Ten spots left to join us in NYC on July 15
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.
Here’s how Pinterest is talking to advertisers about Performance+.
Get access to tools and analysis to stay ahead of the trends transforming media and marketing
Visit your account page to make changes and renew.
Get Digiday's top stories every morning in your email inbox.
Follow @Digiday for the latest news, insider access to events and more.
source
Domain-Level Link Metrics May Not Be Good Predictors of AI Search Mentions
/in AI Search, Google/by Team ZYTGoing into this study, I suspected that domain-level link metrics would not be a good predictor for mentions. I was expecting Google AI Overviews to show more of a correlation since they may use some of the traditional search signals, whereas the other systems may not. For traditional search, usually the page-level metrics are more predictive of rankings than domain-level ones.
I looked at the top 50 websites mentioned in Ahrefs Brand Radar for Google AI Overviews, ChatGPT, and Perplexity. This is across ~76.7M AI Overviews, 957k ChatGPT prompts, and 953.5k Perplexity prompts for the month of June 2025.
I compared the website mentions to their Ahrefs Rank (AR) in Ahrefs. Ahrefs Rank (AR) ranks all the websites in our database in order, by the size and quality of their followed referring domains.
Sidenote.
Brand Radar isn’t just another LLM visibility monitor, we track a large amount of queries across all of these systems and you can query for any product, service, or brand and compare vs competitors. It’s more like Site Explorer than it is Rank Tracker. Plus we have the web visibility index so that you can see how you’re talked about online and the search demand index to see how popular you are in searches.
Here’s what Brand Radar looks like.
Let’s dig in.
Perplexity shows a moderate correlation between the mentions of its most-cited domains and their Ahrefs Rank, Google AI Overviews a very weak correlation, and ChatGPT no correlation. I was expecting Google to have a stronger relationship than Perplexity, so the results surprised me.
This correlation would likely change with a larger dataset outside of just the top 50. The top 50 are all extremely well-linked and cited websites.
I’ll give the usual correlation does not equal causation disclaimer.
Here are the Spearman rank correlations for mention share vs. Ahrefs Rank across the top 50 domains in each system:
Google AI Overviews over-index on UGC sites like YouTube, Reddit, and Quora, as well as encyclopedic content like Wikipedia. We’ve seen this in a few other studies already.
These sites get extra weight in mentions than their link profile predicts.
Google AI Overviews underweights on social media sites like LinkedIn, Instagram, and Facebook. Another pattern we’ve seen in other studies.
We also see a similar story with ChatGPT, where they are overweight on things like Wikipedia and news sites like Reuters, exactly like we saw before.
Perplexity also shows the same biases we’ve seen. YouTube and Wikipedia are overweight, social media sites are underweight.
Final thoughts
I’m not sure this is enough of a sample size to get a good measure. We actually saw higher correlations in Google AI Overviews compared to DR when we studied 75k sites than we saw in correlations to normal Google rankings across 1 million keywords, 0.326 vs 0.131.
We’ll run a bigger study beyond the top 50, as well as look at some more page level metrics for more insights.
If you have questions, ask me on LinkedIn or X.
source
In Graphic Detail: How AI is changing search and advertising – Digiday
/in website SEO, Website Traffic/by Team ZYTTen spots left to join us in NYC on July 15
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.
Here’s how Pinterest is talking to advertisers about Performance+.
Get access to tools and analysis to stay ahead of the trends transforming media and marketing
Visit your account page to make changes and renew.
Get Digiday's top stories every morning in your email inbox.
Follow @Digiday for the latest news, insider access to events and more.
source
Chromebook: Can It Handle SEO Software and Tasks in 2025? – About Chromebooks
/in website SEO, Website Traffic/by Team ZYTChromebook 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.
Comments are closed.
Type above and press Enter to search. Press Esc to cancel.
source
Gemini 2.5: Our most intelligent models are getting even better – Google Blog
/in website SEO, Website Traffic/by Team ZYTMay 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.
Your information will be used in accordance with Google’s privacy policy.
Done. Just one step more.
Check your inbox to confirm your subscription.
You are already subscribed to our newsletter.
You can also subscribe with a .
Let’s stay in touch. Get the latest news from Google in your inbox.
Follow Us
source
See the new ways Google Workspace with Gemini can help you at work and at home. – Google Blog
/in website SEO, Website Traffic/by Team ZYTNew 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.
Let’s stay in touch. Get the latest news from Google in your inbox.
Follow Us
source
Google Merchant Center Updates Some User Interface Elements – Search Engine Roundtable
/in website SEO, Website Traffic/by Team ZYTGoogle 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:
Here is the new settings section that can be found at the top right section:
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.
The content at the Search Engine Roundtable are the sole opinion of the authors and in no way reflect views of RustyBrick ®, Inc
Copyright © 1994-2025 RustyBrick ®, Inc. Web Development All Rights Reserved.
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.
source
Google launched a dizzying array of new AI products, and it's getting harder to make sense of them all – Business Insider
/in website SEO, Website Traffic/by Team ZYTAttending Google’s I/O developer conference is like being doused with a firehose of new AI announcements.
At I/O’s keynote event on Tuesday, Business Insider counted at least two dozen new models, features, and updates.
“We are shipping faster than ever,” Google CEO Sundar Pichai boasted onstage.
Indeed. But it’s starting to get a little confusing. For one, some of the launches seem to overlap with each other. Launching so many AI products in such a short timeframe is impressive, and it can also feel scatterbrained.
AI Mode allows you to chat with Google as you browse the web, creating a more conversational search experience. Don’t confuse it with Gemini in Chrome, which allows you to ask Gemini questions while you browse.
With Gemini Live, you can point your phone at whatever you want and talk to the AI assistant about it. Don’t mistake it for Search Live, which allows you to chat with Search about whatever your phone sees.
Project Mariner is an experimental AI agent that can take actions like booking tickets. Gemini’s upcoming Agent Mode also has agentic capabilities, like helping users find just the right Zillow listing.
Not all the new tools seemed that similar. Google launched an impressive new AI filmmaking tool called Flow, powered by its new model Veo 3.
Google also touted updates to an entirely separate AI model family from Gemini called Gemma which, incidentally, can help decipher how dolphins talk to each other — that’s DolphinGemma.
Multiple Googlers that Business Insider spoke with at I/O used a single word to describe Google’s current rate of shipping: “intense.”
Google’s approach complicates its own vision of building a single, universal AI assistant. (That mission has its own name, too: Project Astra.)
OpenAI is also moving fast towards this goal and appears intent on launching a dedicated device to run it, given its recent purchase of Apple designer Jony Ive’s hardware startup.
Google risks building so many overlapping AI products that it will be tough to compete with a single, more stand-alone solution, such as an AI-native phone.
No one’s counting Google out, though. The tech giant has become an undeniable AI leader, inventing much of the core research behind the current boom and successfully launching transformational technology like Waymo. Time will tell whether Google’s more sprawling approach wins out.
Google did not immediately respond to a request for comment from Business Insider.
Jump to
source
11 Austin SEO Agencies With Expertise in Organic Growth – Built In Austin
/in website SEO, Website Traffic/by Team ZYTEnterprise organizations and small businesses alike require the same things to be successful — a strong online presence backed by strategic digital marketing executions. These building blocks facilitate long-term growth and consistently attract new audiences to their brand. One of the central tenants of any successful digital marketing strategy is search engine optimization or SEO. SEO is the practice of adding content and data to provide websites with more authority in search engine results. For portfolio websites, e-commerce shops and all kinds of sites in between, SEO is among the most efficient and least disruptive ways of gaining new customers.
However, the difficulty with SEO often comes down to the time required for a website to climb search engine rankings as well as the “guess-and-check” methodology that many website owners adopt. Thankfully, these Austin SEO agencies are available to provide assistance and strategies that lead to exceptional organic growth.
Founded: 2009
MVF Global is a lead generation business that provides a marketing platform to help brands connect with new customers worldwide. Headquartered in Downtown Austin, the company encourages its employees to work in the office on a hybrid schedule, typically three days a week.
Founded: 2008
Optimal is a team of digital marketing experts utilizing leading techniques to develop profitable campaigns for clients, allowing them to grow their business and become a leader in their industry. The agency’s comprehensive approach combines paid search, paid social, display media, digital PR and SEO services, including a mixture of technical, content and link building techniques that create multiplicative organic growth.
Founded: 2014
CSTMR Digital Marketing & Design works closely with companies in the fintech industry to develop digital marketing solutions that utilize strategic, creative and growth technique, attracting a wider range of audiences. The agency’s digital solutions largely focus on forming an online presence through visual identity design, website design, UI/UX strategy and more, backed by custom acquisition campaigns that incorporate SEO, paid media, content marketing and email marketing to reach consumers across multiple platforms.
Founded: 1999
Real Chemistry partners primarily with businesses in the healthcare industry, delivering a range of marketing, intelligence and PR services to help pharmaceutical companies and providers alike spread their message. Marketing services from the agency focus on producing personalized, digital-first content that lines up with company goals and audience interests.
Founded: 2011
Launch Digital Marketing is a full-service digital agency dedicated to imagining, building and designing online experiences that connect audiences with brands across industries. The agency takes a strategic approach to search engine optimization, utilizing both paid and organic techniques, along with an AI-powered dynamic advertising platform to build powerful campaigns that reach users in exceptional places.
Founded: 2008
UnCommon Logic is constantly investigating and diving into its clients’ digital marketing data to discover funnel hangups and lead to purposeful marketing activations. Though relying heavily on paid media, conversion rate optimization, and analytics reporting tactics to bolster customer success, UnCommon Logic’s SEO services include SEO audits, visibility research, technical SEO, content strategy, backlink strategy, and more to facilitate consistent traffic over time.
15 Web Design Companies & Agencies to Know in AustinSee More Digital Stories
Founded: 2016
RegEx SEO combines the abilities of creative, strategic and digital marketing professionals to develop campaigns that set the tone for a brand to build over time. A full range of design services allow RegEx SEO to set their clients up with the visual identity that best represents their brand, with digital marketing capabilities that include social, SEO, paid search and email marketing, providing increased visibility from day one.
Founded: 2008
TastyPlacement relies on more than a decade of SEO expertise to develop digital campaigns that boost visibility and bring more qualified leads to websites. Specializing in SEO while providing a range of digital marketing capabilities, TasyPlacement provides growth tactics to businesses whether they operate brick-and-mortar stores, run e-commerce websites, do business on Amazon or operate in any other domain.
Founded: 2009
Rock Candy Media goes beyond standard digital marketing techniques to develop unique growth solutions that are focused entirely on increasing profits for its clients. Working across a range of industries, including emerging tech, commercial technology, healthtech, retail technology and SaaS technologies, Rock Candy Media operates diligently to deliver a versatile set of capabilities that address exactly what the client needs to succeed.
Founded: 2016
Blackhawk Digital Marketing is a full-service agency based out of Austin with a complete stack of digital capabilities that include brand design, content creation, campaign development and more. The agency’s suite of online marketing operations include website hosting, reputation management, CRM management, SEO, and research and analytics, leading to huge impacts on its clients’ traffic and customer acquisition capabilities.
Founded: 1976
Lee Tilford Agency emphasizes openness and forward-thinking collaboration when designing advertising solutions for its clients, identifying immediate needs and long-term goals to develop campaigns that fire on all cylinders. A mix of advertising, media, audio/video and creative services are offered by the Lee Tilford Agency so brand stories can be told authentically, with SEO, social, branding and additional digital capabilities available to facilitate online growth.
This article was originally published in 2020. Mia Goulart contributed reporting to this story.
source
Explaining Agentic SEO To The C-Level – Search Engine Journal
/in website SEO, Website Traffic/by Team ZYTExplaining Agentic SEO To The C-Level Search Engine Journal
source
Top 19 SEO Tools We Use to Drive 65% of Site Traffic – Exploding Topics
/in website SEO, Website Traffic/by Team ZYTTop 19 SEO Tools We Use to Drive 65% of Site Traffic Exploding Topics
source