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    <title>Yunhee Choi</title>
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      <title>SearchSEOul-GEO-Ontology-YunheeChoi.pdf</title>
      <description>As AI Search evolves from citation and mention toward evaluation and recommendation, GEO can no longer be treated as a content-formatting problem alone.

This deck explores why brands need to move beyond producing more AI-friendly content and start designing the knowledge structures that help AI understand, evaluate, compare, and recommend them.

Using the concept of ontology, it shows how brand facts, evidence, attributes, user needs, and decision criteria can be connected into a Brand Knowledge Blueprint — and introduces a practical 5Q Framework: Target → Criteria → Evidence → Presence → Validation for putting that perspective into action.</description>
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      <content:encoded>As AI Search evolves from citation and mention toward evaluation and recommendation, GEO can no longer be treated as a content-formatting problem alone.

This deck explores why brands need to move beyond producing more AI-friendly content and start designing the knowledge structures that help AI understand, evaluate, compare, and recommend them.

Using the concept of ontology, it shows how brand facts, evidence, attributes, user needs, and decision criteria can be connected into a Brand Knowledge Blueprint — and introduces a practical 5Q Framework: Target → Criteria → Evidence → Presence → Validation for putting that perspective into action.</content:encoded>
      <pubDate>Fri, 04 Sep 2026 00:00:00 -0400</pubDate>
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