AI Visibility Scorecard
equarith.com · Technology
Borderline visible. AI bots can crawl Equarith, 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.
Monitoring for AI engine activity
In the Engagemii AEO index
#1,919,481 of 2,705,024 in Technology for AI visibility
4
AEO Visibility
iNear-invisible · 3.9/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Equarith Symbolic regression software describes itself simply: "Discover compact, inspectable equations from numerical data with Equarith. Work locally, compare accuracy and complexity, and export to your stack." When AI engines look at it, they find little to work with. It scores 3.9 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.
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.
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.
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 3.9/10, Equarith is crawlable but under-signaled - fixable, and the signals above are where to start.
What if your data could explain itself?
Symbolic regression searches for a mathematical rule that connects your inputs to the result you want to understand. 01 vd 207.6 4019.2 6034.8 Start with examples. Give it columns of measurements: speed, temperature, time, cost—or any numerical variables from your problem. 02 +×x²log ƒ(x) It explores equations. The search combines variables and mathematical operations, tests many formulas and keeps the useful ones.
Is this your brand?
The exact fixes for Equarith
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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.
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Scored by Engagemii on September 26, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/equarith
Cite this score: Engagemii (2026). "AEO Score for Equarith." Retrieved from https://engagemii.com/aeo/brands/equarith
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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