Pixelmojo Field Notes
Older notes, newest first. Every one is the same research, methods, and build logs as the front page.
50 users requested Radar tokens and ran all 13 AI visibility tools. Average session: 10+ minutes. What they discovered, why they came back, and what it means for your AI search strategy.
Read articleGhost Protocol gives GitHub Copilot a team of 8 named specialist agents running 9 disciplined execution patterns. One install command. Agents execute, leave clean results, disappear.
Read articleRadar now runs 13 AI visibility tools in parallel with DIY implementation features: AI prompt generator, 5 implementation threads, llms.txt and schema generators, single-tool re-verify, and progress tracking. Audit, understand, fix.
Read articleAEO Page Auditor scores pages for answer engine readiness. Answer Engine Citation Tester checks if AI engines cite your URL. Both now generate AI-ready implementation prompts via Radar.
Read articleStep-by-step Radar guide: run 13 AI visibility tools in parallel, read cross-tool insights, generate AI-ready implementation prompts, and follow structured fix threads to improve your AI visibility.
Read articleWe retrofitted 21 blog posts with AEO formatting, speakable schema, and entity-linked structured data. Here is exactly what we changed and why.
Read articleCase study: extending Vector from chat-only to email replies, broadcasts, and delivery tracking in a single Thread-Based Engineering session. Real code, real architecture.
Read articleThe unified framework connecting Thread-Based Engineering to Agentic Experience Design. How thread autonomy levels map to trust patterns and supervision models.
Read articleHow we use Radar, Vector, and Hive to monitor AI visibility across SEO, GEO, and LLM channels. Real GSC data and the 3-layer monitoring framework.
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