Google Says AI Search Is Growing Search Usage. GEO Belongs in the Core Search Budget.

Google gave the GEO market a more important signal than another product launch.

On Alphabet's Q1 2026 earnings call, Sundar Pichai said people are using AI Mode and AI Overviews enough that they are "coming back to Search more." In the same remarks, Google said Search & Other Advertising revenue grew 19%, AI Overviews are driving overall Search growth, AI Mode is seeing strong growth in both users and usage globally, and the cost of core AI responses fell by more than 30% after the move to Gemini 3.

That is not a minor PR line.

It is Google telling the market that AI search is becoming part of the core search business, not a side experience sitting next to it.

Of course, Google is talking its own book on an earnings call. Every public company does that. Still, these are not throwaway lines. Companies choose carefully which product behaviors they highlight when they are explaining revenue durability and margin confidence to investors.

For brands, the implication is straightforward: GEO should now sit inside the main search budget and planning model, not in a separate experimental bucket.

If you need the tactical side first, start with our guide to Google AI Mode optimization. This article is about the market and budget shift behind that tactical work.

The old GEO budget story is getting weaker

Most teams have been pitching GEO in one of two ways.

1. •Defensive response to AI disruption
2. •Experimental visibility work outside the core search program

That framing made sense when AI search looked small, expensive, and operationally separate from Google's main search business.

Google is now arguing the opposite.

That table is the real story.

If AI search sessions are increasing usage, and if Google can serve those sessions more efficiently over time, then the answer layer is not a tax on search. It is a growth surface inside search.

That changes budget logic fast.

What changed in Google's own language

Three parts of the Apr 29 earnings remarks matter most.

1. Google explicitly tied AI experiences to more search usage

Pichai said people love AI Mode and AI Overviews and are "coming back to Search more." Later in the same remarks, Google said "Search AI continues to drive search usage" and that AI Overviews are driving overall Search growth.

That is the sentence many search leaders should pin to the wall.

For the last year, a lot of the GEO discussion has been framed around replacement. AI replaces clicks. AI replaces websites. AI replaces search.

Google's public line is different. It is saying conversational search features create more search behavior, not less.

You do not need to take that as gospel to see the strategic shift. You only need to notice that Google is now comfortable making that claim in front of investors.

2. Google paired usage growth with distribution expansion

On Mar 26, Google announced that Search Live expanded globally wherever AI Mode is available, reaching more than 200 countries and territories. The product supports voice and camera interactions, which means the search session is getting more conversational and more multimodal at the same time.

Then, in the earnings remarks, Google added two more details:

• •restaurant booking shipped to new countries
• •AI Mode is seeing strong growth in both users and usage globally

Put those together and you get a clearer picture of where Google is heading. Search is not just adding answer summaries. It is expanding into longer sessions, multimodal interactions, and action-taking workflows.

That matters for brands because the visibility opportunity is no longer one answer box. It is the full chain around the answer.

3. Google said the unit economics are improving

This is the part too many GEO discussions skip.

Google said it reduced Search latency by more than 35% over the past five years and that, since upgrading AI Overviews and AI Mode to Gemini 3, it cut the cost of core AI responses by more than 30%.

That is a real operating signal.

If AI search were only growing usage but remaining brutally expensive to serve, the long-term rollout case would be shaky. If cost per response drops while usage grows, Google has a much cleaner path to expanding these experiences more aggressively.

For brands, that means AI search should be treated as a compounding visibility layer, not a temporary novelty.

Why this changes the GEO budget argument

The common internal objection to GEO usually sounds like one of these:

• •we are already funding SEO
• •AI traffic is still small
• •we should wait until the platforms settle
• •this feels interesting, but not budgetable yet

Google's latest comments weaken all four objections.

GEO is no longer separate from search behavior

If AI Overviews and AI Mode are helping drive search growth, then GEO is not adjacent to search. It is part of search.

That does not mean classic SEO stops mattering. Far from it. Ranked results, crawlability, authority, internal linking, and page quality still shape whether your content becomes a credible source. But the optimization target has widened.

Your search program now needs to cover:

• •ranked results
• •AI Overviews source inclusion
• •AI Mode follow-up journeys
• •action-oriented surfaces like booking, planning, and multimodal assistance

That is one search program, not four unrelated ones.

GEO is easier to defend when Google frames it as growth, not cannibalization

Search leaders often struggle to get budget for a channel that sounds like a hedge against decline.

A growth narrative is easier to fund.

If the dominant search platform is saying AI features are increasing engagement and making the business stronger, then investing in answer-surface visibility stops sounding like speculative R&D. It starts sounding like normal search planning.

This is the same reason our analysis of AI referral traffic as a decision-stage channel matters. The issue is not whether AI behaves exactly like the old SERP. It does not. The issue is whether serious buying behavior is happening there. It is.

Budget ownership should move up the org chart

Once the answer layer becomes part of the core search business, GEO should not live with one curious operator running ad hoc prompt checks.

The planning model now needs shared ownership across:

• •SEO or organic search lead
• •content strategy lead
• •product marketing for evidence and positioning
• •paid search lead, especially where AI surfaces blend organic and sponsored units
• •analytics lead who can connect prompt visibility, referral quality, and pipeline influence

That is not overkill. It is what happens when the search surface gets broader and more commercial.

The economics matter as much as the interface

A lot of AI search writing gets hypnotized by the interface.

That is understandable. AI Mode looks new. Search Live feels new. Multimodal search demos look great on stage.

But the more durable signal is economic.

The reason Google's Apr 29 remarks matter is that they connect four things in one story:

1. •higher usage
2. •wider rollout
3. •more actions inside search
4. •lower cost to serve AI responses

That combination is what allows a platform change to stick.

Without it, you get flashy features that stay constrained. With it, you get features that spread into the default product and become part of everyday buyer behavior.

This is also why Google's AI Max signal for paid search teams matters in parallel. Organic search, answer experiences, and ad economics are being reworked at the same time. Brands that keep GEO outside the main search budget are planning against an outdated product model.

What brands should do now

Here is the practical response.

1. Merge SEO and GEO planning for Google into one operating model

Stop treating AI Overviews and AI Mode as a separate weekly experiment.

For every high-value topic cluster, ask:

• •do we rank?
• •do we get cited?
• •do we survive follow-up questions?
• •do we show up when the query becomes more specific, more visual, or more action-oriented?

That is a better planning framework than rankings alone.

2. Move prompt testing closer to commercial journeys

Informational prompt sets still matter. But if Google is pushing more search usage through conversational journeys, then your testing set should include the follow-up questions buyers ask after the first answer.

That means adding prompts around:

• •comparisons
• •constraints
• •implementation questions
• •trust and proof questions
• •action-taking tasks

If your current reporting still stops at the first query, it is incomplete. Our guide on how to measure GEO and AI visibility covers the monitoring side.

3. Treat evidence-rich money pages as answer-surface assets

Pages like pricing, implementation, expert, and comparison pages should not be written only for conversion after the click.

They also need to work as source material before the click.

That means:

• •cleaner answer blocks
• •tighter proof near claims
• •clearer tradeoffs and fit language
• •better passage structure for extraction
• •stronger internal links into supporting proof

This is where a lot of brands still lose. They publish thought leadership, but their decision-stage pages remain vague.

4. Rework reporting for leadership

Your leadership team does not need a dashboard full of screenshots.

They need answers to four questions:

• •where do we appear in Google's AI search layers now?
• •where are competitors showing up instead?
• •which page types win citation share on commercial journeys?
• •what work deserves budget next quarter?

If you cannot answer those four clearly, GEO will keep sounding experimental even when the platform is not.

What not to do

A quick warning.

Do not take Google's usage claim as permission to chase every shiny AI feature.

That is the wrong lesson.

The better lesson is that the search surface is broadening, so the foundations matter more:

• •technical eligibility
• •trustworthy source material
• •commercial page depth
• •proof placement
• •prompt-level measurement
• •cross-team ownership

If those are weak, adding more AI buzzwords to your deck will not help.

FAQ

Does this mean classic SEO budgets should be cut and moved into GEO?

No. It means the old split between SEO and GEO is becoming less useful, especially for Google. Ranked results and answer surfaces now support the same search journeys. The better move is to plan them together and allocate work by search behavior, page type, and business impact.

Is Google just spinning a positive story for investors?

Partly, yes. Public companies always present their strongest case. But that does not make the signal irrelevant. When Google chooses to highlight AI Mode, AI Overviews, search growth, and lower AI response cost in the same earnings narrative, it is telling the market what it believes is becoming economically important.

Why does the 30% cost reduction matter so much for brands?

Because lower serving cost makes broader AI rollout easier to sustain. If Google's answer features were increasing usage but remaining expensive, expansion could stall. Lower cost plus higher usage gives Google a stronger reason to keep pushing AI deeper into the search experience.

What should B2B brands do first if they have limited resources?

Start with your commercial search journeys, not broad awareness content. Audit the pages that should win comparisons, implementation questions, trust questions, and pricing-related prompts. Then test how those pages perform in AI Overviews and AI Mode follow-ups. That gives you a much clearer first GEO roadmap than generic visibility checks.

The bottom line

Google is now making a public, investor-facing case that AI search features are increasing search usage, widening search behavior, and getting cheaper to run.

If that pattern continues, GEO is not a side experiment anymore.

It belongs in the core search budget, the core search reporting stack, and the core search operating model.

The teams that act on that now will build one durable search system for ranked results and answer surfaces together.

The teams that wait will keep reporting on yesterday's version of search while Google's product keeps moving underneath them.