iKala Highlights Agentic Commerce and GEO: AI Agents Reshaping Purchase Decisions and Marketing
Frontier AI models · AI assistants · Enterprise AI
iKala states consumer touchpoints are shifting to AI agents, prompting brands to transition from SEO to GEO while leveraging TMMLU+ for local evaluation.
iKala co-founder Sega Cheng and AI Marketing Director Chiao-Tung Hsu noted that AI is altering search and transaction pathways. As AI agents gain execution capabilities, commercial models may shift toward agentic commerce. With consumer search behavior transitioning toward direct AI responses, brand strategy must move from conventional search rankings to generative engine optimization (GEO) to ensure visibility in AI citations. Additionally, enterprise AI adoption requires hands-on involvement from leadership, alongside open-source benchmarks evaluating local Traditional Chinese comprehension.
Key takeaways
- Sega Cheng stated that AI agents are transitioning commerce toward purchasing tasks, shifting transaction control.
- Brand competition is moving from standard SEO toward GEO to manage how AI platforms cite and recommend products.
- Enterprise AI adoption challenges often stem from leadership disengagement, requiring targeted pilot validations.
- To measure model comprehension of local Taiwanese context, iKala supports the open-source benchmark TMMLU+.
Source：數位時代 Read the original ↗
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