AI Visibility Scorecard
tradevaultlab.com · Technology
At 2.05/10, TradeVaultLab is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are E-E-A-T Signals, Backlinks and Domain Trust. That is fixable, and the signals below show where to start.
AI engines read this profile 9 times
Meta AI · Parallel
19
AI Naming Predictability
iRarely named · 19/100
Technology average 28
Top 49% of Technology
See what's behind this score →2.05
-
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 →65
Muse Index Score
iAI agent readiness
Transactable · 65/100
Technology average 17
See what's behind this score →0
from our crawl and measurement
"Free trading risk and position size calculator for forex, stocks, crypto and indices. Calculates exact position size from risk %, stop loss and timeframe, validates R:R, scales for drawdown." That is how TradeVaultLab introduces itself. When AI engines look at it, they find little to work with. It scores 2.05 out of 10.
Our crawl found structured data on the page (FAQPage, WebApplication), a sitemap and a readable heading structure. It is missing an llms.txt file.
Strong · Good · Fair · Weak
Structured Data
Fair
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
-
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 2.05/10, TradeVaultLab is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
How to Calculate Position Size?
One formula. Works for every market.The Universal Formula Position Size = Risk Amount ÷ Stop Loss Distance Risk Amount = Account Balance × Risk % That's the whole thing. Everything else - lot sizes, share counts, unit conversions - is just the output expressed in the right format for the instrument.
How Much Should You Risk Per Trade?
"Risk 1% per trade" is a starting point, not a rule. How much you should risk depends on the timeframe and quality of the setup. Higher timeframe trades carry more conviction - fewer setups, higher signal. That justifies more size, up to 3%. Low timeframe trades are noisier. You can be directionally right and still get stopped out. The recommended cap is lower, and for good reason.
What Is a Good Risk-Reward Ratio?
A risk-reward ratio (R:R) describes how much you stand to gain versus how much you stand to lose on a trade. A 1:2 ratio means you risk $100 to make $200. At 1:2, you only need to be right 34% of the time to break even. The calculator uses 2:1 as the minimum threshold for a setup worth considering.
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 November 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/tradevaultlab
Cite this score: Engagemii (2026). "AEO Score for TradeVaultLab." Retrieved from https://engagemii.com/aeo/brands/tradevaultlab
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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