The Answer Control OS for the age of AI search
Kinsho AI helps teams understand and improve how their brand is found, evaluated, and cited inside AI-generated answers. Built in Yokohama with native Japanese language precision and global multilingual coverage.
Company facts
Built in Yokohama for global AI search operations
Tenjin Tech Company builds Kinsho AI with native attention to Japanese language and brand structures, while supporting global teams and multilingual markets.
Location
Built from Yokohama, Kanagawa, Japan. A global AI visibility platform with Japan-first language precision.
Product category
AI brand visibility, GEO (Generative Engine Optimization), LLMO, APR (AI Perception Ranking), and AI search optimization.
Operating philosophy
Measure → Diagnose → Plan → Verify. Running this closed loop continuously is the only reliable way to improve brand presence in AI answers.
Team
The team behind Kinsho AI
A professional team based in Yokohama, pioneering the new era of AI marketing and brand visibility.
CEO & Co-founder — Ikuo (Jack) Hirayama
Representative Director and Co-founder of Tenjin Tech Company. Jack leads the strategic vision for AI marketing in the Japan market and drives global business development and partnerships from Yokohama.
CTO, Executive Partner & Co-founder — Ankit Tiwari
CTO, Executive Partner, and Co-founder of Tenjin Tech Company. Ankit oversees all engineering for Kinsho AI and designed the APR score engine, multilingual entity unification, and real-time AI model analysis systems.
Operating loop
The Measure → Diagnose → Plan → Verify loop
Measure → Diagnose → Plan → Verify. Running this cycle continuously is the only reliable way to actually improve brand presence in AI search.
01 — Measure
Accurately capture the current state of your brand in ChatGPT, Gemini, and Perplexity. Full support for Japanese triple-script variations ensures no brand mention is missed.
02 — Diagnose
Structurally identify why your brand is not being cited. Surface citation gaps, competitive losses in comparison queries, and per-model perception differences.
03 — Plan
Receive a clear step-by-step action plan: which sources to earn citations from, what content to create, and which channels have the highest impact on AI answers.
04 — Verify
After implementing actions, track whether AI answers actually changed. All improvements feed back into the next measurement cycle and compound over time.