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AI Visibility Scorecard
nus-optimizer.com · Other
At 3/10, NUS Timetable Optimizer is close to invisible in AI search today. Most assistants will not cite it when asked about your category - fixable, and the signals below show exactly where to start.
Monitoring for AI engine activity
In the Engagemii AEO index
3
/10
AEO Score
from our crawl and measurement
NUS Timetable Optimizer is a business whose own site puts it this way: "Automagically find the most convenient timetable arrangement for your NUS modules." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.0 out of 10.
The site is missing structured data describing the business, an llms.txt file and a sitemap.
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
0
Clear headings and answer-style content.
Entity Clarity
3
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
0
Experience, Expertise, Authority, Trust markers.
Technical AEO
2
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
2
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
0
No inbound links found yet.
Domain Trust
0
Little domain authority yet.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions found yet.
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 3/10, NUS Timetable Optimizer is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for NUS Timetable Optimizer
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on August 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/nus-optimizer
Cite this score: Engagemii (2026). "AEO Score for NUS Timetable Optimizer." Retrieved from https://engagemii.com/aeo/brands/nus-optimizer
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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