AI Visibility Scorecard
prospero.com · Technology
Somewhat visible. AI bots can read Kaleris, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 6 times
Claude · Meta AI
#102,270 of 2,705,712 in Technology for AI visibility
6
AEO Visibility
iVisible · 6.2/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"Transportation Management Seamlessly manage your carriers, rates, routes, and loads with a solution designed to evolve with your business needs. Talk to." That is how Kaleris of Alpharetta, GA introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.2 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (WebPage, ItemPage, ImageObject) and a readable heading structure. It is missing an llms.txt file and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Strong
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
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
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 6.2/10, Kaleris has a working base to build on - fixable, and the signals above are where to start.
What Challenges Does Kaleris TMS Solve?
Reduce operational complexity Optimize store orders, backhaul and salvage for the best delivery routes while reducing miles driven and trailer utilization. Handle constraints and ensure on-time delivery with dynamic route optimization. Improve asset utilization & cost controls Cost management is tricky when you’re combating fluctuating fuel prices, managing labor costs and trying to cost control.
Is this your brand?
The exact fixes for Kaleris
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for Kaleris.
Scored by Engagemii on August 11, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/prospero
Cite this score: Engagemii (2026). "AEO Score for Kaleris." Retrieved from https://engagemii.com/aeo/brands/prospero
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