Google Made $60.4 Billion in Search Revenue — How Much Did Your Site Get?

Hi everyone, this is Neo.

Google just released its Q1 2026 earnings, and one number deserves special attention:

Google Search & Other revenue grew 19% year over year, reaching $60.4 billion.

CEO Sundar Pichai credited AI for the result — AI Overviews and AI Mode. His words: “People love our AI experiences… and they’re coming back to Search more.”

In plain terms: users love our AI search, so they’re coming back to search more often.

For those of us running independent sites, this is a signal worth reading carefully. Google’s search business isn’t shrinking in the AI era — it’s making more money than ever. But here’s the question — out of that $60.4 billion, how much was “intercepted” from your website’s traffic?

1. The AI growth engine behind the $60.4 billion

Let’s look at the core numbers first:

  • Google Search & Other revenue: $60.4 billion (+19% YoY)
  • Alphabet total revenue: $109.9 billion (+22% YoY)
  • Search query volume: Pichai himself said it hit “all-time highs”
  • AI Mode users: roughly 100 million monthly actives, 75 million daily actives (previously disclosed figures)

Worth noting: Q1 revenue was down sequentially from Q4’s $63.1 billion, but that’s purely seasonal (Q4 has Black Friday and Christmas). What actually matters is YoY growth accelerating from 17% to 19% — the search business is clearly picking up speed.

Pichai’s exact words: “AI Overviews are driving overall Search growth.”

There are two ways to read that:

  1. The optimistic read: AI makes search more compelling, users search more often, and the whole search ecosystem grows
  2. The cautious read: AI Overviews answer users’ questions directly on the results page, reducing the need to click through to websites — and Google captures that value itself through AI ads

Neo’s take: Google’s search revenue is growing faster in the AI era — that’s a settled fact. But independent site owners need to be wary — not every dollar Google earns scales with your website’s traffic. Record query volume doesn’t mean record clicks for your site.

2. Who’s driving the growth? Retail and finance

Google’s Chief Business Officer Philipp Schindler gave more specifics on where the growth is coming from:

Search growth is “primarily driven by retail and finance,” with health also contributing.

What does this mean?

  • Retail: e-commerce advertisers are still spending heavily on Google, which means consumers’ willingness to discover products through search hasn’t declined — but the discovery path may have changed (from traditional search listings to recommendations inside AI Overviews)
  • Finance: financial products (credit cards, loans, insurance) are Google’s traditional high-value ad categories, and AI search hasn’t weakened their commercial value
  • Health: health queries are answered exceptionally well in AI Overviews, and Google has made a major bet on the YMYL (Your Money Your Life) space

Schindler added a key line: the strength of the search business is “not the result of any single driver, but rather the result of many parts of our business performing strongly and working together.”

That means Google’s AI search growth is systemic — the ad system, AI answer quality, and user experience optimization are all pushing revenue up together.

Neo’s take: Retail and finance are Google Search’s cash cows. If your independent site plays in these categories, the Google search ecosystem is still “valuable” for you — but what’s valuable is Google’s ad inventory, not your organic rankings. The fact that advertisers keep paying for those slots proves traffic value is still there. Whether organic clicks are growing in value alongside it is a different question.

3. Google’s AI efficiency revolution: faster and cheaper

Pichai shared two efficiency numbers on the earnings call that anyone in a search-adjacent business should care about:

1. Search latency down 35%

“Even as we’ve brought new AI features into our results page, we’ve reduced Search latency by more than 35% over the past five years.”

Over the past five years, while Google kept adding AI features to the results page, search latency actually dropped by more than 35%.

What does this mean? Google’s infrastructure upgrades have been extremely successful — AI features didn’t slow search down; they made the overall experience faster. Perceived speed directly affects how often users search and how satisfied they are.

2. AI response costs down 30%

“Since upgrading AI Overviews and AI Mode to Gemini 3, we’ve reduced the cost of core AI responses by more than 30% thanks to continued hardware and engineering breakthroughs.”

Since upgrading AI Overviews and AI Mode to Gemini 3, the cost of core AI responses has dropped by more than 30%.

This number matters enormously. Last year, many analysts worried that AI search costs would erode Google’s margins. Now Pichai is answering with data: AI search isn’t just profitable — it’s getting cheaper the more it runs.

A 30% cost reduction means Google can:

  • Deploy AI Overviews more broadly (covering more query types)
  • Add more complex features to AI Mode (multimodal, agentic experiences)
  • Maintain or even raise ad load without sacrificing user experience

Neo’s take: Google has solved the “cost problem” of AI search, which means AI Overviews coverage will only expand, never shrink. Independent sites should prepare themselves — more query types will trigger AI Overviews in the future, and the traditional 10 blue links will keep getting squeezed.

4. Three features Google is rolling out faster

In the Q1 call, Pichai also mentioned several search features moving quickly:

1. Personal Intelligence expanding widely in the US

Personal Intelligence is the personalized assistant Google launched inside AI Mode. It draws on your search history, Gmail, Calendar, and more to deliver personalized answers.

In March, Google rolled it out to free users in the US. That means AI search is no longer just “general knowledge Q&A” — it’s evolving into a “personal assistant.”

Impact on independent sites: if your content can’t get into AI’s “knowledge base,” when a user asks “recommend a product like X that fits me,” the AI may never mention you.

2. Agentic experiences expanding to new countries

Pichai described Google’s vision as “search as an agent manager.”

The early example is restaurant reservations — users can have AI book a table directly in AI Mode, no need to jump to a third-party site.

What’s next for agentic search? Hotel bookings, flight searches, e-commerce orders… every transaction that can happen in a conversation, Google wants to keep inside the search box.

3. Search Live going global with multimodal capabilities

Search Live lets users interact with Google Search through voice, images, and real-time video.

A global multimodal rollout means: the way users search is shifting from “typing keywords” to “taking a photo and asking AI what it is.”

Neo’s take: Google is turning search from an “information retrieval tool” into an “action execution platform.” Personal Intelligence makes search know you better. Agentic makes search do things for you. Multimodal makes search more natural. Put it all together, and users will spend more and more time inside Google’s ecosystem — and less and less time clicking through to independent sites.

5. Don’t celebrate too soon: record queries ≠ record clicks

The earnings numbers look great, but there’s a key question Google hasn’t answered:

How much of those record-high queries actually turned into website clicks?

Earlier this month, former Google Search head Liz Reid said on Bloomberg’s Odd Lots podcast that AI Overviews reduce “low-value clicks” (users who click in, realize it’s not what they wanted, and bounce) rather than “useful traffic.”

The logic holds up, but for independent site owners there are two problems:

  1. Who defines what a “low-value click” is? Google says what’s being reduced is low-value clicks, but your analytics shows total clicks going down. The user Google calls “low-value” might be your only conversion opportunity.

  2. Google hasn’t disclosed click-through rates for AI Overviews and AI Mode. We don’t know how many clicks that would have gone to websites were replaced by AI answers. Google also hasn’t broken out revenue between AI search ads and traditional search ads — we don’t know how much of that $60.4 billion came from AI surfaces vs traditional ones.

So the conclusion is clear:

  • ✅ Google’s search revenue is growing → advertisers still see value in search ads
  • ✅ Queries at all-time highs → users are still using Google
  • ❓ Are websites getting more clicks → Google hasn’t said — it’s a black box
  • ❓ AI search’s impact on organic traffic → differs for every site; you have to monitor it yourself

Neo’s take: When reading Google’s earnings, independent site owners need to separate two levels — Google’s commercial success is not the same as your website’s traffic health. Google can have more queries and higher revenue while your organic clicks keep declining. The two aren’t contradictory. I recommend every independent site build its own monitoring system: track branded search volume, monitor how often AI Overviews appear, compare organic traffic trends year over year. Don’t wait for Google to give you the answer — it never will.

6. Google I/O and Marketing Live are worth watching

On the earnings call, Pichai teased that Google I/O and Google Marketing Live in May will share more about search.

These two events usually announce:

  • New search features and algorithm updates
  • New formats and pricing for AI search ads
  • New policies for publishers and content creators

If your independent site depends on Google traffic, these are the two events to watch this year.

Neo’s take: Google I/O and Marketing Live have always been the barometers for the SEO and SEM industry. This year matters more than ever, because Google’s AI search is at the critical stage of moving from “experiment” to “mainstream.” I expect Google to launch more AI search ad products (like sponsored placements in AI Mode), plus new features that could significantly affect publisher traffic. Mark both dates on your calendar now.

Summary

Today we walked through the key signals from Google’s Q1 earnings:

  1. Search revenue grew 19% to $60.4 billion, with AI Overviews and AI Mode as the core drivers
  2. Queries hit all-time highs, but “more queries” doesn’t mean “more website clicks”
  3. AI response costs down 30%, so Google has the capacity to keep expanding AI search coverage
  4. Retail and finance are the growth engines, and advertisers in those categories remain heavily dependent on Google
  5. Personal Intelligence, agentic search, and multimodal search are rolling out faster, and the boundaries of search are being redrawn
  6. Google’s commercial success ≠ your website’s traffic health — you have to build your own monitoring
  7. Google I/O and Marketing Live in May deserve close attention from every independent site that depends on Google traffic

One last thought: the more successful Google’s AI search becomes, the less “autonomy” you have inside the Google ecosystem. That’s not pessimism — it’s a reminder: diversify your traffic sources, and build your brand independent of any single platform.

Hope this post gives you some insight. If you read Google’s earnings differently, I’d love to hear your take in the comments.