Google’s mobile-first indexing initiative that started just about seven years ago is now complete, according to Google. “It’s been a long road, getting from there to here. We’re delighted to announce that the trek to Mobile First Indexing is now complete,” John Mueller from Google wrote on the Google blog. History. As a reminder, Google started mobile-first indexing over 6.5 years ago, and eventually, after publishing deadline after deadline, Google removed the deadline. Google first introduced mobile-first indexing back in November 2016, and by December 2018, half of all sites in Google’s search results were from mobile-first indexing. Mobile-first indexing simply means that Google will crawl your site from the eyes of a mobile browser and use that mobile version for indexing and ranking. Google in early March 2020, before all the lockdowns began across most of the world, announced the deadline for all sites to switch over to mobile-first indexing would be September 2020. At that time, Google said, “To simplify, we’ll be switching to mobile-first indexing for all websites starting September 2020.” Then in July 2020, Google moved that deadline once again to March 2021. But in May, Google told us that it was done switching sites over to mobile-indexing, so this announcement, that it is “done” now is a bit confusing. What now. Google said there is “a very small set of sites which do not work on mobile devices at all.” Google explained that those “are primarily that the page shows errors to all mobile users, that the mobile version of the site is blocked with robots.txt while the desktop version is allowed for crawling, or that all pages on the mobile site redirect to the homepage.” Google said these types of issues are issues that Google cannot workaround. Google said it will “continue to try to crawl these sites with our legacy desktop Googlebot crawler for the time being, and will re-evaluate the list a few times a year.” Google will also reduce its crawling with legacy desktop Googlebot. Search Console changes. Google also announced that it will be turning off the indexing crawler information in the settings page in Google Search Console. Google is removing this because the “information is no longer needed since all websites that work on mobile devices are now being primarily crawled with our mobile crawler,” Google explained. Why we care. That is all folks – this is one for the history books. Mobile-first indexing is now really done, and Google will soon stop crawling via its legacy desktop crawler completely. The post Google says mobile-first indexing is complete after almost 7 years appeared first on Search Engine Land. via Search Engine Land https://ift.tt/Q7kDG6h
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AI companies (e.g., Google, OpenAI) are primarily using high-quality content created by news publishers to train generative AI systems, which then compete directly against those publishers. That’s the core argument made in a new report from News Media Alliance, a trade association that says it represents about 2,000 publishers in the U.S. and Canada.
Why we care. Since the arrival of Bing Chat, Google Bard and Google’s Search Generative Experience, publishers of all sizes have been concerned about generative AI replacing search, which could lead to a devastating impact on organic traffic, revenue and even the brand’s image. What News Media Alliance is saying. The report proves the trade association would have a good case in court, according to comments given by Danielle Coffey, News Media Alliance president and CEO, to the New York Times.
What Google and OpenAI are saying. Nothing so far. But we know Google believes all online content should be available for AI training unless publishers opt out. And the New York Times was one of the first to “opt out” by adding a line to its terms of service prohibiting developers of AI systems from using their content for training. Some control for news publishers. Any website can block GPTBot (and many popular websites have), and disallow content in Bing Chat, but there is no way to opt out of SGE (only Bard, Vertex and future models, via Google-Extended) – unless you block Googlebot entirely, which would also take you out of Search. Dig deeper. What is generative AI and how does it work? The post Report: Generative AI violates copyright law, rights of news publishers appeared first on Search Engine Land. via Search Engine Land https://ift.tt/dK5f4Gx Successful search marketers need to keep up with the latest trends and tactics while seamlessly executing on a day-to-day basis: Generative AI, PMax, Google’s Search Generative Experience, BERT, MUM, CTV, GA4… the list goes on. Finish 2023 on a high note – and enter the New Year primed for success: Attend SMX, online November 14-15, to learn actionable, reliable tactics that will give you an edge over the competition and set you up for a winning 2024 and beyond — all for free, and all without leaving your desk. Get ready for three exclusive keynotes about how you can leverage generative AI to your advantage:
And that’s just the start. Your free pass also unlocks…
Don’t miss your final chance in 2023 to participate in a free online training program designed by search marketers for search marketers. No hidden fees, no travel headaches, no excuses. What are you waiting for? Secure your free pass now! The post SMX kicks off in two weeks… don’t miss out! appeared first on Search Engine Land. via Search Engine Land https://ift.tt/Hop07hO Advertisers are moving from search-based channels to social media for eCommerce ads, according to a new report by DataFeedWatch. The research found that the use of search channels has dropped by over seven percentage points from 2022 to 2023. However, around 7% of all products submitted to Google Shopping were disapproved due to critical errors. Below is an overview of the biggest issues impacting merchants, including invalid GTIN values and violation of Google policies. Invalid GTIN errors affect almost half of all merchants (48.43%) and over 4% of submitted products. Google penalizes accounts for wrong GTIN values, so it’s crucial for merchants to fix identification problems to avoid listing rejections. Violation of Google policies impact 44%of all merchants. This means that Google’s algorithm flagged a policy violation in your feed. To identify the issue, contact Google for a review. Once you know the problem, make the required changes to your product feed or website. Common reasons for seeing this error on the product level include:
Swiftly resolving these problems is essential to minimize their adverse effects on your account and advertising performance. Promotional overlay on image impact 40% of merchants. If you spot this error, it indicates that one or more of your images have promotional overlays, which Google strictly prohibits. There are three key ways to resolve this issue:
Once you have them, map your feed with the correct image URLs under the ‘image_link’ attribute. What DataFeedWatch is saying. A spokesperson for DataFeedWatch commented on the report’s findings, saying:
What is DataFeedWatch? DataFeedWatch by Cart.com is a leading Feed Management Solution that helps global brands and agencies, like Adidas, Decathlon, and KENZO, to maximize campaign performance on more than 2,000 integrated shopping channels, affiliate networks, and marketplaces, including Google, Meta and Amazon. Deep dive. Read the DataFeedWatch Multichannel Marketing Report 2023 by in full for more information. The post Top data errors that cause Google Shopping to disapprove products appeared first on Search Engine Land. via Search Engine Land https://ift.tt/ZDFhB7W Google Ads has started serving a pop-up survey that disrupts advertisers when they try to pause campaigns. The survey asks users whey they want to pause their ad campaign before allowing them to continue. Why we care. The pop-up survey may annoy and inconvenience busy marketers who lack the time to explain their ad campaign pause to Google. Nonetheless, this feedback will aid Google in enhancing its product, ultimately benefiting advertisers in the long run. First look. The pop-up was first noticed by digital marketing expert Greg Kohler, who posted about the survey on X. He shared some screenshots of the notification and then asked Google:
Reaction. After Greg shared his findings on X, fellow PPC expert Greg Finn asked Google Ads to stop disrupting advertisers by displaying the survery. He wrote:
What Google is saying. Google Ads Liaison Ginny Marvin took to X to explain the purpose of the survey:
Deep dive. Visit the Google Ads Help Center for more information. The post Google Ads pop-up survey disrupting advertisers trying to pause campaigns appeared first on Search Engine Land. via Search Engine Land https://ift.tt/WIEtneh Google searches for AI content skyrocketed and have remained high throughout 2023 as businesses and creators tap into new opportunities to scale.
But while generative AI offers amazing content generation and optimization opportunities, balancing its capabilities and limitations is essential. Marketers are getting AI content right, from summarizing lengthy texts to crafting compelling social media copy. However, as we approach 2024, examining where generative AI content falls short is equally important as where it goes right. Issues such as misguided SEO research, factual accuracy, plagiarism risks and the absence of human expertise and reasoning are all in play – and they present risks and challenges for brands. Where marketers are getting AI content rightWhen used right, generative AI can streamline processes, improve efficiency and even boost the overall quality of content. Let’s explore key areas where marketers successfully leverage AI for content creation. Summarizing long passages of textOne of generative AI’s significant advantages is its ability to quickly and accurately summarize lengthy documents, reports or articles. This enables us to extract and share critical information with our audience. Generating landing page copy, titles and meta descriptionsCreating compelling landing page copy and meta descriptions is crucial for SEO and converting traffic to customers. You can use AI to analyze your core content and generate attention-grabbing titles, meta descriptions and landing page copy. Dig deeper: How to use AI and Chrome extensions for quick SEO wins Creating social media copy for promotionPromoting long-form content on social media platforms can be challenging, especially when you need to capture your audience’s attention quickly. Use AI to craft engaging social media posts tailored to your target audience. Extract key insights from long-form content and transform them into catchy captions and tweets to drive traffic to your in-depth articles or blog posts. Dig deeper: 17 tips to improve your AI-assisted content creation process Enhancing storytelling with use cases and examplesStorytelling is a powerful tool in marketing and AI can take it to the next level. Use it to craft relatable, persuasive stories showcasing the benefits of your product or service. It aids research by anticipating objections and questions. Producing copy and title variations for testingAI can enhance A/B testing with diverse copy and headline variations. Consider analyzing existing content and audience preferences to create alternatives for emails, websites and ads. This enables you to test and improve engagement and conversion rates quickly. While AI can be a valuable tool, it’s being abused and misused – as some do with all new toys. In the next section, we’ll explore some of the less effective and perhaps more dangerous ways people use AI for content creation. Where AI content falls downUsing generative AI in these ways can result in poor-quality content, misinformation, misleading recommendations and other undesirable results. The roots of any fall downs in generative AI are based on data. Whether it's ChatGPT, Bing AI, Google Bard or third-party tools, the quality and connectivity of the data that powers these AI systems is crucial. To achieve impressive results, prompt engineering and fine-tuning of data from large language models (LLM) have become increasingly prevalent. These techniques are vital for maximizing the potential of generative AI.
SEO and keyword researchRelying solely on AI for SEO research can result in:
Human expertise is essential to interpret AI-generated insights and make informed decisions. AI content generators typically lack access to live, real-time data. Tools rely on historical data and patterns to suggest keywords and optimization strategies. They can’t adapt to real-time shifts in search trends or user behavior. This limitation is a real liability that can result in wasted spend and effort. Too many tools can confuse, with over 70% of marketers recently feeling overwhelmed by AI changes. Factual accuracyAI-generated content cannot fact-check and verify information. Relying on it to do so can lead to misinformation, damaging your brand's reputation and credibility. Human oversight is crucial to ensure the content aligns with accurate and up-to-date information. AI-generated content often requires human editors to review, refine, fact-check and ensure it meets the desired quality standards. While AI can assist in creating drafts, it may struggle with nuances, tone and context. Human editors play a critical role in fine-tuning content, making it more coherent, engaging and aligned with the brand's voice. The risk of plagiarismAI can inadvertently produce content that resembles existing materials already on the web. Without proper oversight, there is a risk of unintentional plagiarism. To avoid this, content creators must conduct thorough checks to ensure their AI-generated content is original and unique. Perspective and subject matter expertiseWhile AI can be valuable for generating shorter content, such as product descriptions or social media posts, it may struggle with the complexity and depth required for long-form content like in-depth articles or research papers. Providing insightful analysis, coherent narratives and in-depth exploration of topics remains challenging for AI as it simply lacks the depth of knowledge and subject matter expertise that human writers and experts possess. It cannot fully understand intricate or niche topics, leading to shallow and inaccurate content. It doesn’t possess humans' creative and reasoning abilities, either. It can generate content based on patterns and data but may struggle with producing truly innovative or emotionally resonant content. Engaging storytelling, humor and emotional connections are often best crafted by human writers. Dig deeper: AI can’t write this: 10 ways to AI-proof your content for years to come Amplifying bias and stereotypingAI algorithms learn from historical data, which can contain biases. If not carefully monitored and trained, AI content generators can perpetuate biases, stereotypes or discriminatory language, harming your brand's reputation. Trying to cut costs with AI can backfireFor these reasons, looking to AI as a cost-cutting opportunity can be risky. Leaning too heavily on technology can undermine quality, customer trust and employee morale, as AI lacks humans' creativity, adaptability and nuanced decision-making. It can lead to errors, impersonal interactions and a loss of competitive advantage in industries where human expertise and customer experience are paramount. A balanced approach that combines AI's efficiency with human oversight and creativity is key to sustainable cost management while maintaining quality and customer satisfaction. Keep human content creators and editors in your content creation process. These professionals can ensure that your content aligns with your brand's unique voice and maintains a consistent tone throughout, retaining the desired brand identity and aligning messaging with your business goals. Dig deeper: SEO scalability: We have a problem Finding machine balance in 2024: Humans in the loopA harmonious balance between humans and machines is key to a successful content strategy. While AI technologies offer incredible efficiencies and opportunities, it's crucial to understand where humans and machines can complement each other effectively. Check out these intersections between humans and AI throughout the content creation process and how we can work better together. 1. Editorial process balanceIn crafting compelling content, humans and machines can find their equilibrium at various points in the editorial process. AI can be invaluable for initial research, data analysis and even generating first drafts. However, the human must drive, especially during the later editing stages, where context, style and authenticity are refined. 2. Iteration and collaborationImprovement is a continuous process. Collaboration between humans and AI is crucial for optimizing content output. Humans can provide valuable feedback to AI systems, guiding them better to understand nuances, preferences and evolving trends. In return, AI can assist humans by automating repetitive tasks and offering data-driven insights that inform content decisions. 3. Search experiences begin and end with humansIn SEO, it's essential to remember that search engines ultimately serve humans. Content optimization must begin with an understanding of human intent and user behavior. Once the content is optimized, humans will engage with it, so a human-centric approach ensures that the content:
4. Local and cultural relevanceContent must often cater to diverse audiences across regions and cultures. AI translation tools can aid in content localization for businesses targeting global audiences. However, human translators and cultural experts must ensure the content is accurately translated, culturally relevant and sensitive. With their cultural awareness and contextual understanding, humans can tailor content to resonate with specific demographics and audiences in each location. Dig deeper: The best AI tools for global SEO expansion 5. Creative ideation and strategyAI is a great assist in generating content ideas based on data analysis, but from there, it's human creativity that sparks innovative content concepts and strategic direction. Humans bring the ability to think outside the box, connect disparate ideas and envision unique content angles that resonate with audiences. 6. Personalization and user segmentationAI can analyze vast amounts of data to segment audiences effectively. However, humans play a critical role in interpreting these segments and tailoring content to meet each audience group's needs and preferences. Human insights help create personalized content that resonates on a personal level. 7. Content distribution and optimizationWhile AI can automate content distribution across various channels and optimize posting schedules, humans provide strategic oversight to ensure content aligns with the broader marketing goals. They can also respond to real-time engagement on social media or other platforms, adapting the content strategy as needed. 8. Content strategy growth and maturationDeveloping a content strategy should be ongoing. Humans can:
AI can assist by providing data-driven recommendations, but human strategists ensure the strategy aligns with overarching business objectives. 9. Content repurposing and diversificationHumans can provide the creative ideas and strategic direction needed when scaling content efforts or diversifying content formats. From there, AI is a great assistant in generating additional content efficiently, whether as blog posts, videos, infographics, or podcasts. 10. Content accessibility and inclusivityEnsuring that content is accessible to all audiences, including those with disabilities, is critical. Accessibility ensures that all individuals have equal access to digital content regardless of physical or cognitive abilities. Many countries have enacted laws and regulations that mandate digital accessibility, with non-compliance putting you at risk of legal consequences, fines, or lawsuits. While AI can help identify accessibility issues, humans are essential for implementing solutions and ensuring content meets accessibility standards. The future of content strategy lies in the synergy between AI, people and process. While AI streamlines processes, analyzes data and generates content efficiently, the human touch infuses content with creativity, authenticity and emotional resonance. In addition, it is essential that organizations find a balance between cost reduction and cost optimization. Reduction is often a short-term goal and limits content and creativity into silos. Optimization allows humans and machines to work together toward a common goal and reduces costs without compromising efficiency and results. Start with human intent, leverage AI for efficiency, and you'll end up with human-centric optimization inside a content strategy that can thrive in 2024 and beyond. The post AI-generated content in 2024: How to excel and where to exercise caution appeared first on Search Engine Land. via Search Engine Land https://ift.tt/XLKMo7B Most language language models (LLMs) can now proficiently interpret and translate text into images. As these models evolve to acquire knowledge directly from images, optimizing your assets becomes imperative. The surge in visual search tools – such as Google’s “Search by image” feature, Google Lens, and more – has shifted visual optimization from a mere recommendation into an essential requirement. It now plays a pivotal role in influencing search engine results and ensuring a smooth and engaging user experience. Amid this visual shift, future-proofing your digital assets becomes crucial for improving user engagement and influencing diverse SERPs. This article explores the critical need for a well-prepared strategy to maximize the benefits of visual search. It also outlines an action plan for safeguarding your digital assets in the future. How brands can optimize digital assetsSearch engines are becoming increasingly better at understanding context and intent. As a result, your visibility on the SERPs ties directly into how well-optimized your digital assets are for your target audience. Google uses various tools and benchmarks to determine what makes a great digital asset, many of which are driven by sophisticated AI models. Here’s what your business needs to pay attention to when optimizing visual assets. RelevanceGoogle extracts information about the subject matter of the image from the page’s content, including captions and image titles. Wherever possible, make sure images are placed near relevant text and on pages that are relevant to the image subject matter. Adding relevant alt-text to describe the image can also improve optimization. SafeSearchEnsuring that your images are not flagged as unsafe for certain audiences allows them to appear across search and improves the overall visibility of your assets. Determine if your images are safe for public consumption before adding them to your website. Image qualityEven though Google favors high-quality images, the latter can impact the performance of your webpages, specifically page speed. Strike a balance between quality (resolution and size) and page performance to deliver a fast, high-quality on-page experience. Entity identificationThe suite of AI models that Google uses to determine the relevance of an asset looks for unique entities that provide context to images. Following entity identification, Google can match an image to a relevant query/search. Structured data/schema is the key ingredient to drive entity optimization of your images. A 3-step visual optimization strategy for enterprises and multi-location businessesStep 1: Centralize your assetsAsset consistency across various channels and devices (e.g., mobile, desktop, tablet) is fundamental to quality user experience. By organizing your assets in a centrally accessible manner, such as a digital asset manager (DAM) platform, you can bring about ease of maintenance for assets used across your locations and channels. This allows you to:
Step 2: Optimize assets for all channelsOnce your assets have been centralized, it’s time to ensure they are optimized for your website as well as search. To optimize assets effectively, start with clear, concise filenames under 50 characters, avoiding special characters. Specifically for images:
Step 3: Convert assets into entitiesAssets have transformed from static website files to dynamic entities with their own authority and ranking signals. This shift is evident in tools like Google Lens, where Google analyzes images to offer search results aligned with the user's intent. Google also tailors image results based on specific queries, providing different sets of images from the same business to match user intent, as seen when searching for terms like “holiday getaways,” “beach vacation,” or “kids resort.” Looking at the trajectory of search and the data required to perform these tasks, entity optimization is poised to take center stage, which means you must treat every asset on your website as an entity. Start by performing an entity audit across your website, allowing you to identify entity gaps and improve your knowledge graph. For an image to be understood as a unique entity, it cannot have duplicates. Centralization of assets allows you to use a single optimized image across your locations and channels. Add structured data to your assets to help define each entity and provide deeper context. Complete optimization by adding alt tags and metadata, then ensure each file name is relevant to that asset and that the asset is relevant to the content on the page. Dig deeper: Advanced image SEO: A secret manual Optimizing for visual search: A case studyWhenever you deploy strategies that improve the user experience, the impact on performance is overwhelmingly positive. A great experience will almost always translate to better visibility, more users and better engagement. Nantasket Beach Resort, a resort on the South Shore of Boston, was seeking to enhance the discoverability and visibility of its digital assets. The challenges we had to overcome were that the business had multiple duplicate images, images weren’t optimized for search across devices, and their image management and governance had to improve overall. We employed a three-step strategy to drive the visibility of their images on search.
The impact of the visual search optimization of assets was significant, and the business saw:
A 3-step strategy for visual asset optimization and improved search visibilityThe journey toward a more visual and interactive digital experience is just beginning. With continuous advancements in AI and machine learning, the capabilities of visual search tools are bound to expand. By optimizing images in conjunction with textual content, employing advanced SEO techniques, and adapting to evolving visual search trends, you can significantly improve your brand’s online visibility, user engagement, and overall digital footprint. The foreseeable future holds promise for those ready to adapt, optimize, and evolve in stride with the advancements shaping the digital search landscape. The post Visual optimization must-haves for AI-powered search appeared first on Search Engine Land. via Search Engine Land https://ift.tt/9t3sbH4 In the fast-paced age of readily available information, staying on top of your game is crucial. And, if your game is SEO, there are many ways to stay on top of news, trends, tips and tricks to keep you sharp and informed. From free, visual-driven guides and videos on YouTube and other training-specific platforms like Google Skillshop, all the way down to tried-and-true case studies, trial-and-errors, and walk-throughs of what works in the real world (and what doesn’t), abundant free knowledge shapes our industry. It also keeps top brands at the forefront of the digital ecosystem. Here are my nine top ways to stay on top of news, changes, and transformative ideas that will keep your SEO sharp and your knowledge at its best throughout your career. 1. Read SEO publications and blogsIt seems obvious and is probably the most common (you’re clearly reading one right now), but its value may be unparalleled. Using the same platforms we research and troubleshoot every day – search engines – we can quickly find articles on diverse topics, aiding our understanding of complex concepts and new ideas. And we can do this anytime from anywhere with an internet connection. We can also subscribe to newsletters by many of these publications, so the news literally comes to us. In addition to Search Engine Land, other publications worth your time include Search Engine Roundtable and brand-backed blogs, such as Semrush, Ahrefs and Moz. One of the highest-regarded online sources for details pertaining to Google Search is the Google Search Central Blog (formerly the Google Webmaster Central Blog). Subscribing to blogs and using Feedly or similar curation feeds can help you easily access and organize your reading resources for daily updates. 2. Webinars and YouTubeYou can pretty much learn anything on YouTube. The most popular video search engine in the world is a trove of potentially life-changing knowledge and guidance. This includes SEO and digital marketing knowledge and guidance. Whether it’s to learn about a specific, complex aspect of SEO or to delve into industry news or fresh tactics, YouTube offers a myriad of user-generated content that proves priceless to millions every day. Some of the most valuable videos on YouTube (at least concerning digital marketing and other specific areas of expertise) are pre-recorded webinars. These webinars are typically administered by brands and/or thought leaders in their respective niches and recorded when first broadcast, then published on YouTube for consumption by people on-demand. Use them to your advantage. 3. PodcastsThe growth of podcasts over the last decade has been incredible. What once seemed limited to obscure interviews on eclectic or controversial topics have evolved into educational content, spanning topics from peanut allergies to murder mysteries and everything in between, including SEO. Some solid SEO- and digital marketing-focused podcasts include: Do some research and find one or two that you get the most value (and entertainment) from, and stay in tune with news and trends when it’s convenient for you. 4. Follow thought leadersOne of the most powerful entries on this list, SEO thought leaders help shape the digital marketing industry and what we learn and strategize around constantly. Most of these folks are sharing their thoughts and reflections daily, too. You can see evidence of it anywhere on social media – X and LinkedIn are some of the most potent platforms for real-time SEO tips and tricks. There are so many high-octane players in the SEO community. Anyone not following at least a handful of these thought leaders is simply doing themselves a disservice. Some of my favorite people who focus on SEO daily are: Official Googlers tend to be helpful follows as well: These thought leaders can keep you updated and inspire you to do revolutionary things. You can usually follow them in more places than just X. Many will become industry friends if you engage with them online and whenever you see them at conferences, too. 5. Online groups and communitiesOnline forums and communities were once the lifeblood of SEO communication and troubleshooting – and they still have big impacts today. Classic spaces like WebmasterWorld still drive discussion and engagement, as well as sites like Webmasters Stack Exchange, the SEO Forum, and the longstanding Moz community. The emergence of social media and other industry communication platforms has crowded the slate of troubleshooting forums, but you can still find nearly any answer you need either way. 6. ConferencesConferences offer a unique chance to listen, learn, and, if you're interested, speak or present. Typically a multiple-day affair with many of SEO’s (and other marketing channels’) most popular and insightful subject matter experts, these opportunities aren’t free, but their value is priceless. You can most definitely find a reputable one relatively close to where you live and work or attend a conference remotely (and usually at a reduced rate) depending on each conference’s options for attending and price point. Some of the best conferences are:
Conferences are investments your company should always get behind. They're great for networking with top professionals, and they provide an authentic way to meet your online SEO connections in person. 7. Use SEO toolsTools help us learn to be faster and more efficient, but they also shape the SEO industry. Most digital marketing SaaS tools are valuable for:
Their content teams also consistently produce rock-solid content for us to use to our advantage. 8. Use search and its featuresWe can use all the tools available and read hundreds of articles a week, but if we aren’t working in search in real-time, our knowledge will always remain limited. We need to use all the tools and tricks to make our job easy, but using, testing, and exploring Google Search and all other relevant search engines will forever remain critical. Google is always testing new things (so don’t fall in love with any changes you notice), but there’s only one way to know what you think is the best search experience. Test, experiment, hypothesize – then test some more. 9. Do work!There’s really only one way to become a good SEO. And that’s being an SEO. Part of being an SEO is keeping up with news, trends, and innovations. Learning and growing in the trenches is the most effective and only true way to earn your stripes. The changes I have seen up to this point over 13 years have been incredible and, at times, even daunting. And it’s all just beginning. Do the work. Stay in the know. And enjoy the ride. The post 9 ways to stay on top of the latest SEO trends appeared first on Search Engine Land. via Search Engine Land https://ift.tt/51DGKzY Pinterest’s third-quarter revenue jumped 11% to $763 million in Q3, 2023. Ad earnings surged as the platform’s global monthly active users increased by 8% year-on-year to 482 million. The company credited its success in part to
Why we care. Advertisers interested in diversifying their ad spend may want to consider Pinterest as a potential investment, given its better-than-expected performance for advertisers. Its significant increase in global monthly active users also suggests the platform has a lot to offer advertisers in terms of reach. Exceeding expectations. Pinterest had been projected by Wall Street analysts to reach 473 million global monthly active users, but the platform surpassed expectations by 9 million. Moreover, Pinterest outperformed projections for average revenue per user, achieving $1.61 compared to the anticipated $1.59. Looking ahead: As the holiday season approaches, Pinterest has said that it is expecting growth of 11-13% in the final quarter of 2023. The company is also forecasting GAAP operating expenses to fall to 9-13% year-on-year. What Pinterest is saying. Bill Ready, CEO of Pinterest, said:
Earnings report. You can read Pinterest’s full third quarter 2023 results report for more information. The post Pinterest revenue rises 11%, delivering better than expected results for advertisers appeared first on Search Engine Land. via Search Engine Land https://ift.tt/MARcVNK Google Bard, the conversational AI tool by Google, can now respond to your questions in real-time. You can turn it off and tell Bard to only respond once the answer is complete, but now, by default, Bard writes out the response in real time. Default on. By default, Google has turned on real-time responses, so you can see Bard typing the answer as it figures out the response. Google said this way, “you don’t have to wait for the full response to appear.” Google added, “Bard is here to accelerate your creative process. Now you can start reading responses while they’re still generating, so you can stay in the creative flow and iterate on your ideas faster.” The setting. You can access the setting for real-time or non-real-time responses in the setting section at the top right, under the gear icon. Here is a screenshot of this feature: Why we care. Now Bard will appear faster in how it replies to your tasks and questions. Plus if you see Bard is not answering the question in the direction you want it to go, you can stop and start a new session faster than you previously would. Note, this is how Bing Chat and other chat-based AI tools generally work, so now Bard does the same. The post Google Bard can now respond in real time appeared first on Search Engine Land. via Search Engine Land https://ift.tt/26SNuIJ |
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