Core Insights - The maturity of AI in the travel product sector is still insufficient to meet the daily usage requirements of the general public, leading to a perception of AI travel guides as somewhat useless [1][21][20] - Various AI products have been launched, such as Feizhu's "Ask" and Mafengwo's AI travel assistant, which aim to enhance user experience in travel planning [1][14] - Despite the introduction of AI tools, the generated travel itineraries often lack personalization and differentiation, primarily focusing on popular tourist spots [3][20] AI Product Development - Feizhu and Mafengwo have recently launched new AI capabilities, with Feizhu's "Ask" being a multi-agent driven product and Mafengwo's AI assistant providing real-time Q&A and personalized recommendations [1][14] - Other general AI search tools like DeepSeek and Quark are also being utilized by users to create travel plans, indicating a growing trend towards AI integration in travel planning [1][2] User Experience and Feedback - User experiences with AI-generated travel itineraries have been mixed, with many finding the recommendations to be generic and lacking in unique insights [3][20] - Specific products like Manus provide more detailed itineraries, including time allocations and travel suggestions, but still face challenges in accurately calculating travel times between attractions [7][11] Challenges in AI Travel Solutions - Many AI products are still in beta testing, limiting user access and functionality, which hinders widespread adoption [21] - Current AI tools often lack the ability to adjust generated itineraries based on user feedback, leading to a repetitive and inefficient planning process [21][22] - The need for AI to better understand and decompose user requirements is critical for improving the effectiveness of travel planning tools [21][24] Future Directions - There is potential for AI in travel to improve by integrating data from various sources, allowing for a more comprehensive and personalized travel planning experience [25][26] - The industry must address the issue of information silos to enhance the accuracy and reliability of AI-generated travel recommendations [25][26]