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🤖 How Indeed Uses Machine Learning to Power Programmatic SEO at Scale with Chris Reynolds

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Manage episode 513371748 series 2621139
Content provided by Jon Clark and Joe DeVita. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Clark and Joe DeVita or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

Follow Jon Clark

  continue reading

97 episodes

Artwork
iconShare
 
Manage episode 513371748 series 2621139
Content provided by Jon Clark and Joe DeVita. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Clark and Joe DeVita or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

Follow Jon Clark

  continue reading

97 episodes

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