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Will Google's Reactive Behavior to Search Quality & AI Solve Their Problems?

• Google is struggling to adapt to the changing market dynamics, including the rise of AI, TikTok, and criticism of declining search result quality.
• Google's efforts to retain younger users by modifying its search results to include more engaging content like social media, short videos, and images.
• Google's algorithmic updates are aimed at improving search result relevance and combating the issue of low-quality AI-generated content.

 LSA Ad Efficiency and Google's Transition to a UX That is AI Driven: 

• Local service ads (LSAs) are outperforming traditional search results and organic traffic due to their higher efficiency in attracting clicks.
• The success of LSAs is due to their visual & emotional appeal, trust badges, and display of relevant information like star ratings, years in business, and the Google guarantee.
• Google is transitioning towards a new approach where search results will be tailored to users' emotional responses, leading to increased click-through rates on ads.

Google’s  Incredible Notebook LM IS the Future of AI For the Rest of Us:

• Notebook LM is Google's most notable AI development this year, allowing users to create customized datasets and effectively build their own large language models.
• The accessibility of Notebook LM, makes this technology suitable even for non-technical users.
• Notebook LM has the potential to revolutionize various industries by empowering individuals to develop personalized AI tools and generate high-quality content with ease.

The Near Memo is a weekly conversation about Search, Social, and Commerce: What happened, why it matters, and the implications for local businesses and national brands.
Near Memo Ep 138

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