AI Visibility Scorecard
raulliracity.com · Food & Beverage
At 2.5/10, Raul Lira is close to invisible in AI search today. Most assistants will not cite it when asked about your category - fixable, and the signals below show exactly where to start.
AI engines read this profile 3 times
Apple Intelligence · Claude
#1,315,976 of 1,393,425 in Food & Beverage for AI visibility
3
AEO Visibility
iNear-invisible · 2.5/10
0
Muse Index Score
iAI agent readiness
Basic · 0/100
0
AI Adoption
iNone detected · 0/100
from raulliracity.com
Portfolio Cityscape Windows Constructions About Contact Menu Raul Lira Portfolio Cityscape Windows Constructions About Contact × My series of photographs expand into the downtown San Francisco city environment.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Weak
Clear headings and answer-style content.
Entity Clarity
Weak
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
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Weak
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 2.5/10, Raul Lira is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for Raul Lira
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ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/raulliracity
Cite this score: Engagemii (2026). "AEO Score for Raul Lira." Retrieved from https://engagemii.com/aeo/brands/raulliracity
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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