The Order That Changes AI Search Competition
On 16 July 2026, the European Commission issued two binding orders under the Digital Markets Act that represent the most significant regulatory intervention in search since the 2017 Google Shopping ruling. Google must share search click and impression data with qualifying rival AI search engines from January 2027, and open 11 Android features to third-party AI assistants with immediate effect.
The orders are not proposals or preliminary findings. They are final binding measures under DMA Article 6, enforceable with fines of up to 10% of global annual turnover. For a company with Alphabet's revenue, that ceiling exceeds $35 billion.
What Google Must Share and When
The search data order requires Google to provide qualifying AI search competitors with access to anonymised click and impression data from Google Search. This is the signal dataset that has historically given Google AI Overviews a structural quality advantage over competing AI search summaries. ChatGPT Search, Perplexity, Bing AI, and other qualifying assistants will be able to apply for access from January 2027, subject to a fair pricing mechanism and eligibility assessment.
The Android interoperability order is separate and takes effect immediately. It requires Google to open 11 Android features to third-party AI assistants, including voice assistant integration, on-device AI processing capabilities, and deep system access that has previously been restricted to Google's own Gemini assistant. This means iPhone-equivalent AI assistant competition is now structurally possible on Android for the first time.
The AEO Implication: Platform Convergence Accelerates
For B2B marketers and AEO strategists, the most important consequence of this order is not legal or political. It is technical: the data gap between Google AI Overviews and rival AI search engines will narrow significantly from January 2027 onwards.
Google currently holds approximately 90% of global search market share, according to Statcounter. That dominance has meant that Google's AI systems have trained on vastly more real-world search behaviour than any competitor. ChatGPT Search and Perplexity have compensated through different architectures and real-time web access, but the underlying signal quality gap has remained. The DMA order begins to close that gap.
The practical implication for content strategy is straightforward: entity-based AEO optimisation, which focuses on structured content, clear factual claims, and answer-engine-friendly formatting, will increasingly surface content across all AI engines simultaneously. Marketers who have been treating Google AI Overviews and ChatGPT citations as separate optimisation problems will find the distinction matters less as the underlying data converges.
What This Means for Google's Competitive Position
Google has publicly stated that the orders risk exposing user data and has indicated it will engage with the Commission on implementation details. The company's legal team is expected to challenge the orders before the EU General Court, though DMA rules do not permit suspension of compliance obligations during appeal proceedings.
The more significant strategic risk for Google is not the data sharing itself but the Android interoperability order. Google Gemini's position as the default AI assistant on Android devices has been a key distribution advantage. Opening 11 Android features to ChatGPT, Perplexity, and other assistants creates the conditions for genuine AI assistant competition on the world's most widely used mobile operating system.
For enterprise B2B buyers evaluating AI search strategy, this is a signal that the multi-engine AI search landscape is becoming more durable, not less. Investing in AEO infrastructure that works across engines is now the structurally sound position.
Three Actions for B2B Marketing Teams
The January 2027 deadline is six months away. That is enough time to build a meaningful AEO advantage before the competitive landscape shifts. The three most important actions are:
Audit your current AI citation coverage across engines. Run your core service and product queries through Google AI Mode, ChatGPT Search, and Perplexity. Document where you appear, where competitors appear, and what content formats are being cited. This baseline will be your benchmark when the data sharing takes effect.
Prioritise entity-based structured content over keyword-density SEO. The DMA order accelerates the shift from keyword-matching search to entity-understanding AI search. Content that clearly defines what your organisation does, who it serves, and what problems it solves in structured, citable language will benefit disproportionately as AI engines improve their signal quality.
Implement FAQ schema and Speakable markup across your highest-traffic pages. These schema types directly improve AI citation eligibility across all major engines. They are not Google-specific optimisations. As rival AI engines gain access to better training data, they will increasingly reward the same structured content signals that Google AI Overviews already favours.
The Broader Regulatory Context
The July 2026 DMA orders are the latest in a series of regulatory actions that are reshaping the AI search landscape. The EU AI Act, which entered full application in August 2025, introduced transparency and accountability requirements for AI systems used in high-risk contexts. The DMA orders build on this by addressing the structural market conditions that determine which AI systems have access to quality training data.
For B2B marketers, the regulatory direction is consistent: AI search is becoming more competitive, more regulated, and more structurally open. The organisations that will benefit most are those that have invested in content quality, structured data, and AEO infrastructure rather than those that have relied on Google-specific optimisation tactics that may not transfer to a more competitive multi-engine environment.
The deadline is January 2027. The preparation window is now.
Related Reading
Free AI Visibility Audit
Find out how your brand appears in Google AI Mode, ChatGPT Search and Perplexity before the DMA data-sharing deadline changes the competitive landscape.
Get Your Free AuditAbout the Author
Modi Elnadi is the founder of Integrated.Social, a London-based B2B AI marketing agency specialising in agentic AI systems, answer engine optimisation and performance marketing. With a background spanning fintech, enterprise technology and growth marketing, Modi works with commercial and technology leaders navigating the intersection of AI transformation and revenue accountability. Connect on LinkedIn or explore the AEO and AI search services at Integrated.Social.
The Order That Changes AI Search Competition
On 16 July 2026, the European Commission issued two binding orders under the Digital Markets Act that represent the most significant regulatory intervention in search since the 2017 Google Shopping ruling. Google must share search click and impression data with qualifying rival AI search engines from January 2027, and open 11 Android features to third-party AI assistants with immediate effect.
The orders are not proposals or preliminary findings. They are final binding measures under DMA Article 6, enforceable with fines of up to 10% of global annual turnover. For a company with Alphabet's revenue, that ceiling exceeds $35 billion.
What Google Must Share and When
The search data order requires Google to provide qualifying AI search competitors with access to anonymised click and impression data from Google Search. This is the signal dataset that has historically given Google AI Overviews a structural quality advantage over competing AI search summaries. ChatGPT Search, Perplexity, Bing AI, and other qualifying assistants will be able to apply for access from January 2027, subject to a fair pricing mechanism and eligibility assessment.
The Android interoperability order is separate and takes effect immediately. It requires Google to open 11 Android features to third-party AI assistants, including voice assistant integration, on-device AI processing capabilities, and deep system access that has previously been restricted to Google's own Gemini assistant. This means iPhone-equivalent AI assistant competition is now structurally possible on Android for the first time.
The AEO Implication: Platform Convergence Accelerates
For B2B marketers and AEO strategists, the most important consequence of this order is not legal or political. It is technical: the data gap between Google AI Overviews and rival AI search engines will narrow significantly from January 2027 onwards.
Google currently holds approximately 90% of global search market share, according to Statcounter. That dominance has meant that Google's AI systems have trained on vastly more real-world search behaviour than any competitor. ChatGPT Search and Perplexity have compensated through different architectures and real-time web access, but the underlying signal quality gap has remained. The DMA order begins to close that gap.
The practical implication for content strategy is straightforward: entity-based AEO optimisation, which focuses on structured content, clear factual claims, and answer-engine-friendly formatting, will increasingly surface content across all AI engines simultaneously. Marketers who have been treating Google AI Overviews and ChatGPT citations as separate optimisation problems will find the distinction matters less as the underlying data converges.
What This Means for Google's Competitive Position
Google has publicly stated that the orders risk exposing user data and has indicated it will engage with the Commission on implementation details. The company's legal team is expected to challenge the orders before the EU General Court, though DMA rules do not permit suspension of compliance obligations during appeal proceedings.
The more significant strategic risk for Google is not the data sharing itself but the Android interoperability order. Google Gemini's position as the default AI assistant on Android devices has been a key distribution advantage. Opening 11 Android features to ChatGPT, Perplexity, and other assistants creates the conditions for genuine AI assistant competition on the world's most widely used mobile operating system.
For enterprise B2B buyers evaluating AI search strategy, this is a signal that the multi-engine AI search landscape is becoming more durable, not less. Investing in AEO infrastructure that works across engines is now the structurally sound position.
Three Actions for B2B Marketing Teams
The January 2027 deadline is six months away. That is enough time to build a meaningful AEO advantage before the competitive landscape shifts. The three most important actions are:
Audit your current AI citation coverage across engines. Run your core service and product queries through Google AI Mode, ChatGPT Search, and Perplexity. Document where you appear, where competitors appear, and what content formats are being cited. This baseline will be your benchmark when the data sharing takes effect.
Prioritise entity-based structured content over keyword-density SEO. The DMA order accelerates the shift from keyword-matching search to entity-understanding AI search. Content that clearly defines what your organisation does, who it serves, and what problems it solves in structured, citable language will benefit disproportionately as AI engines improve their signal quality.
Implement FAQ schema and Speakable markup across your highest-traffic pages. These schema types directly improve AI citation eligibility across all major engines. They are not Google-specific optimisations. As rival AI engines gain access to better training data, they will increasingly reward the same structured content signals that Google AI Overviews already favours.
The Broader Regulatory Context
The July 2026 DMA orders are the latest in a series of regulatory actions that are reshaping the AI search landscape. The EU AI Act, which entered full application in August 2025, introduced transparency and accountability requirements for AI systems used in high-risk contexts. The DMA orders build on this by addressing the structural market conditions that determine which AI systems have access to quality training data.
For B2B marketers, the regulatory direction is consistent: AI search is becoming more competitive, more regulated, and more structurally open. The organisations that will benefit most are those that have invested in content quality, structured data, and AEO infrastructure rather than those that have relied on Google-specific optimisation tactics that may not transfer to a more competitive multi-engine environment.
The deadline is January 2027. The preparation window is now.
Related Reading
Free AI Visibility Audit
Find out how your brand appears in Google AI Mode, ChatGPT Search and Perplexity before the DMA data-sharing deadline changes the competitive landscape.
Get Your Free AuditAbout the Author
Modi Elnadi is the founder of Integrated.Social, a London-based B2B AI marketing agency specialising in agentic AI systems, answer engine optimisation and performance marketing. With a background spanning fintech, enterprise technology and growth marketing, Modi works with commercial and technology leaders navigating the intersection of AI transformation and revenue accountability. Connect on LinkedIn or explore the AEO and AI search services at Integrated.Social.
