From search to action: how Google brings together AI, brand profiles and commerce

A new logic of search: AI connects context, brand and action

At the heart of this is a simple but far-reaching change:
search should no longer just deliver results, but enable concrete next steps.

AI takes on several roles at once:

• it understands the intention behind complex queries,
• it combines information from various Google systems, and
• it prepares decisions in such a way that they can be implemented immediately.

This makes search a strategic interface between users, brands and commerce.

Brand information becomes the basis for AI responses

Business profiles and structured brand information play a central role in this. Google is increasingly using this content as a reliable source for AI-generated responses, for example in brand-related or local search queries.

This means that

• AI is increasingly relying on official company data.
• Brand profiles influence how and whether companies appear in AI responses.
• Consistency, timeliness and structure of information are becoming crucial.

Brands are not only found, but also interpreted. Those who do not provide a clear database leave the presentation to AI – or disappear from the context.

Commerce becomes AI-enabled: from product feed to decision space

At the same time, Google is consistently developing the commerce sector. With new AI functions and the Universal Commerce Protocol (UCP), Google is creating the technical basis for AI systems to interact directly with retailer platforms.

Product data is no longer used solely for display purposes, but also serves as a working basis for AI:

• comparisons between products,
• classification according to usage scenarios,
• consideration of price, availability and delivery options.

This creates a commerce model in which AI not only makes recommendations, but also prepares specific options.

Agentic Commerce: When AI actively supports purchasing processes

This development culminates in Google's vision of agentic commerce. AI agents are not only intended to inform users, but also to actively support them in their shopping – right up to the point of handing over a prepared purchase to the retailer.

Typical scenarios:

• AI analyses needs ("inexpensive, sustainable, available at short notice"),
• combines brand and product information, and
• guides users to a suitable solution.

The crucial factor is that the quality of the decisions depends directly on the quality of the data provided – from brand profiles and product feeds to structured additional information.

Fundamental changes for businesses

The combination of these developments is resulting in a clear change:

• Search is becoming dialogue-driven rather than keyword-driven.
• Visibility is created through data quality and contextual relevance.
• Brand presence, commerce and technology are converging.
• AI helps decide which options are relevant.

Companies therefore need to prepare not for individual features, but for a new search and decision-making model.

Conclusion

Google is not building a new search engine – Google is building an AI-powered decision-making ecosystem. Brands, content and commerce are no longer separate disciplines, but parts of a coherent system.

Companies that understand this logic early on and align their digital foundations accordingly will secure visibility in a search world where AI is increasingly setting the pace.

At RYZE, we are actively accompanying this development – strategically, technologically and in implementation – so that our customers remain relevant in the next evolutionary stage of search.