iKala Highlights Agentic Commerce and GEO: Brands Must Prepare for AI Recommendations
AI assistants · Enterprise AI
iKala Chairman Sega Cheng noted that consumer decision entry points are shifting to AI, transitioning from search to automated purchasing. Brands must expand from SEO to Generative Engine Optimization (GEO) and monitor model comprehension of local context.
As AI agents increasingly assist with consumer decision-making and task execution, iKala highlighted that commerce is advancing toward Agentic Commerce. Chairman Sega Cheng stated that as search shifts toward decision-making without clicking, AI agents may directly select products and execute purchases for consumers, shifting marketing focus from traditional SEO to Generative Engine Optimization (GEO). The key challenge is ensuring brands are accurately referenced and recommended by AI engines. Meanwhile, internal enterprise AI adoption often stalls when decision-makers do not use AI themselves, requiring incremental validation in key scenarios. Additionally, iKala supports the open-source TMMLU+ benchmark to evaluate model comprehension of Traditional Chinese and Taiwanese context.
Key takeaways
- Sega Cheng stated that AI agents are evolving from answering queries to purchasing goods, shifting transaction dominance to AI.
- Competition is expanding from SEO to GEO, requiring brands to monitor AI descriptions, recommendation contexts, and reference sources.
- Cheng pointed out that enterprise AI adoption often stalls because executives do not use AI, recommending validation in key scenarios.
- iKala supports the open-source TMMLU+ benchmark to evaluate AI models on Traditional Chinese and local Taiwanese knowledge.
Source：數位時代 Read the original ↗
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