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LLM Rankings Explained: How ChatGPT & Perplexity Surface Content in 2025 with Metehan Yesilyurt

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Manage episode 515922658 series 2621139
Inhalt bereitgestellt von Jon Clark and Joe DeVita. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Jon Clark and Joe DeVita oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

https://page2pod.com - In this episode, Jon Clark and Joe DeVita engage with Metehan Yesilyurt to explore the evolving landscape of SEO in the age of AI. They discuss the transition from traditional SEO metrics to new paradigms influenced by AI technologies, including the concept of Rank Fusion and the importance of brand visibility.

The conversation delves into practical strategies for optimizing content for AI search engines, the role of platforms like YouTube, and the future of e-commerce with AI integration. The episode concludes with predictions for the dominance of AI search engines by 2027.

Metehan dives deep into the seismic shifts in how search engines are evolving, including how visibility works in Large Language Models, the mechanics of Reciprocal Rank Fusion (RRF), and why the classic SEO metric of “rank” is rapidly becoming outdated.

From prompt analysis and AI-driven content strategy to platform-specific publishing cadences and the surprising power of YouTube in LLMs, this episode is a must-listen for digital marketers and SEOs who want to stay ahead of the curve.

💡 In This Episode (🧠):
• Why Metehan left traditional SEO for AI-driven discovery
• The founding story and mission behind AEO Vision
• How LLMs like ChatGPT and Perplexity “rank” content differently
• What Reciprocal Rank Fusion (RRF) is and how it impacts visibility
• Why brand mentions matter more than backlinks in AI search
• The role of schema, structured content, and semantic chunking
• Why you shouldn’t optimize solely for LLMs (and how it hurts SEO)
• How YouTube is a powerful but underrated channel for AI visibility
• Prompt analysis: what real user questions reveal about content strategy
• Predictions on who will dominate AI search by 2027

If you're looking to understand the next wave of search and how to optimize for it, this episode will arm you with the knowledge you need.

🔔 Subscribe to stay ahead in SEO, AI, and digital marketing trends every week!

💬 What are you doing to optimize for AI and LLM search? Drop your thoughts in the comments below!

🔗 Mentioned in the Episode:
• Follow Metehan on LinkedIn: https://www.linkedin.com/in/metehanyesilyurt/
• AEO Vision: https://aeovision.ai
• AI Share Buttons: https://metehan.ai/blog/citemet-ai-share-buttons-growth-hack-for-llms/
Reciprocal Rank Fusion (RRF)
👉 https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf
👉 https://metehan.ai/blog/chatgpt-is-using-reciprocal-rank-fusion-rrf/

Sponsored by Moving Traffic Media

Follow the Page 2 Podcast

Follow Jon Clark

  continue reading

99 Episoden

Artwork
iconTeilen
 
Manage episode 515922658 series 2621139
Inhalt bereitgestellt von Jon Clark and Joe DeVita. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Jon Clark and Joe DeVita oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

https://page2pod.com - In this episode, Jon Clark and Joe DeVita engage with Metehan Yesilyurt to explore the evolving landscape of SEO in the age of AI. They discuss the transition from traditional SEO metrics to new paradigms influenced by AI technologies, including the concept of Rank Fusion and the importance of brand visibility.

The conversation delves into practical strategies for optimizing content for AI search engines, the role of platforms like YouTube, and the future of e-commerce with AI integration. The episode concludes with predictions for the dominance of AI search engines by 2027.

Metehan dives deep into the seismic shifts in how search engines are evolving, including how visibility works in Large Language Models, the mechanics of Reciprocal Rank Fusion (RRF), and why the classic SEO metric of “rank” is rapidly becoming outdated.

From prompt analysis and AI-driven content strategy to platform-specific publishing cadences and the surprising power of YouTube in LLMs, this episode is a must-listen for digital marketers and SEOs who want to stay ahead of the curve.

💡 In This Episode (🧠):
• Why Metehan left traditional SEO for AI-driven discovery
• The founding story and mission behind AEO Vision
• How LLMs like ChatGPT and Perplexity “rank” content differently
• What Reciprocal Rank Fusion (RRF) is and how it impacts visibility
• Why brand mentions matter more than backlinks in AI search
• The role of schema, structured content, and semantic chunking
• Why you shouldn’t optimize solely for LLMs (and how it hurts SEO)
• How YouTube is a powerful but underrated channel for AI visibility
• Prompt analysis: what real user questions reveal about content strategy
• Predictions on who will dominate AI search by 2027

If you're looking to understand the next wave of search and how to optimize for it, this episode will arm you with the knowledge you need.

🔔 Subscribe to stay ahead in SEO, AI, and digital marketing trends every week!

💬 What are you doing to optimize for AI and LLM search? Drop your thoughts in the comments below!

🔗 Mentioned in the Episode:
• Follow Metehan on LinkedIn: https://www.linkedin.com/in/metehanyesilyurt/
• AEO Vision: https://aeovision.ai
• AI Share Buttons: https://metehan.ai/blog/citemet-ai-share-buttons-growth-hack-for-llms/
Reciprocal Rank Fusion (RRF)
👉 https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf
👉 https://metehan.ai/blog/chatgpt-is-using-reciprocal-rank-fusion-rrf/

Sponsored by Moving Traffic Media

Follow the Page 2 Podcast

Follow Jon Clark

  continue reading

99 Episoden

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