AI Visibility Scorecard
kelevest.com · Technology
Borderline visible. AI bots can crawl Kelevest, 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.
AI engines read this profile 1 times
Claude
#1,863,391 of 2,705,019 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4/10
50
Muse Index Score
iAI agent readiness
Transactable · 50/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Kelevest is a business whose own site puts it this way: "Free ETF DCA calculator to backtest a Dollar-Cost Averaging strategy on 4,500+ ETFs using real historical prices." When AI engines look at it, they find little to work with. It scores 4.0 out of 10.
Our crawl found structured data on the page (WebApplication, FAQPage), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
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
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 4/10, Kelevest is crawlable but under-signaled - fixable, and the signals above are where to start.
How Does It Work?
Select an asset — search for any ETF or stock by ticker (e.g. VOO, QQQ, VWCE) or by name. Set a date range — choose the start and end date for your backtest. The longer the period, the more meaningful the results. Configure the investment — enter the amount you would invest each period and an optional initial lump-sum capital. Pick a frequency — daily, weekly, or monthly.
What Do the Metrics Mean?
Total Invested The total amount of money you put in — your initial capital plus all periodic contributions over the selected period. This is your cost basis. Portfolio Value The total market value of all your accumulated shares at the final price, after subtracting the expense ratio drag. This is what your portfolio would be worth at the end of the period.
Why Use Dollar-Cost Averaging?
DCA removes the psychological burden of trying to find the perfect entry point. Because you invest the same amount regardless of price, you naturally accumulate more shares during market dips and fewer during peaks — reducing your average cost over time.
Is this your brand?
The exact fixes for Kelevest
Which AI engines already crawl you
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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 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/kelevest
Cite this score: Engagemii (2026). "AEO Score for Kelevest." Retrieved from https://engagemii.com/aeo/brands/kelevest
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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