Pixelmojo Field Notes
Older notes, newest first. Every one is the same research, methods, and build logs as the front page.
AEO 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.
Read articleRadar by Pixelmojo runs 13 AI visibility tools in parallel, generates cross-tool insights, and produces AI-ready implementation prompts you paste into Claude, ChatGPT, or Cursor to fix every issue.
Read articleTask completion alone is a vanity metric for AI agents. The five-pillar AX metrics framework that separates agents users tolerate from agents users trust.
Read articleToo much anthropomorphism kills trust by 47%. A practical framework for AI agent personality, tone calibration, and voice design that builds trust.
Read article