Tag: Google AI Mode

  • U.S. Google Searches Drop: The Impact of AI on User Behavior

    U.S. Google Searches Drop: The Impact of AI on User Behavior

    I recently came across a fascinating Datos/SparkToro report revealing a significant change in our search habits. It’s no surprise that U.S. Google users are searching less than they did a year ago. While Google isn’t losing users, it’s clear they’re experiencing fewer repeat searches.

    Why this matters to me. Google still reigns supreme in the search world, but fewer searches mean dwindling opportunities for clicks, ads, and traffic—even if the total search volume seems stable.

    The numbers speak for themselves. The report showed a nearly 20% year-over-year decline in desktop searches per U.S. user, based on data from millions of users.

    • This sharp decline is unlike the European trend, where searches only fell by 2-3%.
    • Despite fewer searches per person, traditional search still constitutes about 10% of all U.S. desktop activity—a share that held steady throughout 2025.

    Reasons behind the drop. The rise of AI-powered answers and instant results appears to be the main culprit:

    • Users now get the information they need without conducting multiple follow-up searches.
    • Zero-click searches remain high but have leveled off in the low-20% range by year-end.
    • Little change is observed in repeat searches and clicks within Google-owned properties, hinting at a plateau in user behavior.

    The reshaping of search by AI. AI isn’t pulling users away from search; rather, it’s enhancing it. Despite ongoing AI buzz, the report discovered:

    • AI tools contribute to less than 1% of total U.S. desktop activity (0.77%), though they’ve seen remarkable growth.
    • Google AI Mode remains small, accounting for about 0.06% of U.S. desktop events by December, with steady adoption increase.

    Query evolution. One notable behavior change is how we phrase our searches:

    • Mid-length queries of six to nine words are increasing rapidly in the U.S.
    • Very long queries (15 words or more) are still rare but show significant experimentation and volatility.
    • People seem to find it easier to express complex needs directly in their searches.

    Discovery becomes a challenge. With concentrated search-driven discovery, breaking into post-search destinations is tougher:

    • YouTube, Reddit, Amazon, Wikipedia, and Facebook remain dominant.
    • ChatGPT soared to No. 7 among U.S. search destinations, a rare significant mover.
    • Meanwhile, Quora has fallen out of the top 15.

    AI’s few dominators. AI-driven traffic largely directs users to already established platforms like Google, YouTube, GitHub, and Wikipedia rather than new or independent publishers. When it comes to AI platforms:

    • ChatGPT is the leading tool in the U.S., reaching around one-quarter to one-third of desktop AI users.
    • Google’s Gemini emerged as a strong No. 2, consistently growing throughout 2025 and surpassing DeepSeek.
    • Other tools like Claude, Perplexity, and Copilot stay niche with modest reach.

    Industry insight. Rand Fishkin, co-founder and CEO of SparkToro, highlighted in the report:

    “The big highlight here is the decline in # of Google searches/searcher from 2024–2025. It’s a nearly 20% decline in the US, though only 2–3% in the EU/UK. Other studies have shown that Google is sending less traffic than in years past, especially to the long-tail of the web, and I suspect that AI answers have dramatically altered the way many users engage with Google, answering their questions before they ever need to click on an organic result or perform a second/third/fourth search.”

    The complete report. Discover more in the Q4 State of Search report


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlock Seamless AI Conversations in Google Search

    Unlock Seamless AI Conversations in Google Search

    When I dive into Google Search and opt for a follow-up query, I’m seamlessly transitioned into AI Mode, ensuring my experience flows effortlessly into a conversational format. As Robby Stein, Google Search’s VP of Product, noted, this shift enhances the natural progression of our search interactions.

    Globally, these AI Overviews are now powered by Gemini 3 by default, which suggests a significant enhancement in the quality of responses.

    Experience the Transition to AI Mode. I remember reading about when Google started testing this transformative feature last December, and it officially confirmed the early tests in October 2025. Now, when I ask a follow-up question, I’m immediately engaged in a conversation directly in AI Mode.

    Google emphasizes this transition to a conversation as more user-friendly and seamless within the Google Search experience.

    But why this change? During testing phases, it became evident that users, like myself, appreciated a search experience that naturally transitioned into a conversation while maintaining context from AI Overviews, thereby making the search process more helpful.

    Here’s a glimpse of how it operates:

    When I hit “Show more,” AI Mode elegantly overlays the search results. I have the option to return to the original search with a simple click on the X at the screen’s top right corner. Interestingly, all source citations are stripped from this view, presenting challenges for traffic redirection to content creators.

    Gemini 3 Powers AI Overviews. Google has expanded the reach of Gemini 3, making it the standard model for all AI Overviews around the globe. Robby’s message was clear: we’re integrating Gemini 3 to deliver premier AI responses directly on the search results page, especially when it proves beneficial.

    This represents a shift from a recent announcement where Gemini 3 Pro was dedicated to managing complex queries in English for specific Google AI subscriptions.

    Now, with Gemini 3 as the go-to model for AI Overviews worldwide, I’m curious about its global impact.

    Why It Matters to Me. While Gemini 3 promises enhanced responses for AI Overviews, the pivotal change is the redirection of follow-up inquiries into AI Mode from Google Search’s AI Overviews. This shift indicates a potential decrease in clicks leading from Google Search to publisher sites, nudging searchers like me directly into AI Mode.

    AI Overviews frequently feature prominently in search results, making it challenging to capture clicks from those citations. With this new follow-up experience, it seems my journey from search to source might get even more streamlined towards AI Mode rather than content creators’ sites.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlock Personal Insights with Gemini: Connect Your Google Life

    Unlock Personal Insights with Gemini: Connect Your Google Life

    I’ve discovered a game-changer in how I interact with my Google ecosystem. With the beta release of Google’s new ‘Personal Intelligence’ in the Gemini app, I can now get personalized responses that take my searches, emails, photos, and YouTube history into account. This is all part of Google’s push to integrate our online experiences into one cohesive tool.

    Google announced, "Launching as a beta in the U.S., this marks our next step toward making Gemini more personal, proactive and powerful." They plan to extend this innovation to Search in AI Mode soon, enhancing how we access and process information online.

    Before, Gemini could retrieve data from various Google apps; now, with Gemini 3, it reasons with the data to provide insightful recommendations proactively. This progress feels like a leap into the future.

    Check it out: Here’s a video showcasing how this integration works:

    Availability: This feature is being rolled out to U.S. subscribers of Google AI Pro and AI Ultra, promising full availability within the week. Once enabled, it can be used across Web, Android, and iOS platforms, expanding soon to more countries and the free user tier.

    This innovation is exclusively for personal Google accounts right now, excluding Workspace users. However, with rising demand, expansion seems inevitable.

    Privacy, Control, and Personalization: I’m thrilled that Google prioritizes my privacy. These features are off by default, allowing me to decide when to connect my apps. When apps are connected, personalization does not blanket all responses.

    I appreciate how I can manage personalization settings: connect some apps, keep others out, and handle past chats. There’s also an option to give feedback if the personalization doesn’t quite hit the mark.

    Why It Matters: The integration into AI Mode in Google Search means personalized experiences could transform how visible we are on these platforms. Tracking AI-driven results might become tricky, but the potential benefits make it worth exploring.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unveiling Google’s 2025 Core and Spam Updates in Review

    Unveiling Google’s 2025 Core and Spam Updates in Review

    Reflecting on Google’s 2025 algorithm adventures, I’m reminded that fewer confirmations don’t equate to less excitement in search rankings.

    Google rolled out four confirmed algorithm updates this year, including three core updates and one spam update. Interestingly, this is a decrease from prior years—seven updates in 2024 and nine in 2023.

    Fewer updates confirmed, more surprises for search. Google might be confirming fewer updates, but that doesn’t mean there are fewer changes under the hood. As they’ve stated, not all core updates are announced, and I’ve experienced plenty of volatility tracking all the unconfirmed tweaks.

    I’ve followed numerous unconfirmed updates on the Search Engine Roundtable, making 2025 a year of unpredictability despite fewer confirmations.

    Google confirmed algorithm update summary

    Here’s a timeline that visualizes all these exciting developments in 2025, showcasing the rollercoaster of changes throughout the year.

    Three Google core updates in 2025. Spread over the months, we saw these core updates rolling out in March, June, and December.

    March 2025 core update. The journey began on March 13, taking 14 days to unfold by March 27. Google assured us it was a routine core update, enhancing search results.

    It was reminiscent of prior updates, as reflected in historical data.

    June 2025 core update. Commencing on June 30 and concluding by July 17, this update repeated the thematic improvements seen previously, capturing further interest.

    Intriguingly, some sites reported partial recoveries post-update, signifying its intense impact.

    ```json
{
  "alt": "Timeline of Google search ranking algorithm updates for 2025 with dates highlighted against a background.",
  "caption": "Explore the timeline of Google's 2025 search ranking algorithm updates, detailing core and spam updates occurring throughout the year.",
  "description": "This image presents a timeline of Google's search ranking algorithm updates for 2025. Key updates include core updates on March 13, March 27, June 30, and July 17, alongside a spam update on August 26 and September 22. Another core update is scheduled for December 11. The visual uses a color-coded system to differentiate between update types, enhancing clarity and understanding. Keywords: Google, search ranking, algorithm updates, 2025."
}
```

    December 2025 core update. Starting on December 11, its rollout remains incomplete, but it’s consistently producing expected outcomes across the board.

    The updates stirred considerable volatility, particularly noted during weekends like December 13th and December 20th.

    One Google spam update in 2025

    August 2025 spam update. Launched on August 26 and concluded by September 22, this update rapidly impacted site rankings and thankfully, some saw recoveries.

    The spam update remembered for its quick impact: changes manifested within 24 hours and fluctuated again around September 9.

    Other Google algorithm changes, updates, tweaks or topics

    In addition to core and spam updates, myriad updates across the year conditioned search engines and users alike.

    Google Search bugs. Known bugs marked the year, with key highlights:

    • Server issues emerged briefly in June.
    • August involved a crawling bug, which took days to resolve.

    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • How Google’s AI Enhancements Improve Search Engagement

    How Google’s AI Enhancements Improve Search Engagement

    In recent developments, I discovered that Google has announced updates to its AI Mode link features and expanded the Web Guide test to the ‘all’ tab on the search interface.

    I noticed that Google is actively improving links within AI Mode to make searchers more inclined to click. They’ve now expanded the Web Guides labs test into the all tab, though participation still requires opting into the experiment.

    Links in AI Mode. Robby Stein, Google’s VP of Product for Search, shared that they’re increasing the number of inline links in AI Mode and refining their design to enhance usability. Google has been experimenting with inline links and contextual links, and now some of these user experiences are officially rolling out. Stein had mentioned back in August that these features would see the light, and here they are.

    Additionally, Google’s adding contextual introductions to the embedded links in AI Mode responses. These brief statements help you understand why a particular link could be beneficial to explore.

    Here’s a visual representation:

    Expanding Web Guide to all tab. Google first introduced its Web Guide within the ‘web’ tab for those participating in the experiment. Now, this feature is accessible through the ‘all’ tab of Google Search, still requiring experiment opt-in.

    I remember observing Google testing Web Guide in the all tab earlier, and now it’s officially part of the experience.

    ```json
{
  "alt": "Google search results for vintage decor ideas, highlighting budget-friendly articles and tips.",
  "caption": "Discover how to transform your home with affordable vintage decor tips from these curated articles and guides!",
  "description": "The image displays Google search results for vintage decor ideas, emphasizing budget-friendly solutions. It includes articles on repurposing furniture, displaying collections, and using secondhand finds to enhance home décor. Suggestions focus on affordable DIY projects and architectural updates like molding to achieve a vintage aesthetic. Keywords include vintage decor, budget-friendly, DIY, secondhand shopping, and home aesthetic."
}
```

    According to Google’s statement, “We’ve heard positive feedback from users and websites about Web Guide, as it helps in discovering new links and uses AI to organize these links into helpful topic groups.”

    Google also says they’ve optimized Web Guide to be twice as fast, adding to its efficiency.

    What is Web Guide. As per Google’s explanation, Web Guide groups web links in useful manners. This allows pages related to specific facets of your query to be compartmentalized effectively.

    “Web Guide utilizes a custom version of Gemini to better interpret both search queries and web content, enhancing its ability to bring up pages you might not have found before,” Google explained to me.

    Additionally, Web Guide employs a query fan-out technique, similar to AI Mode, which launches multiple related searches at once to deliver more relevant results.

    Why it matters. The enhancement of link engagement through Google’s AI features like AI Mode and AI Overviews is a positive move. I hope this leads to boosted traffic for publishers and website owners.

    Web Guide is also a feature that’s gaining appreciation in the search marketing realm. I’m hopeful that Google can eventually offer this experience without needing opt-ins via the Search Labs.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Google Firmly Denies 2026 Ad Plans for Gemini AI

    Google Firmly Denies 2026 Ad Plans for Gemini AI

    Recently, I stumbled upon claims that Google is planning to introduce ads to its Gemini AI chatbot by 2026. However, Google’s top executive has firmly denied these rumors.

    The Buzz: According to AdWeek, Google supposedly informed major advertisers that Gemini is set to feature its own ad slots in 2026—distinct from AI Mode’s current ads. Could this mean something big is on the horizon?

    On these calls, advertisers were curious but noted a lack of concrete details or prototypes.

    Google’s Rebuttal: Dan Taylor, the VP of Global Ads at Google, took to X, flatly dismissing these claims. He insisted, “There are no ads in the Gemini app and no plans to change that.”

    Why This Matters: As advertisers, we are on the edge of our seats, wondering how AI interfaces like Gemini might change the ad landscape. Could an ad-supported chatbot alter advertising strategies and user interactions dramatically?

    ```json
{
  "alt": "Social media post refutes claims about ads in the Gemini app.",
  "caption": "Dan Taylor addresses unfounded rumors, confirming no ads in Gemini app.",
  "description": "Screenshot of a social media post by a user named Dan Taylor. The tweet disputes rumors from anonymous sources about the presence of ads in the Gemini app, asserting there are no current plans for ads. The post is timestamped at 7:30 PM on December 8, 2025, with 194 views. This image highlights a public statement addressing misinformation about app advertising practices."
}
```

    Discussions are already underway about whether AI chatbots should solely serve as utility tools or evolve into revenue-generating platforms. Even whispers of ads in Gemini drive agencies to consider future possibilities.

    Moving Forward: Google’s stance is clear; for now, Gemini remains ad-free. Yet with competitors exploring monetization avenues, we must watch this space closely. The conversation about ads in Gemini is far from over.

    Read More: EXCLUSIVE: Google Tells Advertisers It’ll Bring Ads to Gemini in 2026


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Explore AI Mode in Google Discover’s Latest Update

    Explore AI Mode in Google Discover’s Latest Update

    As I dive into articles on Google Discover, I’ve noticed Google encouraging the use of AI Mode. This isn’t just specific to articles on Discover; it applies to any webpage I’m viewing through the Google Android app.

    I’ve observed that Google is integrating AI Mode features into Google Discover. These features allow me to summarize, ask follow-up questions, and explore more deeply into topics once I’ve started reading a story. It’s intriguing to see how Google is keen on directing users into this AI-driven environment.

    Specifically, I’ve learned that this isn’t limited just to Google Discover. It’s also available on the Google App for Android, offering AI Mode options for any page I visit.

    ```json
{
  "alt": "Mobile browser screen showing an article on GamesRadar with a dropdown menu for browser options.",
  "caption": "Navigating the mobile web: A GamesRadar article on cinema with a handy browser dropdown menu for efficiency.",
  "description": "The image captures a mobile browser displaying a GamesRadar article about film director James Cameron. A dropdown menu on the right offers several browser options like copying links, translating pages, and using AI. The interface highlights the blend of reading and browsing efficiency on mobile devices, ideal for users interested in film and technology. Keywords: mobile browser, GamesRadar, James Cameron, dropdown menu, AI mode, film news."
}
```

    How it works. Once I click into an article from the Discover feed, there’s a menu with options after tapping the three dots at the top right corner. These include:

    • Summarize with AI Mode
    • Ask a follow-up with AI Mode
    • Dive deeper with AI Mode

    Damien (adell) shared a video on X showcasing these features in action. Here’s a screenshot from the video, along with the embedded video itself:

    Why we care. It’s clear that Google is determined to steer users towards Google Discover. It does so by leading them from various entry points like Google Search, AI Overviews, and more. After I’ve been directed to a site, Google then enables me to utilize AI Mode to access a sophisticated, AI-enhanced version of the article.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Discover How Google AI Mode Drives 69% of Transactional Clicks

    Discover How Google AI Mode Drives 69% of Transactional Clicks

    AI-generated answer

    I’ve explored recent UX testing that reveals Google AI Mode doesn’t eliminate high-value clicks. Users still visit websites when choosing services like doctors and dentists.

    In the SEO world, there’s a prevailing belief: Google’s AI Mode fails to drive traffic. The worry is that if it becomes the default search tool, websites might miss out on crucial clicks.

    However, there’s a catch—most studies highlighting traffic loss focus on informational queries.

    Imagine someone curious about the appearance of basal cell carcinoma; AI might indeed reduce those clicks.

    But what about when someone needs to book an appointment with a dermatologist?

    No studies had ventured into this territory yet, so I took the initiative.

    I conducted the first UX study focusing on transactional intent within AI mode, observing 52 participants across the U.S. and Canada over nearly 22 hours as they searched for high-commitment services.

    Here’s what I uncovered.

    1. 69% of AI Mode Users Visited a Website

    During transactional searches, such as finding a dentist or dermatologist, 69% of sessions in AI Mode led to a website visit.

    Through our study, only 27% felt “ready to make a decision” solely from the AI summary, with 4% checking traditional Google Search and social media for more info.

    ```json
{
  "alt": "Bar chart comparing website visits versus staying in AI Mode.",
  "caption": "AI Engagement: A bar chart reveals the comparative data between users visiting a website and those remaining in AI Mode, highlighting engagement patterns.",
  "description": "This bar chart illustrates a comparison between users who stayed in AI Mode versus those who visited a website, showcasing engagement levels. The 'Stayed in AI Mode' bar is shorter. Conducted by Sagapixel Healthcare Marketing, the study provides insights into user behavior and digital engagement metrics. Relevant for understanding AI interaction trends."
}
```

    Users rely on AI Mode to form a consideration set rather than to follow its directive blindly.

    2. Being Ranked #1 Isn’t the Ultimate Win

    For decades, holding the top SEO spot was like hitting the jackpot.

    AI Mode has redefined this dynamic: in our study, 89% of users clicked on multiple businesses.

    Users aren’t looking for just one suggestion; they want a selection to consider. On average, participants checked 3.7 results per session, and only 10% looked at just one business.

    This shift is enormous.

    You no longer need to expend all efforts to be at the top but rather aim to secure a spot within the top three to five results. Clicking the competitors is common, too.

    3. 16% of Users Trust Above-the-Fold Content

    It’s often assumed users don’t scroll.

    This isn’t true for AI Mode users. 84% of participants scrolled down to explore options.

    Because AI results are seen more as curated lists, users are keen to browse and find the best fit.

    ```json
{
  "alt": "Bar chart showing the number of businesses checked in AI mode against the number of searches, with data from 1 to 10 businesses.",
  "caption": "Explore how AI mode influences the number of businesses checked per search in this insightful bar chart. Discover patterns and trends in business searches.",
  "description": "This image displays a bar chart titled 'Number of Businesses Checked in AI Mode.' The chart shows varying levels from 1 to 10 businesses checked, with the highest number seen in the lower business range, tapering off towards higher numbers. The y-axis represents the number of searches up to 40. Conducted by Sagapixel Healthcare Marketing, this visual provides insights into consumer behavior in AI search contexts."
}
```

    4. Reviews Outweigh Photos in Influence

    Only 21% of users looked at photos in Google Business Profiles, even for services like Botox, which saw a slight increase to 24%.

    What’s the main draw for clicks? Social proof.

    74% of users read reviews before deciding, emphasizing the weight of textual information over visuals.

    The Verdict: AI Mode Won’t Take All Your Traffic

    Crucially, AI Mode won’t strip you of your most valuable traffic: those ready to invest in your services.

    With AI Mode, it’s essential to reframe how we view SEO goals:

    • Old goal: Rank #1 or risk being overlooked.
    • New goal: Aim for the top 5 and secure the click with strong social proof (via reviews).

    If your business depends on ‘how-to’ traffic, there might be cause for concern.

    However, if you’re a local business leveraging local SEO, remain calm.

    The study: 69% of Transactional Searches in AI Mode Drive Traffic


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlocking AI Mode: Google Search’s New Upload Feature

    Unlocking AI Mode: Google Search’s New Upload Feature

    Lately, I’ve noticed an intriguing change on the Google homepage. You can now upload a file or an image directly into the search bar, and it thrusts you straight into AI Mode. It’s a fascinating shift from the usual image search results via Google Lens.

    This development steers us away from traditional search experiences towards a more captivating AI-driven interaction. When you upload an item, you’re directly immersed in AI Mode rather than sifting through Google Search with mere image results.

    What it looks like. Check out a brief video I created to illustrate the flow of using this feature:

    More AI Mode. Google is clearly nudging us towards their AI Mode innovations. They’ve even started integrating AI Mode within the Chrome omnibox, and the tab is always strategically placed on the left. It feels inevitable that AI Mode might soon become the default Google search interface.

    In the past, we speculated about Google’s transition to fully adopting AI Mode as the default experience. Although Google dismissed these claims initially, current trends suggest they’re moving in that direction.

    Why we care. As users, adjusting to AI Mode is crucial for setting the right expectations. AI Mode offers a distinct experience compared to traditional search results, potentially impacting how frequently users click on search outcomes.

    It’s essential to assess how well you’re positioned within AI Mode and prepare for its different interaction style compared to customary Google Search.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Gemini 3 and Nano Banana Pro Now Reach 120 Countries

    Gemini 3 and Nano Banana Pro Now Reach 120 Countries

    After only releasing in the U.S. a few weeks ago, I’m excited to share that Gemini 3 is now available in 120 countries worldwide for English searches.

    Gemini 3 launched in AI Mode recently, and now it’s thrilling to see Google expanding it to numerous countries and territories. Robby Stein from Google mentioned, “Gemini 3 is now accessible in AI Mode, covering nearly 120 regions in English.”

    Exploring AI Mode with Gemini 3. Google has introduced AI Mode in Search, which employs Gemini 3 to deliver new, dynamic UI experiences. Imagine immersive visual layouts and interactive tools generated instantly based on your search query!

    With its capability for complex reasoning, Gemini 3 enhances Search by providing dynamic experiences designed to make our searches more intuitive and engaging.

    Just last week, Google started automatically using Gemini 3 for selected AI Mode queries, marking a new era for search intelligence.

    More Insights. According to a recent Google blog post, “We are bringing our smartest model, Gemini 3, to AI Mode in Google Search in nearly 120 countries and territories in English.”

    This expansion presently caters exclusively to Google AI Pro and Ultra subscribers, offering them a more interactive and enriched search experience.

    Google explains, “With this expansion, it’s now simpler to pose any question and quickly gain a deeper, more useful understanding.”

    Update on Nano Banana Pro. Google is also introducing the “latest generative imagery model, Nano Banana Pro, to AI Mode in additional English-speaking countries, making it available today for Google AI Pro and Ultra subscribers.”

    Why This Matters. Google’s continuous updates, both in terms of visuals and user experience, aim to make AI Mode the search experience Google envisions. As Google’s efforts to entice users into AI Mode continue, it’s clear they’re committed to refining that experience to meet their high standards.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot