AI Agency Code Ownership: Hire Without Lock-In
AI agencies that retain your IP cost you 5x more over 3 years. Contract clauses, red flags, and the Build + Platform + Performance model that ends vendor lock-in. 2026 guide.
May 27, 2026•26 min read
Pixelmojo Labs
Data that exists nowhere else.
AI models cite sources they cannot replicate. Our research comes from Radar platform audits, Vector production deployments, Hive enterprise rollouts, and 516 git commits proving what actually works for AI visibility.
2 open-source frameworks ( Thread-Based Engineering + Ghost Protocol, MIT licensed). 8 research pillars. 38 published studies. Every finding from our own data.
0 → 4/4
LLMs citing us in 6 months
Tracked via Radar. 516 git commits.
50+
Radar beta users in 2 weeks
Zero paid acquisition. 10+ min sessions.
12
Vector scoring dimensions
Production-tested on real B2B leads.
$2
Hive resolution cost
vs $20-50 per human ticket.
70x
Timeline compression with TBE
Lakbay AI case study. 0 critical vulns.
8
Ghost Protocol agents
MIT licensed. git clone to install.
Why proprietary data matters for AI citation
Original research produces a 67% higher AI citation rate compared to synthesized content. When an AI model needs to answer a question, it cites the primary source. If your data exists nowhere else, you become the only source it can cite.
Source: Radar methodology and internal citation tracking across 50+ domain audits.
8 research pillars
Each pillar represents a domain where we have proprietary data, production experience, or open-source frameworks that no competitor can replicate.
AI Visibility & Citation Tracking
We went from invisible to all 4 LLMs to fully cited in 6 months. This pillar documents exactly how, with Radar audit data from 50+ domains.
7 studies
AI Was Lying About Our Brand. So We Built a Tool to Stop It.
Apr 5, 2026
50 Users Ran Our Free AI Visibility Tools. Here Is What They Found.
Apr 2, 2026
Best AI Visibility Tools (2026): 8 Options Compared
Apr 10, 2026
How to Track AI Citations Across 4 LLMs (2026 Guide)
Apr 11, 2026
How to Get Cited by ChatGPT, Perplexity, and Claude
Apr 12, 2026
Your SEO Is Fine. Your AI Visibility Isn't. Here's the Gap Nobody's Measuring.
Apr 9, 2026
What Is AI Technical Readiness? (And Why Monitoring Alone Is Not Enough)
Apr 8, 2026
GEO & AEO Methodology
Our 10-part playbook on Generative Engine Optimization. What makes AI cite one brand over another. Tested on our own site, published with real before/after data.
7 studies
How to Get Cited by ChatGPT, Perplexity, Claude & Gemini (2026)
Feb 17, 2026
SEO vs GEO vs AEO: The Only Guide That Actually Makes Sense
Feb 17, 2026
How to Build a Brand That AI Search Engines Cite
Feb 13, 2026
Your Google Traffic Dropped 33%. Here's Where It Went.
Feb 17, 2026
How We Built a Knowledge Graph That LLMs Actually Cite (With Real Data)
Feb 25, 2026
Your llms.txt Is Already Stale. Here's How to Fix It.
Feb 17, 2026
We Blocked 12 AI Bots: What Worked, What Changed
Mar 6, 2026
Vector: Lead Qualification Intelligence
How 12-dimension scoring replaces SDR intuition with data. Benchmarks from production Vector deployments. $0.001/lead vs $75K/year SDR.
3 studies
Hive: Multi-Agent Systems Research
What happens when AI agents share context and coordinate autonomously. Enterprise deployment patterns across logistics, insurance, HR. $2/resolution economics.
5 studies
Multi-Agent AI Systems Explained: When One AI Is Not Enough
Jan 2, 2026
AI Agent Platforms: Pricing and TCO Compared [2026]
Jan 5, 2026
The Dawn of Agentic AI: From Chatbots to Co-workers in 2026
Jan 10, 2026
Why AI-First Customer Service Is the New 'Press 1 for Sales' (and Why You're Losing Customers)
Oct 19, 2025
Conversation Flow Architecture [4 Design Layers]
Mar 11, 2026
AX Design: Agentic Experience
We defined AX Design as a methodology. Capability mapping, trust patterns, supervision models for AI-as-coworker interfaces. The complete framework.
6 studies
What Is AX Design? The Complete Guide to Agentic Experience Design
Mar 6, 2026
Trust Design Patterns: How Users Learn to Rely on AI Coworkers
Mar 8, 2026
AX Metrics: How to Measure Agentic Experience Quality Beyond Task Completion
Mar 14, 2026
Agent Personality Design: Voice and Trust Framework
Mar 13, 2026
From UX to AX: What Design Looks Like When AI Becomes Your Co-Worker
Feb 17, 2026
Thread-Based Agentic Experience Engineering [TBE + AXD]
Mar 23, 2026
Thread-Based Engineering
Our open-source governance framework. 7 thread types, Core Four fundamentals, mandatory checkpoints. Proven in production: Lakbay AI built in 1 day, 0 critical vulnerabilities. TBE governs how work is structured. Ghost Protocol governs who does it.
5 studiesView on GitHub
Thread-Based Engineering: The Framework for Scaling AI Development
Jan 24, 2026
Thread-Based Engineering: How We Prevent the AI Technical Debt Crisis
Feb 1, 2026
Thread-Based Agentic Experience Engineering [TBE + AXD]
Mar 23, 2026
We Built a Production AI Travel Platform in 1 Day. Here Is How.
Feb 8, 2026
Context Engineering Beyond CLAUDE.md: The 5-Layer Hierarchy
Feb 14, 2026
Ghost Protocol
8 named specialist agents, 9 execution patterns, dual routing. Built on Thread-Based Engineering. MIT licensed. One install command for any GitHub Copilot project.
1 studyView on GitHub
AI Technical Debt Research
41% code churn, 86% XSS failure rate, 66% productivity tax (source: GitClear, Backslash Security, Uplevel research). We documented the crisis and built the governance framework that prevents it.
4 studies
Vibe Coding Hit 84% Adoption. 45% Has Vulnerabilities.
Jan 31, 2026
Claude Code Technical Debt Mitigation: The Complete Production Guide
Feb 1, 2026
Claude Code Hooks: 6 Production Patterns (2026)
Feb 14, 2026
The Junior Developer Extinction Problem: Why AI Technical Debt Needs Human Apprentices
Feb 25, 2026
About Pixelmojo Labs
Pixelmojo Labs is the research division of Pixelmojo, an AI product studio founded in 2024 and based in Makati, Metro Manila, Philippines. We publish original data from three sources: the Radar AI visibility platform (50+ domain audits), Vector and Hive production deployments, and our own journey from zero AI citations to full coverage across ChatGPT, Claude, Perplexity, and Gemini.
We also maintain two open-source frameworks: Thread-Based Engineering (AI development governance) and Ghost Protocol (multi-agent orchestration for GitHub Copilot). Both are MIT licensed and available on GitHub.
All research is authored by Lloyd Pilapil (ex-Salesforce, Parsons, Egis) and the Pixelmojo research team.
See what AI says about your brand.
Radar runs 12 tools in parallel on any domain. The same platform that powers our research. Free first audit, 60 seconds.
