AI Visibility Scorecard
eskerda.com · Technology
Somewhat visible. AI bots can read eskerda.com, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 2 times
Claude · Meta AI
#269,298 of 2,704,685 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.7/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
4
AI Adoption
iBasic · 4/100
from our crawl and measurement
"your daily cup of tea™ Posts Projects Code powered by WP termlove on bullshit metrics June 24, 2026 2 Comments If you use LLM to generate metrics just know that you are running on bullshit." That is how eskerda.com introduces itself. Its AI visibility score is 5.7 out of 10: the engines can find it, but they do not have much to hold on to.
On its own pages the site does well on a clear heading structure, visible credibility markers and sitemaps and entity links AI can follow. It is passable on basic crawler access. What holds it back is a clearly stated business identity and structured data describing the business.
Off the page, other sites link to it and people discuss it in places AI engines read. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
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
Strong
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
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
Fair
Forum and community discussion.
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 5.7/10, eskerda.com has a working base to build on - fixable, and the signals above are where to start.
Looks good, but why?
Most of the time I spend on Citybikes is either working on pybikes or the API but rarely using it, aka eating my own dog food. For a while I thought the API syntax was sufficiently straightforward to not even need an interface for a language. Turns out I was wrong: the v2 syntax of the API has some caveats and having an abstraction over it helps make everything easier and cleaner.
Bien, han pasado dos años. ¿Ha cambiado algo?
La página de BiciMAD sigue mostrando el siguiente ridículo “mapa-imagen”. Los datos sobre localización y disponibilidad de las bases (que son los que realmente importan) siguen sin ser públicos. Ésto es un extracto de la propuesta en el portal de datos de Madrid.
Is this your brand?
The exact fixes for eskerda.com
Which AI engines already crawl you
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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 August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/eskerda
Cite this score: Engagemii (2026). "AEO Score for eskerda.com." Retrieved from https://engagemii.com/aeo/brands/eskerda
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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