AI-Assisted Content Policy Template for Publishers

An AI-assisted content policy is a short written document that tells your team where AI tools may be used, how their output must be verified before publication and what readers are told. If you publish a blog, a newsroom-style site or a company content hub where writers use AI tools, the policy turns "use it carefully" into rules a new contributor can follow on day one.

Short answer: build the policy from five clauses (permitted uses, verification and an editor gate, disclosure, limits on data and images, records and accountability). Allow AI for research and structure, require a human to verify and rewrite anything drafted by a tool, and forbid mass-produced pages that add nothing for readers.

This is not legal advice.

Why a written policy beats good intentions

Habits diverge faster than teams grow

With two people, "be careful with AI" feels like a policy. Add a third contributor and the phrase fractures: one person asks a tool for headline ideas, another asks it to write a full draft, a third pastes a client email into a chat window. A written policy settles which of those is allowed, which needs an editor's permission and which is off limits. It is also the document a new writer reads first.

The second reason is accountability. When an error is published, "the tool wrote it" does not answer the reader. The policy states in advance that every published text has a human who verified it and who answers for it.

What it is not

The policy is an internal working rule, not the notice shown to readers. How and when to tell readers is a separate decision, and the policy only fixes who decides and what the threshold is. It is also not a quality scorecard; for that, see the helpful content guidelines and article quality scoring table.

Where this sits among related topics

General practice for AI-written drafts and human editing is covered in AI-written articles and human editing. A buyer of writing services has a different angle, described in the editor review checklist for AI-assisted article services. Here the reader is the publisher who needs a written rulebook.

What Google's documents give you to build on

Generative AI is not banned

Google's page on using generative AI content (Opens in a new tab) says generative AI can be particularly useful when researching a topic and when adding structure to original content. The same page warns that generating many pages without adding value may violate Google's spam policy. The line therefore runs through how the output is used, not through the tool.

Manual review before publishing

The page explains that models do not retrieve facts; they predict a likely sequence of words from training data, so outputs can contain hallucinations. It says it is critical to manually fact-check and review all AI-generated content for accuracy and trustworthiness before publishing, and it extends the same review to title elements, meta descriptions, structured data and image alt text because they can appear in search results.

Scaled content abuse and scraping

Google's spam policies (Opens in a new tab) define scaled content abuse as many pages generated for the primary purpose of manipulating search rankings and not helping users. Listed examples include using generative AI tools to generate many pages without adding value, and stitching or combining content from different web pages without adding value. The scraping section describes republishing content from other sites without adding original content or value, or even citing the original source. These definitions map directly onto a "forbidden uses" list. Google's wording can change, so confirm against the live page before you adopt it.

Who made it and how

The helpful content page (Opens in a new tab) asks whether the use of automation, including AI generation, is self-evident to visitors through disclosures or in other ways, and suggests adding such information when it would be reasonably expected. It also asks about bylines and treats made-up authorship as deception. These two points feed the disclosure and accountability clauses.

The anatomy of a one-page policy

Practical suggestion: keep the document to a single page, use the imperative and give each clause one owner. Google's documentation has no required section list, so adjust the clauses to your site.

Clause one: purpose and scope

Template wording you can adapt:

This policy applies to everyone who prepares text, headlines, meta descriptions, image alt text or social copy for this site, including freelancers and guest contributors. Use of an AI tool at any stage of preparation is covered.

Three details matter. It names the people bound, it lists the outputs covered and it includes any stage of preparation. Naming contributors from outside the team matters because a guest author who uses a tool does not transfer responsibility away from the publisher.

Clause two: green, amber and red uses

Sort uses into three classes. Green needs nothing beyond the verification step. Amber needs editor permission. Red is forbidden.

AI tools may be used for research, outline suggestions and language review. Output may not be published until a human author has rewritten it, checked each claim against its source and recorded the check. Using tools to produce pages in bulk without value for readers is prohibited.

Clause three: verification and the editor gate

What gets verified

Because Google's page extends the review to meta descriptions, structured data and alt text, the policy should too. Every text element that a tool touched goes through the gate, not only the body copy.

The steps

1. Mark sentences that state facts: numbers, dates, names, product features, places, and anything about health or safety.
2. Find a primary source for each and open the page to confirm the sentence.
3. Remove any claim without a source, or hand it to the editor marked "source not found".
4. Open every link, citation and quotation the tool supplied. If the page does not exist or does not say that, discard it.
5. Compare titles, descriptions and alt text with what the page actually says.
6. The editor writes a sign-off note: what was checked, what changed, which version.

Any text that involved an AI tool must be checked by a human editor for facts, sources, language and links before publication. No post goes live without the editor's sign-off note.

Tool-supplied sources and quotes

Models predict likely wording, so a tool may name a book, study or article that does not exist. Add two lines to the policy: every tool-supplied link is opened and its claim located, and every quotation is copied from the original source, not from tool output. Source formats are in citing sources in articles.

Clause four: disclosure

This clause records your team's threshold for telling readers and says who writes the note. Google's helpful content page frames disclosure as a suggestion, not a mandate.

When a tool produced the body of a text, the page carries a short note describing how it was made. The byline names the person who verified the text and answers for it.

Clause five: inputs, images and metadata

What never goes into a tool

List the data types that must stay out of AI tools. Practical suggestion: readers' or clients' identity and contact details, passwords and access keys, unpublished contracts and prices, and embargoed material. Google's documentation does not prescribe this list; it comes from your own risk review.

Do not enter personal data, credentials or unpublished commercial information into AI tools. When in doubt, enter nothing and ask the editor.

Images and their metadata

Google's page names image alt text as something to verify and recommends adding image metadata. For ecommerce, it says Merchant Center policies require AI-generated images to carry IPTC DigitalSourceType metadata with the value TrainedAlgorithmicMedia. That requirement concerns product images; the page does not impose it on blog illustrations. A policy line such as "AI-generated images are recorded and, where possible, marked in metadata" is a sensible, low-cost rule.

Higher scrutiny for safety and health statements

Not every sentence carries the same risk. A tip about folding clothes to save drawer space does not need the depth of a claim about cleaning chemicals, medication storage or electrical safety. Let the policy tie such statements to a second-reader rule: a tool-assisted sentence on safety or health is checked against its source by the author and again by a second editor. Google's helpful content page says informational pages should be factually accurate, and the policy turns that into a plain rule: no safety statement without a source.

Short copy counts too

Scope should cover social posts, newsletter intros and headline variants. Short texts invite the thought that a quick glance is enough, and the verification step gets skipped. A wrong date or an inflated promise in a one-line post travels fast. Practical suggestion: ask for the same sign-off note on short copy, kept to a single line.

The volume line: when is it scaled content abuse?

The spam definition turns on purpose and value, not on the tool. Practical suggestion: require a one-sentence reader benefit for every new page. If the sentence cannot be written, the page does not ship.

Contributors, agencies and onboarding

Guest authors and agencies can break a policy they have never seen. Add two questions to your brief or submission form: did you use an AI tool, and if so for what? The answer sets how deep the editor goes. Share a one-page summary of the rules rather than internal notes. A declaration does not replace verification; an author who says "no tools" still gets the full fact and source check.

For new team members, run a short exercise in week one: read the policy, mark two green uses and one red use in a real draft, and fill in the production note on the first piece. Seeing the rule on their own text teaches more than a slide deck.

Records, accountability and review

The production note

Accountability

The byline shows who stands behind the text. A tool is never listed as the author, and no invented author or expert is used. Google's page treats fabricated authorship as deception. For building out author information, see how to build an author page for E-E-A-T.

Breach and review

State the consequence in one sentence: the piece is pulled, the editor reviews it, the correction is made and the record updated. Put a version and a date on the policy. Tools and Google's documents change, so set a review date; the interval is your decision, as Google's documentation gives none.

Decision rule: classifying a use

1. Does the tool only support text a human writes (search, outline, language check)? Green.
2. Does the tool produce part of a text or an image? Amber, with the editor gate.
3. Does it produce pages in bulk, copy others or invent sources? Red.
4. Does the input include personal data, credentials or confidential business material? Stop.
5. Does the output change what readers would reasonably want to know about how the content was made? Apply the disclosure clause.

Worked example: a minimalist living blog

Example scenario: A minimalist living blog has two regular writers and a part-time editor. The blog covers decluttering routines, small-space storage and slow-purchasing habits. One writer has started asking a tool to produce full drafts from a topic title; the other uses it only for outlines.

The publisher writes a one-page policy. Outlines, topic research and spell checks become green. Drafting a section becomes amber: the writer rewrites it and attaches the sources. Producing several near-identical "ten ways to declutter" pages is red, because those pages would add nothing for readers. Pasting a reader's email into a tool to draft a reply is also red.

In the first month, the editor's notes show that a tool-drafted paragraph cited a study on household clutter that could not be found. The sentence was removed. A second draft contained a product claim with no source, which the writer cut. Two articles whose bodies were largely tool-drafted received a short note about how they were made, and the byline named the writer who rewrote and verified them. After a quarter, the publisher reads the notes, sees which uses needed the heaviest correction and updates the amber list.

What a policy cannot do

A policy governs behavior; it cannot guarantee search results. The spam definition attaches to purpose and value, and Google's documentation makes no promise about rankings for sites that adopt a policy. A policy also does not replace compliance with the laws that govern personal data, copyright or advertising.

Misreadings of the policy

Three misreadings come up when teams adopt a policy. First, "the tool wrote it, so the error is the tool's." Responsibility stays with the editor and the byline. Second, "the tool can be the verifier." A tool's own output cannot serve as the source for itself; verification needs an independent page. Third, "rewording makes it original." Feeding another site's text to a tool and publishing the rewrite comes close to the scraping example in Google's spam policy, which describes republishing content from other sites without adding original content or value. That is why the template lists it as red.

A short orientation note for the team handles all three: the policy exists so that readers can trust what is published, not to catch writers out. A policy presented as a shared standard invites honest production notes; one presented as a control invites box-ticking.

Phasing it in

Practical suggestion: in month one, enact only the use classes and the data limit. In month two, add the editor gate and the sign-off note. In month three, add the disclosure threshold and the image record. Phasing keeps the policy from feeling like a wall.

Keeping policy and record apart

The policy says what the rule is; the production notes show how it was applied. Keep them in separate places. The policy changes a few times a year and fits on a page, while the notes grow with every article. Put a change line at the end of the policy stating who changed which clause and why.

Policy checklist

• One page, versioned and dated.
• Green, amber and red uses written down.
• Verification covers body, titles, meta descriptions and alt text.
• Editor sign-off note required before release.
• Disclosure threshold and owner defined.
• Data types that never enter a tool listed.
• Rule for AI-generated images recorded.
• Byline shows a real, accountable person.
• Breach steps and review date written.

Quarterly review prompts

A policy that is never reopened drifts away from the way the team really works. Practical suggestion: put a short review on the calendar every quarter and let one person own it. The owner brings the production notes from the previous months and asks a few plain questions.

• Which tool uses appeared in the notes that the policy does not mention?
• Did any draft reach the editor with a source that could not be opened?
• Did a contributor ask where a rule is written, and could the answer be found in under a minute?
• Does the list of inputs that never go into a tool still match the folders and files the team handles?
• Have any tools been added or dropped since the last review, and does the amber list reflect that?
• Is the sign-off name on every published piece a person who actually checked the text?

Write the outcome into the change log in a sentence or two. For a small living blog, the review can take fifteen minutes and still catch the drift that otherwise shows up months later as an inconsistent piece.

Frequently Asked Questions

What sections should an AI content policy have?

Google's documentation has no required list. Practical suggestion: purpose and scope, permitted and forbidden uses, verification and an editor gate, disclosure, limits on data and images, and records.

Does Google ban AI-generated content?

Google's generative AI page says the tools can be useful for research and structure. It also says generating many pages without adding value may violate its spam policy.

How do I verify AI output before publishing?

Mark the sentences that state facts, open a primary source for each one and remove any claim you cannot confirm. Google's page says the same review applies to titles, meta descriptions, structured data and alt text.

Must I tell readers whenever AI was used?

Google's helpful content page suggests adding disclosures where readers would reasonably expect them and does not present this as a mandate. Set a threshold in your policy. This is not legal advice.

Can I trust the sources an AI tool provides?

Google's page says models predict likely wording instead of retrieving facts, so output can contain hallucinations. Open every link and quotation the tool supplies and confirm it on the source page.

When should the policy be reviewed?

Google's documentation gives no interval. Practical suggestion: put a version and date on the policy and review it when tools or Google's documents change, or when your records show repeated breaches.

Conclusion

An AI-assisted content policy does not ban tools; it defines their use. Allow research and structure, require humans to verify and rewrite anything a tool drafts, forbid bulk pages and invented sources, and keep a note for every piece. Write it on one page, date it and review it when tools or Google's documents change. This is not legal advice.

If you want a team to apply a policy like this to your content program, the content writing service page lists the options.