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Montgomery stressed that the model is intentionally issuer‑agnostic and composable: if two developers share trust in different issuers, they can still find overlapping trust paths, and the more independent issuers exist, the stronger the overall system becomes.

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The practical implementation involves thinking about the conversation your audience wants to have rather than the keywords they might type. What are they trying to accomplish? What confuses them? What decisions are they facing? What objections or concerns do they have? When you address these elements in natural, conversational language, you simultaneously create content that people find valuable and that AI models recognize as comprehensive answers to common questions.

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