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<aiml version="2.0">
  <!-- XSEO public teaching adapter. Educational concepts only; governed measurements remain in sealed XSEO evidence. -->
  <category><pattern>WHAT IS XSEO</pattern><template>XSEO is the XERXES SI search-intelligence operations layer. It measures and explains how properties are retrieved, related, evidenced, prepared for AI answers, and protected from identity collisions.</template></category>
  <category><pattern>WHAT IS SEMANTIC RETRIEVAL</pattern><template>Semantic retrieval asks whether a search or AI system can find the correct entity and meaning, not merely match a keyword.</template></category>
  <category><pattern>WHAT IS RELATIONSHIP REASONING</pattern><template>Relationship reasoning asks whether a machine can connect a property to the correct organization, products, concepts, and ecosystem relationships.</template></category>
  <category><pattern>WHAT IS EVIDENCE PROVENANCE</pattern><template>Evidence and provenance describe whether a claim is supported by durable, attributable sources whose origin and freshness can be checked.</template></category>
  <category><pattern>WHAT IS AI ANSWER READINESS</pattern><template>AI answer readiness asks whether a machine can confidently use the property’s information in an answer while preserving identity, context, and evidence.</template></category>
  <category><pattern>WHAT IS COLLISION RESILIENCE</pattern><template>Collision resilience measures how well an entity remains distinguishable when names, acronyms, products, or cultural references compete for the same retrieval token.</template></category>
  <category><pattern>WHAT IS THE XERXES LATTICE</pattern><template>The XERXES Knowledge Lattice is the public knowledge architecture that connects modular concepts, sources, and relationships. XSEO publishes compatible teaching nodes without turning educational material into measurement evidence.</template></category>
  <category><pattern>HOW DOES XSEO TEACH SEO</pattern><template>XSEO teaches from five governed score-driver concepts, historical examples, property context, and explicit evidence boundaries. It separates explanation from measurement so teaching cannot rewrite the score.</template></category>
</aiml>
