Episode Details

E926: Jake Hundley and David Quaid join the show to break down one of the most misunderstood topics in SEO: schema markup.

For years, marketers, agencies, and "AI SEO" tools have claimed that schema is required to rank in Google and now in large language models like ChatGPT, Perplexity, and Claude. We take those claims apart and explains, in practical terms, why most websites don't benefit from schema at all - and in some cases, can actually create risk by using it.

This is a grounded, technical discussion about how search engines and LLMs actually work, what data they really use, and why most schema advice is built on correlation, not causation.

What this covers - Whether schema markup is required to rank in Google - Whether schema helps you appear in ChatGPT, Perplexity, or other LLMs - How large language models actually retrieve web content - Why schema does not improve relevance, trust, or understanding for most sites - Why correlation studies from tools like Semrush are misleading - The difference between correlation and causation in SEO data - Why rich snippets do not prove schema improves rankings - What Google's schema guidelines actually say about reviews and FAQs - How misuse of review and FAQ schema can create risk - Why Google removed most FAQ and review rich results - When schema might make sense (flights, hotels, structured feeds) - Why SaaS sites, blogs, and local businesses don't need schema to rank - How search engines already extract structured data from normal HTML - Why tables, headings, and clean page structure matter more than schema - How LLM prompts differ from search queries - What "query fan-out" means for AI visibility - How to test whether schema affects rankings or AI mentions - Why SEO fundamentals still decide what ranks

Key ideas from the episode - Search engines rank pages first, then use schema only if they need to display a feature - You cannot use schema to make an irrelevant page rank - LLMs do not crawl and index the web the way Google does - LLMs usually receive raw HTML, not processed schema - Schema is easy to fake and therefore cannot be a trust signal - Most pages that rank with schema would rank without it - Most schema usage exists because developers or plugins add it automatically - Google already ignores most schema for rich results - Real ranking signals still come from relevance, authority, and structure

Who this episode is for - SEO practitioners who want data-driven clarity - Business owners tired of technical SEO upsells - Agencies selling or buying "AI optimization" - Anyone being told they need schema to rank

⭐️ David Quaid on 𝕏 - https://x.com/DavidGQuaid ⭐️ David Quaid on LinkedIn - https://www.linkedin.com/in/davidquaid/ ⭐️ David Quaid's agency - https://primaryposition.com/

⭐️ Jake's Agency Discord - https://discord.gg/uvHRRRFVRD ⭐️ Jake's Podcast - The Agency Growth Podcast: https://everbrospodcast.com/ ⭐️ r/agency Subreddit - https://www.reddit.com/r/agency/ ⭐️ Jake Hundley on Facebook - https://www.facebook.com/jake.hundley.1 ⭐️ Jake Hundley on LinkedIn - https://www.linkedin.com/in/jake-hundley/ ⭐️ Jake Hundley's agency - https://evergrowmarketing.com/

💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/

00:00 Introduction to Schema and SEO Experts 00:30 Debunking the Myth: S