BuildWICHI
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.
#GEO
14 posts
BuildWICHI
Multi-Engine Architecture — Parallel Collection from 3 AI Search Engines
Analysis of multi-engine architecture design principles that leverage response variance as signals, featuring parallel collection structures and scalability via the adapter pattern.
Deep DiveWICHI
GEO Paper Review: Evaluation Systems and Manipulation Risks
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).
All Posts
BuildWICHI
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.
BuildWICHI
Multi-Engine Architecture — Parallel Collection from 3 AI Search Engines
Analysis of multi-engine architecture design principles that leverage response variance as signals, featuring parallel collection structures and scalability via the adapter pattern.
Deep DiveWICHI
GEO Paper Review: Evaluation Systems and Manipulation Risks
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).
Deep DiveWICHI
GEO Paper Review: Optimization Approaches and Vertical Applications
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.
Deep DiveWICHI
GEO Paper Review: Definition and Foundational Frameworks
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.
BuildWICHI
Six GEO Business Opportunities and WICHI's Choice
Strategic analysis of three opportunity factors in the AI search (GEO) market and why WICHI chose 'SaaS-based monitoring' over advertising or agency models.
Deep DiveWICHI
HubSpot, Semrush, Adobe, and Conductor Enter GEO — How Incumbents Are Moving
Analysis of major players entering the GEO market (SearchGPT, Perplexity, Google AI Overviews), their response characteristics, and step-by-step response strategies for enterprises.
Deep DiveWICHI
GEO Agency and Consulting Market Overview
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.
Deep DiveWICHI
GEO SaaS Landscape — Profound, Scrunch, Peec and 10 More Players
Comparative analysis of 10 major GEO SaaS players (Profound, Scrunch, Peec, etc.) covering features, pricing, and targets to derive WICHI's strategic positioning.
Deep DiveWICHI
SEO Ecosystem vs GEO Ecosystem — Value Chain Comparison
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.
BuildWICHI
Jocoding Hackathon Build Log — Building a GEO SaaS in 3 Days
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.
Deep DiveWICHI
AI Search Engine Comparison: ChatGPT Search, Perplexity, AI Overviews
Comparative analysis of ChatGPT Search, Perplexity, and Google AI Overviews on accuracy, speed, and cost, with optimal engine recommendations for each query type.
Deep DiveWICHI
GEO Definition and Structural Differences from SEO
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.
LabWICHI
LLM-as-Judge — Evaluating AI Responses with AI
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.