When to disclose AI in your ads: a practical guide for B2B teams

AI now touches almost every piece of B2B marketing content, from first drafts to product imagery to chat assistants on landing pages. That raises a question many teams haven't formally answered: when should you tell your audience AI was involved?

What's happening

Marketing Brew reports that the Interactive Advertising Bureau (IAB) has updated its AI Transparency and Disclosure Framework, first released in January. The update reflects new or maturing rules on AI disclosure in New York, California, South Korea and the European Union.

The IAB's position is to favour targeted disclosure over universal labelling. It suggests disclosing when AI use materially affects authenticity, identity or representation in ways that could mislead. Examples include AI-generated images and video, some synthetic voices, avatars, digital twins of real people, and AI chatbots or assistants. Advertisers can use a standardised sparkle icon or a text label.

The framework also lists uses that may not need a label, such as routine post-production, internal workflows, clearly fantastical imagery and text or copy. Caroline Giegerich, the IAB's VP of AI, told Marketing Brew the concern is AI use that goes unlabelled and deceives consumers. She acknowledged the regulatory picture changes so quickly the guidance will need ongoing updates.

What it means for B2B and technology marketers

The IAB's framework is US-based industry guidance, not Australian law. In Australia, the long-standing rule against misleading or deceptive conduct applies whatever tools you use. Still, the framework is a useful reference point, especially for brands running campaigns across several markets.

Copy is low risk; people are high risk. Using AI to draft a LinkedIn post or blog is unlikely to need a label under this guidance. Generating a "customer" who doesn't exist, an executive's voice or a testimonial-style video is a different matter.

Proof is where B2B gets exposed. B2B marketing leans heavily on case studies, customer quotes and product demonstrations. If AI imagery or synthetic people make results look more real than they are, that's exactly the kind of deception the IAB is warning about.

Chatbots count. Many technology companies now run AI assistants on their websites. Making it clear users are talking to AI is both good practice and increasingly expected.

Trust is a selling point. For AI companies and Microsoft partners selling AI solutions, how you handle your own AI use is a visible test of your credibility.

How to put it to work

1. Inventory your AI use. List where AI touches your marketing: copy, imagery, video, voice, translation, chatbots, personalisation and analytics.
2. Sort by risk. Group uses into "no label needed" (drafting, editing, internal work), "label" (synthetic people, voices, realistic imagery, chatbots) and "don't do" (fake customers or fabricated results).
3. Write a one-page policy. Set out what your team labels, how, and who approves exceptions. Keep it short enough that people actually read it.
4. Protect customer proof. Use real customers, real quotes and real screenshots in case studies. If you use AI to illustrate a concept, say so.
5. Label your chat assistants. Make it obvious when a website or event chatbot is AI, and offer a route to a person.
6. Check each market. If you advertise into the US, EU or Asia, confirm local requirements with legal advisers. Review your policy at least twice a year.
7. Brief agencies and freelancers. Make sure partners producing content for you follow the same rules.

How UBE Marketing can help

UBE Marketing, a Sydney marketing agency founded by Alvin Paronda, uses AI in its own work and helps clients set sensible rules for it. We help B2B technology companies and not-for-profits use AI in marketing responsibly, from content workflows to practical governance. Explore our AI marketing services or contact us to set up a policy that fits your team.