Originally published on The Searchless Journal
The European Commission has done something no other regulator has managed: it has legally forced Google to dismantle the walls around its AI garden. On July 16, 2026, the Commission issued two binding specification decisions under the Digital Markets Act (DMA) that will fundamentally reshape how AI assistants compete on Android and how search data flows to rival engines.
The first decision requires Google to open eleven Android operating system features to rival AI assistants — the same features that currently give Google's Gemini an unbeatable advantage on more than two billion Android devices worldwide. The second forces Google to share the search data it uses to optimize its own services with eligible third-party search engines, including AI chatbots.
Implementation deadlines are firm: January 2027 for search data sharing, and July 2027 for full Android interoperability. That gives brands roughly twelve months to prepare for an AI discovery landscape that will look nothing like the one they are optimizing for today.
This is not another regulatory footnote. It is the most consequential intervention in AI search distribution since the launch of ChatGPT.
What the Commission Actually Ordered
The European Commission's two specification decisions are precise, legally binding, and narrow in scope. They do not impose fines. They do not determine whether Google has breached the DMA. What they do is tell Google exactly how it must comply with two specific obligations under the Digital Markets Act: interoperability and data access.
The Android Interoperability Decision
The first decision targets the eleven Android features that give Gemini its structural advantage on mobile devices. According to the Commission's official announcement, these features fall into four broad categories:
Voice activation. Users must be able to wake a rival AI assistant with a voice command, the same way "Hey Google" works today. This is not a minor feature parity adjustment — it is the front door to AI discovery on mobile. Whoever owns the voice trigger owns the first interaction.
Cross-app action. Rival AI assistants must be able to perform actions inside and across apps on behalf of the user. Booking a taxi, sending a reply in a chat application, completing long-running tasks in the background — these are the capabilities that make an AI assistant actually useful rather than merely conversational. Today, only Gemini has this kind of deep Android integration.
Contextual awareness. Third-party AI services must be able to access context from apps and device sensors to offer proactive suggestions and anticipate user needs. This means a rival assistant could see that you just visited a restaurant and offer to save the location, or notice you have a meeting coming up and suggest departure times.
Hardware and model access. Google must give rival AI apps sufficient hardware and software resources, including access to on-device AI models, to execute tasks. This is critical: without on-device processing capability, rival assistants would remain slower and less capable than Gemini regardless of their software quality.
The Commission stressed that the measures include "robust safeguards" for privacy, device integrity, and security. Only qualified rivals get access. Google retains the right to assess whether sharing specific data or access with a particular third party poses serious cybersecurity or data protection risks.
The Search Data Decision
The second decision addresses a different advantage: the data moat that Google Search has accumulated over two decades. Google collects search data at a scale no competitor can match through effort alone. That data — what users search for, what they click, what they ignore — is the raw material that makes a search engine smarter over time.
Under the new decision, Google must share anonymized search data with eligible third-party search engines, including AI chatbots that offer search functionality. Critically, the Commission specified that Google must share "the same data that it collects to optimise its own search services" — not a watered-down subset.
The anonymisation framework is multi-layered, developed in collaboration with internal and external privacy experts, and aligned with joint guidelines from the Commission and the European Data Protection Board on the interplay between the DMA and GDPR. Google can evaluate recipients for cybersecurity risk before sharing. The Commission also set a fair pricing formula and a transparent access process.
For AI search engines like Perplexity, ChatGPT Search, or European challengers that have not yet emerged, this is unprecedented. Access to Google's search optimization data has never been legally mandated before.
Google's Response: Privacy as a Shield
Google's blog response, published the same day under the title "The DMA should not undercut security & privacy for Europeans," frames the decisions as a threat to user safety.
"Today's decisions risk undermining vital privacy and security guardrails for millions of Europeans. We have repeatedly offered solutions to safeguard users while satisfying the DMA's goals, but these rulings discount extensive evidence of user harm."
The blog raises three specific concerns: that granting external apps sensitive device permissions threatens Android security, that Europeans' private searches would be exposed to unfamiliar companies without adequate anonymisation, and that the EU's own cybersecurity agency has warned that "security fundamentals matter more than ever in the age of AI."
This is a familiar playbook. Google, like Apple before it, is framing interoperability mandates as security threats. The Commission anticipated this argument. Its decision explicitly incorporates safeguards: multi-layered anonymisation, recipient risk assessment, and the right to refuse data sharing where serious cybersecurity risks exist. Whether those safeguards are sufficient in practice will be tested as implementation proceeds.
The Apple Parallel: Why Siri AI Is Not in Europe
The Google decision does not exist in isolation. It directly mirrors the Commission's standoff with Apple over Siri AI, which remains unavailable in the European Union following the iOS 27 announcement.
Apple told EU regulators that the DMA would require it to give any AI system "nearly unlimited access to a user's device" and the ability to act on that information autonomously. Apple proposed a Trusted System Agent approach that would allow third-party virtual assistants to safely access device capabilities. The Commission rejected Apple's proposed solutions, stating that Apple was "unable to develop interoperability solutions that meet essential EU privacy and security standards." Apple then requested a blanket exemption, which the Commission also refused.
Google took the opposite approach. Instead of asking permission, it launched Gemini integration on Android and dealt with DMA compliance retroactively. That strategy gave Android users in Europe full Gemini access while Google worked through the regulatory consequences. The July 16 decisions are those consequences.
The contrast between Apple's caution and Google's boldness reveals something important about how the DMA actually works in practice. Gatekeepers that wait for regulatory certainty fall behind. Gatekeepers that move first and negotiate compliance from a position of deployed facts gain market share. The Commission's decisions are binding, but the enforcement timeline — January and July 2027 — gives Google another year of Gemini advantage on Android while it technically comes into compliance.
Why This Matters for Brand Visibility
Here is where the story shifts from regulatory analysis to strategic consequence.
For the last three years, brands have been building GEO strategies around a stable landscape of AI discovery surfaces: Google AI Overviews, ChatGPT, Perplexity, Copilot, and increasingly Claude. That landscape has been relatively predictable. The engines have different strengths, but the list of surfaces that matter for brand visibility has been manageable.
The EU's decision is about to expand that list — potentially dramatically.
When rival AI assistants gain equal access to Android's voice activation, app actions, contextual awareness, and on-device models, the competitive dynamics of mobile AI discovery change. A European user might set ChatGPT, Perplexity, or a currently unknown European AI assistant as their default mobile assistant — the one that responds when they say "Hey" followed by a brand name. Each of those assistants will answer queries differently, cite different sources, and recommend different products.
For brands, this means the AI visibility monitoring list is no longer fixed. It is a growing set. The surfaces where your brand needs to be visible, cited, and recommended could multiply within twelve months — at least in Europe.
The search data sharing decision compounds this. When Google's search optimization data becomes available to rival engines, those engines will improve faster. Better data means better ranking, better recommendations, and better citation quality. Smaller search engines and AI chatbots that have struggled with data scarcity will suddenly have access to the same behavioral signals Google uses to refine its own results. This could accelerate the competitive narrowing between Google's AI search products and challenger engines in Europe specifically.
The Transatlantic Divergence Is Real
The EU rulings land at a moment when the regulatory gap between Europe and the United States on AI is widening sharply. While the EU is actively using the DMA to restructure AI search distribution, the US has stalled federal AI legislation multiple times. The result is that brands operating in both markets face divergent AI discovery landscapes.
In the United States, Google's Android integration remains unchallenged. Gemini's default advantage holds. The set of AI discovery surfaces is determined by market competition, not regulatory mandate.
In Europe, that same integration is being legally dismantled. Rival AI assistants will gain structural access that market forces alone would never have delivered. The discovery surface area will be broader, more fragmented, and harder to optimize for with a single strategy.
Brands that treat their GEO strategy as globally uniform will underperform in Europe. Brands that build region-specific AI visibility monitoring — tracking which assistants European users actually adopt, which engines cite them, and how the fragmentation affects their share of AI recommendations — will gain an early advantage that compounds as the market reshapes.
What Smart Brands Should Do Now
The implementation timeline gives brands a window, but not a generous one. Here is what matters between now and January 2027.
Expand your AI visibility monitoring beyond the current top four. If you are only tracking ChatGPT, Perplexity, Google AI Overviews, and Copilot, you are monitoring the pre-DMA landscape. Add European-specific AI assistants to your tracking list now, even if their market share is currently small. The engines that benefit from Google's mandated data sharing and Android interoperability will be the ones that grow fastest in 2027.
Audit your structured data and entity signals for multi-engine portability. The brands that win in a fragmented AI discovery landscape are the ones whose structured data, schema markup, and entity definitions are clean enough that any AI assistant — not just the current market leaders — can parse and cite them correctly. If your GEO strategy has been optimized primarily for Google's crawler, it needs to work for engines that do not have Google's two decades of indexing infrastructure. The Searchless AI visibility audit can identify gaps in your structured data that would make you invisible to emerging engines.
Build presence on the engines that will benefit from data sharing. Perplexity, ChatGPT Search, and emerging European AI search products will have access to Google's search optimization data from January 2027. Engines that currently feel thin or incomplete in their recommendations will improve materially. Brands that establish presence and citation traction on these platforms before the data sharing kicks in will have a head start when the quality gap narrows.
Prepare for voice-first AI discovery. The Android interoperability decision specifically mandates that rival assistants get equal voice activation access. Voice queries are structurally different from text queries — they are longer, more conversational, and more locally specific. Your content strategy needs to account for how a European user might ask a rival AI assistant about your brand, your products, or your category through voice, not just how they might type a query into Google.
The Bigger Picture: Regulation as Market Architecture
The Commission's decisions are notable not just for what they require but for what they reveal about the future of AI search regulation globally.
The DMA's specification proceedings are a new regulatory tool. They do not punish past behavior — they prescribe future architecture. The Commission is not fining Google for anti-competitive conduct. It is telling Google exactly how to design its products to comply with the law. This is regulation as product specification.
Executive Vice-President Teresa Ribera framed the ambition plainly: "Society is going through a profound digital transformation. We need to keep that process fair and ensure that our citizens have choice."
Other regulators are watching. The UK's Competition and Markets Authority has been building its own digital markets regulation. Japan's Fair Trade Commission has been investigating Google's mobile practices. South Korea has already forced Google and Apple to allow third-party payment systems. The DMA specification model — telling gatekeepers exactly how to open their platforms — is a template that can travel.
For brands, this means the fragmentation that starts in Europe will not necessarily stay in Europe. The AI discovery surfaces you need to monitor will likely expand in other markets too, on slightly different timelines but following the same regulatory logic.
The Strategic Question
The brands that treat the EU's DMA decisions as a European regulatory story will be the ones caught unprepared when their AI visibility metrics start fragmenting across a wider set of engines in 2027.
The brands that treat it as a signal — that the era of a predictable, narrow set of AI discovery surfaces is ending — will start building the monitoring infrastructure, the multi-engine optimization strategy, and the voice-first content patterns now.
You have twelve months. The question is whether your current GEO strategy assumes the discovery landscape will stay the same, or whether it is built to adapt when it does not.
Is your brand ready for AI discovery fragmentation?
The EU's decisions will multiply the number of AI assistants and search engines that European users rely on. If your AI visibility strategy covers only Google, ChatGPT, and Perplexity, you are already undercounting the surfaces that will matter by 2027.
Run a free AI visibility audit →
Sources
- European Commission, "Commission provides guidance to Google for AI interoperability on Android and sharing of Google Search data under the Digital Markets Act," digital-markets-act.ec.europa.eu, July 16, 2026
- Google Blog, "The DMA should not undercut security & privacy for Europeans," blog.google, July 16, 2026
- Reuters, "Google required to open up AI, search engine rivals under EU-mandated changes," reuters.com, July 16, 2026
- MacRumors, "EU Orders Google to Give Rival AI Apps the Same Android Access as Gemini," macrumors.com, July 16, 2026
- Digital Watch Observatory, "European Commission orders Google to open Android and Search under DMA," dig.watch, July 18, 2026
- EU Perspectives, "Google's Android phones must welcome competing AI, Commission orders," euperspectives.eu, July 2026
- AdExchanger, "Q2 2026 Was The Quarter AI Media Started to Scale," July 2026
Frequently Asked Questions
What does the EU DMA decision require Google to do?
The European Commission issued two legally binding decisions on July 16, 2026. The first requires Google to open eleven Android features to rival AI assistants, including voice activation, cross-app actions, contextual awareness, and hardware access. The second requires Google to share anonymized search optimization data with eligible third-party search engines, including AI chatbots. Implementation deadlines are January 2027 for data sharing and July 2027 for Android interoperability.
Will this affect brands outside Europe?
The decisions apply to Google's operations in the European Union. However, the regulatory model — using specification proceedings to force platform interoperability — is being studied by regulators in the UK, Japan, South Korea, and other markets. Brands should expect similar fragmentation pressures globally, on different timelines.
Can Google appeal the decisions?
The decisions are legally binding but subject to judicial review. Google has signaled it will "continue advocating for a balanced approach." However, the specification proceedings do not carry fines, and Google must begin implementation regardless of appeal status. Separate non-compliance investigations could follow if Google fails to implement the measures on time.
How does this differ from the Apple Siri AI situation?
Apple attempted to negotiate DMA compliance for Siri AI before launch, proposed a Trusted System Agent approach, was rejected by the Commission, and ultimately decided not to launch Siri AI in the EU. Google took the opposite approach — it launched Gemini on Android first and is now being forced to open access to rivals retroactively.
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