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AI Visibility Scorecard
MEGAPAR
adventuspy.com · E-commerce
Somewhat visible. AI bots can read MEGAPAR, but it is missing the structured signals that push citation rate above competitors.
Monitoring for AI engine activity
In the Engagemii AEO index
#173,782 of 605,246 in E-commerce for AI visibility
5.1
/10
AEO Score
About MEGAPAR
from our crawl and measurement
MEGAPAR is a Fernando de la Mora, Central business whose own site puts it this way: "Empresa especializada en Ingeniería de Protección contra Incendios con más de 10 años de trayectoria, líder en protección de grandes riesgos." Its AI visibility score is 5.0 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (Organization, ProfessionalService, WebSite), an llms.txt file for AI models, a sitemap. It also found the gaps that keep answer engines guessing: a heading structure that lays out what it offers.
The 6 signals AI reads
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
8
Clear headings and answer-style content.
Entity Clarity
10
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
1
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
9
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Trust
0
Little domain authority yet.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions found yet.
What this score means
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, MEGAPAR has a working base to build on - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for MEGAPAR
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
The $4.6 Trillion Problem Every E-Commerce Brand Ignores
Here's a number that should keep every e-commerce founder up at night: $4.6 trillion.
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Source & Attribution
Scored by Engagemii on August 12, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/adventuspy
Cite this score: Engagemii (2026). "AEO Score for MEGAPAR." Retrieved from https://engagemii.com/aeo/brands/adventuspy
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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