Google’s AI search strategy is not shrinking its core search business; it is expanding the number and type of questions people ask, while creating a much tougher economic equation for the websites that supply the underlying information.
Alphabet CEO Sundar Pichai used the company’s second-quarter 2026 earnings call to make that case in unusually direct terms. Search and Other revenue rose 17% year over year, while total Alphabet revenue grew 24%, and Pichai said the growing use of AI Overviews and AI Mode is producing an incremental increase in search queries rather than displacing conventional Google Search. Google’s Q2 2026 earnings remarks
That matters because the enduring argument around generative AI has been binary: either AI answers replace search, or search survives only by keeping people clicking traditional blue links. Google is now betting on a third path. Its AI features are meant to turn search from a one-shot retrieval product into a more open-ended research, planning, comparison, and task-completion experience.
For Windows users, web publishers, software vendors, and anyone who depends on Google visibility, that shift is significant. Google Search is becoming less like a directory of pages and more like a conversational interface that may use the web extensively while sending users onward more selectively.
Pichai’s central message was that AI is not merely protecting Google against standalone assistants and answer engines. It is making users search more. During the 2026 FIFA World Cup, Google Search usage reached an all-time high, according to Pichai, underscoring how major live events still drive people to Google for real-time information, background research, highlights, schedules, and follow-up questions. Google’s earnings-call remarks
The financial result provides a powerful data point. Alphabet reported:
The more consequential claim is about behavior, not quarterly revenue. Google says that, since AI Mode expanded globally in October 2025, it has surpassed one billion monthly active users. Pichai said both AI Mode and AI Overviews are driving additional search activity, and that Google is now sending “billions of clicks” to websites every week through its AI search features. Google’s Q2 2026 earnings remarks
Those are enormous numbers. But they also require careful interpretation.
A billion monthly users does not necessarily mean a billion people use AI Mode as a dedicated destination in the same way they use a standalone chatbot. It reflects the power of putting an AI interface into a product that already sits at the center of people’s daily navigation, research, shopping, troubleshooting, travel planning, and software discovery.
That is Google’s biggest strategic advantage: it does not need to convince the public to abandon search habits. It can make AI part of the existing search habit.
At their best, AI Overviews can reduce friction. A user trying to understand a Windows error code, compare laptop processors, choose a backup strategy, or identify compatibility requirements may no longer need to open five separate pages merely to establish the basics.
The benefit is especially clear for multi-part questions. Rather than searching separately for “Windows 11 BitLocker recovery,” “TPM requirements,” “Microsoft account recovery,” and “device encryption difference,” a user can start with a broader question and move into follow-ups.
Google says the average AI Mode query is roughly three times the length of a traditional Google Search query. The company also says AI Mode queries related to planning have grown faster than AI Mode usage overall, suggesting users are increasingly treating search as a place to formulate plans rather than simply locate pages. Google’s analysis of AI Mode use
That change should not be underestimated. A conventional search query is often terse:
For users, this can produce better starting points for difficult research. For publishers, however, it changes the nature of visibility.
A page no longer competes only for a position in a simple ranked list. It may be surfaced as one piece of evidence within a broader machine-generated answer. It can gain exposure without becoming the user’s final destination.
That is useful when the citation drives a highly qualified visitor to a product page, in-depth tutorial, or paid subscription. It is far less useful when the AI response satisfies the user’s need before a click becomes necessary.
Traditional search often required multiple searches to complete a task. Users would refine short queries, open tabs, scan pages, backtrack, compare results, and search again. AI Mode can consolidate some of those steps into a richer conversation.
The likely effect is an increase in what might be called search sessions: a user spends more time inside Google, asks more detailed questions, and follows more prompts. From Google’s standpoint, that is valuable even if fewer individual clicks leave Google’s properties.
The company’s own usage data supports the broad direction of travel. Google said in May that AI Mode queries had more than doubled every quarter since launch, while voice and image-based searches also represented a growing share of U.S. search activity. Google’s AI Mode usage report
This is not simply a battle between Google Search and chatbot competitors. It is a contest over where the research workflow happens.
If users conduct the entire research process inside a search interface—asking questions, comparing products, viewing images, analyzing documents, creating plans, and receiving recommendations—Google can preserve and even deepen its role as the starting point for the web.
Search ads work because they can be tied to intent. Someone searching for a tax accountant, a gaming monitor, a cloud backup service, or a replacement laptop battery is signaling a possible commercial need. The challenge for Google is to preserve that value as search becomes more conversational.
A longer query may actually reveal more useful intent than a short keyword. A user explaining that they need a Windows PC for engineering software, remote work, light video editing, and travel provides a more nuanced commercial signal than someone typing “best laptop.”
That may give Google more opportunities to match users with relevant products, services, merchants, and advertisers—provided it does so without turning AI answers into cluttered ad units.
The risk is obvious. If AI Mode becomes a high-value commercial decision interface, the pressure to monetize it will grow. Search users have long tolerated advertising because sponsored placements were visibly separate from organic results, even if the distinction has not always been perfectly clear.
In AI-generated answers, that separation must remain unmistakable. A conversational answer that blends recommendations, sponsored products, affiliate-style commerce links, and organically sourced information too closely could damage trust quickly—particularly in high-stakes categories such as health, financial services, security software, legal matters, and consumer technology.
Independent evidence points to a real tension.
A Pew Research Center analysis of browsing data from 900 U.S. adults found that users clicked a traditional search-result link on 8% of visits where an AI summary appeared, compared with 15% of visits without one. Users clicked links cited inside the AI summary itself on just 1% of such visits.
The study is not a final verdict on every query category or every publisher. It reflects observed behavior in March 2025, and Google’s products and layouts have evolved since then. Still, the core finding is hard to dismiss: when search provides a usable answer on the results page, people are less likely to click outward.
Pew also found that users ended their browsing session after a search page with an AI summary 26% of the time, compared with 16% for pages without an AI summary. Pew Research Center’s methodology and findings
For publishers, this is not an abstract problem. Traffic is often the bridge between content and revenue:
The Reuters Institute’s 2026 journalism trends report makes that caveat explicit. Its Chartbeat-based aggregate data found that Google organic-search traffic to more than 2,500 sites fell 33% globally and 38% in the United States between November 2024 and November 2025, but it said the precise share attributable to AI Overviews was unclear.
That nuance is important. AI search is part of a wider referral crisis, not the sole cause of it.
Even so, the Reuters Institute found that publishers expect traffic from search engines to decline by an average of 43% over the next three years. The most vulnerable organizations are likely to be those whose content answers routine, highly searchable informational questions: lifestyle advice, weather, TV listings, definitions, basic product comparisons, and utility content. Reuters Institute’s 2026 outlook
In May, the company announced new AI Search link treatments intended to help people find original articles, trusted sources, firsthand perspectives, and their own news subscriptions. These updates include more inline links, “explore” suggestions for deeper reading, subscription labels, contextual previews, and expanded source visibility within AI responses. Google’s overview of new AI Search links
The concept is sensible. If users see a compelling source title, recognize a publication they already trust, or receive a preview that explains why a link is relevant, they may be more willing to click.
Google says early testing found that people were significantly more likely to click links marked as subscriptions. Google’s AI Search updates for publishers
But the company’s success should be measured with more than source counts or link placements. A page can be technically cited yet economically invisible.
The real questions are:
That is a useful step, particularly for technical SEO teams attempting to understand whether their content is appearing in AI Overviews or AI Mode. However, the initial reporting emphasis is on visibility, not a fully separated and transparent accounting of referral clicks, click-through rate, downstream conversions, or revenue.
For publishers, visibility alone is not a business model.
Google’s own guidance says there are no special technical requirements or new markup needed to appear in AI Overviews or AI Mode. The same fundamentals still apply: pages need to be crawlable, indexable, helpful, well-structured, technically sound, and built around reliable information. Google’s AI features documentation for site owners
For technology publishers and Windows communities, that leads to a practical strategy.
The strongest content includes:
For example, a Windows troubleshooting article should not stop at “Run
A smaller number of visitors may still be commercially valuable if they are more likely to:
But the web has a supply-side problem. AI search works best when it can retrieve current, diverse, credible, and well-maintained source material. That material costs money to report, test, write, edit, host, secure, and update.
If the financial value of referral traffic falls faster than publishers can replace it with subscriptions, licensing, direct audience relationships, and new commercial models, the long-term result could be a thinner web. AI systems may still produce fluent answers, but their underlying source base could become more repetitive, less independent, and less rigorously maintained.
That is why Google’s claim of sending billions of clicks must be evaluated not only by volume, but by distribution and sustainability. A referral ecosystem that heavily favors large platforms, social networks, user-generated discussion sites, and a small set of dominant publishers may not adequately fund the specialized sites that answer the web’s hardest questions.
The strongest version of Google’s AI search strategy is not one where AI replaces the web. It is one where AI helps users navigate a better, more discoverable, and more economically viable web.
Yet “search is growing” and “publishers are benefiting” are not interchangeable statements.
Google may be building a larger search experience in which users ask longer questions, run more comparisons, and complete more research without leaving the results page. That is a genuine product advance for many users, especially when AI provides trustworthy sources and makes complex information easier to understand.
The challenge now is whether Google can prove that its AI-enhanced search growth also produces a healthy flow of traffic, revenue, and recognition for the creators whose work makes those answers possible. If it cannot, AI may make Google Search bigger while making the open web that Search depends on materially smaller.
Alphabet CEO Sundar Pichai used the company’s second-quarter 2026 earnings call to make that case in unusually direct terms. Search and Other revenue rose 17% year over year, while total Alphabet revenue grew 24%, and Pichai said the growing use of AI Overviews and AI Mode is producing an incremental increase in search queries rather than displacing conventional Google Search. Google’s Q2 2026 earnings remarks
That matters because the enduring argument around generative AI has been binary: either AI answers replace search, or search survives only by keeping people clicking traditional blue links. Google is now betting on a third path. Its AI features are meant to turn search from a one-shot retrieval product into a more open-ended research, planning, comparison, and task-completion experience.
For Windows users, web publishers, software vendors, and anyone who depends on Google visibility, that shift is significant. Google Search is becoming less like a directory of pages and more like a conversational interface that may use the web extensively while sending users onward more selectively.
The headline: AI is becoming an input to search growth
Pichai’s central message was that AI is not merely protecting Google against standalone assistants and answer engines. It is making users search more. During the 2026 FIFA World Cup, Google Search usage reached an all-time high, according to Pichai, underscoring how major live events still drive people to Google for real-time information, background research, highlights, schedules, and follow-up questions. Google’s earnings-call remarksThe financial result provides a powerful data point. Alphabet reported:
- 24% year-over-year revenue growth across Alphabet
- 17% growth in Search and Other revenue
- 13% growth in YouTube advertising
- 82% growth in Google Cloud revenue
- A Google Cloud backlog of $514 billion, according to the company’s remarks Google’s Q2 2026 earnings remarks
The more consequential claim is about behavior, not quarterly revenue. Google says that, since AI Mode expanded globally in October 2025, it has surpassed one billion monthly active users. Pichai said both AI Mode and AI Overviews are driving additional search activity, and that Google is now sending “billions of clicks” to websites every week through its AI search features. Google’s Q2 2026 earnings remarks
Those are enormous numbers. But they also require careful interpretation.
A billion monthly users does not necessarily mean a billion people use AI Mode as a dedicated destination in the same way they use a standalone chatbot. It reflects the power of putting an AI interface into a product that already sits at the center of people’s daily navigation, research, shopping, troubleshooting, travel planning, and software discovery.
That is Google’s biggest strategic advantage: it does not need to convince the public to abandon search habits. It can make AI part of the existing search habit.
From a search box to a research interface
Google’s AI search vision revolves around two connected products: AI Overviews and AI Mode.AI Overviews: the summary layer
AI Overviews appear within ordinary Google Search results. They attempt to synthesize an answer to a question, often with links to supporting pages, before or alongside conventional results. The feature is designed for queries where Google believes a generated explanation can add something beyond the standard results page. Google’s guidance for website ownersAt their best, AI Overviews can reduce friction. A user trying to understand a Windows error code, compare laptop processors, choose a backup strategy, or identify compatibility requirements may no longer need to open five separate pages merely to establish the basics.
The benefit is especially clear for multi-part questions. Rather than searching separately for “Windows 11 BitLocker recovery,” “TPM requirements,” “Microsoft account recovery,” and “device encryption difference,” a user can start with a broader question and move into follow-ups.
AI Mode: the conversational layer
AI Mode is the more ambitious product. It is built for longer, more complex, and more iterative queries where a user wants Google to reason across several aspects of a task.Google says the average AI Mode query is roughly three times the length of a traditional Google Search query. The company also says AI Mode queries related to planning have grown faster than AI Mode usage overall, suggesting users are increasingly treating search as a place to formulate plans rather than simply locate pages. Google’s analysis of AI Mode use
That change should not be underestimated. A conventional search query is often terse:
- “Best Windows laptop”
- “Fix printer offline”
- “Excel duplicate values”
- “SSD health check”
This is a different kind of intent. It contains constraints, trade-offs, preferences, and a request for judgment. That is exactly where a list of ten blue links is less satisfying than an answer that organizes the decision and offers sources for deeper reading.
Query fan-out changes the retrieval model
Google explains that AI Overviews and AI Mode may use a technique called query fan-out, in which the system issues multiple related searches across subtopics and sources while assembling a response. Google’s AI features documentationFor users, this can produce better starting points for difficult research. For publishers, however, it changes the nature of visibility.
A page no longer competes only for a position in a simple ranked list. It may be surfaced as one piece of evidence within a broader machine-generated answer. It can gain exposure without becoming the user’s final destination.
That is useful when the citation drives a highly qualified visitor to a product page, in-depth tutorial, or paid subscription. It is far less useful when the AI response satisfies the user’s need before a click becomes necessary.
Why Google can plausibly say search is getting bigger
Google’s claim that AI is expanding search does not mean every part of the traditional search ecosystem is thriving. Both things can be true at once:- Google can receive more total queries and generate more search revenue.
- Individual websites can receive fewer outbound clicks from those searches.
Traditional search often required multiple searches to complete a task. Users would refine short queries, open tabs, scan pages, backtrack, compare results, and search again. AI Mode can consolidate some of those steps into a richer conversation.
The likely effect is an increase in what might be called search sessions: a user spends more time inside Google, asks more detailed questions, and follows more prompts. From Google’s standpoint, that is valuable even if fewer individual clicks leave Google’s properties.
The company’s own usage data supports the broad direction of travel. Google said in May that AI Mode queries had more than doubled every quarter since launch, while voice and image-based searches also represented a growing share of U.S. search activity. Google’s AI Mode usage report
This is not simply a battle between Google Search and chatbot competitors. It is a contest over where the research workflow happens.
If users conduct the entire research process inside a search interface—asking questions, comparing products, viewing images, analyzing documents, creating plans, and receiving recommendations—Google can preserve and even deepen its role as the starting point for the web.
The advertising advantage
Google’s ability to make AI search economically durable will depend heavily on advertising.Search ads work because they can be tied to intent. Someone searching for a tax accountant, a gaming monitor, a cloud backup service, or a replacement laptop battery is signaling a possible commercial need. The challenge for Google is to preserve that value as search becomes more conversational.
A longer query may actually reveal more useful intent than a short keyword. A user explaining that they need a Windows PC for engineering software, remote work, light video editing, and travel provides a more nuanced commercial signal than someone typing “best laptop.”
That may give Google more opportunities to match users with relevant products, services, merchants, and advertisers—provided it does so without turning AI answers into cluttered ad units.
The risk is obvious. If AI Mode becomes a high-value commercial decision interface, the pressure to monetize it will grow. Search users have long tolerated advertising because sponsored placements were visibly separate from organic results, even if the distinction has not always been perfectly clear.
In AI-generated answers, that separation must remain unmistakable. A conversational answer that blends recommendations, sponsored products, affiliate-style commerce links, and organically sourced information too closely could damage trust quickly—particularly in high-stakes categories such as health, financial services, security software, legal matters, and consumer technology.
The publisher problem: more searches do not automatically mean more traffic
Google’s “billions of clicks” claim should be treated as meaningful but incomplete. The company has not publicly paired it with a comprehensive breakdown showing how AI search changes click-through rates, traffic distribution, revenue, or the share of clicks going to small publishers versus large platforms.Independent evidence points to a real tension.
A Pew Research Center analysis of browsing data from 900 U.S. adults found that users clicked a traditional search-result link on 8% of visits where an AI summary appeared, compared with 15% of visits without one. Users clicked links cited inside the AI summary itself on just 1% of such visits.
The study is not a final verdict on every query category or every publisher. It reflects observed behavior in March 2025, and Google’s products and layouts have evolved since then. Still, the core finding is hard to dismiss: when search provides a usable answer on the results page, people are less likely to click outward.
Pew also found that users ended their browsing session after a search page with an AI summary 26% of the time, compared with 16% for pages without an AI summary. Pew Research Center’s methodology and findings
For publishers, this is not an abstract problem. Traffic is often the bridge between content and revenue:
- Display advertising requires page views.
- Affiliate businesses need users to reach product comparisons and buying guides.
- Subscription publishers need readers to encounter reporting, analysis, and newsletters.
- Software sites need visitors to download tools, read reviews, or compare products.
- Community sites need new readers to become contributors and members.
The traffic picture is broader than AI Overviews alone
It would be simplistic to attribute every referral decline to generative AI. Search ranking changes, social-media volatility, Google Discover shifts, evolving user habits, and the growth of standalone AI assistants all matter.The Reuters Institute’s 2026 journalism trends report makes that caveat explicit. Its Chartbeat-based aggregate data found that Google organic-search traffic to more than 2,500 sites fell 33% globally and 38% in the United States between November 2024 and November 2025, but it said the precise share attributable to AI Overviews was unclear.
That nuance is important. AI search is part of a wider referral crisis, not the sole cause of it.
Even so, the Reuters Institute found that publishers expect traffic from search engines to decline by an average of 43% over the next three years. The most vulnerable organizations are likely to be those whose content answers routine, highly searchable informational questions: lifestyle advice, weather, TV listings, definitions, basic product comparisons, and utility content. Reuters Institute’s 2026 outlook
Google is responding with more visible links—but the economics remain unsettled
Google is clearly aware that its AI products cannot succeed long term if they are widely viewed as strip-mining the open web.In May, the company announced new AI Search link treatments intended to help people find original articles, trusted sources, firsthand perspectives, and their own news subscriptions. These updates include more inline links, “explore” suggestions for deeper reading, subscription labels, contextual previews, and expanded source visibility within AI responses. Google’s overview of new AI Search links
The concept is sensible. If users see a compelling source title, recognize a publication they already trust, or receive a preview that explains why a link is relevant, they may be more willing to click.
Google says early testing found that people were significantly more likely to click links marked as subscriptions. Google’s AI Search updates for publishers
But the company’s success should be measured with more than source counts or link placements. A page can be technically cited yet economically invisible.
The real questions are:
- How many clicks do AI citations generate?
- Which sites receive those clicks?
- Are clicks concentrated among a few major platforms?
- Do users who arrive via AI search convert, subscribe, buy, or return?
- Which query categories lose the most traditional traffic?
- Does AI visibility compensate for fewer rankings and fewer outbound visits?
That is a useful step, particularly for technical SEO teams attempting to understand whether their content is appearing in AI Overviews or AI Mode. However, the initial reporting emphasis is on visibility, not a fully separated and transparent accounting of referral clicks, click-through rate, downstream conversions, or revenue.
For publishers, visibility alone is not a business model.
What this means for SEO and Windows-focused publishers
The immediate lesson is not that SEO is dead. It is that SEO is being asked to do more than win rankings.Google’s own guidance says there are no special technical requirements or new markup needed to appear in AI Overviews or AI Mode. The same fundamentals still apply: pages need to be crawlable, indexable, helpful, well-structured, technically sound, and built around reliable information. Google’s AI features documentation for site owners
For technology publishers and Windows communities, that leads to a practical strategy.
Build content AI cannot fully replace
Generic answers are easiest for AI systems to summarize. Original work is more defensible.The strongest content includes:
- First-hand testing of Windows features, drivers, hardware, and applications
- Original benchmarks and reproducible troubleshooting results
- Screenshots that show exactly where settings and controls are located
- Version-specific explanations for Windows 11 updates and Microsoft 365 changes
- Community discussions that capture real-world edge cases
- Clear author expertise and a transparent correction process
- Download guides, compatibility matrices, and practical decision tools
Make the source worth visiting
AI citations will be more valuable when the linked page offers something richer than the answer already presented in the summary.For example, a Windows troubleshooting article should not stop at “Run
sfc /scannow.” It should explain:- When that command is appropriate.
- What a successful or failed result looks like.
- What to do next if it does not repair the issue.
- Which related commands may be risky or unnecessary.
- How the procedure differs across Windows versions or enterprise-managed devices.
Track conversions, not only clicks
Google argues that traffic from AI Overviews can be higher quality, meaning visitors may spend more time on-site. Google’s website-owner guidance That claim may be true for some sites and query types, but every publisher should validate it against its own analytics.A smaller number of visitors may still be commercially valuable if they are more likely to:
- Subscribe to a newsletter
- Register for a forum account
- Download software
- Purchase a product through an affiliate link
- Read multiple pages
- Return directly later
The larger risk: an information ecosystem without enough incentive to create information
Google’s position is understandable. Search cannot remain static while people increasingly expect AI systems to synthesize, explain, compare, and assist. If Google refused to change, users could move more of their high-value information work to competing AI products.But the web has a supply-side problem. AI search works best when it can retrieve current, diverse, credible, and well-maintained source material. That material costs money to report, test, write, edit, host, secure, and update.
If the financial value of referral traffic falls faster than publishers can replace it with subscriptions, licensing, direct audience relationships, and new commercial models, the long-term result could be a thinner web. AI systems may still produce fluent answers, but their underlying source base could become more repetitive, less independent, and less rigorously maintained.
That is why Google’s claim of sending billions of clicks must be evaluated not only by volume, but by distribution and sustainability. A referral ecosystem that heavily favors large platforms, social networks, user-generated discussion sites, and a small set of dominant publishers may not adequately fund the specialized sites that answer the web’s hardest questions.
The strongest version of Google’s AI search strategy is not one where AI replaces the web. It is one where AI helps users navigate a better, more discoverable, and more economically viable web.
Google Search is bigger—but the web’s share of the value is the open question
The latest earnings results make one conclusion difficult to avoid: reports of Google Search’s immediate demise were premature. AI Mode, AI Overviews, and Google’s broader Gemini integration are helping the company retain user attention, expand query behavior, and protect the advertising machine that remains central to Alphabet’s business. Google’s Q2 2026 earnings remarksYet “search is growing” and “publishers are benefiting” are not interchangeable statements.
Google may be building a larger search experience in which users ask longer questions, run more comparisons, and complete more research without leaving the results page. That is a genuine product advance for many users, especially when AI provides trustworthy sources and makes complex information easier to understand.
The challenge now is whether Google can prove that its AI-enhanced search growth also produces a healthy flow of traffic, revenue, and recognition for the creators whose work makes those answers possible. If it cannot, AI may make Google Search bigger while making the open web that Search depends on materially smaller.
References
- Primary source: aol.com
Published: 2026-07-23T05:48:29+00:00
AI is actually making Google search bigger - AOL
Sundar Pichai said Google's AI tools have driven growth in search queries, and search revenue increased by 17% in the latest quarter.www.aol.com - Related coverage: blog.google
How AI Mode is changing and expanding the way people search
One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries.blog.google - Related coverage: pcgamer.com
'AI Mode has been a revelation, our biggest upgrade to Search ever. People love it,' says Google CEO | PC Gamer
But I still think there's an AI industry bubble that could burst.www.pcgamer.com - Related coverage: developers.google.com
