AI Visibility Scorecard
irif.tech · Travel & Hospitality
Borderline visible. AI bots can crawl IRIF, 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
#309,588 of 457,104 in Travel & Hospitality for AI visibility
13
AI Naming Predictability
iRarely named · 13/100
4
AEO Visibility
iBorderline · 4.1/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"During the forum, experts from different countries will present proven solutions, best practices and innovations that are already delivering real results worldwide." That is how IRIF 2025 introduces itself. When AI engines look at it, they find little to work with. It scores 4.1 out of 10.
Our crawl found structured data on the page (WebPage, ImageObject, BreadcrumbList), a sitemap and a readable heading structure. It is missing an llms.txt file.
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
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
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 4.1/10, IRIF is crawlable but under-signaled - fixable, and the signals above are where to start.
Who is IRIF 2025 aimed at?
Those who want to improve the energy efficiency of their businesses. Those who want to increase the life cycle of their investments. Those who want to predict failures and breakdowns of their equipment. Those who want to modernise their lubrication processes. Those who want to organize an efficient maintenance program using new technologies. Supervisors, managers and maintenance professionals.
Is this your brand?
The exact fixes for IRIF
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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 October 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/irif-tech
Cite this score: Engagemii (2026). "AEO Score for IRIF." Retrieved from https://engagemii.com/aeo/brands/irif-tech
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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