Cultural and Creative Brand GEO Case | AI Mention Rate Breaks Through from 0, Tops Ranking on All Platforms
Challenge
The user decision-making path of cultural and creative consumption is continuously shifting to AI Q&A scenarios. When users consult about cultural and creative brand recommendations, cultural and creative product selection and other issues on AI platforms, AI's answer results directly determine the brand's traffic acquisition and user perception. Although domestic cultural and creative brands have product and content characteristics, their brand exposure in the emerging traffic entrance of AI Q&A is extremely unstable, and they are completely absent in core scenarios. Core Challenges： • Before the cooperation, brand words occasionally did not appear on mainstream AI platforms such as DeepSeek and Kimi. The basic brand exposure was not stable enough, and users could not stably obtain corresponding information when searching for the brand. • The mention rate of scenario words on AI platforms was 0. Users could not access brand information at all in decision-making scenarios related to cultural and creative consumption, missing scenario-based traffic opportunities. • The brand's original content system lacked a structured knowledge base adapted to large model retrieval, and the publishing logic did not conform to AI inclusion rules, making it difficult for brand information to be stably captured and recommended by large models.
Solution
1. Improvement of Brand Knowledge Base System We build a structured knowledge base around the core information of cultural and creative brands and high-frequency user questions, and sort out brand content according to the logic of knowledge fragments recognizable by large models, so as to consolidate the content foundation for brand information to be included by AI. 2. Structured Optimization of Publishing Templates We optimize the publishing template according to the semantic retrieval rules of large models, and reconstruct the expression of cultural and creative content according to the logic of "question-answer", so that brand information is more in line with the extraction and citation preferences of large models, and improves the inclusion priority. 3. Full-Scenario Content Coverage Layout We cover multi-dimensional content scenarios such as brand words and scenario words, ensure the content density and weight in each scenario, solve the problems of unstable brand word exposure and zero mention of scenario words, and realize the ranking improvement on all platforms.