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Marketing School - Digital Marketing and Online Marketing Tips
How SEO performs against LLM (Large Language Models)
Dec 6, 2024
Dive into the intricate dance between SEO and LLM optimization. Discover how ranking on Google and perplexity metrics are intertwined, and learn about the evolving landscape of search engines, including Google, Bing, and ChatGPT. The podcast also sheds light on business strategy, emphasizing the need for leaders to prioritize financial success over emotional responses during decision-making. Tune in for insights on the future of AI's role in search and the implications for marketers.
05:46
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Quick takeaways
- The podcast highlights that 72% of perplexity results are aligned with top Google rankings, emphasizing Google's dominance in LLM optimization.
- It illustrates how employee sentiments can shift drastically based on financial incentives, impacting business decisions and moral considerations.
Deep dives
Understanding LLM Optimization and SEO Results
The relationship between large language model (LLM) optimization and SEO results is explored, highlighting that a significant portion of perplexity results are derived from Google rankings. Approximately 72% of perplexity results align with the top Google organic rankings, indicating that better-ranking sites in Google tend to also achieve higher visibility in perplexity. In contrast, the overlap with other search engines like Bing is notably less, with only 32% of results showing similar connections. This suggests that Google plays a dominant role in shaping the visibility of information across different platforms using LLMs.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode