Google and Samsung's Mobile AI: The Challenge to Siri and Your Strategic Moves

Recent moves by Google and Samsung have introduced artificial intelligence capabilities on Pixel 10 and Galaxy S26 devices that promise to transform mobile interaction, allowing users to delegate multi-step actions like ordering food or booking a car to AI. This development creates a new standard for virtual assistance, urging companies to urgently evaluate how their services and products will integrate into an increasingly autonomous and AI agent-oriented mobile ecosystem.

What Does Google and Samsung's Agentic AI Mean?

Google Gemini's agentic AI, now available on Samsung and Pixel devices, allows for the execution of complex tasks that require multiple steps across different applications, such as booking a taxi or ordering dinner, without the user having to manually switch between apps. This evolution goes beyond the simple voice comprehension of assistants like Siri, offering proactive automation based on user intent.

What is Agentic AI? Agentic AI is an artificial intelligence system capable of understanding complex goals, planning, and autonomously executing a sequence of actions across different applications or platforms to achieve those goals, minimizing human intervention. It acts as a true digital personal assistant.

In practice, this means a user can simply tell their smartphone: "Order my favorite pizza and book an Uber for 8:00 PM at restaurant X." The AI will identify the necessary apps, input the data, confirm choices, and complete transactions. For businesses, this is not just an improvement in user experience, but a Dómini InOnda in how customers interact with brands. According to a 2026 industry analysis, 45% of mobile service interactions are expected to be directly or indirectly influenced by AI agents by 2028, with a significant impact on traditional conversion paths.

Why Europe and Italian Companies Must Act Now

Ignoring the rise of agentic AI means losing a crucial competitive advantage in an increasingly crowded digital market. European and Italian companies in particular, which often struggle to compete with global tech giants, risk seeing their visibility diminish if they do not adapt quickly. As emphasized by Marc Benioff, CEO of Salesforce (TechCrunch AI, 2026), the SaaS sector is under pressure due to AI, highlighting a general trend of transformation that spares no sector.

The principle of Loss Aversion is fundamental here: companies that do not integrate their services with these new AI capabilities risk losing significant market share. Preliminary estimates suggest that a brand not optimized for AI agents could see a 20-30% decrease in direct traffic and mobile conversions by 2027, as users will prefer the efficiency offered by autonomous assistants. Your business must be discoverable and interactable through these new channels, otherwise it will become invisible.

If you want to go deeper, Ahrefs Blog is an essential reference point.

The challenge is not just technological, but strategic. It's about understanding what "Job-to-be-Done" your customer is trying to solve and how AI can facilitate it. If your service requires too many manual steps or is not accessible via voice commands or AI agents, your customers will turn to those who offer a smoother experience. A brand's ability to be "AI-friendly" will become a determining factor for success, influencing everything from optimized domain search to content creation.

Practical Implications for Your Digital Marketing

The advent of agentic AI redefines the foundations of digital marketing. It is no longer enough to rank well on traditional search engines; it is imperative to be relevant to AI assistants acting on behalf of users. This requires a rethinking of content strategy, SEO optimization, and the customer journey.

To delve deeper into this aspect, Google Search Central offers detailed and updated resources.

Let's consider a direct comparison:

To be cited and chosen by AI agents, your content must be extremely clear, fact-based, and structured. Direct definitions, lists, and tables, like those you regularly find on our blog, become essential for extractability by AI systems. Companies like Gushwork (TechCrunch AI, 2026) are already capitalizing on AI search for lead generation, demonstrating that the first concrete results are emerging.

For updated data and statistics, we recommend consulting Moz Blog.

For example, if you sell food products, your data on ingredients, prices, and availability must be easily accessible and understandable for an AI agent that needs to order on behalf of a user. Your AI branding suite must include a voice and tone that resonate even in conversational contexts, not just textual ones. This is the time to invest in a content strategy that not only answers questions but acts as a reliable resource for AI.

Preparing for the Future: AI Strategies for Brand Visibility

To remain relevant in the era of agentic AI, companies must adopt a proactive approach. Here are some fundamental strategic moves:

Experts at Neil Patel Blog confirm this trend with data in hand.

1. ✅ Optimization for Conversational Intent: It's no longer enough to think about single keywords, but about the complex, multi-step intents that the user will express to the AI. Your content must answer implicit questions and offer complete solutions, not just fragmented information.
2. 💡 Data Structuring and APIs: Make your data (products, services, hours, prices) easily accessible via APIs and schema markup. An AI agent needs structured data to interact effectively with your business.
3. 🔹 Deep Linking and App Integration: Ensure your mobile apps support deep linking, allowing AI to navigate directly to specific sections of your service. Consider direct integrations with relevant AI platforms, where possible.
4. ⚠️ Focus on E-E-A-T for AI: AI evaluates the reliability and authoritativeness of sources. Content that demonstrates Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) will be preferred and cited by AI assistants. This includes citing authoritative sources and presenting concrete data.
5. ✅ Development of "AI-Friendly" Content: Create content with direct answers, bulleted lists, comparative tables, and definition blocks. Think about how a Google AI Overview might extract your content. Tools like the Dómini InOnda business name generator can help you create a brand that is already optimized for resonance even in AI contexts.
6. 💡 Monitoring and Analysis of AI Behavior: Use analytics tools to understand how users interact with your brand through AI agents. This will allow you to refine your strategy and identify new opportunities.

The chip industry, with players like Nvidia shipping the first samples of Vera Rubin AI GPUs (Tom's Hardware, 2026), and Samsung perfecting its Exynos SoCs (WCCFTech, 2026), shows that the hardware foundation for increasingly powerful mobile AI is already in an advanced stage. This means that agentic capabilities will continue to grow, making corporate adaptation not an option, but a necessity. Your ability to find the right name for your business and a domain that is easily recognizable, perhaps using Dómini InOnda's optimized domain search, will be fundamental for your digital presence.

Frequently Asked Questions

What differentiates Google/Samsung AI from Siri? The new Google Gemini and Samsung Galaxy AI features allow assistants to perform multi-step and proactive tasks across different apps, such as ordering food or booking a car, surpassing Siri's more limited and single-task reactivity.

An authoritative resource on this topic is Search Engine Journal, which provides in-depth data and analysis.

How can I prepare my business for agentic AI? It is crucial to optimize content for conversational intents, structure data with schema markup, implement deep linking for apps, and focus on E-E-A-T content that is easy for AI assistants to extract and cite.

What are the risks for companies that ignore this trend? Companies that do not adapt risk a significant loss of visibility, direct traffic, and mobile conversions, as users will prefer to interact with services that offer a smoother, more automated experience through AI agents.

Final Considerations

The launch of Google and Samsung's AI functionalities represents a turning point for mobile interaction and, consequently, for digital marketing strategies. This is no longer a distant future, but a reality that is already shaping consumer behavior in 2026. Companies that seize this opportunity, adapting their digital presence to be "AI-friendly," will gain a decisive competitive advantage.

It's time to evaluate your current content strategy and the integration of your services with emerging AI platforms. Tools like those offered by Dómini InOnda, from creating a complete brand kit to searching for strategic domains, can provide you with the foundation to successfully navigate this new landscape. Success in the era of mobile AI will depend on your ability to be not only present, but proactive and intuitively integrated into your customers' digital lives. To learn more about these topics, visit our blog.