
Designing the 9-Bucket Query Framework
Documentation of WICHI's 9-Bucket query framework. Defines 3 Zones and 9 Buckets based on brand presence to measure AI's organic recommendations effectively.

Documentation of WICHI's 9-Bucket query framework. Defines 3 Zones and 9 Buckets based on brand presence to measure AI's organic recommendations effectively.

Analysis of multi-engine architecture design principles that leverage response variance as signals, featuring parallel collection structures and scalability via the adapter pattern.

Review of SAGEO Arena and CORE papers, analyzing the need for integrated GEO evaluation frameworks and the vulnerability of AI search rankings (91.4% Top-5 manipulation success rate).
Documentation of WICHI's 9-Bucket query framework. Defines 3 Zones and 9 Buckets based on brand presence to measure AI's organic recommendations effectively.
Analysis of multi-engine architecture design principles that leverage response variance as signals, featuring parallel collection structures and scalability via the adapter pattern.
Review of SAGEO Arena and CORE papers, analyzing the need for integrated GEO evaluation frameworks and the vulnerability of AI search rankings (91.4% Top-5 manipulation success rate).
Review of AutoGEO (quality-preserving auto-optimization) and E-GEO (e-commerce vertical benchmark) papers, analyzing how GEO optimization seeks a Pareto optimal between visibility and utility.
Review of the KDD 2024 GEO paper and Chen et al. 2025. Covers the academic definition of GEO, the PAWC visibility metric, and AI search's preference for earned media.
Strategic analysis of three opportunity factors in the AI search (GEO) market and why WICHI chose 'SaaS-based monitoring' over advertising or agency models.
Analysis of major players entering the GEO market (SearchGPT, Perplexity, Google AI Overviews), their response characteristics, and step-by-step response strategies for enterprises.
Analysis of four revenue models in the GEO agency and consulting market, risk mitigation strategies for search engine updates, and the necessity of transitioning to tech-driven SaaS.
Comparative analysis of 10 major GEO SaaS players (Profound, Scrunch, Peec, etc.) covering features, pricing, and targets to derive WICHI's strategic positioning.
Predicting the 5-stage GEO value chain based on 20 years of SEO history, analyzing business opportunities and preemptive strategies for infrastructure, analytics, and specialized media.
Recording the 3-day MVP build for WICHI during the Jocoding Hackathon, covering tech stack choices (FastAPI, React, Supabase) and priorities for creating a 'working product' under tight deadlines.
Comparative analysis of ChatGPT Search, Perplexity, and Google AI Overviews on accuracy, speed, and cost, with optimal engine recommendations for each query type.
Definition of GEO and its six structural differences from SEO. Proposes a new framework for brand visibility in an environment where AI search provides answers instead of link clicks.
Analysis of the LLM-as-Judge pattern for evaluating AI response quality, featuring multidimensional metric design, reliability verification, and strategies for position and verbosity bias.