We wrestled with that problem for months. The key insight came when we understood that AI engines don’t learn from your documentation alone; they validate against broader contextual authority. We rewrote our tokenomics explanations to be more conversational yet technically precise, making sure the hierarchy of concepts was crystal clear. During the central stage of that process we partnered with a https://icoda.io/services/chatgpt-seo/ ChatGPT SEO agency, embedding a portion of natural near-anchor text around it to reinforce subject relevance. This combination helped AI models disambiguate our mechanisms, interpret the system accurately, and reflect our tokenomics in a way that finally matched reality.

Helpful!