https://page2pod.com - In this episode of the Page 2 Podcast, we sit down with Darren Shaw, founder of Whitespark, to explore how AI is transforming local search and what it means for businesses trying to rank in Google.

Darren shares insights from over 20 years in local SEO, including how traditional ranking signals like reviews, citations, and proximity are being reinterpreted by AI-powered systems. We dive deep into review strategies, semantic SEO, citation optimization, and how tools like AI-driven maps and Ask Maps are reshaping visibility.

If you're a local business owner, marketer, or SEO professional, this episode is packed with actionable strategies to help you stay ahead in an AI-first search landscape.

🚀 In This Episode
• 🧠 How AI is rewriting traditional local SEO ranking signals
• ⭐ Why review recency and consistency matter more than ever
• 📍 The hidden risks of removing your Google Business Profile address
• 🔍 How AI uses reviews as training data for search results
• 🧾 The power of citation optimization and semantic triples
• 📊 What “review diversification” means and why it’s critical
• 🤖 How Ask Maps and AI interfaces are shaping local discovery
• 📸 Using images and content strategically for AI visibility
• 🧩 Why niche specialization can outperform larger competitors
• 🛠️ The evolving role of SEO tools in an AI-driven future

This episode breaks down the future of local SEO and gives you a practical roadmap to adapt your strategy for AI-powered search.

🛠️ Tools & Resources Mentioned
• Darren Shaw on LinkedIn → https://www.linkedin.com/in/darrenshawwhitespark/
• Whitespark Local SEO Tools → https://whitespark.ca/
• Whitespark Reputation Builder → https://whitespark.ca/reputation-builder/
• Local Ranking Grid Software → https://whitespark.ca/local-rank-tracker/
• 2026 Local Ranking Factors → https://whitespark.ca/local-search-ranking-factors/

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💬 What’s YOUR biggest challenge with AI and local SEO right now? Drop a comment below—we’d love to hear your thoughts!

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