LLMrank

AI visibility report

AI visibility for antxonbenito.es

Overview

AI visibility for

antxonbenito.es

Market: Global (en)

Each model is asked to answer as a buyer in Global, so your visibility reflects your actual market, not a global/US bias.

The entity provides digital publications that compile the author’s social‑media posts and personal reflections into themed e‑books. Its primary offering consists of a square‑format “Twitideas Book,” which aggregates four years of Twitter content, and a separate collection titled “55 reflexiones,” presenting a series of self‑analysis insights. The target audience includes individuals seeking concise, experience‑based ideas for personal development or those interested in the author’s perspective. These products compete in the digital self‑help and personal‑growth publishing space, serving the job of delivering curated, reflective content for readers looking to gain motivation or self‑knowledge.

The area you and these competitors operate in: lulu.com, amazon.com, amazon.es, blurb.com, blookup.com.

0-100. Higher = AI names you more often on neutral buyer questions.

13.3/100

Your AI visibility score

For reference: a strong company in your space scores around 55+, and most land near 38. Few sites are visible everywhere - the checklist below shows your quickest wins.

Share of neutral buyer questions where a model brings you up unprompted.

Not brought up on their own yet

Unprompted mentions in AI answers (0%)

Share of best-practice (AEO) signals in place for AI visibility.

33.3%

Best practice (AEO)

See the checklist

Not ranked yet - no mentions on neutral buyer questions

Where you show up across AI models

Your brand and competitors as rows, AI models as columns. Each cell counts how often they are mentioned.

Ranking is based on neutral buyer questions. We don't count questions that already name you, so it's a fair comparison with competitors.

Your rank is based on how often each brand is named unprompted across the neutral buyer questions. M = the brands compared (you plus your competitors). A model can recognize you and still not name you unprompted, so a 0 here is a visibility gap, not a sign the model does not know you.

Note: some models did not answer every question this run (z-ai/glm-5.1); their column may understate them.

Brand	Mentions	anthropic/claude-sonnet-4.6	deepseek/deepseek-v4-pro	google/gemini-2.5-flash	openai/gpt-5.5	x-ai/grok-4.3	z-ai/glm-5.1
Your brand Antxonbenito	0	0 Knows you - not unprompted	0 Knows you - not unprompted	0 Knows you - not unprompted	0 Knows you - not unprompted	0	0 Knows you - not unprompted
lulu.com AI	3	0	1	1	0	1	0
amazon.com AI SERP	2	0	1	0	0	0	1
amazon.es AI	2	0	1	0	0	0	1
blurb.com AI	2	0	0	0	1	1	0
blookup.com AI	1	0	0	0	1	0	0
chatbooks.com AI	1	0	0	0	1	0	0
designrr.io AI	1	1	0	0	0	0	0
mixbook.com AI	1	0	0	0	1	0	0
mytweetbook.com AI	1	0	1	0	0	0	0
pastbook.com AI	1	0	0	0	1	0	0
shutterfly.com AI	1	0	0	0	1	0	0
tweetbinder.com AI	1	0	0	1	0	0	0
tweetbook.io AI	1	0	1	0	0	0	0
twitprint.com AI	1	0	0	1	0	0	0
typefully.com AI	1	1	0	0	0	0	0

Show all 15 competitors

Not satisfied? Change competitors

Checklist

Readiness score: 33.3%

Priority actions

Do these first - ranked by expected impact on your AI visibility.

High impact FAQ / questions and answers
High impact Organization entity (sameAs)
High impact Structured data (JSON-LD)
Medium impact Article schema (JSON-LD)
Medium impact Author (byline/markup)
Medium impact HowTo schema (JSON-LD)
Medium impact llms.txt present
Medium impact Meta description
Medium impact Published/updated dates
Lower impact Open Graph tags

Crawlability and discovery

Can AI crawlers find and read your site at all? These signals tell language models where your content lives and that they are welcome to read it.

✗ llms.txt present
Add an llms.txt that describes your service for AI crawlers.

llms.txt (place at {base_url}/llms.txt)

# Antxonbenito
> One-line summary of what Antxonbenito does and who it is for.

https://antxonbenito.es

## Key pages
- [Home](https://antxonbenito.es/): what Antxonbenito offers, in brief
- [About](https://antxonbenito.es/about): who Antxonbenito is
- [Contact](https://antxonbenito.es/contact): how to get in touch

## Notes
Written for AI assistants: plain facts about Antxonbenito, kept current.

✓ robots.txt present
✓ sitemap.xml present

Structured data and entity

Machine-readable facts about who you are and what you offer. The clearer your structured data, the more accurately AI can understand and describe you instead of guessing.

✗ Structured data (JSON-LD)
Add schema.org JSON-LD (Organization/Product/FAQ).

Organization schema (JSON-LD)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Antxonbenito",
  "url": "https://antxonbenito.es",
  "logo": "https://antxonbenito.es/logo.png",
  "description": "One or two plain sentences describing what Antxonbenito does and who it is for.",
  "sameAs": [
    "https://www.linkedin.com/company/your-company"
  ]
}
</script>

✗ FAQ / questions and answers
Add an FAQ that answers buyer questions (ideally with FAQPage schema).

FAQ schema (FAQPage JSON-LD)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What does Antxonbenito do?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Answer in one or two plain sentences a model can quote directly."
      }
    },
    {
      "@type": "Question",
      "name": "Who is Antxonbenito for?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Describe your ideal customer in plain language."
      }
    }
  ]
}
</script>

✗ Article schema (JSON-LD)
Mark up articles and guides with Article schema (author, publisher, datePublished).

Article schema (JSON-LD)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your article title",
  "author": {
    "@type": "Organization",
    "name": "Antxonbenito"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Antxonbenito",
    "logo": {
      "@type": "ImageObject",
      "url": "https://antxonbenito.es/logo.png"
    }
  },
  "datePublished": "YYYY-MM-DD",
  "dateModified": "YYYY-MM-DD",
  "mainEntityOfPage": "https://antxonbenito.es/your-article",
  "description": "One or two plain sentences summarising the article so a model can quote it."
}
</script>

✗ HowTo schema (JSON-LD)
Add HowTo schema to guides and step-by-step pages.
✗ Organization entity (sameAs)
Add Organization schema with sameAs links to your official profiles.

Page content and headings

The plain, static content AI actually reads. Clear titles, headings and descriptions in the page source mean models read what you do instead of an empty shell.

✓ Canonical URL
✗ Open Graph tags
Add OG tags for sharing and previews.
✗ Meta description
Write a clear meta description on each page.
✓ Page title
✓ Clear main heading (H1) in the page source

Authorship and freshness

Who stands behind the content and how current it is. Clear authorship and dates are credibility signals AI weighs when it decides whether to trust and cite you.

✗ Author (byline/markup)
State the author with markup (author in JSON-LD, rel=author or meta name=author).
✗ Published/updated dates
Expose published and updated dates in markup (datePublished/dateModified or <time datetime>).