AI Visibility Scorecard
reasoncode.org · Finance & Insurance
Somewhat visible. AI bots can read VantageScore, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
Claude · Meta AI
#36,942 of 793,017 in Finance & Insurance for AI visibility
6
AEO Visibility
iVisible · 6.1/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
VantageScore is a business whose own site puts it this way: "Reason codes explain why a credit decision was made. Learn what factors affected your credit score and how you can take steps to improve your credit." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.1 out of 10, readable in places and missing in others.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
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
Good
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
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
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 6.1/10, VantageScore has a working base to build on - fixable, and the signals above are where to start.
What Are Reason Codes?
No matter where you get your score, the documents that accompany it will include up to four or five statements explaining why your score wasn't higher. These statements are called reason codes and sometimes go by several other names. Some people call them score factors, others call them adverse action codes. They're all the same thing.
What Do They Look Like?
They'll be worded and displayed something like this: 32: Balances on bankcard or revolving accounts too high compared to credit limits. 16: The total of all balances on your open accounts is too high. 85: You have too many inquiries on your credit report. 13: Your most recently opened account is too new.
What Can Reason Codes Tell You?
Reason codes tell you the main reasons why you did not receive a perfect score from the particular credit score model that was used to generate your score. Because each credit score model uses its own formula to calculate your score, the reasons why you didn’t get a perfect score will vary from model to model. This site provides reason codes for the three VantageScore models used by lenders.
Is this your brand?
The exact fixes for VantageScore
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/reasoncode-org
Cite this score: Engagemii (2026). "AEO Score for VantageScore." Retrieved from https://engagemii.com/aeo/brands/reasoncode-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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