an editor's read; some need a light rewrite or disclosure, others are fine as they stand.

  • Paid plans add shareable PDF reports, a plagiarism check and team workspaces.

    Source: Pricing

  • Winston AI reports whether text is likely machine-written; it does not name the model or product that wrote it.

    Source: AI Detector

What slows publishers down

  • A standard that lives in one editor's head

    Each desk has its own sense of what's acceptable. Without a written standard, a contributed article sails through one section and gets killed in another.

  • An archive nobody has checked

    Older pages, contributed posts and bought content may include machine-written text. You don't know how much, or where it is.

  • Reputation risk from one bad piece

    A single generic, error-filled article can get passed around as proof that a publication is cutting corners.

Publishers answer for everything under their name, from this week's features to articles posted years ago. Winston AI helps you set a content standard, check new submissions against it and audit your archive for machine-written text. Here is how to roll that out across desks and contributors without bringing publishing to a halt.

What a site-wide standard should cover

A standard turns a vague worry into decisions people can make on deadline. It should fit on one page and answer four questions.

  • Which uses of AI are allowed (research help, headline ideas, translation drafts, full articles) and which are not.
  • When readers should see a disclosure.
  • Who reviews flagged work and who makes the final call.
  • What contributors must provide on request: notes, sources, drafts.

Keep it short enough that freelancers will actually read it, and revisit it every few months as tools and habits change. Our publishers page has more on how Winston AI fits an editorial operation.

Running an archive audit

An audit is less about catching anyone and more about knowing what you publish. Pick a scope (a section, a date range, a contributor program), scan it, and sort pages into three piles: reads as human, a few flagged passages, mostly red. The last pile gets an editor's read first. Some of those pages will be fine, such as heavily templated listings or older pieces cleaned up with a grammar tool. Others may need a rewrite, a label or removal.

Shareable PDF reports help when a decision involves a contributor, a syndication partner or your legal team. Everyone looks at the same highlights instead of arguing from memory. Keep a simple log of each audit decision (page, outcome, editor) so you can answer questions about a page months later.

A review workflow for publishers

  1. Step 1: Write the standard first

    Decide what AI use you allow, what must be disclosed and who signs off. Share it with staff and contributors before you scan anything.

  2. Step 2: Check new work at intake

    Editors scan submissions as they arrive, with results kept in a shared team workspace so every desk works from the same record.

  3. Step 3: Audit the archive in batches

    Start with high-traffic pages and contributed content. For larger batches, the API lets your team run checks from your own tools.

  4. Step 4: Have an editor review every flag

    Flagged pages go to a person who reads the highlights, sourcing and author history before deciding to keep, revise, label or remove.

Questions from publishers

Still unsure? Browse our guides or ask our team.

How do we audit a large archive without stopping new work?

Start with your most visited and most at-risk sections, and work through the rest in batches. For bigger volumes, the API lets your team run checks from your own tools while editors review only the flagged pages.

Should we remove every article that gets flagged?

No. A flag means an editor should read it. Some flagged pages need only a light rewrite or a disclosure, and others are fine as they stand.

Can contributors see why their piece was flagged?

Yes, if you share the PDF report available on paid plans. It shows the sentence highlights, which makes revision requests specific instead of vague.

Does Winston AI tell us which AI tool a writer used?

No. It reports whether text is likely machine-written, not which model or product produced it. For editorial decisions, what matters is whether the piece meets your standard.

How other teams use it

Try it on the next piece you review

Paste the text, read the highlighted sentences, then decide what to ask next. Sign up free when you want to keep your reports.

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