Latest news with #BERT
Time Business News
6 days ago
- Business
- Time Business News
Double Your Growth with Google & AI-Powered SEO Strategies
Standing out online is more important than ever. Whether you're an entrepreneur , a content creator , or a marketer , growing your online presence is always a goal. If you're looking to drive more traffic to your website and make a real impact, combining Google's power with AI-driven SEO might be the game changer you need. In this post, we're going to break down how you can double your growth using Google and AI-powered SEO strategies to help your site get noticed. If you're looking for expert help with your website's SEO, Khalid SEO has got you covered with personalized solutions to reach your growth goals. Let's start by breaking down what AI-powered SEO means. At its core, AI (Artificial Intelligence) in SEO uses machine learning, natural language processing (NLP), and other advanced technologies to optimize websites for search engines like Google. While traditional SEO techniques focus on keywords, backlinks, and content optimization, AI takes things a step further by analyzing data patterns, understanding user intent, and continuously improving SEO strategies based on real-time insights. Google, the leader in search engines, has been using AI in its algorithms for years. It powers tools like Google RankBrain and Google BERT, which understand search queries in a more human-like way. By tapping into these tools, AI-powered SEO can help you stay ahead of the curve, ensuring your content ranks high on Google and attracts more traffic. Google's dominance in the search engine world is not by chance. The company has been a pioneer in adopting AI technologies to improve user experience and refine search algorithms. Google's RankBrain, for example, uses machine learning to process search queries and understand their meaning, even when the words are phrased differently from what was expected. Meanwhile, BERT (Bidirectional Encoder Representations from Transformers) helps Google understand the context of words in search queries, offering better results. For businesses and website owners, this means that simply stuffing keywords into your content is no longer enough. Google's AI is now capable of understanding the intent behind a search query, making it essential to create content that answers user questions in a comprehensive and natural way. Leveraging this understanding through AI-powered SEO strategies can drastically increase your chances of ranking higher on search results, driving more traffic to your site. Now that you understand the importance of AI in SEO, let's dive into the tools and technologies that can help you optimize your website and double your growth. The first step in any SEO strategy is finding the right keywords. AI-powered tools make this process more efficient and effective. Google Keyword Planner, LSI Graph, and other AI-based tools help generate keywords that are semantically related to your main topic. These tools go beyond simple keyword matching by suggesting long-tail keywords and terms that search engines like Google favor for better visibility. AI can also analyze user intent, giving you a clearer idea of what your audience is looking for. With tools like SurferSEO and Jasper AI, you can fine-tune your keyword strategy to match what people are actually searching for, ensuring your content resonates with them. Once you've got your keywords, it's time to optimize your content. AI tools can help you with on-page SEO by suggesting where to place keywords, optimizing your meta descriptions, and adjusting your headlines. Tools like and use AI to create SEO-friendly content by analyzing top-ranking pages and suggesting ways to improve your own. Additionally, AI helps make your content more engaging by understanding readability and ensuring your content is accessible to a wide audience. Whether it's adjusting sentence lengths or recommending keyword variations, AI can make your content more effective in the eyes of both users and search engines. Machine learning allows AI to continuously analyze and optimize your SEO strategy. Google's algorithms, powered by machine learning, can predict trends and adjust rankings based on changing search patterns. By leveraging machine learning, AI-powered SEO tools can analyze your website's performance, identify opportunities for improvement, and help you optimize your strategy to stay ahead of the competition. Using machine learning-based platforms, such as MarketMuse, can help you assess your website's SEO health and suggest improvements that directly contribute to growth. Google constantly updates its algorithms to improve search results and keep up with new trends. While these updates can sometimes shake up your SEO efforts, AI can help you adapt quickly. Google frequently updates its algorithm to enhance the user experience and improve search results. Updates like BERT, RankBrain, and Core Web Vitals have shifted the focus towards more user-centric and meaningful content. The key to staying ahead is keeping up with these changes and adapting your SEO strategy. With AI-powered SEO, adapting to Google's updates becomes easier. Tools like SEMrush and Moz use AI to track algorithm changes and suggest immediate actions. Whether it's re-optimizing your content for featured snippets or adjusting your site speed for better Core Web Vitals, AI provides the insights you need to maintain or improve your ranking. Ready to double your growth? Follow these simple steps using AI-powered SEO strategies: Step 1: Conduct AI-Driven Keyword Research Start by using AI-powered tools to identify the best keywords for your content. Use tools like LSI Graph, SEMrush, and Ahrefs to find long-tail keywords and semantically related terms that can drive organic traffic to your site. Step 2: Optimize Your Content with AI Once you've identified your keywords, use AI tools like and to optimize your content. These tools can suggest keyword placements, improve readability, and ensure your content is optimized for both users and search engines. Step 3: Improve User Engagement with AI Insights AI-powered tools can also analyze user behavior and suggest ways to improve engagement. By personalizing your content and optimizing your site based on real-time insights, you can increase your site's engagement and encourage visitors to stay longer. Step 4: Measure Your Growth with AI-Powered Analytics Use AI tools like Google Analytics and HubSpot to track your website's performance. These tools provide valuable data on user behavior, traffic sources, and content performance, helping you refine your SEO strategy for even better growth. While AI can significantly enhance your SEO efforts, there are a few mistakes to avoid. While automation can save time, it's important not to rely solely on AI tools. Human creativity and strategic thinking are essential for creating valuable, high-quality content that resonates with your audience. AI can help analyze user intent, but it's essential to always keep the user in mind. Ensure your content answers the questions your audience is asking, rather than simply focusing on ranking for keywords. AI-powered SEO is no longer a luxury but a necessity for businesses aiming to grow online. By leveraging AI tools and Google's search algorithms, you can optimize your content, increase traffic, and ultimately double your growth. Stay ahead of the curve, adapt to changing trends, and continuously refine your SEO strategies using AI to achieve long-term success. 1. What is AI-Powered SEO? AI-powered SEO uses artificial intelligence technologies like machine learning and natural language processing to optimize websites for better search engine rankings. 2. How can AI improve my website's SEO? AI helps with keyword research, content optimization, and analyzing user behavior. It can also adapt to Google's algorithm updates and continuously improve your website's SEO strategy. 3. What are the best AI tools for SEO? Some of the best AI tools for SEO include SEMrush, LSI Graph, and Moz. These tools can assist with keyword research, content optimization, and performance tracking. 4. How does Google's AI algorithm impact SEO? Google's AI algorithms, like RankBrain and BERT, prioritize high-quality, user-focused content. These algorithms understand context and intent, making it essential to create meaningful, valuable content. 5. Can AI replace traditional SEO practices? While AI can greatly enhance SEO efforts, it works best when combined with traditional SEO practices. Human creativity and strategic thinking are still essential for creating content that truly resonates with users. TIME BUSINESS NEWS
Yahoo
01-07-2025
- Business
- Yahoo
Google's quiet AI win spells trouble for Amazon
Google's quiet AI win spells trouble for Amazon originally appeared on TheStreet. At first, it felt like Google () was caught flat-footed in the AI arms race. Bard's rocky debut and lackluster chatbot responses had everyone practically writing off the search giant in the AI race. 💵💰💰💵 Fast forward a few years, and Google's been busy behind the scenes, quietly developing a next-gen arsenal. Now it's rolling out custom Tensor Processing Units (TPUs), launching slick new AI models, and landing some of the who's who in the AI space as customers. That early stumble might have just been a warm-up for Google stock's massive AI comeback. Lately, Google's hybrid model has been turning heads, and ironically, it just got the nod from an old AI rival, completing a full-circle flex. Google has been a software-first company since the outset and has efficiently woven AI into every layer of its software stack. Its push into custom AI chips, though, highlights that it can thrive on the hardware side, too. Think of Google's TPUs as tailor-made silicon that can effectively handle the monster math that runs modern AI models. These application-specific integrated circuits (ASICs) are specifically designed so neural networks can hum along at full v3, for example, can train BERT, Google's game-changing language model, roughly eight times quicker than Nvidia's older V100 GPU. TPU v4 took things up a notch, squeezing 1.2 to 1.7 times more performance per watt than Nvidia's A100. These come with a caveat, though, as Google keeps TPUs locked inside its cloud, so developers need to adapt to Google's runtime instead of Nvidia's more universal CUDA ecosystem. That hasn't stopped the big hitters like Apple, Cohere, and Anthropic from tapping TPUs for serious AI workloads. More AI Stock News: Veteran analyst issues big Broadcom call, shakes up AI stock race Veteran analyst drops bold new call on Nvidia stock Gemini, ChatGPT may lose the AI war to deep-pocketed rival Sure, Nvidia still dominates the 70% to 95% share of the AI accelerator market, but TPUs are carving out a niche for high-volume inference jobs, which bank on speed and efficiency. Nevertheless, Google still makes the lion's share of its income (roughly 80%) from ads, powering search, YouTube, and partner sites. However, the real growth engine these days is Google Cloud, and tools like BigQuery and Vertex AI allow businesses to crunch data and build smarter stuff. Now, Google's leaning into hardware, too, and that massive hybrid play could pull in billions in incremental revenues, challenging Nvidia's GPU stronghold. OpenAI is sending a big signal to the AI hardware space, and it's not good news for Amazon () . The Microsoft-backed AI behemoth is looking to ink a deal where it runs part of its surging workloads on Google's TPUs. Morgan Stanley calls this move a 'significant endorsement' of Google's AI hardware. OpenAI has predominantly tapped Nvidia's powerful GPUs to train and run ChatGPT and its other large language models (LLMs) for years. However, with supply bottlenecks and cost constraints, OpenAI is looking to diversify its suppliers and meet the growing demands of its won't be getting Google's latest, top-shelf TPUs, but that barely matters. Perhaps the bigger flex is that OpenAI picked Google's older chips over Amazon's Trainium, a major blow to the online retail giant. If this deal holds, OpenAI would be running its workloads on Google Cloud, Azure, Oracle, and CoreWeave, leaving out Amazon. For Google, that's a massive win for its custom silicon dreams. Also, with Apple and Cohere already on board, OpenAI's nod will likely boost faith in Google's AI chips. On the flip side, Amazon's homegrown AI chips sound good on paper, but they haven't quite delivered. Inferentia (inference chips) promised major cost savings, but barely powers 3% of Amazon Web Services (AWS) AI work. Trainium (training workloads) undercuts Nvidia's prices but keeps tripping over networking bugs and clunky software. Hence, AWS is far from cracking Nvidia's iron grip, despite shelling out over $4 billion on Anthropic and having Trainium 2 on quiet AI win spells trouble for Amazon first appeared on TheStreet on Jul 1, 2025 This story was originally reported by TheStreet on Jul 1, 2025, where it first appeared. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Miami Herald
01-07-2025
- Business
- Miami Herald
Google's quiet AI win spells trouble for Amazon
At first, it felt like Google (GOOGL) was caught flat-footed in the AI arms race. Bard's rocky debut and lackluster chatbot responses had everyone practically writing off the search giant in the AI race. Don't miss the move: Subscribe to TheStreet's free daily newsletter Fast forward a few years, and Google's been busy behind the scenes, quietly developing a next-gen arsenal. Now it's rolling out custom Tensor Processing Units (TPUs), launching slick new AI models, and landing some of the who's who in the AI space as customers. That early stumble might have just been a warm-up for Google stock's massive AI comeback. Lately, Google's hybrid model has been turning heads, and ironically, it just got the nod from an old AI rival, completing a full-circle flex. Image source: Morris/Bloomberg via Getty Images Google has been a software-first company since the outset and has efficiently woven AI into every layer of its software stack. Its push into custom AI chips, though, highlights that it can thrive on the hardware side, too. Think of Google's TPUs as tailor-made silicon that can effectively handle the monster math that runs modern AI models. These application-specific integrated circuits (ASICs) are specifically designed so neural networks can hum along at full throttle. Related: Europe's bold AI play spells jackpot for Nvidia and AMD TPU v3, for example, can train BERT, Google's game-changing language model, roughly eight times quicker than Nvidia's older V100 GPU. TPU v4 took things up a notch, squeezing 1.2 to 1.7 times more performance per watt than Nvidia's A100. These come with a caveat, though, as Google keeps TPUs locked inside its cloud, so developers need to adapt to Google's runtime instead of Nvidia's more universal CUDA ecosystem. That hasn't stopped the big hitters like Apple, Cohere, and Anthropic from tapping TPUs for serious AI workloads. More AI Stock News: Veteran analyst issues big Broadcom call, shakes up AI stock raceVeteran analyst drops bold new call on Nvidia stockGemini, ChatGPT may lose the AI war to deep-pocketed rival Sure, Nvidia still dominates the 70% to 95% share of the AI accelerator market, but TPUs are carving out a niche for high-volume inference jobs, which bank on speed and efficiency. Nevertheless, Google still makes the lion's share of its income (roughly 80%) from ads, powering search, YouTube, and partner sites. However, the real growth engine these days is Google Cloud, and tools like BigQuery and Vertex AI allow businesses to crunch data and build smarter stuff. Now, Google's leaning into hardware, too, and that massive hybrid play could pull in billions in incremental revenues, challenging Nvidia's GPU stronghold. OpenAI is sending a big signal to the AI hardware space, and it's not good news for Amazon (AMZN) . The Microsoft-backed AI behemoth is looking to ink a deal where it runs part of its surging workloads on Google's TPUs. Morgan Stanley calls this move a "significant endorsement" of Google's AI hardware. OpenAI has predominantly tapped Nvidia's powerful GPUs to train and run ChatGPT and its other large language models (LLMs) for years. However, with supply bottlenecks and cost constraints, OpenAI is looking to diversify its suppliers and meet the growing demands of its customers. Related: Big Wall Street call flips script on S&P 500 'Goldilocks' rally OpenAI won't be getting Google's latest, top-shelf TPUs, but that barely matters. Perhaps the bigger flex is that OpenAI picked Google's older chips over Amazon's Trainium, a major blow to the online retail giant. If this deal holds, OpenAI would be running its workloads on Google Cloud, Azure, Oracle, and CoreWeave, leaving out Amazon. For Google, that's a massive win for its custom silicon dreams. Also, with Apple and Cohere already on board, OpenAI's nod will likely boost faith in Google's AI chips. On the flip side, Amazon's homegrown AI chips sound good on paper, but they haven't quite delivered. Inferentia (inference chips) promised major cost savings, but barely powers 3% of Amazon Web Services (AWS) AI work. Trainium (training workloads) undercuts Nvidia's prices but keeps tripping over networking bugs and clunky software. Hence, AWS is far from cracking Nvidia's iron grip, despite shelling out over $4 billion on Anthropic and having Trainium 2 on deck. Related: Veteran analyst drops jaw-dropping Tesla stock target The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc.
Time Business News
29-05-2025
- Business
- Time Business News
10 Advanced SEO Techniques Only Experts Are Using
It's no longer enough to just know SEO—you have to master it. In 2025, search engine optimization is evolving faster than ever, and if you're still relying on the basics, you're already behind. That's why only a few experts are tapping into the full potential of Advanced SEO Techniques—methods that go beyond keyword stuffing and backlinks to deliver long-term, scalable results. If you're serious about ranking higher, gaining authority, and truly understanding how to future-proof your digital presence, this deep dive into the strategies elite professionals are quietly using will give you a serious edge. From AI-driven optimization to semantic search mastery, here's what the top 1% of SEO specialists are doing differently. Google's shift toward Natural Language Processing (NLP) and AI-powered algorithms like BERT and MUM has dramatically changed how content is evaluated. Semantic SEO goes beyond targeting keywords—it's about creating a topic ecosystem. Experts create pillar pages that address broad search intents and support them with tightly connected cluster articles covering subtopics in depth. This structure not only improves crawlability but also signals expertise and authority on a subject, which Google rewards with higher rankings. It's how top marketers build topical authority without relying solely on backlinks. With the phasing out of third-party cookies, first-party data has become SEO gold. Experts are integrating CRM and analytics platforms to mine user behavior and develop predictive models. By mapping first-party data to specific user intents, marketers can anticipate what content will resonate with users before they even search for it. This allows for content personalization at scale, especially when aligned with automated content systems or dynamic content rendering. AI tools like ChatGPT, Jasper, and Writesonic have changed the game—but simply generating content isn't enough. Experts use AI to build the first draft and then enhance it with human expertise, storytelling, and factual verification. This hybrid approach saves time while ensuring the final product aligns with E-E-A-T principles (Experience, Expertise, Authoritativeness, Trustworthiness). Google can now detect AI-written content that lacks depth, so expert SEOs fine-tune everything for authenticity and accuracy. Structured data isn't new, but few marketers are fully exploiting its power. Experts implement advanced schema types like FAQ, HowTo, Speakable, and Author markup—not just the standard Article and Product schemas. These markups provide search engines with precise signals about content type, increasing the chance of earning rich snippets, voice search results, and visibility in Google Discover. Some SEOs even experiment with custom schemas in niche verticals to stand out. Over 60% of Google searches end without a click. That's why expert SEOs are optimizing for zero-click searches by owning position zero with concise, high-value content designed for featured snippets, People Also Ask, and Google Knowledge Panels. Instead of chasing clicks, the goal is brand visibility and authority. This involves writing precise definitions, question-based content, and structured answers that directly address the query within the first 100 words of a page. Google is no longer ranking pages—it's ranking entities. Expert SEOs are ensuring that brands, people, and products are recognized as distinct entities in the Knowledge Graph. They do this by optimizing Google Business Profiles, Wikidata entries, LinkedIn pages, and consistent schema markup across platforms. The more Google can identify your content as part of a known entity, the more trust and visibility it gets in search results. For websites targeting large sets of keywords (like ecommerce or real estate platforms), programmatic SEO is a game-changer. Experts build systems that generate hundreds or thousands of optimized pages using dynamic templates, keyword variations, and structured content blocks. This method works especially well for 'long tail' queries with high conversion potential. The key is ensuring quality and uniqueness in each output—something that's now easier with AI integration and modular CMS setups. Google's emphasis on user experience isn't going anywhere. Core Web Vitals—metrics like Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift—are baked into the ranking algorithm. Expert SEOs go beyond just hitting these numbers; they redesign site architecture, eliminate render-blocking resources, and apply lazy loading techniques. This focus on seamless UX reduces bounce rates and improves rankings on both mobile and desktop. Modern SEO isn't just reactive—it's predictive. Experts analyze trending topics, seasonal keywords, and historical search data to publish content before demand peaks. They also track the appearance of new SERP features like AI Overviews, Shopping Graph integrations, or featured videos. By optimizing for emerging formats early, they gain competitive advantages and secure valuable real estate before the competition catches up. One of the most underrated Advanced SEO Techniques is combating content decay—when once-successful articles lose rankings due to freshness or relevance issues. Experts continuously audit their top-performing pages and update them with current stats, new visuals, and improved internal linking. They also rewrite outdated information, re-optimize headers, and add multimedia to align with current SERP expectations. This strategy not only recovers lost traffic but also strengthens overall site authority in Google's eyes. These techniques are not theoretical—they're already being implemented by top SEO strategists, SaaS giants, and cutting-edge content teams. As Google gets smarter, your SEO must become more strategic, technical, and user-focused. Whether you're a freelance marketer or part of a high-performing growth team, integrating even a few of these approaches can radically improve your visibility. And if you're serious about staying ahead, consider enrolling in an advanced digital marketing course that goes beyond the basics and delves into real-world applications of these methods. As we head into a more AI-integrated digital landscape, success will belong to those who understand not just how to optimize for search engines, but how to predict, adapt, and lead within the ecosystem. TIME BUSINESS NEWS
Forbes
20-05-2025
- Business
- Forbes
How AI Is Changing The Way Customers Search For Businesses
Jay Sen, CEO of JV Capital & HireCoder AI– Expert in AI, tech startups, VC & recruiting. Traditional search volumes are expected to drop 25% by 2026 due to AI chatbots, according to Gartner. Meanwhile, websites already ranking high on Google are losing nearly 50% of traffic because of Google's AI Overviews. It's not just a trend but an actual shift. The way people find businesses is changing rapidly—and I believe this change necessitates that we as business leaders modify our strategies to remain visible and competitive. Traditional search engines like Google initially relied on exact-match keywords to answer user queries. But this method was generally inefficient. To improve the search quality and user experience, they started incorporating large language models (LLMs) into their algorithm. For example, in 2019, Google came up with BERT, which helps the search engine understand user queries better and offer more relevant search results. But things have completely changed now. Google is losing its market share to AI chatbots like ChatGPT. To compete, Google released their own chatbot—Gemini. These AI chatbots are really good at leveraging user data to provide tailored recommendations, which directly impact how individuals find businesses. Google also released AI Overviews for information retrieval, providing users with the answers to their queries without even clicking on any search results. All these combined have reduced the organic search traffic by up to 50% for the top three ranking websites. And these numbers could continue to increase with time. But there is still some good news for marketers and businesses: Although the organic search traffic has reduced, it has not completely vanished, and some of it is now coming in the form of referral traffic from AI Overviews and AI chatbots. Businesses need to adapt to these changes to stay competitive. One such step is changing your SEO approach to go beyond keywords and account for user intent. Since search engines can now understand user intent beyond keywords, they can provide more accurate and contextually relevant results to these voice queries. That's why it's important to optimize your webpages for long-tail conversational keywords. The next thing you can do is leverage your first-party data, such as customer reviews, behavior, preferences, past purchases, etc. Use this information to make hyper-personalized content for your audience, and implement structured data and FAQ schema into your webpages. Structured data helps search engines understand and categorize content more effectively and increases the chances of appearing in rich results. FAQ schema allows voice assistants to pull direct answers from web pages and, in my experience, can improve overall visibility in voice search queries. This personalized content, when paired with structured data markup, can not only rank you for long-tail queries to drive organic traffic but also increase your chances of being cited by AI chatbots and AI Overviews. Users don't always find your business on search engines, so it's important to be present on the platforms where your prospects can find you. These platforms analyze multiple factors before putting your business in front of your potential audience. For instance, Google Maps and Yelp rank businesses based on AI's assessment of your service quality, response times and review scores. Ecommerce platforms like Walmart and Amazon, on the other hand, leverage machine learning to predict and recommend products. An Omnisend survey of U.S. respondents shows that nearly 31% of users like recommendations made by AI, as it speeds up the shopping process. And these are just a few examples. AI is being used almost everywhere, and that's why a number of businesses are opting for a holistic marketing approach. By being digitally available on all the platforms where their audience is, leveraging reviews and engaging with users, businesses can show they're active and improve their visibility on such platforms. Business discovery goes beyond traditional text-based searches. Along with voice, image-based and multimodal searches allow users to find businesses in new ways. For example, there were already platforms like Google Lens, Pinterest Lens and Bing Visual Search that could be used for image-based searches. Now, we have platforms like ChatGPT and Gemini that allow users to combine text, voice and images to refine their queries. While visual and multimodal searches are not as common today as voice and text-based searches, these are not the concepts of the far future. In my experience, people are already switching to them, and that's why optimizing for these channels can be a worthy investment for businesses. I've found that the best way to optimize for this type of search is to properly use alt-tags, descriptions, metadata and schema for your visual content. Also, make sure that your business has consistent branding across platforms to make it easy for users and search engines to recognize your brand. AI isn't changing search to create obstacles; it's refining it to be more intuitive. Instead of just matching keywords, AI is used to understand intent, predict user needs, and deliver value—sometimes before the customer even realizes they need it. This shift creates opportunities for businesses to build trust and authority across multiple discovery channels. The better AI understands your business, the more it can recognize your expertise and credibility. And the stronger this association, the more frequently AI should surface your brand when potential customers search. There's no shortcut or algorithm trick. The key is to create valuable, discoverable and AI-friendly content that genuinely helps people—because when your content is useful, AI will distribute it naturally. Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
