AI Visibility Scorecard
FocusTone Lab
focustonelab.com · Other
Borderline visible. AI bots can crawl FocusTone Lab, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 1 times
Claude
4
AEO Visibility
iBorderline · 4/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
About FocusTone Lab
from our crawl and measurement
"사람마다 집중이 가장 잘 되는 주파수는 다릅니다. 주의력 과제로 어느 대역에서 당신의 점수가 오르는지 측정합니다. 효과가 없으면 없다고 알려드립니다." That is how FocusTone Lab 나만의 집중 주파수 찾기 introduces itself. When AI engines look at it, they find little to work with. It scores 4.0 out of 10.
Our crawl found a sitemap and a readable heading structure. It is missing structured data describing the business and an llms.txt file.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
What this score means
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 4/10, FocusTone Lab is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
방금 그 소리, 얼마나 몰입됐나요?
클릭 점수와 따로 기록합니다. 수행이 아니라 느낌을 직감으로 고르세요. 1 2 3 4 5 6 7 전혀 안 됨완전 몰입 구간 1 / 7 완료
어느 쪽이 더 집중되나요?
A눌러서 듣기 B눌러서 듣기 A와 B를 번갈아 들어보세요. 원하는 만큼 다시 들어도 됩니다. A가 낫다 비슷하다 B가 낫다 근거와 정직 주장하지 않습니다.당신에게서 측정합니다. 이 사이트가 무엇을 근거로 삼았고, 무엇을 아직 모르는지, 그리고 왜 "효과가 있다"고 말하는 대신 당신 자신에게 직접 재보라고 하는지 그대로 적었습니다. 전제는 진짜입니다 — 개인마다 고유 주파수가 있다 개인알파주파수(IAF, Individual Alpha Frequency)는 대략 7–13Hz 사이에서 사람마다 다른, 안정적인 특질값입니다1. "사람마다 집중이 잘 되는 고유한 리듬이 있다"는 출발점 자체는 근거가 있습니다. 얼마나 다른지도 숫자가 있습니다.
Is this your brand?
The exact fixes for FocusTone Lab
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for FocusTone Lab.
Source & Attribution
Scored by Engagemii on August 12, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/focustonelab
Cite this score: Engagemii (2026). "AEO Score for FocusTone Lab." Retrieved from https://engagemii.com/aeo/brands/focustonelab
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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