AI Visibility Scorecard
vegametric.com · Technology
At 1.34/10, Vega Metric is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Structured Data, E-E-A-T Signals and Backlinks. That is fixable, and the signals below show where to start.
AI engines read this profile 2 times
Claude
Top 50% in Technology for AI visibility
7
AI Naming Predictability
iRarely named · 7/100
Technology average 28
Top 80% of Technology
See what's behind this score →1.34
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →5
0
from our crawl and measurement
Vega Metric describes itself simply: "A free educational tool for estimating option vega exposure and understanding implied volatility sensitivity." When AI engines look at it, they find little to work with. It scores 1.34 out of 10.
Our crawl found structured data on the page (WebApplication), a sitemap and a readable heading structure. It is missing 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
Fair
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
-
Not yet measured.
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 read your site and name it in answers. At 1.34/10, Vega Metric is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
What is a vega metric?
A vega metric is a way to quantify how much an option position may gain or lose when implied volatility changes. While vega is usually shown at the individual option level, traders and investors often think about vega across an entire position or portfolio. Vega is an option Greek. It measures sensitivity to implied volatility. A vega metric can be used to compare volatility exposure across positions.
How to use the Vega Exposure Score?
Enter the vega value for the option. Enter the number of contracts. Confirm the contract multiplier. Enter the implied volatility move you want to test. Select whether the position is long or short options. Enter the portfolio value. Click Calculate.
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.
Continue reading in your free Engagemii portalSign up free to read the full article and get your AEO fix list for Vega Metric.
Scored by Engagemii on November 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/vegametric
Cite this score: Engagemii (2026). "AEO Score for Vega Metric." Retrieved from https://engagemii.com/aeo/brands/vegametric
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
Powered by Engagemii - The Answer Engine Optimization (AEO) Platform