Unlock the Hidden Entity Gaps Sabotaging Your Content Strategy—Are You Missing This Critical Element?
Have you ever wondered why your meticulously crafted schema, which boldly declares who your brand is, somehow doesn’t quite click with Google’s understanding? It’s like telling a great joke and realizing the audience’s left scratching their heads instead of laughing. That disconnect? It’s not just a quirk—it’s a glaring signal that your content strategy isn’t hitting all the marks. On September 16 at 1 p.m. ET, Ray Martinez, VP of SEO at Archer Education, is stepping into the spotlight during SMX Now to unravel this mystery. He’s handing you the blueprint to measure the gap between the entities you think define your brand and what Google’s natural language processing really picks up on. Through a smart blend of schema.org markup, Google Cloud’s NLP API, and some savvy coding tools like Antigravity or Claude Code, you’ll learn to transform your schema into a living, queryable knowledge graph. More than that, you’ll uncover what your competitors are talking about, spot the blind spots in your own content, and shine a light on those overlooked entities Google hasn’t tagged with your brand just yet. And this isn’t just theory—Martinez will guide you on turning those insights into knockout content strategies that build stronger connections, amplify your structured data, and make your pages sing across search and AI platforms. Imagine having a repeatable playbook that doesn’t just measure your visibility but actively finds fresh content opportunities and tracks how well Google and AI are actually learning what you’re really about. Are you ready to close the gap and get your brand the recognition it deserves? LEARN MORE.
Your schema tells search engines what your brand is. But that doesn’t mean Google’s systems understand it the same way.
That gap can reveal where your content strategy is falling short.
Our next SMX Now on Sept. 16 at 1 p.m. ET will feature Ray Martinez, VP of SEO at Archer Education. He’ll show you how to measure the difference between the entities you define and the ones Google’s natural language processing (NLP) actually recognizes.
You’ll learn how to build an entity audit using schema.org markup, the Google Cloud Natural Language API, and an agentic coding tool such as Antigravity, Claude Code, or Codex. The process turns your existing schema into a queryable knowledge graph, then compares it with competitor content to uncover topics they cover, gaps they miss, and entities Google doesn’t yet connect with your brand.
Martinez will also show you how to turn those findings into action. You’ll learn how to create content around under-recognized entities, strengthen those connections with structured data and internal data, and make your pages more retrievable and citable across search and AI engines.
You’ll leave with a repeatable way to measure discoverability, find content opportunities, and track whether Google and AI systems are getting better at understanding what your brand actually does.
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