#757,751 OF 2,702,784 IN TECHNOLOGY
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AI Visibility Scorecard
circlfi.com · Technology
Somewhat visible. AI bots can read CirclFi, but it is missing the structured signals that push citation rate above competitors.
Monitoring for AI engine activity
In the Engagemii AEO index
#757,751 of 2,702,784 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5.1/10
95
Muse Index Score
iAI agent readiness
Transactable · 95/100
12
AI Adoption
iBasic · 12/100
from our crawl and measurement
CirclFi 13-Model Stock Valuation Engine describes itself simply: "Institutional-grade equity valuation engine. 13 advanced models. 5,856+ US stocks. Updated daily from SEC EDGAR." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.1 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (Organization, WebSite, Product), an llms.txt file for AI models and a sitemap.
Strong · Good · Fair · Weak
Structured Data
Strong
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
Strong
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
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 5.1/10, CirclFi has a working base to build on - fixable, and the signals above are where to start.
How do thirteen valuation models become one fair value?
Each valuation model attacks the same company from a different angle — discounted cash flow, relative, scenario, option-based. The CUCE ensemble then weights all twelve outputs by correlation-unbiased certainty equivalence to produce the consensus intrinsic value in the middle of the dial. Where the models disagree most is where the market is most likely mispricing the stock.
How does CirclFi turn SEC filings into a fair value?
01Ingest & scanEvery trading day the engine pulls SEC EDGAR filings, XBRL financials, market data and FRED macro series for 5,856+ equities. No human in the loop. 02Compute & valueEach stock runs thirteen independent models — Bayesian DCF over projected free cash flow, Monte Carlo, Markov chains and ensemble meta-models — producing confidence-weighted fair values. 03Signal & actThe live terminal opens.
What research is the valuation engine built on?
IV — FOUNDATIONS NOBEL 1997Merton–Black–ScholesOur PWERM model uses Robert Merton's structural credit framework — Nobel Prize, 1997 — to value equity as a call option on firm assets.
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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 20, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/circlfi
Cite this score: Engagemii (2026). "AEO Score for CirclFi." Retrieved from https://engagemii.com/aeo/brands/circlfi
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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