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AI Visibility Scorecard
mobilepul.com · Technology
Borderline visible. AI bots can crawl Marikh Pay, 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.
Monitoring for AI engine activity
In the Engagemii AEO index
#2,422,098 of 2,832,205 in Technology for AI visibility
3.2
/10
AEO Score
from our crawl and measurement
"Through research, analysis, and close collaboration with clients, we formulate creative strategies to identify problems and offer engaging solutions." That is how Marikh Pay introduces itself. When AI engines look at it, they find little to work with. It scores 3.2 out of 10.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
7
Clear headings and answer-style content.
Entity Clarity
4
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
5
Experience, Expertise, Authority, Trust markers.
Technical AEO
4
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
6
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
0
No inbound links found yet.
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.
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 3.2/10, Marikh Pay is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for Marikh Pay
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech buyers are the most research-intensive shoppers on the internet.
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Scored by Engagemii on August 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mobilepul
Cite this score: Engagemii (2026). "AEO Score for Marikh Pay." Retrieved from https://engagemii.com/aeo/brands/mobilepul
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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