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The SEO Podcast: Page 2 Podcast Hosted by Jon Clark & Joe DeVita

The SEO Podcast: Page 2 Podcast Hosted by Jon Clark & Joe DeVita

Auteur(s): Jon Clark Joe DeVita
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Hosted by Jon Clark, this is a podcast about the people of SEO, their stories, and what life as an SEO is really like. Featuring some of the industry's best and brightest minds, we share our experiences (both good and bad), talk about successes and failures, share strategic and tactical knowledge, and much more.2018 - 2025 The Page 2 Podcast Gestion et leadership Marketing Marketing et ventes Réussite personnelle Économie
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  • LLM Rankings Explained: How ChatGPT & Perplexity Surface Content in 2025 with Metehan Yesilyurt
    Oct 27 2025

    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Models, the mechanics of Reciprocal Rank Fusion (RRF), and why the classic SEO metric of “rank” is rapidly becoming outdated.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

    • Page 2 Podcast on Youtube
    • Page 2 Podcast on Linkedin
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    • Jon Clark on Bluesky
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    53 min
  • Inside Razorfish’s AI Search Strategy 🧠 | Amos Ductan on Merging SEO, Paid Search & Answer Engines
    Oct 20 2025

    https://page2pod.com - What happens when search engines evolve into answer engines and AI determines what your audience sees? In this episode, Jon Clark and Joe DeVita talk with Amos Ductan, SVP of Search at Razorfish, about the radical shift from traditional search to AI-powered discovery platforms like ChatGPT, Perplexity, and Google's AI mode.

    Amos dives into how Razorfish is merging SEO and paid media strategies, preparing for a future where prompts replace keywords, and "just showing up" in AI results becomes the new baseline for success. He also introduces the concept of "The Correction"—how AI search is recalibrating both consumer behavior and the KPIs marketers have relied on for decades.

    Whether you're leading an agency or managing digital campaigns, this conversation is packed with tactical insights on AI visibility, feed optimization, and how to future-proof your marketing strategy.

    🤖 In This Episode
    • What an "answer engine" is—and how it changes everything
    • Why AI-driven search reduces the number of clicks and reshapes attribution
    • How Razorfish is redefining paid + organic search teams
    • The concept of “The Correction” in AI search and marketing metrics
    • How to audit your brand's AI visibility and clean your product feeds
    • Strategies for preparing shopping feeds for AI commerce (e.g., Perplexity & ChatGPT)
    • Why traditional conversion metrics may be obsolete in an AI-first world
    • How "AI literacy" is becoming an essential skill for marketers
    • The tools and prompts Razorfish uses to track brand presence in AI models
    • Voice search: where it stands now and what’s coming next

    Unlock a clear understanding of where search marketing is headed—and how to stay ahead.

    👉 Subscribe to the Page 2 Podcast for more episodes on the future of marketing, AI, and digital strategy.
    💬 Comment below: How is your brand adapting to the rise of answer engines?

    📚 Mentioned Resources & Tools
    • Amos Ductan on Linkedin (https://www.linkedin.com/in/amos-ductan-b516bb6/)
    • The AI Search Playbook Webinar (https://events.publicisgroupe.com/razorfish-ai-search-playbook/rzfli)
    • The New Era of AI Powered Search (https://www.razorfish.com/articles/perspectives/the-new-era-of-ai-powered-search/)
    • How Agentic AI Will Reshape Search (https://www.razorfish.com/articles/perspectives/how-agentic-ai-will-reshape-search/)

    Sponsored by Moving Traffic Media

    Follow the Page 2 Podcast

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    55 min
  • 🤖 How Indeed Uses Machine Learning to Power Programmatic SEO at Scale with Chris Reynolds
    Oct 13 2025

    https://page2pod.com - In this powerhouse episode of the Page 2 Podcast, we sit down with Chris Reynolds, SEO Director at Indeed and former SEO leader at eBay, to unpack how massive enterprise websites manage SEO at scale.

    Chris dives into:
    • Leveraging machine learning for indexability decisions
    • The trade-offs between internal linking and XML sitemaps
    • How Google’s indexing API and Google for Jobs are changing the SEO game
    • What happens when LLMs become your discovery layer, not just search engines
    • The challenges of handling billions of URLs, bad listings, and scam job content
    • How prompt data and LLM visibility tools are shaping modern SEO tactics
    • The future of SEO in a world led by AI agents and semantic search

    Whether you’re an SEO veteran or trying to wrap your head around algorithmic indexing decisions at the highest scale, this episode is a masterclass in modern SEO strategy.

    🔍 In This Episode:
    • 🧠 How machine learning drives SEO strategy at Indeed
    • 🏗️ Differences and similarities between SEO for eBay and Indeed
    • 🔄 Indexing decisions based on user behavior and job quality
    • 📈 Scaling SEO with crawl budget and internal linking strategies
    • 🤖 The emerging SEO impact of LLMs and AI assistants
    • 📊 Using log files and synthetic prompts to track LLM citations
    • 🗺️ Navigating dual audiences: job seekers vs employers
    • 🔗 The real influence of brand and PR in SEO success
    • 💬 How FAQs and structured content affect visibility in LLMs

    Chris reveals how a search experience led by AI and user intent is rewriting the rules of SEO. If you're in SEO, content strategy, or digital growth, this episode is a must-listen.

    Subscribe for more expert SEO insights every week!

    💬 What’s your take on SEO’s future with LLMs like ChatGPT and AI overviews? Drop your thoughts below!

    🔗 Useful Resources & Links from the Episode
    • Chris Reynolds on Linkedin
    • Chris' personal website Q for Query
    • Indeed Hiring Lab Data Portal

    Sponsored by Moving Traffic Media

    Follow the Page 2 Podcast

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    1 h et 4 min
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