The tool gives you permission, not ownership
The question usually appears the first time someone asks whether a competitor could lift your new service pages word for word. The honest answer is uncomfortable: for text and images a model produced on its own, there is often nobody who can stop them.
European copyright law protects works that reflect a person’s own intellectual creation. Output a model produced from a prompt, without meaningful human shaping, does not meet that test, so it falls outside protection. Nobody owns it: not you, not the tool maker, not the agency that used it. What the generator gives you instead is contractual permission. Its terms of service decide whether you may use the output commercially and on which conditions, and those terms differ between providers and change over time, so keep the version that applied to your project.
This does not make AI content useless. It moves the protection somewhere else. Copy that a person has restructured, sharpened and checked, a structure that matches how your customers actually buy, your photographs, your references, your brand voice: a competitor cannot take those from you. The paragraph the model produced in one pass is the weakest part of the page, and it is worth treating it that way.
The expensive risk is someone else’s rights
The output can arrive carrying other people’s rights. A model can reproduce a protected passage, generate an image that resembles an existing work, or write copy that quotes a brand you have no relationship with. Commercial permission from the tool does not shield you from the original rights holder: that permission sits between you and the provider, not between you and the rest of the world. The fastest route to a complaint is a recognisable person or logo in a generated visual.
It can also carry claims you cannot support. A confident sentence about an award you never won, a certification you do not hold, a guarantee your contract does not include or a statistic nobody measured is not a copyright problem. It is a false statement published under your name, and it costs the same to fix whether it was written by an intern or a model.
Both risks share one cause. The tool optimises for output that reads well, not for output that is true or cleared. Review is where those two properties get added, and skipping it means publishing on the assumption that fluent means safe.
Since August 2026, the labelling question has a concrete answer
The transparency rules already apply. The transparency obligations of the EU AI Act have applied since 2 August 2026. On a business website the duties that matter are narrow but specific: a visitor chatting with an AI assistant on the site has to be told they are talking to a machine, synthetic audio, image or video presented as real has to be labelled, and AI-generated text published to inform the public on matters of public interest without a person holding editorial responsibility has to be disclosed.
Most marketing copy is not in that net. Copy drafted by a tool and then read, corrected and published by a named person is precisely the case the exemption is written for, and assistive work such as spellcheck, grammar correction or translation triggers nothing either. Content generated before 2 August 2026 does not have to be labelled retroactively.
One deadline still moves. Providers of generative systems already on the market have until 2 December 2026 to add machine-readable marking to their outputs, while systems placed on the market after August must carry it from the start. That obligation sits with the tool makers rather than with you, but it explains why the images and documents you download will increasingly arrive already tagged.
What to settle before publishing
Keep the terms and a record of use. Which tool, which plan, which dates, what was generated and what was written by a person. The document that answers a question two years from now is the one you saved at the time.
Make one person responsible for publication. A named reviewer who reads, edits and signs off every page. That single habit produces three results at once: the human authorship that gives the content protection, the editorial responsibility that keeps the publication out of the disclosure duty, and a filter for claims nobody can stand behind.
Separate generated text from real proof. Photos, references, numbers, certificates and prices should come from the business and be verifiable. Proof is also the part a competitor cannot copy, so it doubles as your protection.
Write the rights into the contract. When an agency or a freelancer builds the site, the contract should say who holds which rights to the text and images, whether AI tools are used in the process, and what you receive at the end. Ask plainly: if the generated paragraphs are not protected, what is? The honest answer is the editing, the structure, the brand assets and the documentation that comes with the project.
Label what visitors actually interact with. If the site answers questions through an AI assistant, say so where the conversation happens, and label synthetic media where it appears. A missing notice on an interactive AI is the real compliance gap; a disclaimer under every paragraph is theatre.
How iDoWeb handles content rights in a build
We treat AI output as a draft with no standing until a person has shaped it. Tools and dates are recorded for every project, one named person sits in the publish path, and the rights to text and images are settled in the contract before the work starts rather than after a dispute.
For a business owner the summary is short: keep the tool terms, keep one person responsible for what goes live, keep your own proof, and put the rights in writing. That is what turns fast generated text into content you can stand behind, and it is a few hours of care instead of a costly correction later.
Related service: Web design and content strategy