At Google I/O 2026, Google announced what it is calling “a new era for AI Search”, introducing a major upgrade to how Search works, how it responds to queries, and how it supports users in completing tasks.

From a marketing perspective, this is not just another product update.

It is a clear signal of how Search is evolving from a retrieval system into an AI-powered interface that increasingly interprets intent, takes action, and stays with the user throughout their journey.

For brands, this shift has real implications for visibility, content strategy, and how digital performance should be measured going forward.

Search is becoming more intelligent and more conversational

One of the most significant updates is a redesigned AI-powered Search experience, including a new intelligent Search box.

This new interface supports multimodal inputs such as text, images, files, videos and even Chrome tabs. It also helps users refine their queries in real time using AI-powered suggestions, making the act of searching more guided and conversational.

Alongside this, Google has upgraded AI Mode globally with Gemini 3.5 Flash as the default model, improving how Search interprets complex questions and generates responses.

What we think this means for brands is a continued shift away from keyword-first optimisation and towards intent-led content. If Search is increasingly interpreting meaning rather than matching terms, then clarity, depth and topical authority become even more important than ever.

From reactive search to proactive assistance

Perhaps the most notable change is the introduction of “Search agents”.

These agents can monitor the web continuously based on a user’s instructions and deliver proactive updates when something relevant changes. They draw on real-time information across news, finance, shopping, sports and other live datasets.

In practical terms, Search is beginning to move from a system where users ask a question and receive an answer, to a system where users define an objective and receive ongoing intelligence.

For brands, this introduces a new layer of visibility. It is no longer just about ranking when someone searches. It is about being part of the information ecosystem that feeds ongoing AI-driven updates.

That raises important questions about how often content is updated, how structured and machine-readable it is, and how easily it can be interpreted as a reliable source by AI systems operating in the background.

Search is moving closer to completing tasks, not just answering them

Google is also expanding agent-like capabilities that go beyond information retrieval.

Search will increasingly help users complete real-world tasks such as booking services and experiences. It will aggregate availability and pricing, and in some cases even contact businesses directly on behalf of users for categories like home repairs, beauty and pet care.

In parallel, Search is being designed to generate custom tools, dashboards and even mini applications that help users work through ongoing tasks such as planning, tracking or decision-making.

This is a fundamental shift in how users interact with Search. The experience is becoming less about visiting multiple websites and more about staying within an AI-driven environment that does the work for the user.

For brands, this could mean fewer traditional click-through journeys. It increases the importance of being selected as a trusted provider within AI-led workflows, rather than relying solely on organic listings to drive traffic.

Personal context is becoming part of Search

Google is also expanding Personal Intelligence in AI Mode, allowing users to optionally connect apps such as Gmail, Google Photos and soon Google Calendar.

This enables Search to use personal context to deliver more relevant and tailored responses, while keeping user control and consent central to the experience.

From a brand perspective, this reinforces the idea that two users may increasingly see very different search experiences for the same query. Context, behaviour and connected data will play a growing role in shaping what appears and why.

This makes consistency of brand signals across the wider digital ecosystem even more important, not just on your website but across reviews, third-party platforms and structured data sources.

What this means for brands

Taken together, these changes point towards a Search experience that is becoming more intelligent, more personalised and more action-oriented.

For brands, we think there are three key implications.

First, content needs to be designed for interpretation, not just indexing. If AI systems are synthesising answers and driving decisions, then your content needs to be structured, clear and authoritative enough to be confidently used in those outputs.

Second, visibility is expanding beyond traditional rankings. Being present in an AI-generated answer, an agent-driven recommendation or a proactive update may become just as important as ranking in a SERP.

Third, measurement will need to evolve. If fewer users reach your website directly, then success cannot be judged purely on sessions and clicks. Brands will need to think more about influence, inclusion in AI outputs and downstream conversions.

The direction of travel is clear

This is not a short-term experiment. It is a continued evolution of Search towards an AI-first interface that helps users move from question to action with less friction.

For brands, the challenge is not just to keep up with how Search looks today, but to adapt to how it is beginning to behave.

At Footprint Digital, we are already helping clients think about what this means for content strategy, technical foundations and long-term visibility in an AI-led search environment.

Because Search is no longer just changing how people find information.

It is changing how decisions get made.