Methodology origin

William Bouch — The Architect Behind AEOfix

Most AEO content was written by marketers who have not tested it. This is the record of someone who built the tools first, documented the results second, and published only what was verified.

LocationAsheville, NC
RoleFounder & AEO Architect
CompanyAEOfix
FocusAEO / Full-Stack

What Was Built — and Why It Works

William Bouch is the founder of AEOfix, an Answer Engine Optimization service based in Asheville, North Carolina. He designed and built the AEOfix platform — including 11+ proprietary AEO tools, a 24-agent analysis system, and an AI agent commerce framework — using JavaScript/TypeScript, Vercel edge infrastructure, and Claude CLI.

His engineering-driven methodology achieved 70% AI visibility in 6 days across ChatGPT, Claude, Gemini, and Perplexity — 15–30x faster than traditional SEO timelines. The results are documented in AEOfix's 2026 AI Visibility Study (160 responses, 110 brands analyzed). The study is public. The methodology is documented. Review the evidence. That is the standard this work is held to.

Only someone who has looked past the agency pitch deck and asked what was actually measured will understand why documentation matters more than claims. For the personal account behind AEOfix — from a broken Surface Pro to a production-grade AEO framework — see the About page.

Documented Results

70%
AI visibility in 6 days
4 engines tested
35.67x
schema citation lift
110 brands studied
11+
proprietary tools
JS/TS, open tooling
8+
Schema.org formats
dynamic generation

Systems Built in Production

These are not proof-of-concept builds. Each system is deployed and actively running on aeofix.com:

AI Agent Commerce

  • /api/purchase/intent — deterministic price locking
  • /api/catalog — unified catalog with AI recommendations
  • /api/orders — token-based verification + Schema.org Invoice
  • Square Payments with idempotency keys

Schema.org Infrastructure

  • /api/catalog/schema — 8+ dynamic formats
  • /ontology.html — custom AEO ontology (9 metrics)
  • StatisticalVariable definitions for AI interpretation
  • Semantic density, E-E-A-T strength, entity coverage

Edge Computing & Security

  • Vercel Edge Middleware — bot detect + classify
  • Rate limiting: 100 req/min in-memory store
  • 4-tier crawler policy (24+ bot types configured)
  • Advanced CSP, HSTS, CORS headers

Proprietary Tooling

  • llm-scanner.js — 27KB AEO audit engine
  • schema-generator.js — dynamic Schema.org creation
  • llms-generator.js — automated AI summary gen
  • GIST Algorithm analyzers, security utils

Open Source & Past Projects

Python · Open Source

Max2000 — Live Avatar Creator

  • Multi-agent framework with permission-based access control
  • Inter-agent communication relay + async message handling
  • LLM abstraction layer: OpenAI GPT-4 + Anthropic Claude
  • Short-term & long-term memory management

github.com/Billy76b/Max2000 →

Technical Stack

Languages
JavaScript, TypeScript, Python, HTML5, CSS3, JSON-LD, Markdown
Runtime
Node.js, Express, Vercel Edge Functions, Vercel Serverless
Data
Neon PostgreSQL, Schema.org (8+ types), custom AEO ontology
APIs
Square Payments, Web3Forms, Vercel Edge Middleware, bot pixel tracking
AI
Claude CLI, 24-agent AEO system, multi-agent frameworks, llms.txt / ai.txt / UCP
Standards
E-E-A-T, GIST Algorithm, AI Overviews, voice search optimization, featured snippets

Proprietary AEO Toolset

/aeo-visibility-scan

AI Visibility Scanner across ChatGPT, Claude, Gemini, Perplexity

/aeo-schema

Schema.org & JSON-LD Markup Generator

/aeo-eeat

E-E-A-T Authority Signal Analyzer

/aeo-entity

Knowledge Graph Entity Builder

/aeo-content

AI Comprehension Content Optimizer

/aeo-gist-analyze

GIST Algorithm AEO Analyzer

/aeo-faq

FAQ Schema Generator for AI Answers

/aeo-nap-audit

NAP Consistency Auditor for Local AEO

/aeo-youtube

YouTube AEO Optimizer

/aeo-video

Video AEO Metadata Optimizer

/aeo-github

GitHub Documentation Optimizer

Core AEO Capabilities

  • ›Multi-engine optimization: ChatGPT, Claude, Gemini, Perplexity
  • ›Schema.org and JSON-LD structured data implementation
  • ›Machine-readable file configuration (llms.txt, ai.txt)
  • ›AI crawler optimization and access configuration
  • ›E-E-A-T authority signal optimization
  • ›Source mapping audits across 150+ industry queries
  • ›Competitor gap analysis in AI search results
  • ›30-day verification cycles with measurable KPIs

Skills

Full-Stack Development

JavaScript/TypeScript Python Node.js Express.js HTML5/CSS3 RESTful APIs Serverless Architecture Edge Computing PostgreSQL Vercel Git/GitHub

AI Agent & E-commerce

AI Agent Commerce Square Payments Payment APIs Autonomous Purchase Flow Transaction Processing Order Management Chatbot Development Lead Qualification

AEO & SEO Optimization

Answer Engine Optimization Schema.org Markup JSON-LD Knowledge Graph E-E-A-T Optimization AI Visibility Analysis Structured Data llms.txt Configuration Multi-Engine Strategy GEO Strategy

Security & Infrastructure

Edge Middleware Bot Management Rate Limiting CSP Configuration CORS Authentication Security Headers

Published Work

Research
AI Visibility Study 2026
160 responses, 110 brands analyzed
Case Study
Building AEOfix
From zero to 70% AI visibility in 6 days
Case Study
What AI-Cited Brands Do Differently
110-brand audit: schema, E-E-A-T, structure
Guide
How to Get Cited by AI
7-step AI citation framework

Engage on Verified Terms

For AEO implementation, start with a free AI visibility check — see the full ladder from free check to done-for-you Fix on the services page. For the methodology behind the results, the About page documents the origin and the process. Only someone who researches the people behind the work before making a decision will find this page useful in the way it was intended.

Also available for Sr. AEO Manager, AEO Strategist, or Full-Stack roles. Remote preferred. $140K–$220K range.

Get in Touch Check My AI Visibility LinkedIn →