Roughly 400 million people now ask ChatGPT questions every week, and Brussels just decided that’s too many to leave unregulated. The European Commission’s decision to classify ChatGPT under the Digital Services Act as a Very Large Online Search Engine (VLOSE) isn’t a bureaucratic footnote. It’s a signal that AI answer engines are now subject to the same scrutiny as Google Search, and brands building visibility strategies around them need to pay attention now, not after the first enforcement action lands.
The Designation, Decoded
The DSA sets thresholds. Any platform reaching 45 million or more monthly active users in the EU gets labeled a Very Large Online Platform (VLOP) or, in search-specific cases, a Very Large Online Search Engine. Google Search, Bing, and now ChatGPT fall into the latter category. That status triggers obligations around transparency reporting, systemic risk assessments, algorithmic disclosure, and independent audits that smaller tools simply don’t face.
For marketers, the practical upshot is this: ChatGPT is no longer just a chatbot brands optimize content for informally. It’s a regulated information gateway, legally comparable to a search engine, and subject to oversight from regulators who have already fined Meta and TikTok billions over adjacent compliance failures (see our coverage of the Meta settlement fallout for a sense of scale).
If regulators treat ChatGPT like a search engine, brands should treat it like one too: with the same disclosure discipline, citation hygiene, and risk documentation they apply to organic search and paid media.
Why Brussels Put ChatGPT in the Same Bucket as Google
The logic isn’t complicated. People increasingly skip Google entirely and ask ChatGPT for product recommendations, brand comparisons, and purchase advice. eMarketer’s research on AI-assisted discovery has tracked this shift for several quarters, and it’s accelerating faster than most media planners expected. When a tool functions as a search engine in behavior, regulators argue it should be governed as one in law.
That reasoning matters for brand strategy because it confirms what performance marketers have suspected for a while: AI answer engines are now a discovery channel with real commercial weight, not a novelty. Statista’s usage data shows AI chat tools climbing steadily in share of voice for product research queries, particularly among younger, higher-income consumers, the exact demographic most influencer programs are built to reach.
What Changes for Brands Overnight?
Nothing changes overnight, legally. The DSA designation obligates OpenAI, not advertisers or agencies, to build risk assessments and transparency reports. But indirectly, this shifts the ground under every brand’s organic AI visibility strategy in three ways.
- Citation accuracy becomes a compliance issue, not just an SEO one. If ChatGPT is legally treated as a search engine, the sponsored content it surfaces or references needs the same disclosure rigor FTC rules already demand elsewhere.
- Algorithmic transparency reports may expose how creator content gets ranked or cited. Brands running influencer campaigns optimized for AI mentions could see new visibility into why certain creators surface and others don’t.
- Audit trails matter more. Regulated search engines face documentation requirements. Brands that can’t show how AI-surfaced claims about their products originated will struggle if a regulator or plaintiff comes asking.
We’ve already seen this pattern play out with AI answer engines and sponsored content. Our earlier reporting on AI answer engine citation gaps flagged that most brands have no process for tracking when a chatbot surfaces a creator’s sponsored claim without proper labeling. The DSA designation makes that gap a regulatory liability, not just a reputational one.
Disclosure Rules Don’t Disappear, They Multiply
Here’s the uncomfortable part. Brands have spent two years building disclosure compliance programs around TikTok, Instagram, and YouTube creator posts, aligning with FTC guidance and state-level AI disclosure statutes. Now the same scrutiny extends to how AI tools summarize, cite, or paraphrase that content. If ChatGPT pulls a product claim from a sponsored post and presents it as neutral advice, who’s accountable: the creator, the brand, or the platform?
The honest answer right now is “unclear,” which is exactly why smart legal and marketing teams are getting ahead of it. The IAB’s AI attribution standard is the closest thing the industry has to a pre-launch checklist for this problem, and it’s worth building into campaign briefs now rather than retrofitting later.
State-level rules compound this. Several U.S. states have already passed AI disclosure statutes that require clear labeling when content is AI-generated or AI-summarized, a patchwork our state AI disclosure mapping breaks down in detail. Add the EU’s DSA obligations on top, and you’ve got a genuinely global compliance puzzle. Brands running cross-border creator campaigns can’t treat this as a single-market problem anymore.
A sponsored claim that’s properly disclosed on Instagram can still appear unlabeled when ChatGPT summarizes it, creating a compliance gap most legal teams haven’t mapped yet.
There’s also a quieter risk around AI-generated testimonials and summaries that sound authoritative but originate from paid content. Our piece on AI-generated testimonial disclosure gaps covers how the FTC has started scrutinizing this exact scenario, and the VLOSE designation only raises the stakes for ChatGPT specifically, since it now carries search-engine-level regulatory weight in the EU.
Building an AI-Ready Compliance Playbook
So what should a brand actually do this quarter? Start with an audit, not a panic.
- Map where your sponsored content appears in AI-generated answers. Run your top campaign claims through ChatGPT and competing tools, and document what gets cited, paraphrased, or dropped entirely.
- Update creator contracts to address AI summarization. Standard disclosure language written for social platforms doesn’t automatically cover how AI tools repackage that content. Legal teams should close this now, the same way they’ve had to with deepfake disclosure requirements.
- Build a lightweight monitoring cadence. You don’t need enterprise software for this yet. A monthly manual check against your top ten product queries is enough to catch early problems before they become a regulator’s problem.
- Loop in your agency partners on liability. If an agency manages your creator relationships, confirm who owns the risk if an AI tool surfaces undisclosed sponsored content. Our coverage of agency vicarious liability is a useful starting point for that conversation.
None of this requires a massive budget reallocation. It requires treating AI visibility with the same operational discipline brands already apply to traditional search optimization and paid social compliance. Platforms like Sprout Social and other listening tools are already building AI-mention tracking into their roadmaps, which suggests the industry sees this coming faster than most brand teams have budgeted for.
Keep an Eye on Brussels
The European Commission’s digital strategy office will publish ChatGPT’s first transparency report under the new designation within the coming months. That document will likely reveal, for the first time, how the model weighs and surfaces branded content, which is exactly the data marketers need to refine AI visibility strategy with evidence instead of guesswork. Expect copycat regulation in the UK and other jurisdictions to follow quickly once the EU framework proves workable.
The Bottom Line for Marketing Teams
Treat this designation as an early warning, not a distant policy update. The brands that win the next phase of AI-driven discovery will be the ones that built disclosure discipline into their creator and content programs before regulators forced the issue, not after.
Frequently Asked Questions
What does it mean that ChatGPT is now classified as a Very Large Online Search Engine under the DSA?
It means ChatGPT meets the EU’s user threshold for search-engine-level oversight, requiring OpenAI to conduct systemic risk assessments, publish transparency reports, and submit to independent audits, similar to obligations already placed on Google Search and Bing.
Does the DSA designation create new legal obligations for brands directly?
Not directly. The obligations fall on OpenAI as the platform operator. However, brands face indirect risk if AI tools surface undisclosed sponsored content tied to their campaigns, since existing disclosure laws still apply to that underlying content.
How should brands adjust creator contracts in response?
Add language addressing AI summarization and citation, clarify who is responsible if a chatbot paraphrases sponsored content without disclosure, and align contract terms with both FTC guidance and relevant state AI disclosure statutes.
Will other countries follow the EU’s lead on regulating AI search tools?
It’s likely. Regulators in the UK and several U.S. states have already signaled interest in AI transparency rules, and the EU’s framework gives them a practical template to adapt rather than build from scratch.
What’s the first step a marketing team should take this quarter?
Audit how your brand’s sponsored content currently appears in ChatGPT responses, document gaps in disclosure or attribution, and update creator and agency contracts to explicitly address AI summarization risk.
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