#AI agents Google

[infoanalysishub]

Google Expands AI Features in Search

Explore Google’s latest AI-powered Search updates announced at I/O 2025. Learn about AI Mode, Gemini 2.5 integration, AI Overviews in 200+ countries, Deep Search, Visual Search, AI Agents, and personalized shopping tools. Google Expands AI Features in Search: Everything You Need to Know About the Latest Upgrades At its annual I/O developer conference, Google revealed a powerful set of updates…

[eldritch-ambrosia]

Do you ever think about how for almost 1000 years there's this story about a King named Arthur with an old man wizard advisor named Merlin and then in 2008 (and onward) it got rewired to where we're writing fanfiction and making art and edits of them kissing?

If you told someone 20 years ago that you wanted to see King Arthur and Merlin kiss they would've thought you were crazy.

[blindingchangelingwarlock]

"Google demoed ‘Gemini Agents’ at I/O 2025 for automating multi-step tasks (e.g., travel planning). Has anyone tested this with real workflow automation? How reliable is it compared to Zapier/Make

[peterbordes]

Groq just made Hugging Face way faster — and it’s coming for AWS and Google.

Hugging Face + Groq = Game Changer for Builders

Groq is now integrated into the Hugging Face Playground and API, unlocking the speed to bring your most ambitious ideas to life — faster than ever.

From smarter agents to real-time copilots, the future is yours to build.

#AI #artificialintelligence #huggingface

[businesspromotion247-blog]

Google AI Mode Smarter Than Ever - But Is It Killing Blog Traffic?

Google's new AI Mode delivers instant answers, but it could kill your website traffic. Learn how AI Overviews work and discover actionable SEO strategies to adapt and thrive in this new search era.

Introduction

You’ve probably seen it. You type a question into Google, and instead of a list of ten blue links, a polished, comprehensive answer appears right at the top of the page. It’s like having a super-smart research assistant who does all the work for you.

Google has launched AI Mode, and it's completely transforming how we search, shop, and solve problems. Now, instead of just links, you get instant answers, personalized shopping experiences, and even a smart assistant that can handle complex, multi-step queries. For users, it’s a remarkable leap forward—faster, more efficient, and incredibly intuitive.

BUT… there's a downside. A huge one.

For the millions of bloggers, creators, and businesses who have built their livelihoods on ranking in Google search, this new AI-driven world feels less like a convenience and more like an existential threat. If Google answers the user's question directly, why would they ever need to click through to your website?

This is the billion-dollar question echoing through the digital marketing world right now. This AI revolution could drastically reduce traffic to your blog or website, impacting ad revenue, lead generation, and brand visibility.

The panic is understandable, but it's not the full story. This shift isn't just a threat; it's also an evolution that presents new opportunities for those willing to adapt.

In this comprehensive guide, we'll cut through the noise and explore: ✅ What Google AI Mode and AI Overviews really are. ✅ The hard data on how they are already impacting website traffic. ✅ The core debate: Is Google's AI helping or hurting creators? ✅ Actionable SEO strategies you can implement right now to protect your traffic and future-proof your content.

Do you think Google AI mode is helping or hurting creators? 💬 Let me know in the comments below. Let's dive in.

Part 1: What Is "Google AI Mode" and How Does It Work?

Before we get into the strategies, it's crucial to understand what we're up against. "Google AI Mode" isn't just one single feature; it's the umbrella term for Google’s integration of generative AI directly into the search experience. The most visible and impactful part of this is AI Overviews.

You might have known it by its experimental name, Search Generative Experience (SGE). Now, it's live and rolling out to billions of users.

So, what is an AI Overview?

An AI Overview is an AI-generated summary that appears at the top of the search results page (SERP) for many queries. Instead of just showing you links, Google's AI models read, understand, and synthesize information from multiple web pages to create a single, cohesive answer. These overviews often include images, links to the source articles, and carousels, dominating the most valuable real estate on the screen.

From Google's perspective, this is the natural evolution of search. Why give someone a list of ingredients (links) when you can give them the finished cake (the answer)?

For a user asking, "What are the benefits of matcha vs. coffee?", the AI Overview might provide a neat, bulleted list comparing caffeine levels, antioxidants, and effects like "calm focus" versus "jitters." It pulls this information from top-ranking health blogs, scientific sites, and news articles.

The user gets their answer in seconds without ever leaving Google. It's brilliant for them. But if you're one of those health bloggers whose article was used to generate that answer, you just lost a potential visitor.

This leads us to the heart of the problem.

Part 2: The Data Doesn't Lie: The Cold, Hard Impact on Traffic

This isn't just theoretical fear-mongering. The data is already rolling in, and for many, it's grim. The rise of Google AI mode is accelerating a trend that's been growing for years: the zero-click search.

A zero-click search is exactly what it sounds like—a search query that is satisfied on the results page itself, resulting in no "click" to an external website. Featured snippets and knowledge panels started this trend, but AI Overviews have put it into overdrive.

Recent studies paint a stark picture:

Plummeting Click-Through Rates (CTR): A study by Search Engine Land highlighted that MailOnline, a major news publisher, saw its CTR for top-ranking keywords drop by a staggering 56% when an AI Overview was present. Even in the best-case scenario where they were cited in the overview, their CTR was still nearly 44% lower.

The Growth of Zero-Click Searches: Before the wide rollout of AI Overviews, over half of all Google searches were already zero-click. With AI in the mix, some analysts project this number could climb towards 70%. That means for every 10 searches related to your niche, 7 might end without anyone ever visiting your site.

Broad Industry Impact: This isn't just affecting one or two niches. Reports show that informational sites—recipe blogs, travel guides, DIY tutorials, health and wellness sites, and tech help forums—are among the hardest hit. Some independent sites have reported losing up to 65% of their traffic on top pages since AI Overviews became prominent.

The logic is simple and brutal: the better Google gets at answering questions directly, the less it needs to send users elsewhere. For a business model that relies on attracting eyeballs to generate revenue, this is a fundamental disruption.

Part 3: The Creator's Dilemma: A Helpful Assistant or a Content Thief?

The debate raging in forums, social media, and marketing boardrooms is whether Google AI mode is a net positive or negative for the web ecosystem. There are strong arguments on both sides.

The "It's Killing Us" Argument

Massive Traffic Loss: This is the most obvious and immediate pain point. Less traffic means less ad revenue, fewer affiliate sales, and a smaller pool for lead generation. For many small blogs and independent creators, this is a direct hit to their income.

Content Scraping Without Compensation: Creators feel that their hard work—their research, experience, and writing—is being used to train and power Google's AI models without fair compensation or even consistent credit. Your unique insights become a faceless part of an AI-generated composite.

Reduced Brand Visibility: Clicks aren't just about revenue; they're about building a brand and a community. When users don't land on your site, they don't see your logo, subscribe to your newsletter, or follow you on social media. The opportunity to build a direct relationship is lost.

The "There's a Silver Lining" Argument (Google's View)

Higher Quality Traffic: Google argues that the users who do click through from an AI Overview are more qualified and engaged. They've already gotten the basic answer and are now clicking for deeper knowledge, making them more likely to convert or become a loyal reader. Some major companies, like NerdWallet and HubSpot, have reported decreased traffic but increased revenue, suggesting this might hold true for some.

New Form of Visibility: Being cited in an AI Overview is the new "Position Zero." It's a powerful endorsement from Google that can build brand authority and trust, even if it doesn't result in a direct click. Users may see your brand name repeatedly and eventually search for you directly.

Forces Higher Quality Content: The rise of AI forces creators to level up. Generic, list-based articles that just rehash information from other sites are the most vulnerable. To stand out now, you must create content that provides unique value that AI cannot replicate—first-hand experience, original research, deep analysis, and a strong, authentic voice.

The truth, as it often is, lies somewhere in the middle. The landscape has undeniably changed, and clinging to old SEO methods is a recipe for failure. The only path forward is to adapt.

Part 4: Your Survival Guide: SEO Strategies for the Google AI Era

Panic is a strategy, but not a good one. Instead of seeing this as the end, view it as a new game with new rules. Here are five actionable strategies to adapt your SEO and content for a world with Google AI mode.

Strategy 1: Double Down on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)

This has been Google's mantra for years, but now it's non-negotiable. The "Experience" component is your new secret weapon. AI can't experience things.

Share Personal Stories: Don't just list the "10 Best Hiking Boots." Write about the time you took a specific pair on a 3-day trek through the rain. Describe the blisters, the grip, the moment you were thankful for the waterproofing.

Include Original Data and Case Studies: Conduct your own surveys, analyze your own data, and present unique case studies. This is content that Google can't find anywhere else and is highly valuable for citations.

Showcase Your Authors: Use clear author bylines with detailed bios that link to their social profiles and other publications. Prove to Google that real, credible experts are behind your content.

Strategy 2: Target Long-Tail and Complex Queries

AI Overviews are best at answering relatively simple, factual questions. Your opportunity lies in the nuance and complexity that still requires a human touch.

Go Beyond "What": Instead of targeting "what is SEO," target "how to build an SEO strategy for a local plumbing business with a limited budget." The second query is far more complex and specific.

Think in Conversations: Use keyword research tools to find long-tail, conversational keywords. Structure your articles around answering a series of related, in-depth questions.

Solve Multi-Step Problems: Create pillar pages and ultimate guides that walk users through complex processes from start to finish. This depth of content is less likely to be fully summarized in a brief AI Overview.

Strategy 3: Optimize to Be the Citation

If you can't beat them, join them. Getting your site featured as a source link in an AI Overview is the new goal.

Answer Questions Directly: Structure your content with clear headings (H2s, H3s) that ask a question, and then immediately provide a concise, clear answer in the following paragraph. This makes it easy for the AI to "lift" your answer.

Implement Schema Markup: Use structured data like FAQPage schema, HowTo schema, and Product schema. This is like spoon-feeding Google information about your content in a language it perfectly understands, increasing your chances of being featured.

Keep Content Updated: AI models prioritize fresh, timely, and accurate information. Regularly review and update your cornerstone content to ensure it reflects the latest information in your field.

Strategy 4: Build Your Own Traffic Channels (The Great Escape)

The biggest risk of Google AI mode is being overly reliant on a single source of traffic that you don't control. Now is the time to diversify.

Start (or Grow) an Email List: An email list is an asset you own. Offer a valuable lead magnet (e.g., an ebook, a checklist, a free course) to get users to subscribe. This allows you to build a direct relationship with your audience.

Build a Social Media Community: Don't just broadcast on social media; build a community. Create a Facebook Group, a Discord server, or a lively Instagram presence where your audience can engage with you and each other directly.

Leverage Video and YouTube: YouTube is the world's second-largest search engine. Turn your blog posts into video scripts. Often, users prefer to watch a tutorial than read one, and it's a powerful way to build a loyal following.

Strategy 5: Shift Focus from Clicks to Brand

In a zero-click world, brand recall is a new key performance indicator (KPI). Your goal is to become so authoritative that users seek you out directly.

Develop a Unique Voice: Be memorable. Whether your brand is witty, academic, incredibly helpful, or deeply empathetic, have a personality that stands out from the generic AI tone.

Be Omnipresent: Appear on podcasts, guest post on other reputable blogs, and be active in online forums related to your niche. The more people see your brand name associated with expertise, the more likely they are to search for you by name.

Conclusion: Evolve or Be Left Behind

There's no denying it: Google AI mode represents the most significant shift in search in over a decade. For creators who rely on organic traffic, it's a period of uncertainty and challenge. To pretend otherwise would be naive.

However, it is not the death of blogging or SEO. It is the death of lazy blogging and formulaic SEO.

The internet will no longer reward content that simply organizes existing information. It will reward content that creates new information, shares genuine experiences, and provides deep, undeniable value. It will reward brands that build loyal communities beyond the confines of a search engine.

The road ahead requires a change in mindset—from chasing clicks to building authority, from optimizing for keywords to optimizing for people, and from relying on Google to building your own resilient brand. The creators who embrace this evolution won't just survive; they will emerge stronger, with a more engaged audience and a more sustainable business than ever before.

The game has changed. It's time to learn the new rules.

Frequently Asked Questions (FAQ)

Q1: Is SEO dead because of Google AI Mode? A1: No, SEO is not dead, but it is transforming. Foundational SEO practices like technical optimization, demonstrating E-E-A-T, and building authority are more important than ever. The focus is shifting from pure ranking and click acquisition to getting cited in AI Overviews and building brand recall.

Q2: Can I block Google from using my content in AI Overviews? A2: Currently, there is no specific tool to opt-out of AI Overviews alone. The general way to prevent content from appearing in Google's various results is using the nosnippet tag or blocking the Googlebot crawler entirely, but these are drastic measures that will also remove you from traditional search results and are not recommended.

Q3: Will all of my website traffic disappear overnight? A3: It's highly unlikely to disappear overnight. The impact varies greatly depending on your niche. Informational queries are most affected. Commercial, navigational, and complex local queries are less so. The key is to monitor your analytics and start adapting your strategy now rather than waiting for a significant drop.

Q4: How can I track my performance in AI Overviews? A4: This is a major challenge. Google Search Console does not currently separate traffic that comes from AI Overview links from general web search traffic. Marketers are relying on third-party rank tracking tools that monitor which keywords trigger AI Overviews and whether their domain is cited, but direct performance metrics are still lacking.

Q5: What is the single most important thing to focus on now? A5: Creating content that AI cannot easily replicate. Focus on your unique, first-hand experience. AI can summarize what's already known, but it cannot share a personal story, conduct a new experiment, or provide a truly original opinion. Your human experience is your greatest competitive advantage.

[the-ai-perspective]

Google Project Mariner Rollout and Features [Free Episode]:

[prasaddhumal82]

Google Search Evolves: Introducing AI Mode and Gemini Capabilities

Google is transforming its iconic Search experience with the rollout of AI Mode and the integration of its Gemini model. This marks a significant shift from simply delivering information to offering intelligent, interactive search capabilities. What Is AI Mode? AI Mode is a new, advanced search experience designed for users seeking deeper, more contextual answers. Built on Google’s Gemini 2.5…

[derrickjs]

Google DeepMind’s New AI Coding Agent AlphaEvolve

[tec-alpha]

The world of Google is constantly evolving! Check out my latest article on Elidorascodex.com to dive into the key developments and their implications. #Google #Tech #Innovation #ElidorasCodex

[codexkaznak]

The world of Google is constantly evolving! Check out my latest article on Elidorascodex.com to dive into the key developments and their implications. #Google #Tech #Innovation #ElidorasCodex

[pier-carlo-universe]

Trump reignites deportations: the nightmare of child separation returnsNew immigration policies shake immigrant families: fears grow over children's safety

Donald Trump’s recent actions, as part of his campaign to return to the White House, are reviving a nightmare that deeply marked his previous term: the forced separation of migrant children from their parents. According to the Washington Post, as Trump speeds up the deportation of undocumented adults, the risk is increasing that children will be left behind in the United States, brutally…

[aitalksblog]

Top Weekly AI News – April 25, 2025

AI News Roundup – April 25, 2025 Workers could save 122 hours a year by adopting AI in admin tasks, says Google Google reports workers could save 122 hours annually by using AI for administrative tasks reuters Apr 25, 2025 AI policies in Africa: Lessons from Ghana and Rwanda An analysis of AI policies in Africa highlights key lessons from Ghana and Rwanda, offering insights for other nations…

[govindhtech]

CodeRabbit GitHub builts AI code review agent with Cloud Run

CodeRabbit GitHub

CodeRabbit, a fast-growing AI code review platform, uses Google Cloud execute to safely execute untrusted code and cut code review time and mistakes in half.

CodeRabbit automates code reviews and improves code quality by comparing changes to the whole codebase and creating scripts for deeper analysis. Code hosting integration handles pull requests automatically.

To securely execute untrusted code, CodeRabbit needed a scalable, inexpensive, and secure execution environment to evaluate and run its clients' code.

You'll see how CodeRabbit utilised Google Cloud Run to construct an AI code review agent that can scale dynamically and safely manage massive amounts.

CodeRabbit integrates directly to GitHub and GitLab to automate pull request-triggered code reviews. Its interface with fundamental models analyses the whole change's impact, not just the updated files. This requires a sophisticated system that:

Clone the user's repository.

Install build environment requirements (npm install, go mod download, etc.).

Static analysis with 20+ linters and security scanners.

Run AI programs. Now things get really interesting. CodeRabbit's AI agent develops shell scripts to read the code, find patterns (using cat, grep, and ast-grep), and extract relevant information. Python code can be generated for analysis.

Use outside services. CodeRabbit generates and runs curl instructions to interact with Slack, Jira, and Linear.

Any solution must be safe, inexpensive, and scalable. By definition, analysed and run code is unreliable. It may have problems, be incomplete, or be dangerous.

The answer: Cloud Run

CodeRabbit seamlessly integrates many technologies to create a reliable and isolated execution environment:

Cloud Run services underpin CodeRabbit. First, a lightweight Cloud Run service validates subscriptions and invoicing and handles GitHub, GitLab, etc. webhook events. This service pushes a task to Google Cloud Tasks.

Google Cloud tasks: Serving as a queue isolates webhook handling from code execution. CodeRabbit now handles pull request surges without overloading.

The core of the system is Cloud Run execution service. Another Cloud Run service pulls tasks from Cloud Tasks. Every job requests code review. A 3600-second request timeout and 8 requests per instance allow this service to grow with CPU use. This setup is necessary since code reviews take 10–20 minutes. The Execution Service's in-memory volume mount holds the repository, build artefacts, and temporary files.

Sandboxing: A separate service identity lets you give all Cloud Run instances minimum IAM privileges. Both sandboxing levels are applied to all instances. CodeRabbit employs Cloud Run's second-generation Linux cgroup-capable microVM. CodeRabbit uses cgroups to restrict jailed processes and Jailkit to isolate processes within Cloud Run instances.

CodeRabbit prioritises sandboxing while running untrusted code, such as:

Rubocop and ESLint accept unique, unstable plugins.

LLM verification programs for codebase-wide analysis.

LLM CLI tasks like Jira or GitHub problem creation.

Python-based advanced analysis.

CodeRabbit scales dynamically using Cloud Run. During peak hours, over 200 Cloud Run computers submit 10 queries per second to CodeRabbit's Agentic PR Reviewer. Each big Cloud Run instance utilises 32GiB RAM and 8vCPUs. CodeRabbit's PR reviewer service on Cloud Run uses a lot of CPU, memory, and network traffic (downloading repositories and dependencies).

Try it yourself

CodeRabbit's use of Google Cloud Run shows how to build a secure, scalable, and affordable AI-powered code analysis platform. Their experience shows serverless technologies' promise, and their design can help developers solve similar difficulties. Cloud Run constantly adding features.

[dibelonious]

AI troubleshooting makes the classic Google Search looks like something prehistoric. And AI agents make the classic AI looks old and slow.

[jcmarchi]

The truth about enterprise AI agents (and how to get value from them)

New Post has been published on https://thedigitalinsider.com/the-truth-about-enterprise-ai-agents-and-how-to-get-value-from-them/

The truth about enterprise AI agents (and how to get value from them)

This article comes from Ryan Priem’s talk at our Washington, D.C. 2025 Generative AI Summit. Check out his full presentation and the wealth of OnDemand resources waiting for you.

What’s the point of AI if it doesn’t actually make your workday easier?

That’s the question I keep coming back to – and the one that ultimately brought me into the generative AI space. 

I’m Ryan Priem, and I lead sales for Glean here in the East. After more than two decades in tech, working in data and analytics at places like Snowflake and EMC, I saw something shift. Large language models weren’t just impressive – they were starting to offer real, measurable value.

But there’s a catch: value doesn’t come from the model alone. It comes from how well you apply it.

That’s what drew me to Glean. We’re focused on using AI to solve actual workplace problems. Whether it’s helping someone find the right document, answer a critical question, or automate a tedious task, we’re building AI that works the way people do.

This article is a walk-through of what that journey looks like and what it really takes to build useful, scalable agents that people actually want to use.

Let’s dive in.

What work AI systems actually do (and why they matter now)

We classify ourselves as a “work AI” company. What that means is we’re focused on three core use cases:

Find something. Think of enterprise search – Google-like capabilities across your entire data corpus. We’ve built 120+ native connectors that index everything from Slack and Teams to Confluence, Salesforce, and SharePoint.

Answer something. This is where generative AI kicks in. It’s about providing accurate, relevant answers from within your organization’s ecosystem – like what Microsoft Copilot does, but across all your apps.

Do something. This is the really exciting part: task automation. Whether it’s preparing for a meeting, writing follow-up notes, creating a social media post, or resolving a support ticket – these are the everyday things that slow people down. We help you automate them.

The key to all of this is reducing friction. If you can find the right doc in seconds, get the right answer immediately, and offload repetitive tasks to an agent, you can spend more time doing the high-impact work that actually moves the business forward.

AI agents: Automation and intelligent assistance (2025 guide)

AI agents are intelligent software entities designed to operate autonomously and achieve specific goals.

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