Tag: Google Search

  • Behind the Scenes at Google I/O 2026: Unveiling Hidden Innovations

    Behind the Scenes at Google I/O 2026: Unveiling Hidden Innovations

    Attending Google I/O 2026 for the first time felt like stepping into a realm of boundless energy and optimism, almost as thrilling as witnessing a crowning ceremony.

    The initiatives launched last year have transformed into robust pillars of growth. Ask Maps, for instance, has become the blueprint for introducing Ask YouTube. Gemini 3.5 Flash fuels Antigravity, akin to Claude Code but under Google’s banner, and Googlers are already harnessing it to construct the exciting features shown on stage.

    The pace of innovation was breathtaking, everything rolled out swiftly and assuredly.

    Every announcement seemed to cater to a diverse audience.

    • Gemini Omni was likened to Nano Banana but designed for video content (see this strange proof).
    • Smart glasses are making a much-discussed return.
    • There are video game-like experiences that can be instantly prompted and played.
    • The capability for Workspace to bring documents to life with mere conversations.
    • A feature allowing the transformation of Google Maps images into surreal dreams seems more like a solution waiting for a problem, perhaps for Hollywood studios looking to bypass on-location shoots?
    • I even have Gemma on my phone, enabling in-flight conversations with a smaller model. (Thanks to American Airlines’ free Wi-Fi, I’m all set.)

    And yet, the most intriguing element remains to be addressed.

    Gemini and Search: Converging Evolution

    Gemini is beginning to resemble Search, while Search is adopting features of Gemini.

    Both platforms now include features that satisfy similar needs: keeping tabs on the web and alerting users when something of interest arises.

    In Search, these are known as information agents. In Gemini, they go by Spark or Daily Brief. The connection is unmistakable.

    ```json
{
  "alt": "Large tech presentation with speaker on stage, introducing 'Ask YouTube', to a full audience.",
  "caption": "Innovation takes the stage as 'Ask YouTube' is unveiled in front of an excited crowd, promising new features available this summer.",
  "description": "A large tech event features a speaker presenting 'Ask YouTube' on a massive screen, announcing its availability in the U.S. this summer. The venue is packed with attendees capturing the moment on their devices. Stage lighting and modern design elements underscore the futuristic theme of the event. This announcement is part of a wider tech conference, drawing a diverse crowd eager for new advancements. Keywords: tech presentation, Ask YouTube, innovation, audience, event."
}
```

    I asked a product manager about their approach to long-term feature management and overlapping utilities. Their response was simple: “Right now, it’s all about velocity.”

    Shipping fast is the mantra shared by three other product managers, all behind key I/O features initiated and deployed within this whirlwind year, 2026. It’s astounding.

    The product manager elaborated, “Velocity is achieved through reduced managerial overhead.”

    This implies jumping on board quickly and figuring out the finer details later.

    Once You See It, You Can’t Unsee It

    Armed with this understanding, the rest of the day wore a new perspective. The demos were impressive, yet I pondered: what’s the next step with these innovations?

    Though I now have Gemma on my phone, one developer couldn’t provide a tangible day-to-day use case. I witnessed AI Mode’s monitoring prowess by prompting it to “keep me updated.” Despite seeing the connection of components, my questions about managing these alerts as they age went unanswered, indicating it’s still an early-stage demo.

    Many features appear not to address their second-order effects thoroughly. It seems engineers are using these systems at a command line level rather than considering user interfaces.

    A notable point is my current inability to delete old Gemini chats in a web browser, a functionality available in the Mac app.

    ```json
{
  "alt": "Presentation slide detailing shipping timeline for models from 2024 to 2026.",
  "caption": "Unveiling the future: A detailed roadmap showcasing the ambitious shipping timeline for upcoming models.",
  "description": "This image shows a presentation slide with a timeline titled 'Shipping at relentless pace,' outlining shipping schedules for various models from 2024 to 2026. The timeline is divided into columns for each year, highlighting Frontier and Open Models in distinct colors. Audience members are visible, indicating a live presentation setting. Keywords: shipping timeline, presentation slide, future models, live event."
}
```

    Universal Cart Sparks Discussions

    A frequently mentioned feature during I/O was Universal Cart, Google’s new cross-platform shopping protocol.

    My opinion? If you’re Google, it’s an exciting development because, upon adoption, it further solidifies their control over the complete shopping experience. Conversely, for others, this development might be a cause for concern.

    Despite these concerns, the group I conversed with didn’t seem troubled, feeling distanced from the growing anti-AI sentiment in the U.S.

    Speaking with an SEO expert at a major ecommerce brand implementing Universal Cart, they related the velocity comment to their own implementation experience, describing it as feeling rushed.

    The AI Content Guidelines Controversy

    The emphasis on speed helps explain the controversies surrounding Google’s AI content guidelines.

    Just four days before I/O, Google’s Search quality team advised publishers to “write for humans, not AI.” Shortly thereafter, the AI agent team demonstrated capabilities where Google’s own agents browse, interpret, transact, and create web content.

    As Google shifts towards AI handling more tasks, the advice given to publishers starts to sound less sincere.

    Impact on the Web Ecosystem

    I don’t wish to undermine the engineers’ efforts. I communicated my respect for their work directly to them. Building products for search and clients myself, I can relate to frequent criticisms over compliments.

    ```json
{
  "alt": "Screenshot of a menu interface on a digital platform labeled Gemini with options for chat, search, images, and videos.",
  "caption": "Navigate effortlessly with Gemini's sleek menu interface, offering quick access to chats, search options, new image and video features, and more.",
  "description": "This image showcases the menu interface of a digital platform called Gemini. The menu includes options such as New Chat, Search Chats, and new features for Images and Videos. Below, recent items are listed including 'Gemini Spark: Availability and Features' along with options to pin or rename items. The design features a dark theme with white text and icons, providing a modern and user-friendly experience."
}
```

    Still, the potential downside of overlapping features, difficulty in managing or reconciling data could lead to significant technical challenges later. The current AI strategy appears to be: prioritize feature utilization first, reconcile later.

    Nevertheless, I admire Google’s rapid progress and look forward to future developments. Leveraging substantial resources, they can experiment comprehensively to identify successes.

    Regrettably, my enlightening conversation with the product manager was abruptly concluded as we were asked to vacate the premises.

    Spotting the Bright Spots

    Google reports unprecedented high search query volumes. They are enhancing authentication and provenance through SynthID’s expansion into Search and Chrome, welcoming new partners like OpenAI, and integrating C2PA content credential verification.

    These are indeed significant accomplishments.

    However, the relentless pace might lead to unforeseen challenges. My hope is that the quest for speed doesn’t further destabilize the already-fragile web ecosystem.

    In conclusion, it’s undeniably an exhilarating era for search technology.

    Dig deeper.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Build Personalized Apps in Google Search with Agentic AI

    Build Personalized Apps in Google Search with Agentic AI

    Have you ever wanted to customize your Google Search experience? Now you can build your own apps right within Google Search.

    I discovered this amazing feature powered by Google Antigravity and Gemini 3.5, which lets me set up a search feature that delivers exactly the kind of information I need, formatted just how I like it, and sourced from where I trust.

    During this year’s Google I/O, Liz Reid, head of Google Search, unveiled this innovation. She mentioned, “Search can build the ideal response, in the right format for your question – completely on the fly. You’ll get custom generative UI, including visual tools and simulations, tailored to your needs.”

    Exciting Examples

    Imagine creating custom layouts for understanding astrophysics or how your wristwatch works. Google assembles interactive visuals, tables, and real-time simulations to suit your learning style.

    I’ve also been able to manage ongoing tasks like wedding planning or home moves with customized dashboards that act as helpful companions throughout the process.

    Let’s not forget fitness! I asked Google Search to build me a custom fitness tracker. It taps into live data like weather and reviews to keep me on track, making my health goals more achievable.

    Visualizing the Experience

    These custom search experiences, including generative UI examples, will become widely available this summer. I’m particularly excited as they roll out first to Google AI Pro and Ultra subscribers in the U.S.

    Why This Matters

    It’s groundbreaking to have the ability to code mini apps within Google Search, answering questions in ways that are uniquely mine. It’s a level of personalization I’m thrilled about, achievable only through such advanced generative-AI tools.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Explore Google Search’s New Power with Gemini 3.5 Flash

    Explore Google Search’s New Power with Gemini 3.5 Flash

    Today, I’m excited to share that Google has announced the launch of its latest AI model, Gemini 3.5 Flash. This powerful update is now the default engine for Google’s AI Mode, transforming how we experience search every day.

    At the recent Google I/O, I learned about Gemini 3.5 Flash directly from Google’s head of Search, Liz Reid. She described this model as Google’s “newest Flash model delivering sustained frontier performance for agents and coding.” It’s thrilling to know that this technology is now impacting users worldwide.

    What really excites me is that 3.5 Flash doesn’t just enhance AI Mode in Google Search; it also powers the Gemini app for everyone, regardless of whether they are paid users or not. It’s great to see Google making such advancements widely accessible.

    Developers, you’re in for a treat! 3.5 Flash is now integrated into Google Antigravity, Gemini API for Google AI Studio, Android Studio, and more. For those in enterprise, it’s now part of the Enterprise Agent Platform and Gemini Enterprise.

    Koray Kavukcuoglu, CTO of Google DeepMind and Chief AI Architect, shared that Gemini 3.5 Flash rivals the intelligence of large flagship models while providing the speed we expect from the Flash series. It outshines previous models, making remarkable strides in agentic and coding performance benchmarks. I’m truly impressed by its capabilities in multimodal understanding too.

    Why should I care? Well, with Gemini 3.5, Google Search’s AI Mode is smarter and more efficient than ever. I’m eager to explore how AI Mode’s responses evolve, especially for the queries that matter most to my site.

    The rapid changes in search technology mean it’s crucial to stay informed and adaptable. This update reaffirms the importance of keeping pace with Google’s innovations.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Google’s UCP Checkout Revolutionizes Search Shopping

    Google’s UCP Checkout Revolutionizes Search Shopping

    I find it fascinating that Google’s Universal Commerce Protocol (UCP), which was initially limited to AI Mode, is now expanding into regular search results. It’s not just a fleeting trend; some retailers have already begun integrating this technology into their listing pages, making our online shopping experience even more intuitive.

    Earlier this year, Google rolled out UCP for AI-agents to facilitate direct purchases from search results. It first launched exclusively within Google’s AI Mode but now, we’re seeing it implemented in Google’s main search results for retailers who support UCP.

    Discovering what the UCP checkout looks like was made easier thanks to a post by Brodie Clark. He shared a screenshot showing how Wayfair’s listings on Google Search now feature a UCP-powered ‘Buy’ button. This button is a game-changer because it allows purchases directly from Google’s interface without navigating to Wayfair’s website.

    The UCP protocol is paving the way for seamless transactions by establishing a common language for AI agents and commerce systems. No longer do we have to worry about bespoke integrations across different platforms.

    ```json
{
  "alt": "Google search results for striped bed sheet set, featuring various sheet options and prices.",
  "caption": "Exploring online options for striped bed sheet sets? Check out this search showcasing a variety of styles and prices to suit every bedroom decor.",
  "description": "This image shows a Google search result page for 'striped bed sheet set'. Various bed sheets including options from Wayfair, IKEA, and Eddie Bauer are displayed, with prices ranging from $15.99 to $239.00. A highlighted product is the 100% Cotton Sateen Striped Sheet Set from Wayfair in black. The image also features browser and interface elements like search tabs and filters, ideal for navigating online shopping efficiently. Keywords: striped bed sheets, Google search, online shopping, sheet set prices."
}
```

    Collaboratively developed with big names like Shopify, Etsy, Wayfair, and Target, UCP aligns with existing standards, such as Agent2Agent and Agent Payments Protocols, creating a more cohesive digital commerce space.

    What really excites me is the potential for profit growth for retailers who embrace this technology. Although Wayfair might miss out on direct site traffic for specific searches, their affiliation with Google through UCP can still result in conversions.

    While it’s clear that not everyone will bypass the traditional shopping journey, as many of us still prefer exploring products on the retailer’s site, the option to ‘Buy’ directly adds a layer of convenience. It’s definitely something worth monitoring as its prevalence in search results increases.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Google’s Preferred Sources Now Available in Every Language

    Google’s Preferred Sources Now Available in Every Language

    When I learned that Google’s Preferred Sources feature now supports all languages, not just English, I was thrilled. This exciting update means more people can tailor their news experience, regardless of the language they speak.

    According to a recent post on Google’s blog, ‘Preferred Sources is now rolling out globally in all supported languages.’ This gives me, and everyone else, more control over the news we see on Search, allowing us to choose our preferred outlets to appear more frequently in Top Stories.

    It’s fascinating to reflect on how this feature initially rolled out in December, but was limited to English. Now, it’s a comprehensive tool available globally, no matter the language.

    Interesting Stats: Google shared some compelling data with this launch. For instance, readers are reportedly twice as likely to click on a site after marking it as a Preferred Source. Also, over 200,000 unique sites have already been selected by users—from local niche blogs to major global news platforms.

    Preferred Sources: This feature lets me star my favorite publications in the Top Stories section of Google Search. By doing so, Google uses that interest to show more stories from those sources. I learned it started in beta back in June and was initially available in the U.S. and India by August, but now it’s part of a worldwide expansion.

    How it Works: It’s simple! I just click the star icon next to the Top Stories header in my search results. This allows me to pick preferred sources, provided these sites are constantly updating their content.

    Once selected, Google promises to showcase more updates from my favorite sites in Top Stories, provided they have fresh content relevant to my search.

    For more detailed information, I can visit this page.

    Why it Matters: In the competitive area of Google Search traffic, marking my site as a preferred source can make a significant impact. Google indicated these users are twice as likely to engage, which could help in driving more traffic to my site.

    So, I’m adding the preferred source icon to encourage my audience to sign up. If you’re interested, you can make Search Engine Land a preferred source by clicking here.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlocking Google SEO: Master ‘Read More’ Links Best Practices

    Unlocking Google SEO: Master ‘Read More’ Links Best Practices

    I recently discovered that back in December, Google introduced read more links for certain search result snippets on Google Search. Now, Google has shared some best practices to help us utilize these ‘Read More’ links effectively.

    Digging into the Best Practices: To find these new insights, you can check out the documentation posted here. It outlines three essential tips:

    • Ensure the content is instantly visible to human visitors, not tucked away behind tabs or expandable sections.
    • Avoid using JavaScript that governs the user’s scroll position as the page loads. Let your users control their browsing experience.
    • If you’re calling history API functions or modifying window.location.hash on page load, don’t strip away the hash fragment. This could lead to issues with deep linking.
    ```json
{
  "alt": "Abstract representation of a digital list with play, chart, and document icons, each with a 'Read more' button.",
  "caption": "Discover more with this sleek digital list featuring interactive icons and engaging 'Read more' options.",
  "description": "This image displays an abstract digital list interface, featuring play, chart, and document icons. Each entry has corresponding lines symbolizing text, with highlighted 'Read more' buttons in green, inviting users to explore further. The design is clean and modern, making it easy to navigate and visually appealing for digital content presentation. Ideal for illustrating UI concepts in web and app design."
}
```

    Visualizing the Concept: Google provided an image illustrating these links. Here’s a glimpse of how they appear:

    Let me show you an example of these snippets in action:

    ```json
{
  "alt": "Google search results highlighting 'Read more' links in snippets from Search Engine Land.",
  "caption": "Explore new 'Read more' features in Google Search snippets for enhanced accessibility and deeper insights, as displayed in search results from Search Engine Land.",
  "description": "The image depicts a Google search results page focusing on the query 'site:Searchengineland.com google Read more links.' The top results from Search Engine Land show snippets featuring 'Read more' links, illustrated with red arrows, highlighting Google’s integration of these links for extended user engagement. This underscores recent updates to enhance search snippet interactivity. Keywords include Google, search results, 'Read more' links, Search Engine Land."
}
```

    Why It Matters to Us: The introduction of read more links adds an alluring touch to search result snippets. The potential for increased website clicks can be significant. Therefore, reviewing these best practices becomes essential for attracting even more visitors to our site.

    Ultimately, driving more traffic is always a win, so optimizing your site with these tips could prove beneficial.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Google Search to Transform into Your Personal Task Manager

    Google Search to Transform into Your Personal Task Manager

    I’ve been intrigued by how Google Search is set to transform. Sundar Pichai, the CEO of Alphabet, recently shared on the Cheeky Pint podcast that search is moving away from just providing information and answers. Instead, it’s evolving into a dynamic system that can complete tasks for us.

    Why this matters to us: This shift marks Google’s transition from being a tool for information retrieval to becoming an assistant in task execution, which I’m sure will enhance our web interactions significantly.

    Search’s agentic evolution: Sundar Pichai illustrates that our traditional way of searching is already seeing changes, and it’s only going to continue evolving.

    He mentioned, “If I fast-forward, a lot of what are just information-seeking queries will be agentic in Search. You’ll be completing tasks. You’ll have many threads running.”

    Pichai envisions a future where Google Search serves more as an agent manager, coordinating various actions for us. It’s like having multiple agents accomplishing different tasks, allowing us to get so much more done efficiently.

    The CEO notes, “Search would be an agent manager in which you’re doing a lot of things. I think in some ways, I use Antigravity today, and you have a bunch of agents doing stuff. I can see search doing versions of those things, and you’re getting a bunch of stuff done.”

    AI Mode’s impact: Pichai highlights that users are adapting their search behavior with Google’s AI functionalities. Even now, people perform deep research queries that redefine traditional search activities, implying that we’re already on a path to using search for more complex, long-running tasks.

    He explains, “But today in AI Mode in Search, people do deep research queries. That doesn’t quite fit the definition of what you’re saying. But people adapted to that. I think people will do long-running tasks.”

    Search and Gemini coexistence: Despite the introduction of Gemini, Sundar assures us that Google Search isn’t going anywhere. Instead, both will coexist and evolve together, balancing between some areas of overlap and profound divergence. This dual strategy aims to enhance how we utilize these technologies daily.

    “We are doing both Search and Gemini. They will overlap in certain ways. They will profoundly diverge in certain ways. I think it’s good to have both and embrace it,” he shared.

    The full interview: For more insights, you might want to watch The history and future of AI at Google, with Sundar Pichai on YouTube.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Discover How Google Ads Now Appear in Mobile Image Searches

    Discover How Google Ads Now Appear in Mobile Image Searches

    I’ve recently discovered that Google has begun integrating sponsored ad units directly within the Images tab of mobile search results. This exciting new placement is accessible to eligible campaigns without requiring any changes to their existing keyword targeting.

    What’s happening? Every time I check the Images tab on Google Search via mobile, I may now encounter sponsored units tucked within the image grid. Each ad displays a complete image creative as the primary visual element alongside text, and it is prominently labeled “Sponsored,” aligning with Google’s standard ad labeling throughout search results.

    How it works. It amazes me how eligible campaigns can seamlessly serve into the Images tab without altering any keyword targeting or campaign structure. This placement leverages existing image assets, positioning advertisers who run Search or Performance Max campaigns with compelling visual creatives to gain the most. Thankfully, there’s no need to set up separate image-only campaigns.

    Why it matters to us. This move significantly expands Google’s paid search real estate. For those of us engaged in product-led or catalog-heavy advertising, the Images tab is crucial, as it often serves as the starting point for purchase-intent discoveries — and now, our ads can appear right in that moment. If we are using robust image assets in our campaigns, we might be enjoying incremental impressions without any effort on our part.

    ```json
{
  "alt": "Google image search results for women's tennis shoes, highlighting an ASICS sponsored ad.",
  "caption": "Discover the latest in women's tennis shoes with this ASICS ad showcased in Google Image Search results.",
  "description": "This image displays a Google Image Search screen with results for women's tennis shoes. Among various shoe options, a highlighted ASICS Gel-Challenger 15 sponsored ad is featured, priced at €89.95. The ad is framed in orange, and an overlay introduces Matteo Braghetta, labeled as an Advanced PPC Marketing expert. This image exemplifies online product advertising and search optimization strategies."
}
```

    The big picture. I’m noticing that this placement behaves more like a visual discovery surface rather than traditional paid search. While we should expect high impression volumes, the click-through rates might be lower, similar to display or Shopping ads instead of conventional text ads. Yet, the assist value in multi-touch conversion paths could be quite significant, especially for retail and direct-to-consumer brands. It’s an upper-funnel reach strategy, not a last-click channel.

    What we should watch. Even though Google hasn’t officially announced it, nor is there a specific reporting breakdown for these Image tab placements yet, it’s crucial for us to monitor our impression share and segment data closely. This will help us understand its contribution, and whether it impacts organic image visibility for our competitors.

    First seen. The innovative placement was first noticed by Google Ads Expert Matteo Braghetta, who shared this update on LinkedIn. At the time of writing, Google hasn’t published any official documentation regarding this development.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Discover iOS Comet Browser: Blending Google Search & AI Excellence

    Discover iOS Comet Browser: Blending Google Search & AI Excellence

    I’ve recently discovered Perplexity’s innovative Comet browser for iOS, which defaults to Google Search. It makes perfect sense, given that mobile users typically focus on navigating, finding local results, and completing transactions. As Perplexity CEO Aravind Srinivas points out, “Google does a much better job … than anyone else … including Perplexity.”

    Comet for iOS. This browser integrates Perplexity’s AI assistant directly, providing a seamless experience. It cleverly merges AI-generated answers with standard search outcomes, so for numerous queries, you won’t miss the familiar results page.

    While browsing, I can query using my voice, which is incredibly convenient. The assistant’s capabilities include summarizing entire pages, answering questions, and even drafting emails on my behalf.

    One feature I find particularly useful is Deep Research, which generates cited summaries and prepares materials tailored for serious inquiry.

    What Comet does. The assistant can take action on my behalf. Among other things, it excels at summarizing articles and sharing outputs, researching people or topics across tabs, and assisting with bookings or filling out forms. It’s like having a digital personal assistant ready at all times.

    What Perplexity is saying.

    “The search experience in Comet iOS provides traditional search result pages for fast, local, and high-intent queries that are more common on mobile. Meanwhile, the Comet Assistant easily allows for more advanced knowledge and intelligence powered by the Perplexity answer engine. The intention is for users to have the smoothest browsing experience possible for the real use cases of iOS.”

    Why we care. As search continues to evolve towards hybrid models, optimizing for both traditional Google results and AI-generated responses becomes crucial. This shift underscores Google’s stronghold in commercial and local search, while driving the competition into the AI domain.

    The announcement. Comet is Now available on iOS


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Discover Google’s Personal AI Now in Search, Gemini & Chrome

    Discover Google’s Personal AI Now in Search, Gemini & Chrome

    I’ve got some exciting news to share about Google’s latest developments! They’re expanding their innovative Personal Intelligence feature across AI Mode in Search, the Gemini app, and in Chrome—specifically for U.S. users.

    Google’s Personal Intelligence now moves beyond its beta phase, reaching more everyday users. It’s an exhilarating step toward a truly personalized search experience, thanks to clever use of first-party data like Gmail and Photos. This shift makes search outcomes more personalized and unique, especially in AI Mode, where results adapt to individual user behaviors, previous purchases, and search histories.

    Why I care

    Google’s push into personalized search fascinates me. It’s creating a landscape where search results become increasingly individualized, but consequently harder to predict or replicate.

    The details

    Personal Intelligence will now function across:

    • AI Mode in Google Search (available now in the U.S.)
    • Gemini app (currently rolling out to free users)
    • Gemini integrated in Chrome (ongoing rollout)

    How it works

    I can connect applications such as Gmail and Google Photos, allowing Google to give me personalized responses. Some of the cool examples I’ve come across include:

    • Shopping suggestions rooted in my buying habits and favorite brands.
    • Tech troubleshooting aided by receipt details for the exact devices.
    • Travel tips tailored to my flight schedules and past getaways.
    • Custom itineraries and local recommendations.
    • Hobby proposals based on my interests.

    Availability

    It’s worth noting that these features are reserved for personal Google accounts and won’t extend to Workspace users—for now, at least.

    Want to know more?

    You can check out the details on the ad-free promise Google made for AI Mode users here.

    Catch-up quick

    Originally, Google introduced Personal Intelligence for Gemini subscribers in January with limited access to AI Pro and Ultra users. At that point, it hadn’t been integrated with Search—something they’ve since rectified.

    • Initially, the feature was optional and off by default.
    • New updates deliver on Google’s plan by making it part of Search AI Mode.
    • They’re rapidly expanding access to more users, even for free accounts.
    • Plus, it’s now merging into Chrome.

    Privacy and control

    Google emphasizes user choice:

    • Opt-in is required to connect apps like Gmail.
    • Users can enable or disable connections whenever they choose.
    • Importantly, Gmail and Photos content isn’t directly used to train AI models.
    • However, Google may use limited data like prompts and responses to enhance their systems.

    For further reading, check out Google’s blog post on this impressive expansion of Personal Intelligence here.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot