
▶︎ PLATEER ‘genser’ Launches GEO-Specific Features to Address Zero-Click Environment
▶︎ Presents intent-based content structure adopted as the ‘correct answer’ by AI search
PLATEER (CEO Lee Sang-hoon), a specialized AI·DX solutions company, announced it is fully implementing its ‘GEO (Generative Engine Optimization)’ strategy—a new survival tactic for e-commerce businesses—through its SaaS-based AI search solution ‘genser’.
With the proliferation of generative AI-based search services, the ‘Zero-Click’ phenomenon—where users obtain immediate answers from external AI search results without visiting websites directly and then leave—has emerged as a structural challenge for the e-commerce industry. This leaves companies dependent on external AI platforms for critical data regarding customer search intent, browsing context, and conversion potential.
PLATEER defines the essence of the zero-click problem not as ‘traffic reduction,’ but as the loss of control over what information external AI learns and what answers it adopts. As a solution, it proposes a GEO strategy through ‘genser’.
‘genser’ provides generative AI search functionality within e-commerce sites, collecting natural language search query data in sentence form entered by users. The core of genser's GEO strategy is its ‘AI Comment’ technology. This combines the complex sentence-level queries (Input) actually entered by users with subsequent customer behavior data (Verification) to maximize the semantic alignment (Alignment) between the query and product information.
AI Comment is not merely a rephrasing or summarization of existing product information. It is intent-based content designed to structure and display the context of the user's question itself as content within the product detail page. This enables external generative AI search engines to recognize that page as the most relevant ‘verified answer candidate’ when exploring information.
Notably, AI Comment achieves high consistency in vector similarity, intent alignment, and user behavior-based verification preferences—key adoption criteria for generative AI search engines. This enables external AI systems to recognize the product information not merely as reference data, but as a reliable information source that can be leveraged for generating answers.
This structure encourages specific brands and products to be prioritized within external AI search results even in zero-click environments. Consequently, it enables traffic to the company's own mall and subsequent conversions starting from AI search answers. In other words, genser's AI Comment functions not only as a ‘learning target’ for external AI in GEO strategy but also as a technical mechanism to enter the AI's answer structure.
Leveraging this technical approach, ‘genser’ adoption and validation projects are expanding, particularly in high-involvement product categories like fashion, beauty, and home appliances. Specialized malls and large general malls, where customer question contexts and purchase intentions are complexly intertwined, are focusing on genser's intent content architecture as a structural response to the zero-click environment.
PLATEER CEO Lee Sang-hoon stated, “In the generative AI search environment, simply possessing content is no longer competitive,” adding, “genser's AI Comment is the core technology of our GEO strategy, helping companies build a content structure that AI search engines must adopt, based on customer query and behavioral data.”