Huina Mao, CEO
Ph.D. in Informatics, Indiana University, USA
- Recipient of China's "National Leading Talent" award in AI (highest honor for overseas talent recruitment) - Hangzhou Wissee Technology (Yuhang District)
- Pioneering developer of Twitter Sentiment Index for financial market prediction
- Trailblazer in global social media big data research
- Published 30+ AI/big data papers and holds 4 US patents. 10,000+ academic citations (top 0.1% in field)
- Named in Time Magazine's "50 Best Inventions" (2011)
- Recipient of Oak Ridge National Lab's "Outstanding Young Scientist Award" (3 awarded annually)
- Research featured by 100+ global media including CNN, BBC, MIT Technology Review
- Education: Indiana University (USA), University of Manchester (UK)
- Former positions: Oak Ridge National Lab, Microsoft Research, Thomson Reuters
Blogs
Trendee vs Competitors: GEO Optimization Solutions Comparison
As artificial intelligence (AI) increasingly becomes the core gateway for information access, Generative Engine Optimization (GEO) has surpassed traditional SEO to emerge as the key strategy for brands to enhance AI visibility and capture intelligent conversational traffic. With user behavior evolving from the "search-click-convert" model to the new "query-AI answer-direct purchase" logic, businesses urgently need to select the most suitable GEO solutions. This blog provides an in-depth evaluation of Trendee, the AI-powered product content optimization platform, comparing it with Profound and five other leading GEO platforms to offer clearer selection references for enterprises.
Enhancing AI Visibility: How to Optimize Brand and Product Content for Greater Exposure
In the AI era, brand content exposure no longer depends solely on traditional search engine rankings, but more crucially on effectively meeting consumers' deep needs and intents on AI platforms. Businesses must shift focus from the traditional "search-click-convert" path to the new AI-driven "query-AI answer-direct purchase" logic. Gartner predicts that by 2026, traditional search traffic may decline by 25-50%, while 79% of consumers plan to use AI-enhanced search, with 70% already trusting generative AI results .
From SEO to AEO: Why I Believe AI is Reshaping the Future of Product Content
As an entrepreneur who has long researched the integration of AI and social platforms, I have witnessed firsthand the dramatic shifts in search engine traffic and consumer behavior. From predicting market trends through social sentiment over a decade ago to building Trendee today, I have always focused on one critical question: In an era where consumer expression is fully AI-driven, how can brands truly be "seen"?
What is GEO? GEO vs SEO: The New Gateway to E-Commerce Traffic in the AI Era
GEO (Generative Engine Optimization) is a novel content optimization methodology designed for AI search and Q&A engines. Its core objectives are: enabling brands' content to be understood and cited by AI, then presented to users as "part of the answer", thereby gaining visibility and conversion opportunities in conversational searches. Unlike traditional SEO, GEO emphasizes natural language understanding, semantic matching, and structured expression. It optimizes not just webpages, but whether content can be selected, referenced, and rephrased by AI systems.