Google Maps navigation missing media controls on Android [Update: Fix coming] – 9to5Google

After the deprecation of Assistant Driving Mode earlier this year, Google Maps is now missing media playback controls for YouTube Music and Spotify on Android.
Update 7/21: Google tells us today that it is “actively working to fix an issue that is affecting media playback controls on Google Maps.” The disappearance was just a bug.
Original 7/19: With the removal of Driving Mode, users had to use the “Show media playback controls” feature that works with apps like YouTube Music and Spotify. 
When navigating, this extends the bottom sheet with a bar that has album art, song name, and artist at the left. In addition to playback controls at the right, tapping “Browse” shows nine suggestions to quickly switch. There’s also a shortcut to “Open YouTube Music.”
Enabling this blocks the bottom half of the “Report” button, but it’s still tappable. 
Old vs. new
As of Google Maps 25.28 (stable) and 25.29 (beta), these media controls have disappeared over the past week or so. Settings > Navigation loses the “Show media playback controls” toggle and “Default media app” option. 
It’s unclear whether this is a bug as the feature remains available on iOS today. Without  Assistant Driving Mode, Google Maps really should provide easy access to media controls. Hopefully, this is not an intentional removal. 
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Local SEO Search Announces Customized SEO Strategies Tailored to Diverse Industry Needs – openPR.com

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Google Chrome iOS Update Enables Seamless Personal and Work Profile Switching for Enhanced Security – WebProNews

Google has rolled out a significant update to its Chrome browser on iOS, enabling users to seamlessly switch between personal and work profiles. This feature, long available on Android and desktop versions, addresses a persistent pain point for iPhone and iPad users who juggle multiple Google accounts. The update allows for quick toggling with just two taps, ensuring that browsing data, bookmarks, and history remain segregated between personal and enterprise-managed accounts.
The functionality is particularly geared toward enterprise users, as it integrates with Google’s Chrome Enterprise tools. When signed into a work account, any browsing activity is isolated, preventing it from mingling with personal data. This separation enhances security and compliance, especially in bring-your-own-device (BYOD) environments where employees use personal iPhones for work tasks.
Enhancing Security in a Hybrid Work Era
According to The Verge, the update doesn’t support multiple non-enterprise profiles yet, meaning users can’t create several personal accounts as they can on other platforms. However, for those with a managed work profile, the switch is straightforward: tap the profile icon and select the desired account. This mirrors features in Google’s Workspace apps but brings it directly to the browser level.
Engadget reports that the move comes amid growing demands for better data isolation on mobile devices. With remote work blurring lines between professional and personal life, IT departments have pushed for tools that prevent accidental data leaks. Google’s implementation ensures that enterprise policies, like content filtering or data loss prevention, apply only to the work profile without affecting personal browsing.
User Experience and Limitations
Posts found on X highlight user enthusiasm, with many praising the update for simplifying account management on iOS. One common sentiment is relief from the hassle of logging in and out repeatedly, a workaround that previously risked syncing errors or privacy slips. Yet, as PCMag notes, this is a “limited” form of multiple account support, restricted to one personal and one work profile per device.
The rollout aligns with broader industry trends toward profile-based browsing. Competitors like Microsoft’s Edge have offered similar features on iOS for years, allowing full multi-profile support. Google’s delay, as discussed in 9to5Mac, may stem from Apple’s strict app sandboxing rules, which complicate data separation in third-party browsers.
Implications for Enterprise Adoption
For businesses, this could boost Chrome’s adoption on iOS, where Safari dominates. IT admins can now enforce policies more effectively, ensuring that work-related searches don’t contaminate personal histories or vice versa. The Verge also points out potential for future expansions, such as support for multiple personal profiles, which could make Chrome a stronger contender against native iOS options.
Industry insiders see this as part of Google’s push to unify its ecosystem across platforms. With Android already supporting robust profile switching, iOS parity reduces fragmentation. However, limitations persist: no incognito mode integration across profiles, and setup requires an enterprise-managed account, excluding casual users with multiple personal Gmail addresses.
Looking Ahead: Privacy and Competition
As hybrid work evolves, features like this underscore the need for granular control over digital identities. Recent web searches reveal similar updates in other apps, like Microsoft’s Teams, signaling a competitive race for secure, user-friendly tools. Google might extend this to full multi-profile support, potentially in response to user feedback on platforms like X, where demands for parity with desktop Chrome are vocal.
Ultimately, while not revolutionary, this update marks a step toward a more integrated browsing experience on iOS. For professionals, it means less friction and more peace of mind, potentially influencing how companies manage mobile security in an era of constant connectivity. As 9to5Mac emphasizes, it’s a win for separating corporate and personal data, but Google has room to innovate further to match rivals’ offerings.
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What Is LLM SEO? Strategies for Generative Search Optimization – Search Engine People

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A Large Language Model (LLM) is an advanced type of artificial intelligence that processes and generates human-like language. Think ChatGPT, Gemini, Claude – these models scan massive datasets to understand language patterns and deliver text-based outputs. In digital marketing, they’re the driving force behind generative search, AI assistants, and increasingly, how users discover content.
LLM SEO (Large Language Model Search Engine Optimization) is the strategic practice of optimizing your digital content to be surfaced, summarized, or referenced by LLMs. It’s not just about ranking on Google’s SERPs anymore—it’s about being cited in AI-generated answers across platforms like ChatGPT, Perplexity, Gemini, and even Google’s own AI Overviews (formerly SGE).
Traditional SEO focuses on winning page-one rankings. LLM SEO ensures your content is chosen by generative engines as trustworthy, relevant, and high-quality enough to influence or directly appear in AI responses.
Generative engines favour brands that demonstrate credibility. That means:
Getting backlinks and brand mentions from reputable sources.
Publishing expert-level content supported by case studies, whitepapers, or first-party data.
Building out profiles on LinkedIn, YouTube, and industry directories with consistent NAP data.
LLMs love well-structured, semantically rich content. That includes:
Using clear headers and concise paragraphing.
Including definitions, FAQs, and “how-to” style content in plain language.
Embedding schema markup and structured data to aid context.
Generative engines don’t rely on keyword density—they infer intent. That means shifting your content strategy from chasing individual keywords to building deep, interconnected topic clusters.
While Google still dominates, platforms like ChatGPT and Perplexity are gaining traction. Ensure your content is crawlable and visible across multiple platforms—YouTube, Reddit, Quora, GitHub, and more. LLMs ingest from a broad spectrum of public content—not just your website.
LLMs prioritize recency in their responses. Refresh your cornerstone content regularly with new insights, updated stats, and original research to increase your inclusion odds in AI-generated summaries.
LLM SEO builds on traditional SEO fundamentals—but with a generative twist:
Focus: Traditional SEO is about search engine rankings. LLM SEO is about being referenced or summarized in AI-generated answers.
Metrics: SEO success is measured in rankings and traffic. LLM SEO success is measured in visibility within AI outputs, brand mentions, and indirect traffic/referral lift.
Distribution: SEO typically emphasizes Google SERPs. LLM SEO expands to AI engines, voice search, and emerging assistant-based interfaces.
The two disciplines are complementary. A solid SEO foundation amplifies your LLM SEO potential—but ignoring generative engines in 2025 means leaving serious brand visibility on the table.
Search Engine People has always been ahead of the search curve. We invest in data, talent, and proprietary technology that evolves with the digital landscape. Our SEO strategies are already optimized for generative search. We connect the dots between E-E-A-T, structured data, content hubs, and multi-platform visibility to help our clients dominate both traditional SERPs and AI engines alike.
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Google Pixel 4a's Battery Downgrade Update Will Reach You, Whether You Want It Or Not – Android Headlines

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Android Headlines / Android News / Google Forces Pixel 4a’s Controversial Battery Update to All Users
In January, Google released a battery update for the Pixel 4a. This firmware installs automatically, and since the company removed the previous versions, there was no way to revert back. However, some users had managed to avoid this update. Now, Google has started to forcibly install the update on devices that had previously avoided it, without users’ permission.
Google’s dark history with batteries has resurfaced once again. Serious issues, such as some Pixel 6a models melting while charging, have raised questions in the past. A significant development has now emerged regarding the battery update released for the Pixel 4a models at the beginning of the year, which sparked widespread criticism.
Google discovered that Pixel 4a models needed an update to improve battery performance. The company released a battery-focused update in January to address this issue. It also promised free battery replacements and various other solutions to users who installed the update at the time.
Most users grabbed the update, expecting it to improve battery performance. However, the results showed us exactly the opposite. Following the patch, many users reported that their Pixel 4a’s battery performance worsened even more. Some even reported that their devices lasted only a few hours on a single charge and took much longer to recharge.
Because the update was installed automatically and the brand removed older software builds, users had no way to revert. Fortunately, some users managed to avoid the patch at the time.
A development has occurred in the last 48 hours that is causing considerable distress to users. The workarounds that worked for a while have now lost their effectiveness, and Google has begun forcing devices to install the battery patch.
There have been numerous posts on forums like Reddit about how even methods like developer options to block automatic updates are not working and how patches are being forced onto users without their control.
While it’s annoying that Google installed the update without users’ consent, there’s a strong reason behind it. The company’s insistence on pushing out this version is allegedly due to concerns about battery overheating and catching fire.
It seems legit for the brand to make a similar decision for the Pixel 4a models, especially given the meltdown issues experienced with the Pixel 6a. However, users believe there’s been a serious lack of communication here. Finally, whether forced or not, users will be able to take advantage of Google’s free battery replacements and other solutions.
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Tunahan has been a professional writer for over five years and has a deep passion for all things tech, with a particular focus on Android. He’s also a dedicated gaming enthusiast.
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Netflix Is Using Startup Runway AI's Video Tools for Production – Bloomberg.com

Netflix Is Using Startup Runway AI’s Video Tools for Production  Bloomberg.com
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Pixel Watch gets July 2025 update in Japan, Singapore – 9to5Google

The next global Pixel Watch update should be in September, but some owners in Japan and Singapore are getting a July 2025 update after missing the last release.
This BW1A.250605.004.J2 update is for cellular Pixel Watch 2 and 3 owners in Japan and Singapore. There’s a “fix for emergency calling on cellular watches without cellular service provisioned: ECC now functions for SIMless Watch on BT tethered mode.”
It also includes the two additions in the June 2025 patch:
Earlier this month, Google started rolling out Gemini for Wear OS as part of a mini-Feature Drop, while Material 3 Expressive is making its way to first-party apps via the Play Store.
We don’t expect a Pixel Watch update next month. In theory, that September update could be Wear OS 6 for existing devices. The Pixel Watch 4 will presumably debut with the Material 3 Expressive update.
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Google just forced some Pixel 4a holdouts to finally install their battery-nerfing update – Android Authority

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51 minutes ago

This year, Google has found itself forced to confront and deal with an awkward problem that’s been casting a shadow across its otherwise largely well-received Pixel smartphone lineup. First we got the Pixel 4a Battery Performance Program in response to concerns of overheating batteries and device failure, and then we saw the exact same story play out for the Pixel 6a and its battery. Google’s approach with both of these incidents has been multi-faceted, involving offers for repair or replacement, compensatory payouts, and perhaps most controversial of all, software updates that place a hard limit on battery performance.
In order to prevent the old batteries in these phones from causing fires, Google delivered a software update that limits charging capacity and downgrades performance. While those restrictions aren’t set to kick in until you hit a specific charging cycle threshold, and can go away after upgrading your Pixel with a new battery, some users decided to take a slightly different approach, and did everything they could to avoid that charge-limiting update in the first place.
When it announced these updates, Google was clear that there’s nothing optional about any of this. With the Pixel 4a, it described the forthcoming update as “automatic,” adding “mandatory” for the Pixel 6a. We also saw it remove past firmware downloads from its repository, making it that much more difficult to roll back.
Apparently, there’s been a trick.
Lots of us might know how to enable Developer Options in Android, probably from an attempt to interact with the phone through the Android Debug Bridge (ADB), but have you ever looked around at all the other settings in there? One in particular lets you turn off the phone’s ability to automatically install a downloaded update the next time the phone reboots. And as it happened, switching that off managed to stave off the battery-limiting update for the past few months.
This week, however, disaster has struck. Over on Reddit, posts from users like crazed98camaro, salyosen, and gxstahr all tell a similar story (via 9to5Google): They disabled that option on their Pixel 4a phones, and had been running old software for months, but sometime in the past two days their devices finally updated.
We’re not sure exactly what technical method Google turned to in order to get around that developer option, but whatever it did, it looks like it works. That’s going to be sad news for some Pixel 4a holdouts, but at least hopefully now a few of them might avoid a catastrophic battery failure.

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AI-Driven Content Creation: A Lucrative Opportunity in the Digital Economy – AInvest

AI-Driven Content Creation: A Lucrative Opportunity in the Digital Economy  AInvest
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10 AI Marketing Strategy Trends Every Brand Must Know This Year – TechBullion

As we navigate through an increasingly digital landscape, the integration of artificial intelligence (AI) in marketing strategies has become a game-changer for brands looking to enhance their performance and customer engagement. AI technologies are no longer just buzzwords; they are essential components that can transform how brands interact with their customers, analyze data, and optimize their marketing efforts. By leveraging AI, businesses can gain deep insights into consumer behavior, tailor their messaging, and ultimately drive higher returns on investment. 
For brands aiming to stay ahead, understanding emerging trends in AI marketing strategy is crucial. If you’re looking to refine your approach, exploring comprehensive AI marketing strategy services can provide valuable insights. This post will highlight ten AI marketing strategy trends that every brand must be aware of this year to thrive in a competitive marketplace.
Hyper-personalization is one of the most significant trends in AI marketing. Unlike traditional personalization, which may use demographic data, hyper-personalization leverages AI to analyze consumer behavior, preferences, and purchase history in real-time. This allows brands to create highly tailored experiences that resonate with individual customers. For instance, AI algorithms can recommend products based on browsing history or suggest content that aligns with a user’s interests. 
This level of personalization not only enhances customer satisfaction but also drives conversion rates. Brands that implement hyper-personalized marketing strategies can expect to see improved customer loyalty and increased sales, making it a critical trend to adopt.
Predictive analytics uses historical data and AI algorithms to forecast future consumer behavior. By analyzing patterns and trends, brands can anticipate customer needs and preferences, enabling them to make proactive marketing decisions. For example, predictive analytics can help identify which products are likely to be popular in the upcoming season, allowing brands to optimize their inventory and marketing strategies accordingly. 
This data-driven approach minimizes guesswork and enhances the efficiency of marketing campaigns. Brands leveraging predictive analytics can tailor their messaging and offers, ultimately leading to higher engagement and improved ROI.
Chatbots and conversational AI are revolutionizing customer service and engagement. These AI-driven tools can interact with customers in real-time, answering questions, providing recommendations, and even completing transactions. By implementing chatbots on websites and social media platforms, brands can offer 24/7 support, enhancing the overall customer experience. Moreover, chatbots can gather valuable data on customer interactions, which can be analyzed to improve future marketing strategies. 
As consumers increasingly expect instant responses, brands that invest in conversational AI can significantly enhance their customer service capabilities and foster stronger relationships with their audiences.
Content marketing remains a cornerstone of successful digital marketing strategies, and AI is now playing a pivotal role in content creation. AI tools can analyze trending topics, user preferences, and engagement metrics to generate relevant and engaging content. For instance, AI can assist in drafting blog posts, social media updates, and even video scripts. By automating the content creation process, brands can save time and resources while ensuring that their messaging remains relevant and appealing to their audience. As AI technology continues to evolve, brands that embrace AI-driven content creation will be better equipped to produce high-quality, engaging content at scale.
With the rise of AI in marketing comes the need for enhanced data privacy and security measures. As brands collect more data to fuel their AI algorithms, they must also ensure that they are compliant with regulations such as GDPR and CCPA. Implementing robust data protection strategies not only builds consumer trust but also safeguards brands against potential legal issues. 
AI can assist in monitoring and managing data privacy by identifying vulnerabilities and ensuring that sensitive information is handled securely. Brands that prioritize data privacy will not only comply with regulations but also enhance their reputation in the eyes of consumers.
As voice-activated devices continue to gain popularity, optimizing for voice search is becoming increasingly important for brands. AI technologies enable better understanding of natural language processing, allowing brands to tailor their content for voice search queries. This involves focusing on long-tail keywords and conversational phrases that users are likely to speak rather than type. 
By optimizing for voice search, brands can enhance their visibility in search results and reach a broader audience. As the use of voice search continues to rise, brands that adapt their SEO strategies accordingly will gain a competitive advantage.
AI is transforming the landscape of digital advertising through automated ad campaigns. These systems use machine learning algorithms to analyze performance data and optimize ad placements in real-time. By automatically adjusting bids and targeting based on performance metrics, brands can maximize their advertising budgets and enhance campaign effectiveness. This automation not only saves time but also ensures that ads reach the right audience at the right moment. Brands that leverage automated ad campaigns can expect improved ROI and greater efficiency in their advertising efforts.
Augmented reality (AR) is emerging as a powerful tool for enhancing customer engagement. AI technologies are enabling brands to create immersive AR experiences that allow customers to interact with products in innovative ways. For instance, brands in the fashion industry can offer virtual try-on experiences, while home decor brands can allow customers to visualize furniture in their own spaces. 
By integrating AR into their marketing strategies, brands can enhance customer experiences and create memorable interactions that drive conversions. As AR technology advances, brands that adopt these experiences will set themselves apart in a crowded marketplace.
AI-driven social media listening tools are essential for understanding consumer sentiment and trends. By analyzing social media conversations, brands can gain valuable insights into customer opinions and preferences. Sentiment analysis enables brands to gauge how their audience feels about their products, services, and overall brand perception. 
This information can inform marketing strategies, product development, and customer service initiatives. Brands that actively engage in social media listening can respond to customer feedback in real-time, strengthening their relationships with their audience and enhancing brand loyalty.
The landscape of AI marketing is constantly evolving, and brands must embrace a culture of continuous learning and adaptation. By leveraging AI tools, brands can analyze the effectiveness of their marketing strategies and make data-driven adjustments accordingly. This involves regularly reviewing performance metrics, consumer feedback, and industry trends to stay ahead of the competition. Brands that foster a mindset of adaptability will be better equipped to respond to changing consumer needs and market conditions, ensuring their marketing efforts remain relevant and effective.
An AI marketing strategy leverages artificial intelligence technologies to analyze data, optimize marketing efforts, and enhance customer engagement.
AI analyzes customer data to identify distinct segments based on behaviors and preferences, allowing for more tailored marketing efforts.
Chatbots provide real-time customer support, gather data on interactions, and enhance overall customer engagement.
As voice-activated devices become more common, optimizing for voice search helps brands enhance visibility and reach a broader audience.
AI analyzes performance data to optimize ad placements in real-time, maximizing advertising budgets and improving campaign effectiveness.
Incorporating AI into marketing strategies is no longer optional; it is essential for brands aiming to thrive in today’s competitive landscape. From hyper-personalization and predictive analytics to automated ad campaigns and augmented reality experiences, the trends outlined in this post highlight the transformative power of AI in marketing. By staying informed and adapting to these trends, brands can enhance their customer engagement, streamline their operations, and ultimately boost their ROI. 
As AI technologies continue to evolve, embracing these trends will be critical for brands seeking to maintain a competitive edge and drive sustainable growth in the coming year.
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