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Major content expansion — recommended brands, tool comparison, citation decay

We published and refreshed cornerstone guides and glossary entries on what makes a brand get recommended in AI answers, how Korean GEO tools compare, and how AI citation decay and content freshness work

Over the past week we substantially expanded our content on AI visibility.

  • A new cornerstone piece on what it takes for a brand to be recommended in AI answers, plus a symptom-by-symptom checklist.
  • A refreshed pillar comparing GEO tools in the Korean market from a delivery-model and competitive-landscape angle.
  • In-depth analyses — the AI search trust paradox, the end of the all-in-one guide (extractable content), and AI citation decay and content freshness — along with new glossary entries.

Each piece is grounded in primary sources and is meant to connect measurement results to a concrete content strategy.