Search News You Can Use - SEO Podcast with Marie Haynes
Search News You Can Use - SEO Podcast with Marie Haynes

Search News You Can Use - SEO Podcast with Marie Haynes

Marie Haynes

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Episodes

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Search News You Can Use is Marie Haynes' Weekly Podcast where she provides useful advice on Google Algorithm updates, tips and information to help you improve your website. During the podcast she breaks down the most interesting and important changes that have happened in SEO and the world of search!

Recent Episodes

AI protocols that marketers need to know about - with Liz Micik & Marie Haynes
MAR 24, 2026
AI protocols that marketers need to know about - with Liz Micik & Marie Haynes
In this episode of the "Real People Using AI" series, host Marie Haynes sits down with SEO content strategist and AI transition consultant Liz Micik to discuss the massive shift from a chat-based internet to the "Agentic Web." They break down Google's latest developer protocols—including MCP, A2A, UCP, and AP2—and translate what these highly technical concepts mean for everyday business owners and marketers. If you are wondering how AI agents will discover, consume, and negotiate with your website in the future, and what actionable steps you can take right now to prepare your brand (like cleaning up your schema and structured data), this conversation is your roadmap.Google’s blog posts on the agentic protocols:https://developers.googleblog.com/developers-guide-to-ai-agent-protocols/Reach Liz Micik:https://lizmicik.com/Reach Marie:https://mariehaynes.com/contactThe Search Bar:https://mariehaynes/comBecome a member of Marie’s paid community:https://community.mariehaynes.com/collections/10503740:00 – Welcome to the Agentic Web: Moving beyond chat interfaces and GEO (Generative Engine Optimization) to prepare for AI agents.2:16 – The Evolution of the Web: Why the current shift mirrors the early days of e-commerce and how bots are consuming websites (discussing Cloudflare's markdown feature).11:00 – The 3 C's of AI Readiness: Why your website must be clear, complete, and consistent for AI agents to trust it.13:50 – What is MCP & WebMCP?: Exploring the Model Context Protocol and how AI applications connect to external systems and tools.25:20 – Agent to Agent Protocol (A2A): How agents discover and communicate with one another using JSON Agent Cards.27:50 – Universal Commerce Protocol (UCP): The future of AI shopping, building carts across multiple sites, and protecting your business's "moat."38:00 – Agent Payments (AP2) & MPP: How agents will handle transactions, negotiate payments, and the security hurdles of an agentic economy.46:15 – Actionable Advice for Businesses Today: Why Schema and Structured Data are the most important tools you can implement right now.52:00 – Agent to User Interface (A2UI): The potential for AI to generate unique web pages, UIs, and interactive tabs on the fly.56:50 – Summary & Rapid Fire Questions: A quick recap of all the protocols, plus Liz's advice on learning AI, financial planning with Claude, and the importance of reading analog books to kids.
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62 MIN
How AI "Re-Ranks" Google's Search Results (And How to Win)
JAN 23, 2026
How AI "Re-Ranks" Google's Search Results (And How to Win)
Did you know Google "re-ranks" search results using AI that is trained on user data and quality rater scores? In this video, I break down revelations from the DOJ trial, including the "Glue" system, RankEmbed BERT, and why user satisfaction is now the most critical factor for SEO. 00:00 - Intro: Why user satisfaction is the most important ranking factor. 00:49 - Google’s Quality Raters Guidelines & Helpful Content documentation. 01:36 - Marie’s Theory: Traditional algorithms vs. AI re-ranking systems. 02:35 - Why Google says "Don’t chunk your content" (Danny Sullivan). 03:00 - Vector Search & Embeddings: How AI retrieval actually works. 05:40 - The DOJ vs. Google Trial: Leaks on user-side data. 07:44 - The "Glue" System (NavBoost): How Google tracks clicks & hovers. 09:03 - "Instant Glue": How search adapts to new intent (Nice vs. nice). 10:20 - RankEmbed BERT: The deep learning model Google hid. 12:21 - How AI re-ranks the top search results. 13:03 - BERT Training: Wikipedia, Books Corpus... and romance novels? 15:18 - The 3 Deep Learning Models: RankBrain, DeepRank, RankEmbed. 17:40 - RankBrain: Why it only re-ranks the top 20-30 results. 18:47 - The Helpful Content System: A machine learning classifier. 21:18 - March 2024 Core Update: The evolution of helpfulness signals. 23:00 - Frozen vs. Retrained Google: How algorithms are tested. 26:01 - Why Google runs 17,000+ live traffic experiments. 27:16 - Does Google use Chrome data for rankings? (DOJ evidence). 28:32 - The "AI Mountain": Why AI-generated traffic often crashes. 29:30 - How to optimize for user satisfaction (beyond keywords). 31:00 - Liz Reid on AI Overviews: Why users click for depth.
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41 MIN