iKala Examines Agentic Commerce Trends and Enterprise GEO Marketing
Frontier AI models · AI assistants · Enterprise AI
iKala co-founder Sega Cheng notes that AI agents are evolving from search to executing purchases, driving brand competition from SEO toward Generative Engine Optimization (GEO). Successful enterprise AI adoption requires hands-on executive engagement and localized language evaluation via benchmarks like TMMLU+.
iKala co-founder and Chairman Sega Cheng, alongside the company's AI marketing leadership, observed that search, decision-making, and transaction gateways are transitioning to AI. As AI agents advance from answering questions to executing tasks, commerce is moving toward Agentic Commerce, where agents make direct purchases. Consequently, brand visibility is expanding from traditional SEO to Generative Engine Optimization (GEO), requiring enterprises to manage how AI describes, cites, and recommends their brands. For internal adoption, Cheng pointed out that executive disengagement often stalls progress, recommending rapid verification in key scenarios. Additionally, iKala developed the open-source Traditional Chinese benchmark TMMLU+ to evaluate models' understanding of local Taiwanese context and language.
Key takeaways
- iKala states AI agents are progressing from search retrieval to executing purchases, making Agentic Commerce the new transaction gateway.
- Brand marketing is expanding from SEO to GEO, emphasizing brand visibility, citations, and recommendation context across AI platforms.
- Cheng emphasizes enterprise AI adoption requires hands-on executive use and rapid scenario validation, alongside TMMLU+ evaluation for local fluency.
Source：數位時代 Read the original ↗
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