Marketing an AI token requires a dual appeal: to the tech-savvy AI community and crypto-native investors. Strategies include publishing technical explainers, model performance benchmarks, and demo use-cases. Use Twitter, Medium, Discord, and YouTube to communicate updates and vision. On-chain proof of model inference or data contribution builds trust. Partnerships with data providers, ML engineers, or AI tooling platforms can boost credibility. Campaigns like “earn-by-training” or “contribute data to earn tokens” drive user engagement. Listing on AI-focused launchpads or Kaito boards helps signal innovation. The more transparent and performance-driven the token’s value proposition, the stronger the market traction.

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