Exploring page 4 of our thoughts, tutorials, and insights about web development and technology.
50 users requested Radar tokens and ran all 12 AI visibility tools. Average session: 10+ minutes. What they discovered, why they came back, and what it means for your AI search strategy.
Ghost 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.
Radar now runs 12 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.
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.
Step-by-step Radar guide: run 12 AI visibility tools in parallel, read cross-tool insights, generate AI-ready implementation prompts, and follow structured fix threads to improve your AI visibility.
We retrofitted 21 blog posts with AEO formatting, speakable schema, and entity-linked structured data. Here is exactly what we changed and why.
Case study: extending Vector from chat-only to email replies, broadcasts, and delivery tracking in a single Thread-Based Engineering session. Real code, real architecture.
![Thread-Based Agentic Experience Engineering [TBE + AXD]](/_next/image?url=%2Fax-design-playbook-tbe-meets-axd.webp&w=1920&q=95)
The unified framework connecting Thread-Based Engineering to Agentic Experience Design. How thread autonomy levels map to trust patterns and supervision models.
How 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.
Showing posts 28-36 of 88 total posts