You publish AI-assisted content on your WordPress site. A client, a colleague, or a compliance officer asks: are we required to disclose that AI was involved in producing this? The honest answer is probably no, depending on where your readers are and what your content covers. But “probably no” is not a satisfying answer when the question keeps coming back. Here is what Google, the FTC, and the EU AI Act each actually require, what they do not, and where the correct answer is “no rule requires this.”
This is a practical AI content disclosure guide, not a legal opinion. If you need legal advice for your specific situation, talk to a lawyer. What follows is the published guidance from each framework, quoted and explained so you can make your own call.
What Google Actually Requires for AI Content Disclosure
No Google rule requires you to disclose AI involvement in your content. Google addressed this directly in their February 2023 guidance on AI-generated content. When asked “Should I add AI or automation disclosures to my content?” Google’s answer was: “AI or automation disclosures are useful for content where someone might think ‘How was this created?’ Consider adding these when it would be reasonably expected.”
Read that carefully. “Useful” is not “required.” “Consider adding” is not “you must add.” Google’s position is that disclosure can help readers understand how content was produced, but it is not a ranking factor or a policy requirement.
Google was even more direct about AI authorship specifically. When asked “Can I list AI as the author of content?” Google responded: “Giving AI an author byline is probably not the best way to follow our recommendation to make clear to readers when AI is part of the content creation process.” Note the framing. Google is saying that if you do disclose, listing “AI” as an author is a poor way to do it. They are not saying you must disclose at all.
What Google actually evaluates is content quality, measured through E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness. Their helpful content guidance asks whether content “demonstrates first-hand expertise and a depth of knowledge.” That bar applies whether a human wrote every word or AI drafted the first version and a human reviewed it. The production method is explicitly irrelevant to Google’s ranking systems.
The related concern is Google’s scaled content abuse policy, which we covered in detail in our scaled content abuse explainer. That policy targets content produced at scale without adding value, primarily to manipulate rankings. It does not target AI. It targets valueless volume. If your AI-assisted content is reviewed, enriched with original expertise, and published to help readers, it does not violate the policy, with or without a disclosure line.
Bottom line for Google: no rule requires AI content disclosure. Disclosure is a “consider it” suggestion, not a mandate. Your time is better spent ensuring the content actually demonstrates expertise than worrying about whether to label it.
What the FTC Requires for Endorsements and Advertising
The FTC regulates deceptive practices, not AI use. There is no FTC rule requiring you to disclose that AI helped write your blog posts, landing pages, or product descriptions. The FTC’s authority comes from Section 5 of the FTC Act, which prohibits “unfair or deceptive acts or practices.” The question the FTC asks is not “was AI used?” but “was the consumer misled?”
Two FTC frameworks are relevant here, and neither creates a general AI disclosure obligation.
The Endorsement Guides (16 CFR Part 255)
The FTC’s Endorsement Guides require disclosure of “material connections” between endorsers and sellers. If an endorser is paid, given free product, or has a business relationship with the company, that connection must be disclosed clearly and conspicuously. This rule has nothing to do with AI. It applies to influencer sponsorships, affiliate links, and paid testimonials. If you use AI to write a blog post about your own product, the “endorsement” is your own and the material connection is self-evident. No additional disclosure is required because of the AI.
The Consumer Reviews and Testimonials Rule
The Consumer Reviews and Testimonials Rule, which went into effect on October 21, 2024, bans fake reviews and testimonials. This is where AI intersects with FTC enforcement. The rule prohibits creating or selling reviews that misrepresent “that the reviewer or testimonialist exists” or “had experience with the product, service, or business.” AI-generated fake reviews, where a nonexistent “consumer” praises a product they never used, fall squarely within this prohibition.
The FTC addressed AI avatars directly in their guidance on the rule. Their position: the rule “has no blanket prohibition on the use of AI-generated avatars in marketing.” However, using an AI avatar in a way that implies a real person gave a testimonial could be deceptive under the FTC Act. If a reasonable consumer would think a real person endorsed your product and no real person did, that is a deception problem, not an AI disclosure problem.
Bottom line for the FTC: no rule requires you to disclose AI assistance in your content. The rules require you not to fabricate reviews, testimonials, or endorsements. If your AI-assisted blog post makes factual claims about a product you sell, the FTC’s concern is whether those claims are substantiated, not whether AI helped write them. If you use AI to generate fake consumer reviews, that is prohibited, and a disclosure line would not save you.
What the EU AI Act Says About Transparency
The EU AI Act’s transparency obligations under Article 50 took effect on August 2, 2026. These are the most specific transparency rules anywhere for AI-generated content, and they do create actual obligations. But the scope is narrower than most publishers fear.
Article 50 contains four transparency obligations. The one most relevant to publishers is Article 50(4), which requires deployers of AI systems to “clearly label” AI-generated or manipulated text that is published “with the purpose of informing the public on matters of public interest.” The European Commission’s guidelines specify that “matters of public interest” include public health, consumer safety, environmental protection, democratic processes, and economic, financial, political, scientific, or cultural developments relevant to public debate.
The Human Review Exception
Here is the critical exception. The labeling obligation in Article 50(4) does not apply if the text “has undergone a process of human review or editorial control” and there is editorial responsibility, meaning a natural or legal person holds ultimate legal responsibility for the publication. The Commission’s guidelines are explicit that “superficial, solely formal, or procedural checks (e.g., spell-checking or grammatical correction) are not considered to be human review or editorial control.” The review must be substantive, and the reviewer must have relevant knowledge and professional judgment.
What this means in practice: if you use AI to draft a blog post about public health policy, and a knowledgeable human reviews the substance, fact-checks claims, and has authority to approve, alter, or reject the text before it goes live, the Article 50(4) labeling obligation does not apply to that post. The human review gate is the exception that removes the obligation.
If you auto-publish AI-generated text about matters of public interest with no human review, the obligation applies. You would need to label the content as AI-generated, in a way that is “clear, distinguishable, and perceivable” at first exposure, without requiring the reader to take any action like clicking a link.
What Is Out of Scope
Two additional scoping points matter for publishers. First, advertising text is generally out of scope. The Commission’s guidelines list “AI advertising text” as out of scope, unless the advertisement contains claims related to public health, consumer safety, or other matters of public interest. A product description for a sofa does not trigger the obligation. A health claims page for a supplement might.
Second, the Article 50(2) obligation to mark outputs in machine-readable format applies to providers of generative AI systems, not to publishers. If you are using a third-party AI tool to generate content, the provider bears that obligation, not you. Your obligation as a deployer is limited to the Article 50(4) labeling requirement, and only when the exception does not apply.
Bottom line for the EU AI Act: if you publish AI-assisted content about matters of public interest and a human substantively reviews it before publication, the deployer labeling obligation does not apply. If you auto-publish without review, it may. Most WordPress publishers using an approval-gated workflow are within the exception.
Where Your Own Credibility Argues for Disclosure
No rule from Google, the FTC, or the EU requires you to disclose AI assistance in reviewed blog content. But rules are not the only consideration. Your credibility is.
Google’s E-E-A-T framework puts Trustworthiness last in the acronym but not last in importance. If a reader discovers that content they trusted was AI-generated and they were not told, the trust damage can be real. This is not a legal risk. It is a reputational one, and reputational risk does not need a regulatory hook to matter.
The question to ask is not “am I required to disclose?” but “would my readers feel deceived if they learned AI was involved and I did not mention it?” If the answer is yes, a one-line disclosure costs you nothing and protects the trust you have built. If the answer is no, because the AI involvement was minor (an outline, a meta description, a research summary), then disclosure may be unnecessary and even distracting.
Consider the context. A legal blog analyzing case law carries a different expectation than a product page describing a sofa. A health information site carries a different expectation than a recipe blog. The more your content touches on topics where readers rely on your expertise for consequential decisions, the stronger the case for transparency about how the content was produced.
This is a judgment call, not a compliance checklist. The honest framing: disclosure is optional in most cases, but the cost of a disclosure line is near zero, and the cost of a reader feeling misled can be significant.
What a Disclosure Line Should Say If You Use One
If you decide to add a disclosure, keep it accurate, specific, and human. The goal is to inform, not to perform. Here are three examples that work, depending on how AI was involved:
- For AI-assisted drafting with human review: “This article was drafted with AI assistance and reviewed by our editorial team before publishing.”
- For AI-assisted research with human writing: “AI tools assisted with research for this article. The analysis and writing are by [author name].”
- For substantial AI generation with editorial oversight: “Parts of this content were generated using AI tools and reviewed by [name/role] for accuracy before publication.”
Three Principles for Writing Your Own
- Be specific about what AI did. “Drafted with AI” is more honest than “AI-enhanced” or “AI-powered.” Say what actually happened.
- Name the human. If a person reviewed the content, their involvement is what makes the disclosure meaningful. “Reviewed by our team” is weaker than “reviewed by [name], [role].”
- Keep it to one line. A disclosure is not an essay about your AI philosophy. It is a factual statement about your production process.
Where to place it: at the end of the article, or in an author bio or methodology note. The FTC’s “clear and conspicuous” standard applies to advertising disclosures specifically, not to general blog content, but the principle is sound. If you disclose, make it findable, not buried.
Quick Reference: What Each Framework Actually Requires
| Framework | Requires AI disclosure? | What it actually targets |
|---|---|---|
| No | Content quality (E-E-A-T); scaled content without value, regardless of production method | |
| FTC | No (for general content) | Deceptive practices; fake reviews, testimonials, and undisclosed material connections |
| EU AI Act Art. 50(4) | Only for unreviewed public-interest text | AI-generated text published without human editorial oversight on matters of public interest |
| Your own credibility | No rule, but a judgment call | Reader trust; the gap between what was disclosed and what a reader would reasonably expect |
Notice the pattern. Every framework is concerned with deception, not with AI. Google asks whether your content adds value. The FTC asks whether your claims are truthful. The EU AI Act asks whether a human took responsibility for what was published. None of them asks whether you used AI, full stop. They ask what the AI output does to the reader.
This is why the approval gate matters across every framework. AI does the heavy lifting, you approve every post before it goes live. No surprises, no auto-published drafts, no brand damage from unreviewed output. That workflow satisfies Google’s quality bar, keeps you clear of FTC deception concerns, and places you within the EU AI Act’s human review exception. One workflow, three frameworks, one answer: the human review step is the compliance step.
Try ClearPost free for 7 days. AI does the heavy lifting, you approve every post before it goes live. No long onboarding, no agency overhead, cancel anytime.
Frequently Asked Questions
Does Google require me to disclose AI content?
No. Google’s guidance says AI disclosures are “useful” when someone might wonder how content was created, but “useful” is not “required.” Google evaluates content quality through E-E-A-T, not production method.
Does the FTC require disclosure for AI-assisted blog content?
No. The FTC regulates deceptive practices. If your content makes truthful claims and does not fabricate reviews or testimonials, there is no FTC requirement to disclose AI involvement.
Does the EU AI Act require me to label AI-generated blog posts?
Only if the content is published to inform the public on matters of public interest and has not undergone substantive human review with editorial responsibility. Most reviewed blog content falls within the exception and does not require labeling.
Should I disclose AI use even if no rule requires it?
That is a judgment call based on your audience and content type. If readers would feel misled learning AI was involved, a one-line disclosure costs nothing and protects trust. If AI involvement was minor, disclosure may be unnecessary.
What should an AI disclosure line say?
Be specific about what AI did, name the human who reviewed, and keep it to one line. Example: “This article was drafted with AI assistance and reviewed by our editorial team before publishing.”