Google’s Agentic Search Is Already Disrupting SEO

Google’s recent direction towards “agentic” search, highlighted by Sundar Pichai and reinforced through new product updates, points to a fundamental shift in how the web is being used. Rather than simply returning lists of links, search is increasingly moving towards completing tasks on behalf of users — a change that is already underway rather than something expected in the distant future.

Search Is Moving Beyond Information Retrieval

Traditionally, search engines have functioned as gateways to indexed websites, where users type queries and receive broadly similar sets of results. That model is now starting to change as AI systems enable users to move from searching for information to directly carrying out actions.

Instead of just finding links about a topic, users are increasingly able to instruct search systems to perform tasks such as making bookings, comparing options, or gathering structured answers from multiple sources at once.

A recent example shared by Google’s Search Product Lead, Rose Yao, highlighted this shift with the expansion of AI-driven restaurant booking capabilities. Users can now describe their requirements — such as group size, timing, and preferences — and the system will automatically scan platforms to find and present suitable options.

This removes the need for switching between apps or manually browsing multiple websites, replacing it with direct task completion.

From Search Results to Task Completion

This change reflects what Google has been signalling for some time. Sundar Pichai has described a future where search is no longer just about answering queries, but about managing multiple tasks simultaneously.

In this model, users would not simply receive information, but instead run “threads” of activity where the system actively completes actions on their behalf. This represents a clear shift from search as a discovery tool to search as an execution layer.

For businesses, this means visibility is no longer just about appearing in search results, but about being accessible to systems that can complete tasks directly.

A More Personalised Web Is Emerging

Alongside Google’s direction, broader industry commentary suggests the internet itself is becoming increasingly personalised. Instead of a single shared set of search results for everyone, AI agents are beginning to create unique experiences tailored to individual users and their specific goals.

This shift means that two users entering the same query may no longer receive the same output, as agents adapt results based on context, preferences, and real-time needs.

In practical terms, this moves the web away from a standardised model of information delivery towards a more dynamic, one-to-one system where each user interacts with their own personalised agent.

Implications for Websites and SEO

This evolution raises important questions for digital marketing and SEO. If search systems are increasingly focused on completing tasks rather than directing users to websites, then traditional optimisation strategies may need to adapt.

Instead of optimising purely for rankings, businesses may need to ensure their data, services, and content are structured in a way that allows AI systems to easily access and interpret them.

For example, in a task-based environment such as booking or shopping, agents will rely on accurate availability data, pricing, and structured product information. Websites that fail to provide this in a machine-readable format risk being bypassed entirely.

The Role of AI Agents in Decision Making

As AI agents become more capable, they are beginning to act as intermediaries between users and the web. This raises new questions about how decisions are made online — including which sources are trusted, how recommendations are generated, and where businesses appear within automated decision flows.

In many cases, users will still approve final actions, such as confirming a booking or purchase. However, much of the research and comparison process may already have been completed by an AI system in the background.

This creates a layered experience where visibility is no longer just about human attention, but also about whether AI systems choose to engage with and prioritise a particular source.

The Shift Towards an Agent-First Internet

The broader direction of travel suggests a move towards an internet designed not only for human users, but for AI agents acting on their behalf. This includes systems that can independently browse, compare, and interact with services in real time.

As this becomes more common, content management systems and web infrastructure will need to evolve to support machine-driven interactions more effectively.

The key challenge for SEO is no longer just how to rank in search results, but how to remain relevant in an environment where search itself is becoming an automated task layer rather than a list of links.