Google Marketing Live: How search Is changing for brands

Google has moved far beyond being just a search engine with some AI add-ons. They are rebuilding Google Search into an AI-first experience. By focusing on Gemini’s reasoning and chat features, Google is aiming to dominate where search and artificial intelligence meet.

If anyone was worried about whether regular users would accept this change, Alphabet’s latest earnings report answered that.

Google Search & Other ads grew by 19% year-over-year, thanks to record traffic and impressions. Google says this growth comes from people genuinely trying out the new AI features on the search page. AI search isn’t hurting Google; it’s giving it new energy.

For advertisers, this is a big change. The search results page is turning from a list of links into an ongoing conversation, bringing brand discovery into the spotlight. But it’s not just about building vague awareness. Now, both early discovery and final sales can happen together on Google.

For years, paid search was primarily treated as a demand-capture channel. A user searched with intent, an ad appeared, and the path to conversion was relatively clear. Today, the journey is not a funnel, but a series of connected decision moments.

With AI Overviews and AI Mode, users are asking broader, more conversational questions. They are researching, comparing, refining, and planning directly within Google. That means more discovery moments are happening before a user ever reaches a brand’s site.

Google’s introduction of ads in AI Mode makes this shift even more important. Context-aware ad placements can now appear within the generative chat experience itself, giving brands a way to show up while someone is still shaping their decision, not just after they have settled on what to buy.

For advertisers, this creates more opportunities to be useful throughout the consumer journey, but it also raises the bar. Ads need to fit the context of the conversation. They should answer questions, clarify tradeoffs, surface relevant options, and help users take the next step rather than simply push a product or promotion.

In AI-led search, the most effective ads will not just match intent. They will add value to the decision.

Google is also reducing the distance between discovery and action.

With more agentic commerce experiences, users may be able to compare products, receive offers, build carts, qualify leads, book services, or check out without following the traditional path from search ad to landing page to conversion.

• Business Agents for Leads: Instead of forcing a user to click through to a landing page to fill out a boring, static form, an intelligent chat agent can dynamically qualify the lead right there on the SERP.
• Universal Commerce Protocol & Universal Cart: Thanks to partnerships with major retail platforms, Google’s Universal Cart lets shoppers save items from different retailers and hit a native checkout via Google Pay without ever leaving AI Mode.
• Going Vertical (Hotels & Food Delivery): Google is scaling this agentic tech across industries. Soon, users will be booking hotel rooms or ordering dinner directly inside a conversational thread on Search or Maps, with the AI handling the heavy lifting between Google and the business.

Search media and commerce operations are becoming more connected. Brands that treat them separately will feel the friction.

In an AI-led environment, advertisers have less control over every individual query and more responsibility for shaping the inputs that guide the system. That includes audience signals, creative assets, first-party data, product feeds, conversion values, brand guidelines, exclusions, and business rules.

Tools like Performance Max, AI Max, and AI Brief point to this shift. Instead of only managing exact-match keywords and manual bid adjustments, search specialists will increasingly guide the system through natural-language instructions, audience priorities, messaging guardrails, and commercial objectives.

That could mean:

• Telling the AI which search spaces to prioritize or avoid, such as “prioritize luxury buyers, avoid discount seekers.” 
• Setting messaging rules around what the AI can and cannot say in generated copy. 
• Anchoring exploration around higher-value audience groups, rather than letting the system chase broad reach without enough commercial direction.

We’ve already seen how powerful this shift can be when the right signals are in place. 

As Google’s AI takes on more of the matching, placement, and optimization work, the quality of a brand’s creative and data becomes even more important.

Creative isn’t just a final asset delivered into a campaign. It’s a signal that helps the platform understand what the brand offers, who it is relevant for, and how it should show up across different contexts.

That is why updates to Asset Manager and Asset Studio matter. Faster creative production is helpful, but only if it is paired with clear brand guidelines, strong variation, and a workflow that keeps media, creative, and brand teams aligned.

The same is true for data. First-party data, Customer Match, offline conversion imports, CRM feedback, and enhanced conversion signals help Google understand which customers and actions are actually valuable.

If AI doesn’t know what quality looks like, it will optimize toward what is easiest to find.

As more discovery happens inside AI-powered experiences, brands will need better ways to measure influence across the journey.

A user may discover a brand through an AI Overview, return later through an organic brand search, compare options in another session, and convert through a different channel entirely. Last-click measurement will miss much of that value.

Google’s updates around Meridian, Qualified Future Conversions, Lead Intent Scores, and Attributed Brand Searches are all aimed at connecting earlier engagement to future outcomes. 

These tools could help advertisers better understand the value of customer activity, but they should be tested and validated against business reality.

The key is not to accept every modeled metric at face value. It is to build a measurement system that helps teams understand how AI-led discovery contributes to demand, pipeline, revenue, and brand growth.

For over twenty years, paid and organic search teams lived in their own worlds. It was simple: three or four paid text ads at the top, followed by 10 blue organic links. You could operate in silos and still win.

Those silos are officially dead. The new SERP is a highly blended, immersive interface in which traditional organic results, AI Overviews, and sponsored Gemini content interweave seamlessly. 

Since the layout is now completely flexible, SEO and PPC can’t be managed separately anymore. They need to work together on a single search strategy. Brands should look at the search page as a whole, making sure their organic efforts support AI Overviews, while paid ads fill in when organic results aren’t enough.

To succeed now, you need to let go of old strategies. Instead of focusing on matching keywords, focus on creating strong intent signals. Rather than just bidding for single clicks, consider the entire customer journey and its value. Bring your paid and organic teams together and write ads that give clear answers rather than feel like interruptions.