AI Visibility Scorecard
getfancy.ai · Technology
At 2.8/10, FancyAI 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 10 times
Meta AI · Apple Intelligence · Claude · Perplexity
#1,133,808 of 2,706,489 in Technology for AI visibility
0
AI Naming Predictability
iRarely named · 0/100
More likely to be named than 51% of Technology companies
3
AEO Visibility
iNear-invisible · 2.8/10
55
Muse Index Score
iAI agent readiness
Agent-ready · 55/100
12
AI Adoption
iBasic · 12/100
from our crawl and measurement
FancyAI is a Austin, TX business whose own site puts it this way: "The execution layer for AI discovery, measure with ARI, execute across every model, prove influence in your metrics." To AI engines like ChatGPT and Perplexity it is close to invisible, scoring 2.8 out of 10.
Our crawl found structured data on the page (Organization, WebSite, Article), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including Meta AI.
Strong · Good · Fair · Weak
Structured Data
Strong
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
Strong
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
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 2.8/10, FancyAI is crawlable but under-signaled - fixable, and the signals above are where to start.
What to do with this?
If we had to pick three actions: Entity optimization. Build your brand in Wikidata, Google Knowledge Graph, schema.org. Everything else depends on this. Structure for extraction. Tables, numbered lists, 50–150 word passage blocks with statistics. Stop writing longer; start writing better-structured. Go multi-platform. Get on four or more platforms. Reddit, LinkedIn, YouTube, your domain. 2.8× visibility increase.
What does NOT work?
The most consequential negative findings, all from controlled testing: LLMs.txt has negligible impact. Removing it actually improved the SE Ranking model's predictive accuracy. Multiple independent experiments (Dejan AI, others) confirm no measurable lift. FAQ schema markup shows negative correlation. Pages with FAQ schema averaged 3.6 citations vs 4.2 without.
What to measure now?
The metrics shift from click-volume to visibility-share. Three measurements replace the old click-through rate as the leading indicator: Citation frequency — how often your brand is named or linked across AI engine responses for your category prompts.
Is this your brand?
The exact fixes for FancyAI
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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/getfancy-ai
Cite this score: Engagemii (2026). "AEO Score for FancyAI." Retrieved from https://engagemii.com/aeo/brands/getfancy-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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