Google Search: agentic features & Universal Cart

Google is expanding search with stronger agentic capabilities: Information Agents and Universal Cart are set to change how users discover, compare, and buy products online. For SEO, e-commerce, and performance marketing teams, this marks another step away from static result lists toward action-oriented search surfaces where relevance, trust, and purchase intent align more closely.

Information Agents: From answers to tasks

Information Agents are specialized AI-assisted helpers within Google Search that turn complex information needs into multi-step workflows. Instead of only serving links, they can handle research, comparison, and purchase preparation—for example by clustering product attributes, summarizing review signals, or suggesting suitable merchants. For publishers and shops, the question shifts: which content delivers not only clicks but is used by agentic systems as a reliable decision basis?

From an SEO perspective, structured product data, clear value propositions, and unambiguous specifications gain weight. Google can only assemble stable agentic answers when sources provide consistent facts, price and availability cues, and traceable brand information. Unclear landing pages, thin category pages, or conflicting merchant feeds make inclusion in agentic flows as difficult as in classic shopping results.

Universal Cart: One cart across merchants

Universal Cart addresses a central friction point in online retail: users often still run separate checkout processes for each merchant. A cross-merchant cart in search is meant to bundle products from different sources and shorten the path from discovery to purchase. That changes customer journeys because the Google surface becomes more of a first purchase station—not only a navigation aid.

For merchants and marketplaces, opportunities and risks arise together. Those with clean setup in Merchant Center, product feeds, and local inventory data can benefit from higher visibility in agentic purchase scenarios. Those who neglect data quality may lose not only organic rankings but also the chance to appear in a unified checkout context. The interface between SEO, feed management, and conversion optimization moves closer together.

Impact on e-commerce SEO and product search

Classic product search optimization long focused on titles, GTINs, images, and price competition. Agentic search adds requirements for semantic product descriptions, variant logic, and understandable benefit communication. Information Agents favor content that answers questions precisely: Does the size fit? Is the model compatible? How does it score in independent tests? Editorial guides, FAQ blocks, and clearly structured comparison tables thus matter more for visibility in AI-assisted purchase helpers.

Agentic search and brand visibility

With agentic features, Google pushes search further toward dialog-oriented, goal-driven interaction. Users state more complex tasks; the system breaks them into sub-steps and pulls in suitable sources. For brands, visibility arises not only from position one but from being cited as a trustworthy instance across several intermediate steps. Brand entities, consistent NAP data, author profiles, and demonstrable expertise strengthen that effect.

Strategic levers for merchants and marketers

The combination of Information Agents and Universal Cart requires aligned measures across disciplines. SEO owns discoverability and content clarity, paid and shopping campaigns supply demand and margin signals, UX teams secure frictionless product pages. Without a shared data basis, agentic features remain theoretical.

• Review product feeds regularly for completeness, price, availability, and image quality.
• Enrich category pages with clear filters, comparison tables, and FAQs on purchase criteria.
• Make reviews and trust signals visible without risky manipulative patterns.
• Design internal linking so hub pages bundle complementary products and guides.
• Evaluate Search Console and shopping reports together to spot drop-offs between click and purchase.

Technical requirements and content quality

Agentic systems assess not only keywords but coherence across pages. Duplicate content, thin variant URLs, and conflicting shipping information undermine trust. Merchants should keep variant handling, hreflang, and structured data in view. With Universal Cart especially, the price shown in the feed must match checkout—discrepancies hurt user experience and can cost visibility over time.

Measurability and operational next steps

Initially many teams will work with limited detail reports on agentic purchase features. Still, early indicators can be tracked: brand search, clicks on product extensions, share of organic sessions with commercial intent, and conversion paths from search. Defining test products and top categories helps spot faster whether new surfaces shift traffic or activate additional demand.

SEO leads should establish a joint review cycle with e-commerce and analytics: Which pages already deliver strong shopping impressions? Where is structured data missing? Which guides are cited in AI answers but do not lead to the shop? These questions stay relevant as Information Agents and Universal Cart roll out more broadly—whether users first get access only in test markets.

Google positions agentic search as the next evolution of product search. Brands that align data, content, and UX now are better prepared when Information Agents handle complex purchase tasks and Universal Cart bundles checkout along search.