Jim Yu’s Post

5 stats on how we saw CTRs impacted across our client base as a result of AI overviews on Google search. This is the one I'm keeping an eye on. What is Google's tolerance for lost paid clicks vs "better" answers. https://lnkd.in/eRyMJHPU

I think we are all about to become more conscious of information sources. Scott Rosenberg gives a great description of how generative AI systems easily pollute the internet with misinformation or less-accurate information. Many humans also have the same effect. Journalists and bloggers often bury the lede by surrounding a small useful fact with noise and nonsense. Many tech educators do similarly. We need to pay attention to how these generative systems can actually help. We should discourage the bad human journalist habit of burying-the-lede by using an AI to summarize the answer to a headline. It would be interesting to compare conciseness of different news sources this way. https://lnkd.in/gsm9NZp4

The Future of Search: Will AI Replace Google? Discover why Google's reign as the top search engine may be ending. Explore the rise of AI-driven alternatives like Gemini and SearchGPT, and how they are changing the way we search online. #AIRevolution #FutureOfSearch #GoogleVsAI #SearchEngineTrends #TechInnovation #DigitalTransformation #SearchGPT #Gemini #TechPredictions #AIInSearch

Google's John Mueller says clicks/impressions from AI Overview results won't be differentiated in GSC reports. "It's like with featured snippets, they're shown as a search result." KlientBoost is listed as "position 1" for this query with both the featured snippet and the only AIO citation, but there's no additional info about result types in GSC. Not great news for SEOs trying to explain huge differences in CTR for "position 1" queries!

Google, AI and its search struggles Google unveiled its new AI search feature, AI Overview, designed to answer complex questions by combining statements from language models with live web links. However, the feature has faced backlash for generating erroneous and dangerous advice, such as recommending glue for pizza sauce and rocks for nutrients. These errors have undermined trust in Google Search, which serves over two billion users. Despite previous issues with AI implementations like Bard, Google continues to push AI integration to compete with rivals Microsoft and OpenAI. Google claims most AI Overview queries yield high-quality results and will use problematic examples to refine the system. Hope you saw these viral search snippets! What do you think? #LaxmiTechBytes

🤖 Google's Bold Approach to AI in Search 🔍 Ever faced a daunting challenge and thought, "Should I take this risk?" 🤔 Google's mindset on AI integration is a powerful example of how embracing risks can drive incredible innovation! At a recent event, Google's Liz Reid shared an inspiring perspective: "We won't hold back AI features just because there might be occasional hiccups." 📢 This bold stance shows Google's commitment to pushing boundaries, learning from mistakes quickly, and constantly improving their AI capabilities. 💫 It's a reminder that true progress often involves overcoming bumps in the road. So when you face your next hurdle, remember: take calculated risks, learn from setbacks, and keep evolving! 🚀 Have you embraced a risk that paid off? Share your story of progress through challenges! 💬 #AIInnovation #TechProgress #GoogleAI #SearchAI #AIRisks #InnovationMindset #AISearch #RaysDigital Read the full article: [Search Engine Land](https://buff.ly/3XpedLh)

✋ Game changer alert! Ground it like Google. What if you would take the most TRUSTED SEARCH ENGINE in the world, Google, and be able to GROUND RESULTS from Gen AI with it? This week we announced a lot of new products and investments in AI and Generative AI during our NEXT conference in Vegas. But the SINGLE biggest if you ask me is this one. - We are now integrating Google search into Vertex AI (our end-to-end AI platform for businesses), giving users access to more recent data to ground the Gen AI results with. Why is this HUGE? The tendency for large language models to make up things or "hallucinate" is one of the major blockers for effective deployment of Gen AI. This is an enormous milestone in being able to sanity check your Gen AI results vs the most up-to-date and complete data sets we have at our hands on the planet. (...hey, organizing the world's information and sharing it back for over 25 years gotta give something right.. 😃) Last year was so much about the hype and the buzz, now it's all about getting Gen AI into production and into our daily operations, with results you feel safe with. Ground it like Google. #LLMs #GenAI #GroundingDATA #GoogleCloud #TheNewWayToCloud https://lnkd.in/dAJcH8T8

Google’s search results page now prioritizes AI-driven results. Google offers this as a convenience: our machine has read web pages so that you don’t have to. Mark this week in your analytics — it will be a profound cliff for website traffic and attention; many will never leave Google.com again. Good for Google — they win at scale again. But, in the end, convenience is an antithesis to choice. I wrote about what we can learn from unscalable, hand-crafted lists of links in the age of AI. https://lnkd.in/eZKv4N_Y

SEO is a changing. Stay up to date with our latest blog….. or don’t worry about the organic traffic drops headed your way. The choice is yours! #SEO #SmallBusinessMarketing #HudsonValleyBusiness

Now that the March core Google update has fully rolled out, here are 6 things you should do after a Google core update rollout completes https://buff.ly/3JMLo3b And in case you don't know, this core update targeted low quality, poor information pages INCLUDING pages that were created with AI so even though Google is pushing its own AI, it knows that AI-produced pages are garbage that are ruining search results