Google Goes to Court to Keep Search Data From AI Rivals: Europe’s Competition Plan Faces a Legal Test

Google Goes to Court to Keep Search Data From AI Rivals: Europe’s Competition Plan Faces a Legal Test
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Google has taken its fight over European search competition to court. The company challenged two European Commission decisions under the Digital Markets Act: one concerning access to Android features for competing AI services, and another requiring anonymised Google Search data to be made available to eligible search rivals, including chatbots with search functionality.

The challenges were filed at the EU General Court on September 28, 2026, according to Mint’s September 29 report. Google’s appeal was also confirmed by Euronews and AFP. The dispute puts an important route to stronger AI search competition under legal challenge. It does not establish that the obligations have been overturned.

Two decisions, two routes to competing with Google

The Commission adopted the binding specifications on July 16. The Android decision aims to give alternative AI services access to device features available to Google’s own services, including Gemini. That could let users activate a preferred assistant by voice and delegate actions across apps. The Commission says privacy and device security protections are included.

The search decision addresses a separate advantage: the feedback Google collects from people using its search engine. It specifies access for eligible competing search services, including AI chatbots offering search, subject to anonymisation. The measures also address pricing and access procedures. Reporting places the search implementation deadline in January 2027 and Android changes in July 2027.

Search feedback is not Google’s entire index

The shared dataset concerns queries, rankings, clicks and views. Access to those signals is different from receiving Google’s complete web index, its ranking algorithm or an unrestricted feed of identifiable user histories. This distinction matters when assessing what rivals could actually build.

The Commission’s search-data explanation identifies potential uses such as improving query understanding, ranking, retrieval and decisions about which websites to index. It also sets boundaries: recipients cannot use the data to train general-purpose AI models, improve unrelated advertising or profiling services, or systematically reproduce Google’s search results.

Privacy is the central disagreement

Google argues that the required sharing could expose sensitive searches and that the Android measures could weaken security. Its competition executive Oliver Bethell raised concerns about inadequate anonymisation, pointing to the personal nature of questions people ask Search. Those are the company’s objections, rather than findings that the safeguards have failed.

The Commission defends an approach combining technical changes, contractual restrictions and audits. Its explanation includes removing direct identifiers and certain identifying attributes, suppressing risky queries and reducing the possibility of connecting searches to individuals. Google can also assess serious security and data-protection risks associated with particular recipients. Mint, citing Reuters, reports that DuckDuckGo supports the anonymisation framework. The dispute therefore concerns whether the safeguards are sufficient while leaving useful information for competitors.

Why this matters for AI visibility

For NetContentSEO, the underlying issue is how alternative discovery systems obtain the evidence they need to improve retrieval. A chatbot can produce fluent answers while still depending on another company’s search infrastructure to find current sources. Better feedback could help competing systems improve which pages they retrieve and how they interpret queries. That is an editorial inference, not a measured outcome of these decisions.

If rivals improve their search technology, publishers could eventually face a wider range of retrieval and citation pathways. The effect would depend on who gains access, how they use the dataset and whether their products attract users. Data access alone does not guarantee better answers, more publisher traffic or fair attribution.

This connects with NetContentSEO’s research into AI visibility and attribution: being discoverable across systems increasingly requires understanding how sources are selected and reconstructed. The appeal provides no evidence of an immediate change to Google rankings or chatbot citations.

A legal challenge, with the outcome still open

As of October 1, 2026, the reviewed reporting confirms the challenge but does not establish an annulment or suspension of the decisions. The next meaningful developments will be any court orders affecting implementation and evidence that eligible rivals are receiving usable data. Europe’s effort to expand search competition now faces litigation; its success or failure remains unresolved.

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