Blog
- Measurement & metrics Where AI visibility tools actually differ. Ten products, point by point. Ten AI visibility tools compared across fourteen points: engines, cadence, turning findings into work, cost. No scores. What differs in GEO, LLMO and AEO practice, as AI Representation Management.
- Why Can’t the AI Race Simply Slow Down in 2026? The 2026 AI race is pulled by infrastructure costs, divergent regulation, and security controls that make both speed and caution expensive.
- Measurement & metrics The full free AI audit: a tour of the on-demand PDF report A demo-data tour of Suparanku's free AI brand audit: two AI engines, five analysis axes, a site audit and a PDF whose sections and slide count depend on the available data.
- GEO basics What is AI Representation Management? Why monitoring alone isn't enough AI Representation Management defined: the closed loop from measuring what AI says about your brand to publishing fixes and re-measuring — and how it differs from monitoring and from content tools.
- Technical GEO A technical SEO and GEO audit checks whether your site is ready for AI retrieval How Suparanku checks domain-wide and page-level readiness, what SRPS does and does not mean, and which findings include implementation guidance.
- Technical GEO How to read your SRPS score and fix it with technical briefs A practical guide to Suparanku's Site audit: how the SRPS readiness score works, why pages score low, and how to act on the findings.
- Workflow & routines Suparanku MCP: bring recommendations into a compatible AI client How a compatible MCP client can retrieve Suparanku metrics and recommendations, with a practical weekly-digest workflow and the access controls to understand first.
- Measurement & metrics GEO for CMOs: the 5 metrics to report to the board in the AI search era As search moves into AI assistants, which metrics should a CMO track? The five axes — visibility, position, sentiment, share of voice, cited sources — and how to fold them into executive reporting.
- Workflow & routines GEO for marketers: a weekly routine for improving AI search visibility How to improve brand visibility in AI search as a practitioner — prompt design, spelling-variant setup, reading weekly scans, and turning opportunities into content briefs your team can execute.
- Technical GEO Technical GEO for marketing engineers: robots.txt, structured data, llms.txt The technical side of GEO that engineering owns — admitting AI retrieval crawlers, serving server-rendered HTML, structured data that carries real facts, and an honest take on llms.txt.
- Technical GEO What AI crawler rendering data says about your initial HTML Vercel found no JavaScript execution in 569M GPTBot requests. What that observation means, where Googlebot differs, and why critical text in initial HTML is the safest cross-platform baseline.
- Measurement & metrics Hyokiyure: how Japanese spelling variants break AI measurement — and how to count brand mentions correctly キヤノン, キャノン, Canon. Japanese spelling variants cause systematic undercounting in AI-answer measurement. Why it happens and how to design measurement that counts correctly.
- GEO basics What is GEO (Generative Engine Optimization)? A guide to brand visibility in AI search GEO defined: how it differs from SEO, what research has and has not demonstrated, and practical steps companies in Japan can take today.