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AI Visibility Scorecard
kitlay.com · Technology
At 2.2/10, Next.js Supabase Boilerplate 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
#2,726,607 of 2,828,978 in Technology for AI visibility
2.2
/10
AEO Score
from our crawl and measurement
Next.js Supabase Boilerplate describes itself simply: "A modern Next.js 16 boilerplate with Supabase authentication and Google Tag Manager analytics." To AI engines like ChatGPT and Perplexity it is close to invisible, scoring 2.2 out of 10.
Under the hood there is a sitemap, but the score is capped by what is missing: structured data describing the business, an llms.txt file, a heading structure that lays out what it offers.
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
3
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
1
Experience, Expertise, Authority, Trust markers.
Technical AEO
5
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
4
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 2.2/10, Next.js Supabase Boilerplate is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for Next.js Supabase Boilerplate
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech buyers are the most research-intensive shoppers on the internet.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/kitlay
Cite this score: Engagemii (2026). "AEO Score for Next.js Supabase Boilerplate." Retrieved from https://engagemii.com/aeo/brands/kitlay
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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