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

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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.

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💬 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