# Marketing Strategy AI (MSAI) MSAI's primary users are blockchain project parties and cryptocurrency operators. It is mainly implemented through AI tools such as ChatGPT and drawing AI. **Whitepaper Framework and Outline** Based on the information provided by users, ISAI offers a whitepaper writing approach. Through continuous dialogue with users and refining the whitepaper framework and content outline according to the user's project design. **Marketing Copy Framework and Main Content** Based on the information provided by users, ISAI offers a marketing copywriting approach. Through continuous dialogue with users and refining the marketing copy framework and main content according to the user's desired thought process and writing style. MSAI can also use ISAI's KOL focus service, providing KOL marketing copy as a reference based on the user's project similarity. **LOGO Design** MSAI engages in multiple conversations with users to understand the project's positioning, characteristics, as well as the user's aesthetic standards and style. Based on this, MSAI generates key design keywords for the project and sends them to the user. After several revisions, the final keywords are determined, and the drawing AI generates several LOGO designs for the project. **Intelligent Customer Service** MSAI provides an intelligent customer service API for the project, offering online intelligent customer service to the project's users. MSAI uses a knowledge graph to match user scenarios and combines with ChatGPT for multi-round conversations to solve user questions. If the user's question cannot be satisfactorily answered, MSAI will transfer the query to human customer service. In addition, MSAI incorporates project statements, announcements, rules, and other content into the knowledge graph. Through interaction with users and learning from ChatGPT, MSAI continuously accumulates knowledge, case studies, and communication skills. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://aigpt-organization.gitbook.io/aigpt-whitepaper-3/information-service-ai-product/marketing-strategy-ai-msai.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.