Google’s Connected Apps Platform is revolutionizing the way third-party apps interact with its AI Mode in Search and the Gemini app. On October 28, 2026, Google opened the platform to developers, allowing them to build integrations that can execute tasks directly within these applications, not merely provide links. This advancement positions connected apps as a new kind of search visibility—action visibility—where apps can perform tasks directly for users.
- Integrate apps into Google’s AI Mode to perform tasks, not just provide links.
- Utilize Google’s Connected Console for app management and tracking.
- Early adoption can provide a competitive advantage in action visibility.
Context and Background
Google’s announcement on October 28, 2026, marks a pivotal shift in how apps interact within AI Mode and the Gemini app. Previously, AI Mode allowed users to link services like Instacart and YouTube Music directly inside conversational searches. With the Connected Apps Platform, developers now have a unified route to build and manage integrations for these surfaces through the Google Connected Console. This development is significant as it transforms AI Mode from an answer interface to an execution layer, where apps can directly fulfill user requests.
The platform initially supports apps via a cloud-hosted Model Context Protocol (MCP) server or Android MCP, utilizing Google’s AppFunctions APIs. This setup enables approved apps to track key metrics such as traffic and error rates, while maintaining branded elements like verified logos. The phased rollout will expand to more developers, countries, and Google products, starting with initial availability in the U.S. for English-speaking users.
How to Integrate Your App into Google’s AI Mode
Step 1: Evaluate Your App’s Compatibility
Assess whether your app can perform tasks within AI Mode or Gemini. This involves ensuring your app can securely expose functions via a cloud-hosted MCP server or Android AppFunctions integration. For instance, Canva allows users to complete design-related workflows directly within AI Mode. Evaluate your app’s potential for similar integrations, focusing on high-value tasks that users frequently perform.
Step 2: Register with Google’s Connected Console
Once your app is deemed compatible, register it through Google’s Connected Console. This console is the hub for submitting your app for review and managing integrations. It also provides essential insights into app performance, such as traffic and latency metrics. Developers like Adobe, already part of Gemini, use this to maintain branding consistency and track user interactions.
Step 3: Prepare for Account Linking and Permissions
Ensure your app can securely link user accounts to their Google accounts. This step is crucial as it allows the app to act on the user’s behalf. Google’s policy requires clear permissions and secure handling of user data. For example, apps like Calm are expected to handle sensitive user data with precision, ensuring a seamless user experience.
Step 4: Monitor and Optimize App Performance
After integration, continuously monitor your app’s performance using the metrics provided by Google’s Connected Console. Track app invocations, workflow completion rates, and error occurrences. Use this data to refine your app’s functionality and enhance user experience. For instance, you might find that certain tasks have higher error rates and need optimization for better performance.
Advanced Perspective
The shift towards action visibility means that traditional SEO tactics must evolve. The focus is no longer solely on page rankings but on enabling AI systems to recognize and execute app capabilities. This requires a deep understanding of how users interact with these systems and how AI interprets requests. For marketers, this means developing a dual strategy: maintaining traditional SEO while also optimizing app functionalities for AI-driven environments.
Moreover, as Google expands the Connected Apps Platform, the competitive landscape will shift. Early adopters who optimize their applications for these AI surfaces can gain a significant advantage. They will have the opportunity to set benchmarks and learn user behavior patterns before the platform becomes saturated. This insight allows for strategic adjustments in app capabilities and marketing approaches.
Common Mistakes Practitioners Make
One common mistake is neglecting the technical requirements for integration, such as secure account linking and MCP server setup. Without these, apps cannot fully leverage the platform’s capabilities. Practitioners should prioritize technical readiness to ensure smooth integration.
Another error is failing to track app performance metrics separately from traditional SEO metrics. This oversight can obscure insights into how apps perform in AI environments. Establish a distinct measurement framework to capture precise data on app interactions.
Lastly, some fail to adapt their content strategy to focus on action-oriented intent. Ignoring this can limit an app’s visibility in AI Mode. Instead, optimize content to align with natural-language requests that signal user intent to act, enhancing app discoverability and relevance.
For more insights, explore this Search Engine Journal article and Google’s official blog post.
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