Your Marketing Agency Uses AI. Who Is Responsible for Content – and Who Owns It?

7 hours ago

5 min read

Three people in an office looking at computer monitor.

Your agency delivers a new campaign for your review – really fast – complete with long-form deliverables, a multi-touch nurture, social media ads and posts, and website copy. You review and approve it, and everything looks great —but you may be wondering where all of the creativity and content came from. Did the talented professionals at the agency create all of it themselves, or did they get some help from AI?

It’s more than likely they had some help. Now woven into our everyday workflows, generative AI is an enormously helpful tool for conducting research, writing outlines and rough drafts, and iterating on copy and images. Using it benefits both the hiring company and the agency, saving time and costs, and often improving quality.

However, using AI for content generation also complicates the client-agent relationship. In the past, the process was governed by clear expectations about who creates, approves, and owns the work. If AI helps produce the final deliverable, those lines can blur:

Who is responsible if the content is inaccurate or infringes someone else's intellectual property?
Does the client own AI-generated work in the same way it owns traditionally created content?
What should an agency disclose about its use of AI?

As marketers increasingly leverage AI as a creative productivity tool, answering these questions is essential to maintaining trust between agencies and clients.

The Agency Is Still Responsible

AI can assist in creating the deliverable but, ultimately, the responsibility for it still resides with the agency. Any inaccuracies cannot be blamed on AI, because it’s simply a tool that creative professionals use to enhance and accelerate their work. They, not the AI, have the final say on what to include in the final piece.

AI can introduce factual errors, invent sources for statistics, make problematic claims, or use language that’s inconsistent with a client's brand and messaging. Even today’s most advanced models make can hallucinate —rates currently range from around 1% to over 80% in certain high‑risk domains.

That’s why humans are and always will be an essential part of the workflow. They must be meticulous fact checkers to ensure statistics and sources are accurate. They are responsible for aligning copy and design with brand standards and company guidelines. And, they are vital for ensuring originality and infusing the creative output with the right tone and style. Dismissing missteps with “That’s what the AI generated” doesn't absolve responsibility.

Who Owns AI-Generated Marketing Content?

Ownership is another sticking point. Let’s take a closer look at how using AI is raising copyright and ownership questions.

Human Authorship Matters for Copyright

Under U.S. copyright law, human authorship is required for copyright protection; you can’t copyright purely AI-generated content. Human-created portions of AI-assisted work may be protected if they reflect sufficient creative expression.

This means how agencies and their clients use AI matters. Using AI to assist a copywriter, designer or other creative professional is very different from relying on AI to generate a finished deliverable, with little or no meaningful human input or oversight.

The Difference between Ownership, Copyright and Permission to Use

AI can also obscure the meaning of “ownership.” An AI provider may allow an agency to use the content its tools generate, and the agency may then transfer its rights to that work to the client. But having the right to use or own a deliverable doesn't necessarily mean every part of it is protected by copyright.

That distinction can have real implications –—you may be free to publish and use AI-assisted content without having exclusive copyright protection over all of it. Agency contracts should make clear what rights the client has, particularly when AI plays a significant role in creating the work.

What If AI-Generated Content Creates an IP or Legal Problem?

Just like when an unskilled creative professional steals or plagiarizes content from an existing resource, AI without oversight can duplicate existing content and images, because it’s using them as source materials.

AI models are trained on existing books, articles, photographs, artwork, websites, code, and other content, and many authors and artists have challenged whether their copyrighted works can be used in this way legally. It’s an ongoing debate —but the more immediate issue is whether or not AI-assisted output infringes on someone else’s copyright.

For example, an AI tool could generate marketing copy that is substantially similar to an existing article or an image containing protected creative elements from someone else's work. If the client publishes that material, they may be using someone else’s copyrighted work.

If an infringement claim occurs after a piece is published, who assumes the risk? Clients and agencies need to make responsibility and ownership expectations clear in their contracts, instead of assuming traditional copyright rules cover every scenario.

5 Best Practices for Using AI-assisted Marketing Content

It’s safe to say that most agencies are tapping into the generative power of AI to help them produce high-quality work faster and more cost-effectively. While you don't necessarily need to know every time your agency uses AI to brainstorm a headline, summarize research, or polish a blog, here are some essential guidelines we recommend:

Transparency: Your agency should disclose when and how it uses AI to generate content, designs, graphics, or other creative elements used in deliverables.
Human oversight: Qualified creative professionals should always be a core part of the workflow, reviewing any AI-generated content for accuracy, quality, brand alignment, and potential legal risks or non-compliance with corporate policies.
IP safeguards: Ask how your agency ensures AI-generated content isn't too similar to existing content. That might include plagiarism or similarity checks for written content, or reverse-image searches for visuals. Most importantly, a human should be reviewing every piece thoroughly prior to publication.
Data protection: If the information is confidential, proprietary, or something you wouldn't hand to a stranger, don't put it into an AI tool unless your company has specifically approved that use. The convenience of AI isn't worth compromising information you have a responsibility to protect.
Contractual clarity: Agency agreements should spell out who owns AI-assisted work, what rights transfer to you as the client, and who is responsible for potential IP or legal issues.

Following these best practices will help boost your confidence around the use of AI and ensure it’s adding value —not risk —to the content creation process.

Embrace AI in Marketing, Responsibly

There’s a lot to be said for using AI in marketing —it’s helping teams create and refine content faster, personalize campaigns at scale, and get more value from existing assets. It simplifies and automates repetitive tasks like summarizing research or interview transcripts, while giving marketers more time to focus on strategy and creative decision-making.

However, while AI offers numerous benefits, it can also create tension around ownership and accountability if there’s a lack of clarity about how and when it’s used, and how it’s governed.

At ETMG, our transparent approach to using AI enables clients to embrace its benefits while keeping human expertise and accountability at the center.