Tag Archive for: #SEOROI

From SEO to AI: How Alex Groberman Labs Is Impacting Digital Marketing – LAmag

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From SEO to AI: How Alex Groberman Labs Is Impacting Digital Marketing  LAmag
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Google I/O 2025: Everything announced at this year’s developer conference – TechCrunch

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Google I/O 2025, Google’s biggest developer conference of the year, takes place Tuesday and Wednesday at the Shoreline Amphitheatre in Mountain View. We’re on the ground bringing you the latest updates from the event. 
I/O showcases product announcements from across Google’s portfolio. We’ve got plenty of news relating to Android, Chrome, Google Search, YouTube, and — of course — Google’s AI-powered chatbot, Gemini.
Google hosted a separate event dedicated to Android updates: The Android Show. The company announced new ways to find lost Android phones and other items, additional device-level features for its Advanced Protection program, security tools to protect against scams and theft, and a new design language called Material 3 Expressive.
Here are all the things announced at Google I/O 2025.
Gemini Ultra (only in the U.S. for now) delivers the “highest level of access” to Google’s AI-powered apps and services, according to Google. It’s priced at $249.99 per month and includes Google’s Veo 3 video generator, the company’s new Flow video editing app, and a powerful AI capability called Gemini 2.5 Pro Deep Think mode, which hasn’t launched yet.
AI Ultra comes with higher limits in Google’s NotebookLM platform and Whisk, the company’s image remixing app. AI Ultra subscribers also get access to Google’s Gemini chatbot in Chrome; some “agentic” tools powered by the company’s Project Mariner tech; YouTube Premium; and 30TB of storage across Google Drive, Google Photos, and Gmail.
Deep Think is an “enhanced” reasoning mode for Google’s flagship Gemini 2.5 Pro model. It allows the model to consider multiple answers to questions before responding, boosting its performance on certain benchmarks.
Google didn’t go into detail about how Deep Think works, but it could be similar to OpenAI’s o1-pro and upcoming o3-pro models, which likely use an engine to search for and synthesize the best solution to a given problem.
Deep Think is available to “trusted testers” via the Gemini API. Google said that it’s taking additional time to conduct safety evaluations before rolling out Deep Think widely.
Google claims that Veo 3 can generate sound effects, background noises, and even dialogue to accompany the videos it creates. Veo 3 also improves upon its predecessor, Veo 2, in terms of the quality of footage it can generate, Google says.
Veo 3 is available beginning Tuesday in Google’s Gemini chatbot app for subscribers to Google’s $249.99-per-month AI Ultra plan, where it can be prompted with text or an image.
According to Google, Imagen 4 is fast — faster than Imagen 3. And it’ll soon get faster. In the near future, Google plans to release a variant of Imagen 4 that’s up to 10x quicker than Imagen 3.
Imagen 4 is capable of rendering “fine details” like fabrics, water droplets, and animal fur, according to Google. It can handle both photorealistic and abstract styles, creating images in a range of aspect ratios and up to 2K resolution.
Both Veo 3 and Imagen 4 will be used to power Flow, the company’s AI-powered video tool geared toward filmmaking. 
Google announced that Gemini apps have more than 400 monthly active users. 
Gemini Live’s camera and screen-sharing capabilities will roll out this week to all users on iOS and Android. The feature, powered by Project Astra, lets people have near-real-time verbal conversations with Gemini, while also streaming video from their smartphone’s camera or screen to the AI model.
Google says Gemini Live will also start to integrate more deeply with its other apps in the coming weeks: It will soon be able to offer directions from Google Maps, create events in Google Calendar, and make to-do lists with Google Tasks.
Google says it’s updating Deep Research, Gemini’s AI agent that generates thorough research reports, by allowing users to upload their own private PDFs and images.
Stitch is an AI-powered tool to help people design web and mobile app front ends by generating the necessary UI elements and code. Stitch can be prompted to create app UIs with a few words or even an image, providing HTML and CSS markup for the designs it generates.
Stitch is a bit more limited in what it can do compared to some other vibe coding products, but there’s a fair amount of customization options.
Google has also expanded access to Jules, its AI agent aimed at helping developers fix bugs in code. The tool helps developers understand complex code, create pull requests on GitHub, and handle certain backlog items and programming tasks.
Project Mariner is Google’s experimental AI agent that browses and uses websites. Google says it has significantly updated how Project Mariner works, allowing the agent to take on nearly a dozen tasks at a time, and is now rolling it out to users.
For example, Project Mariner users can purchase tickets to a baseball game or buy groceries online without ever visiting a third-party website. People can just chat with Google’s AI agent, and it visits websites and takes actions for them.
Google’s low latency, multimodal AI experience, Project Astra, will power an array of new experiences in Search, the Gemini AI app, and products from third-party developers. 
Project Astra was born out of Google DeepMind as a way to showcase nearly real-time, multimodal AI capabilities. The company says it’s now building those Project Astra glasses with partners including Samsung and Warby Parker, but the company doesn’t have a set launch date yet. 
Google is rolling out AI Mode, the experimental Google Search feature that lets people ask complex, multi-part questions via an AI interface, to users in the U.S. this week.
AI Mode will support the use of complex data in sports and finance queries, and it will offer “try it on” options for apparel. Search Live, which is rolling out later this summer, will let you ask questions based on what your phone’s camera is seeing in real time. 
Gmail is the first app to be supported with personalized context.
Beam, previously called Starline, uses a combination of software and hardware, including a six-camera array and custom light field display, to let a user converse with someone as if they were in the same meeting room. An AI model converts video from the cameras, which are positioned at different angles and pointed toward the user, into a 3D rendering.
Google’s Beam boasts “near-perfect” millimeter-level head tracking and 60fps video streaming. When used with Google Meet, Beam provides an AI-powered real-time speech translation feature that preserves the original speaker’s voice, tone, and expressions.
And speaking of Google Meet, Google announced that Meet is getting real-time speech translation.
Google is launching Gemini in Chrome, which will give people access to a new AI browsing assistant that will help them quickly understand the context of a page and get tasks done. 
Gemma 3n is a model designed to run “smoothly” on phones, laptops, and tablets. It’s available in preview starting Tuesday; it can handle audio, text, images, and videos, according to Google.
The company also announced a ton of AI Workspace features coming to Gmail, Google Docs, and Google Vids. Most notably, Gmail is getting personalized smart replies and a new inbox-cleaning feature, while Vids is getting new ways to create and edit content.
Video Overviews are coming to NotebookLM, and the company rolled out SynthID Detector, a verification portal that uses Google’s SynthID watermarking technology to help identify AI-generated content. Lyria RealTime, the AI model that powers its experimental music production app, is now available via an API.
Wear OS 6 brings a unified font to tiles for a cleaner app look, and Pixel Watches are getting dynamic theming that syncs app colors with watch faces. 
The core promise of the new design reference platform is to let developers build better customization in apps along with seamless transitions. The company is releasing a design guideline for developers along with Figma design files.
Google is beefing up the Play Store for Android developers with fresh tools to handle subscriptions, topic pages so users can dive into specific interests, audio samples to give folks a sneak peek into app content, and a new checkout experience to make selling add-ons smoother.
“Topic browse” pages for movies and shows (U.S. only for now) will connect users to apps tied to tons of shows and movies. Plus, developers are getting dedicated pages for testing and releases, and tools to keep an eye on and improve their app rollouts. Developers using Google can also now halt live app releases if a critical problem pops up.
Subscription management tools are also getting an upgrade with multi-product checkout. Devs will soon be able to offer subscription add-ons alongside main subscriptions, all under one payment.
Android Studio is integrating new AI features, including “Journeys,” an “agentic AI” capability that coincides with the release of the Gemini 2.5 Pro model. And an “Agent Mode” will be able to handle more-intricate development processes.
Android Studio will receive new AI capabilities, including an enhanced “crash insights” feature in the App Quality Insights panel. This improvement, powered by Gemini, will analyze an app’s source code to identify potential causes of crashes and suggest fixes.

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In Graphic Detail: How AI is changing search and advertising – Digiday

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AI agents are no longer just experimental tools — they’re rapidly becoming indispensable intermediaries in how people search, shop, and interact online. As platforms like Google, OpenAI, and Perplexity race to roll out agentic AI, the advertising industry is bracing for a shift that could redefine consumer journeys and reshape digital marketing strategies.
Despite all the hype, many marketer’s generative AI investments are still modest or even nonexistent. One Gartner survey of more than 400 marketing leaders found that 27% of CMOs reported their teams had little or no adoption of generative AI. However, it’s still early — both in terms of impact and in terms of preparations. And with the search landscape ever-evolving, Gartner analyst Noam Dorros marketers could risk creating a “massive headache” for themselves by trying to chase what the future might look like.
“You still have to focus on what’s three feet in front of you, which is your consumer, and understand their behaviors and their needs,” Dorros said. “… If you are foundationally sound when this changes again, you’ll give yourself a better launch pad to pivot and adjust accordingly.”
AI is reshaping how people access information online, gradually shifting behavior away from traditional search engines. According to StatCounter data, Google’s global market share in April fell to 89.65% — the lowest since 2013 when it dropped to 89.41%. Meanwhile, U.S. market share the same month was 86.71%, with Bing in second place with 7.5%, Yahoo in third with 2.86% and DuckDuckGo in fourth with 2.3%.
While traditional search sees some change, companies are also growing their use of AI search platforms. Google’s own AI Overviews feature now brings 1.5 billion monthly users, according to the company’s most recent earnings. Leading AI search startups are also seeing growth, albeit smaller. Last year, Perplexity’s total monthly searches grew from 2.5 million in January to 20 million by December. A March study from Semrush estimated ChatGPT was processing around 37.5 million search-like queries a day. 
As the way people search shifts, AI search platforms and agents will likely limit ad opportunities during the consumer journey’s consideration stage. Fewer interactions for pass-through ad-supported channels could pose a risk to search engines and marketplaces. 
A recent eMarketer report estimated AI agents could cause a 38% drop in ad exposure during discovery, 47% during consideration, and 30% at conversion. That’s leading marketers to shift focus toward new ways to optimize AI content, product feeds, and direct integrations with AI agents instead of relying solely on paid ads. The most likely scenario, according to eMarketer, is that agents will mediate how consumers will research products, which could improve product awareness, hurt consideration and leave conversions neutral. On the other hand, the “most transformative” scenario is that everything will change, leaving awareness neutral, but greatly hurting product consideration and conversion.
Companies like Microsoft are also trying to set the stage with new ad formats within chat-based platforms. In March, it rolled out a suite of new AI-powered ad innovations aimed at transforming digital ads through its Copilot platform while boosting ad relevance and performance. Early testers are brands in categories like retail, gaming, travel, financial services, and automotive.
In a separate report about machine-to-machine (M2M) marketing, eMarketer found that 66% of U.S. consumers surveyed said they wouldn’t allow AI to make purchases on their behalf — but a majority say they’d let AI agents help them secure high-demand products, buy times at a target price point and monitor products for maintenance. 
AI agents are poised to transform the digital landscape, shifting from narrow chatbot systems to powerful, self-directed tools capable of complex tasks — especially as they gain features like autonomous navigation browsing, shopping and other needs.
In the past few months, AI companies have piloted, previewed and premiered new agentic AI tools for how people browse and shop online. Among them are Google’s Mariner — which was revealed as a prototype in December — along with OpenAI’s Operator, Amazon’s Nova Act, and Perplexity’s Comet. (The latter is expected to launch this month.)
According to a recent report by Enders Analysis, deep research agents from OpenAI have already doubled their performance on the difficult “Humanity’s Last Exam” benchmark, raising success rates from 13% to 26.6% through web browsing and coding tools​.
AI agents are poised to become the new power brokers in marketing, reshaping the consumer journey and challenging traditional advertising models. According to a new Bain & Company report, around 80% of U.S. consumers already use AI-generated content for at least 40% of their searches. That could signal a sharp pivot in how people interact with brands online. 
Trust in AI seems to vary based on the use case, according to Bain. The survey showed 56% of respondents trust AI for learning and 51% for shopping. However, trust drops sharply in sensitive areas—just 34% trust AI for health advice, 32% for financial guidance, and 29% for news, with even lower confidence in legal, major purchase, and mental health decisions.
While advertisers aren’t handing full budget control to AI, companies like Visa and Mastercard are moving ahead with letting AI agents make purchases for customers—Visa with its new “Intelligent Commerce” system and Mastercard with “Agent Pay.” ChatGPT and Shopify also recently announced a new in-chat shopping capabilities.
A new report from Wharton offers advice for marketers on how to use AI chatbots to help personalize recommendations, build trust, and choose between human- or machine-like bots. The report, published last week, is derived from dozens of research papers in labs around the world and distilled into actionable advice for marketers that serves as a “blueprint” for businesses. 
Insights show people were up to 2.6 times more likely to accept a higher- than-expected price when delivered by an AI vs. a human. People are also 11.2% less likely to interact with a human-like chatbot when purchasing embarrassing products, compared to a machine-like chatbot.
Marketing professor Stefano Puntoni and his co-authors also found that human-like bots can boost engagement, machine-like bots often handle complaints better, and ethical considerations should stay front and center. Subtle flattery can also be persuasive, especially from less humanlike bots. The research further finds that people prefer good news from humans but react similarly to rejections from either a person or chatbot—with neutral bots sometimes softening impersonal bad news.
“Flattery helps in chatbot context like it works in the real world,” Puntoni said. “Flattery is quite effective, but what we found is the problem with flattery is it works as long as people are not overly aware of the fact that it is flattering. The moment that they are in a sales situation and that flatter is obvious, then it becomes suspicious.”
Retail media networks like Walmart, DoorDash, and Instacart recently unveiled new tools and partnerships, signaling a push beyond conversions toward full-funnel brand budgets.
Media agencies were expected to raise the topic of the ban in Cannes last week, but any questions or concerns were considered non-issues.
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Chromebook: Can It Handle SEO Software and Tasks in 2025? – About Chromebooks

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Chromebook is a laptop that runs on a unique operating system—ChromeOS. From the day it was initially unveiled, in 2011, and to this day, this gadget is primarily purposed for web-based tasks. Compact, lightweight, affordable, and packed with productivity features, this type of laptop is considered a great choice for digital nomads.
Yet, the big question is whether it can handle all kinds of digital nomads’ professions. In particular, is it powerful enough to suit professional SEO needs? 
On the one hand, the rise of cloud-based SEO platforms that we’ve seen in the past years has already changed the way professionals in this sector work. Instead of downloading different categories of SEO software for a desktop, you can now have all the tools you need for work in a single place, accessible from a browser.
And the growing number of SEO software reviews, such as those posted on Top10seosoftware.com, highlights the popularity and rapid growth of browser-based solutions.
This could mean that cloud-focused Chromebooks can make the cut for today’s SEO workflow. Let’s see what it can handle for you.
As you already know, ChromeOS is designed primarily for web-based tasks. In terms of SEO, these laptops can excel in the tasks that you typically handle via browser, such as:
Apart from giving you an opportunity to handle all these tasks in the browser manually, Chromebooks also pair well with a huge variety of cloud-based SEO platforms, browser extensions, and standalone apps available in the Chrome Web Store.
Broad compatibility and seamless integration with a myriad of professional SEO tools can help you automate your daily tasks and support your daily workflow.
The introduction of web-based tools has made a revolution in the habitual SEO workflow. Now, you no longer need a huge collection of desktop SEO software to perform your tasks.
Instead, you can choose an all-rounded platform enriched with all the features and tools you need–all in one place and accessible at any time and from any device via a web browser.
That’s where Chromebooks thrive. As cloud-focused devices, these laptops can give you access to pretty much all cloud-based platforms available out there. The selection is fairly broad. All you need is to research the options and check out a reliable SEO tools comparison to choose a platform that will match your needs.
These platforms can aid you with a variety of tasks, including site auditing, strategy planning, keyword research, rank tracking, on-page optimization, and many others.
Apart from web-based solutions, Chromebooks also give you access to a variety of SEO Chrome extensions. Although extensions typically help you with the same tasks, they hold additional benefits that are not present in web-based platforms. In order to perform a task via a web-based solution, you need to go to your browser, open the needed platform, sign in, and perform the actions you need. With an extension, however, you expand the features of your browser. 
For example, if you install the Detailed SEO Extension, you will be able to get a comprehensive SEO analysis of any page in a single click. This eliminates the necessity to perform additional steps, saves time, and boosts productivity.
And there are plenty of popular SEO extensions for the Chrome browser that can do the following tasks:
And there are plenty of other tasks that you can get done with the help of SEO extensions for Chromebook to increase your productivity.
Thanks to access to various cloud-based SEO platforms and extensions, Chromebooks can make a good everyday gadget for search engine optimization specialists.
Nevertheless, we can’t deny the fact that Chromebooks are much more restricted in power compared to full-scale laptops. That is, there might be a few limitations that get in your everyday work.
The main limitations you should be aware of include:
Chromebooks are heavily reliant on the Internet connection because they mostly run browser-based platforms, browser extensions, and apps, which often operate solely online. As an SEO freelancer, you might need some offline functionality from time to time, when you have to work outside of the home.
Of course, you can’t add offline functionality to a device that’s bound to the web. However, one possible solution is to invest in a good cellular connection and use it when working outside of the home.
Indeed, a vast variety of SEO tools and platforms are now either cloud-based or available in the form of apps and extensions. However, when it comes to advanced tools, many of them have limited compatibility that only supports a specific OS or device type (aka desktop).
To solve the problem, you need to assess the available browser-based platforms and extensions to pick ones that offer you the needed functionality. If there is no way to replace incompatible advanced software, you can also use remote desktop services or enable Linux support on your device.
In order to make them lightweight, manufacturers of these lightweight laptops get rid of extra hardware that adds weight to the device. This can create a few performance constraints that SEOs should keep in mind:
It’s no secret that SEOs often have to deal with technical elements of the website to improve its performance. Typically, this involves inspecting and tweaking code, which requires access to developer tools.
Although these devices may lack full-fledged development environments, you can use Linux or cloud-based development environments as a workaround for this problem.
Chromebooks seem to be the perfect solution for digital nomads. They are lightweight and easy to take with you anywhere. They also often have a much better battery capacity, which allows for longer and more productive work sessions outside of the home. And they are typically cheaper.
All these benefits make this kind of laptop sound like a great choice for different freelance specialists, including SEOs. Yet, when it comes to handling serious SEO tasks, many people have many concerns about the power and suitability of such devices for their workflows.
As you now know, Chromebooks give you access to a variety of cloud-based platforms and SEO Chrome extensions that can let you handle your daily tasks with ease. There are a few limitations to consider. Namely, some advanced SEO tools might not be compatible with such devices. However, each limitation seems to have a rather easy workaround.
The verdict? Chromebooks can make the cut for digital nomads who specialize in SEO.
As a senior analyst, I benchmark and review gadgets and PC components, including desktop processors, GPUs, monitors, and storage solutions on Aboutchromebooks.com. Outside of work, I enjoy skating and putting my culinary training to use by cooking for friends.
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Gemini 2.5: Our most intelligent models are getting even better – Google Blog

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May 20, 2025
Gemini 2.5 Pro continues to be loved by developers as the best model for coding, and 2.5 Flash is getting even better with a new update. We’re also bringing new capabilities to our models, including Deep Think, an experimental enhanced reasoning mode for 2.5 Pro.
In March, we announced Gemini 2.5 Pro, our most intelligent model yet, and two weeks ago, we brought you our I/O update early for developers to build incredible web apps. Today, we’re sharing even more updates to our Gemini 2.5 model series:
This remarkable progress is the result of the relentless effort of teams across Google to improve our technologies, and develop and release them safely and responsibly. Let’s dive in.
We recently updated 2.5 Pro to help developers build richer, interactive web apps. It’s great to see the positive reaction from users and developers and we’re continuing to make improvements based on user feedback.
In addition to its strong performance on academic benchmarks, the new 2.5 Pro is now leading the popular coding leaderboard, WebDev Arena, with an ELO score of 1415. It’s also leading across all leaderboards of the LMArena, which evaluates human preference in various dimensions. And, with its 1 million-token context window, 2.5 Pro has state-of-the-art long context and video understanding performance.
Since incorporating LearnLM, our family of models built with educational experts, 2.5 Pro is also now the leading model for learning. In head-to-head comparisons evaluating its pedagogy and effectiveness, educators and experts preferred Gemini 2.5 Pro over other models across a diverse range of scenarios. And, it outperformed top models on every one of the five principles of learning science used to build AI systems for learning.
Read more in our updated Gemini 2.5 Pro model card and on the Gemini technology page.
Through exploring the frontiers of Gemini’s thinking capabilities, we’re starting to test an enhanced reasoning mode called Deep Think that uses new research techniques enabling the model to consider multiple hypotheses before responding.
2.5 Pro Deep Think gets an impressive score on 2025 USAMO, currently one of the hardest math benchmarks. It also leads on LiveCodeBench, a difficult benchmark for competition-level coding, and scores 84.0% on MMMU, which tests multimodal reasoning.
Because we’re defining the frontier with 2.5 Pro DeepThink, we’re taking extra time to conduct more frontier safety evaluations and get further input from safety experts. As part of that, we’re going to make it available to trusted testers via the Gemini API to get their feedback before making it widely available.
2.5 Flash is our most efficient workhorse model designed for speed and low-cost — and it’s now better across many dimensions. It’s improved across key benchmarks for reasoning, multimodality, code and long context while getting even more efficient, using 20-30% less tokens in our evaluations.
The new 2.5 Flash is now available for preview in Google AI Studio for developers, in Vertex AI for enterprise and in the Gemini app for everyone. And in early June, it’ll be generally available for production.
Read more in our updated Gemini 2.5 Flash model card and on the Gemini technology page.
Today, the Live API is introducing a preview version of audio-visual input and native audio out dialogue, so you can directly build conversational experiences, with a more natural and expressive Gemini.
It also allows the user to steer its tone, accent and style of speaking. For example, you can tell the model to use a dramatic voice when telling a story. And it supports tool use, to be able to search on your behalf.
You can experiment with a set of early features, including:
We’re also releasing new previews for text-to-speech in 2.5 Pro and 2.5 Flash. These have first-of-its-kind support for multiple speakers, enabling text-to-speech with two voices via native audio out.
Like Native Audio dialogue, text-to-speech is expressive, and can capture really subtle nuances, such as whispers. It works in over 24 languages and seamlessly switches between them.
This text-to-speech capability will be available later today in the Gemini API.
We’re bringing Project Mariner‘s computer use capabilities into the Gemini API and Vertex AI. Companies like Automation Anywhere, UiPath, Browserbase, Autotab, The Interaction Company and Cartwheel are exploring its potential, and we’re excited to roll it out more broadly for developers to experiment with this summer.
We’ve also significantly increased protections against security threats, like indirect prompt injections. This is when malicious instructions are embedded into the data an AI model retrieves. Our new security approach helped significantly increase Gemini’s protection rate against indirect prompt injection attacks during tool use, making Gemini 2.5 our most secure model family to date.
Read more about our work across safety, responsibility and security, and how we’re advancing Gemini’s security safeguards on the Google DeepMind blog.
2.5 Pro and Flash will now include thought summaries in the Gemini API and in Vertex AI. Thought summaries take the model’s raw thoughts and organize them into a clear format with headers, key details and information about model actions, like when they use tools.
We hope that with a more structured, streamlined format on the model’s thinking process, developers and users will find the interactions with Gemini models easier to understand and debug.
We launched 2.5 Flash with thinking budgets to give developers more control over cost by balancing latency and quality. And we’re extending this capability to 2.5 Pro. This allows you to control the number of tokens a model uses to think before it responds, or even turn its thinking capabilities off.
Gemini 2.5 Pro with budgets will be generally available for stable production use in the coming weeks, along with our generally available model.
We added native SDK support for Model Context Protocol (MCP) definitions in the Gemini API for easier integration with open-source tools. We’re also exploring ways to deploy MCP servers and other hosted tools, making it easier for you to build agentic applications.
We’re always innovating on new approaches to improve our models and our developer experience, including making them more efficient and performant, and continuing to respond to developer feedback, so please keep it coming! We also continue to double down on the breadth and depth of our fundamental research — pushing the frontiers of Gemini’s capabilities. More to come soon.
Learn more about Gemini and its capabilities on our website.
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See the new ways Google Workspace with Gemini can help you at work and at home. – Google Blog

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New Gemini updates built directly into tools you use every day — like Gmail, Meet, Vids and Docs — are coming to Google Workspace.
Gmail is getting personalized smart replies that incorporate your context and tone. Draft replies will sound authentically like you and match your typical tone, as the responses are created from past emails and Drive files. Try it yourself later this year.
Google Meet now offers near real-time, low-latency speech translation. It makes sure your voice, tone, and expressions still shine through — even when translated — allowing people speaking different languages to have natural conversations. Available today to Google AI Pro and Ultra subscribers in beta, initially in English and Spanish, with more languages coming in the next few weeks.
Plus, Google Vids is now available to Google AI Pro and Ultra subscribers.
Check out the Workspace blog for all the details on these features and more.
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Google Merchant Center Updates Some User Interface Elements – Search Engine Roundtable

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Google Warehouse
Google has made some more minor changes to the Google Merchant Center user interface. Specifically, Google moved where the merchants access settings section is and also updated the sidebar with collapsible menu items.
These changes were spotted by Emmanuel Flossie who posted about this on his blog and on LinkedIn. He said:

While a minor update on the surface, this change is a welcome one for usability. By removing the gear icon — which many users overlooked or misunderstood — and replacing it with a plainly labeled “Settings” section, Google is making the platform more intuitive, especially for new or less technical users.

Here is the new settings section that can be found at the top right section:
Google Merchant Center Updates Interface
Additionally, Google has added a collapsible drop-down menu to help declutter the sidebar. You can see that in the screenshot above as well.
So when you login to your Merchant Center account, you may notice these changes.
Forum discussion at LinkedIn.
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This work by Search Engine Roundtable is licensed under a Creative Commons Attribution 3.0 United States License. Creative Commons License and YouTube videos under YouTube’s ToS.

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