Structured Data, Entities & Semantic Search

Help search systems understand meaning through schema, entities, knowledge graphs, semantic relationships, and vector embeddings.

19 episodes

38:45
Podcast & Interview
38:45
Adapting SEO for Generative AI: Creating Content That Serves AI-Powered Search Experiences

SEO Manager Rejoice Ojiaku explains how to optimize content for AI-powered search engines while preserving brand voice.

Podcast & Interview
24:18
Entity SEO Explained (With Tactics You Can Actually Use)

Sara Taher breaks down entity SEO fundamentals and shows how to research and incorporate entities into content strategy for better topical authority.

Webinar & Conference Session
1:57:37
AI. CTR. Chaos. What the Smartest SEOs Are Doing Differently in 2025

Four SEO experts reveal how link building, topical authority, AI overviews, and user behavior are reshaping SEO strategy in 2025.

Webinar & Conference Session
26:29
The SEO Agency Rollercoaster with Ryan Shelley of SMA Marketing

Ryan Shelley shares how he scaled SMA Marketing from a side hustle to a specialized SEO agency rooted in faith-driven values and technical expertise.

Podcast & Interview
46:32
E-E-A-T for Auto Dealers. Most Auto Sites Don’t Rank. This Is Why

How E-E-A-T signals help auto dealership sites rank higher and build customer trust with Google.

Webinar & Conference Session
35:26
Relevance engineering & Reddit wins: How AI Mode is rewriting SEO

Erin Sparks explains relevance engineering and AI mode's impact on SEO, emphasizing Reddit engagement and user experience over technical tweaks.

Webinar & Conference Session
33:38
How to show up in AI answers (not just Google links)

Will Scott explains how to optimize content for AI search engines using entities, semantic relevance, and structured data instead of traditional keywords and links.

Webinar & Conference Session
37:09
AI-ready schema: Feeding Google’s answer engines with structured data

Alex Moss explains how schema and structured data must evolve for AI-driven search engines and LLMs.

Podcast & Interview
1:43
LLMs.txt: Hype vs. Reality

LLMs.txt adoption data reveals it doesn't boost visibility—focus on robots.txt instead.

Research & Experiment
39:48
Multi-platform search is here: Building brand visibility across Google, TikTok, and answer engines

Jessica Redman unpacks playbooks for earning visibility across Google, TikTok, and AI answer engines through trust-based brand strategy.

Podcast & Interview
1:42
Structured Data & AI Visibility: Does It Actually Help?

Structured data helps AI find your content, but clear content structure matters more than schema markup.

Research & Experiment
15:56
Keywords Aren’t Enough. Start Using Vectors to Rank on Google and Other AI Engines

Move beyond keyword matching: learn how vector embeddings power modern search and optimize for semantic meaning with real demos.

Academy Lesson
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