Anthropic Claude Skills Marketplace: A New AEO Surface for B2B SaaS
EU DMA, DOJ, CMA, and FTC actions are converging on one outcome — mandated citation transparency. AEO operators have eighteen months to rebuild the playbook.
By Lukas Weber, European Fintech · May 25, 2026
Antitrust AI search rules are arriving: EU DMA, US DOJ, UK CMA and FTC actions will force citation transparency. The AEO playbook for 2027.
Frequently Asked Questions
How will the EU Digital Markets Act apply to AI search assistants in 2026?
The European Commission opened a formal market investigation in March 2026 to determine whether ChatGPT, Gemini, and Microsoft Copilot meet the DMA's gatekeeper thresholds for core platform services. The Commission has signaled that generative AI assistants integrated into existing gatekeeper products — Google Search, Windows, iOS — will be designated by the end of 2026, with compliance obligations taking effect by mid-2027. Designation triggers three obligations directly relevant to AEO operators. First, gatekeepers must not self-preference their own services in AI-generated answers. Second, gatekeepers must provide business users with the data their content generated during the answer-construction process. Third, gatekeepers must allow third parties to challenge ranking or citation outcomes through a dispute-resolution mechanism. The practical effect is that AI assistants operating in the EU will be required to expose more of their citation logic than they do today, and AEO operators will gain auditable signals that currently do not exist.
What is the US DOJ investigating with regard to Google's AI search business?
The Department of Justice expanded its existing search monopoly case against Google in February 2026 to include conduct relating to AI Overviews and Gemini integration. The amended complaint alleges that Google leverages its search distribution agreements to entrench Gemini as the default AI assistant on Android devices and within Chrome, and that AI Overviews self-preference Google properties — Maps, Shopping, YouTube — at rates that exceed what neutral citation logic would produce. The remedy phase, expected to conclude by late 2027, may require Google to publish AI Overviews citation source distributions on a quarterly basis, to permit third-party measurement firms to audit citation neutrality, and to allow users to set non-Google AI assistants as defaults. AEO operators should treat the DOJ case as the most consequential single proceeding for AI search structure in the United States, because the remedies will shape the citation environment that publisher, SaaS, and commerce operators compete in through the rest of the decade.
What is the UK CMA doing about OpenAI, Anthropic, and the foundation model market?
The Competition and Markets Authority published its phase two findings on foundation models in April 2026, concluding that the AI assistant market in the UK exhibits structural features — high switching costs, default-driven distribution, vertical integration between model developers and cloud providers — that warrant ongoing intervention. The CMA designated OpenAI, Anthropic, and Google DeepMind with strategic market status under the new Digital Markets, Competition and Consumers regime in May 2026. Conduct requirements are expected to be published in Q3 2026 and may include mandatory citation source disclosure, prohibition of exclusive cloud agreements that foreclose competitor model access, and a requirement that AI assistants permit user-selectable citation policies. For AEO operators, the practical implication is that the UK will likely be the first major jurisdiction to enforce auditable citation transparency, ahead of both the EU and the US.
Will AI assistants be required to disclose how they choose citations?
Yes, in stages, beginning with the UK in 2027 and extending to the EU and likely the US by 2028. The CMA's draft conduct requirements include a citation transparency obligation that would require designated AI assistants to publish quarterly source-distribution reports, expose per-answer citation rationale to a dispute-resolution authority, and provide aggregated source-share data to third-party measurement firms. The EU's DMA framework is expected to layer similar requirements onto designated gatekeeper AI products. The US has no equivalent statutory framework, but the DOJ's remedy phase in the Google case may produce equivalent disclosure obligations under a consent decree. The effect for AEO operators is that the dark-pattern era of AI citation — where source selection logic is entirely opaque and measurement relies on third-party scrapers — will end. By 2028, citation distribution data will be a regulated disclosure, not a proprietary signal that only the assistant operators can see.
How should AEO operators prepare their content strategy for 2027 regulatory changes?
The single most important preparation is to treat citation defensibility as a primary content quality metric, alongside accuracy and freshness. Three operational changes matter most. First, source attribution within your own content must be rigorous — citing primary sources, dating claims, and naming the people behind the analysis. Regulators and the AI assistants they oversee will increasingly favor content that itself models good citation discipline. Second, structured factual claims — dates, prices, feature comparisons, performance benchmarks — should be encoded in extractable formats with stable URLs. The dispute-resolution mechanisms emerging from DMA and CMA frameworks will favor content that can demonstrate factual integrity. Third, build a regulatory monitoring function within your AEO team. The pace of rulemaking is accelerating, the divergence between jurisdictions is widening, and operators who treat regulation as a compliance afterthought will lose citation share to operators who treat it as a primary input to content strategy.
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Topics: AEO, AI Regulation, Antitrust, DMA, AI Search, Policy
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