About the difference between LLMO SEO and XenForo’s stock schema markup
LLMO (Large Language Model Optimization) SEO goes beyond traditional structured data. It’s designed for the
AI era, focusing on how large language models like ChatGPT, Gemini, or Claude
interpret and retrieve content semantically.
XenForo’s built-in schema markup (the “stock XF schema”) uses
JSON-LD microdata to describe your pages for
search engines such as Google things like discussions, articles, breadcrumbs, etc. It helps search bots index your site and generate rich snippets.
LLMO markup, on the other hand, is meant for
AI understanding, not just search ranking:
- It emphasizes contextual meaning rather than keyword tagging.
- It may use entity-based or graph-style metadata to express relationships and intent.
- It’s more flexible, allowing for custom contexts or hybrid vocabularies that go beyond Schema.org.
In short:
XenForo schema = for Google’s structured indexing.
LLMO SEO = for AI comprehension and reasoning.
To put it simply: XenForo’s schema tells Google
what’s on the page, while LLMO SEO tells AI systems
why that content matters and how it connects to the bigger picture.
And just to add, I decided to drop the idea of developing the LLMO add-on myself; it turned out to be too complex for my current development skills.