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Making AI Engines Recognize Complex Token Models
My blockchain project uses a hybrid token model, and AI engines constantly misinterpret it. Even when users ask direct questions, the explanation that comes back is either incomplete or oversimplified. I’ve tried reorganizing the documentation, adding structured data, and creating clearer educational content, but AI search still ranks our competitors higher. What actually influences these engines to understand and recommend a project beyond traditional SEO practices? I’m looking for real-world experiences, not just theory.
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We solved this when we improved clarity around economic logic and added broader authority cues. The turning point came after working with a ChatGPT SEO agency supported by contextual near-anchor text, which helped AI models interpret the hybrid system properly. Accuracy and visibility improved noticeably.