LLMrank

AI visibility report

AI visibility for zemenmovers.com

Overview

Comprehensive report

zemenmovers.com

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.

Zemen Movers operates a full‑service relocation business based in Addis Ababa, offering residential and commercial moving, professional packing and unpacking, short‑ and long‑term storage, and post‑move cleaning. The company serves private households that need to relocate homes as well as businesses requiring office moves with minimal downtime. Its services are positioned within the moving and logistics sector, addressing the need for coordinated transport, handling, and preparation of personal or office assets. By providing insured, on‑time delivery and transparent pricing, Zemen Movers aims to simplify the transition process for customers across Ethiopia.

The area you and these competitors operate in: crownrelo.com, santafecare.com, ags.com, agsmovers.com, allied.com.

You are early, not behind

AI has not learned your brand yet - and that is fixable

Most sites start exactly here: the AI models simply have not learned who you are yet. This is not a penalty, it is an open lane. Right now crownrelo.com and a few others own the answers in your space - the work below is how you start showing up alongside them.

Your first wins

High impact FAQ / questions and answers
Medium impact Published/updated dates
Medium impact llms.txt present

See the full checklist

Low confidence: AI models do not clearly recognise this brand yet and disagree on who you are, so the numbers below are preliminary. Paste your site so we can confirm them. Paste your site for an accurate report.

0-100. How well AI models know and mention you - your presence in neutral buyer answers plus overall brand recognition.

0.0/100

AI Visibility Low confidence

Whether AI knows and mentions you.

Estimated from brand recognition only - paste your site to confirm.

Share of best-practice (AEO) signals in place for AI visibility. Only scored when we can read your site.

60.0%

AI Readiness

Whether your site is technically optimised for AI.

Rises as you add the checklist signals - the groundwork that lets AI recognize you.

See the checklist

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%)

Two scores, two different things

AI Readiness is how well your own website is built for AI to read and cite - something you control. AI Visibility is whether AI actually knows and recommends you - shaped mostly by the rest of the web. You can be fully ready and still under-recommended; that gap is where the opportunity is.

Not ranked yet - no mentions on neutral buyer questions

Where you show up across AI models

Preliminary - the models guessed these from the name alone. Paste your site to confirm.

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.

Recognition was not measured for this older analysis. Re-run it to see which models recognize you.

Some models answered but named no brands in the neutral questions (anthropic/claude-sonnet-4.6, google/gemini-2.5-flash, x-ai/grok-4.3, z-ai/glm-5.1) - their column is all zeros, which is a real result, not an error.

Brand	Mentions	deepseek/deepseek-v4-pro	openai/gpt-5.5
Your brand Zemen Movers	0	0	0
crownrelo.com AI	2	1	1
santafecare.com AI	2	1	1
ags.com AI	1	0	1
agsmovers.com AI SERP	1	1	0
allied.com AI	1	0	1
alliedpickfords.com AI	1	1	0
dhl.com AI	1	0	1

Show all 7 competitors

Not satisfied? Change competitors

Checklist

Readiness score: 60.0%

Priority actions

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

High impact FAQ / questions and answers
Medium impact Published/updated dates
Medium impact llms.txt present
Medium impact Article schema (JSON-LD)
Medium impact Author (byline/markup)
Medium impact HowTo schema (JSON-LD)

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)

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

https://zemenmovers.com

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

## Notes
Written for AI assistants: plain facts about Zemenmovers, 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)

✗ 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 Zemenmovers do?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Answer in one or two plain sentences a model can quote directly."
      }
    },
    {
      "@type": "Question",
      "name": "Who is Zemenmovers 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": "Zemenmovers"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Zemenmovers",
    "logo": {
      "@type": "ImageObject",
      "url": "https://zemenmovers.com/logo.png"
    }
  },
  "datePublished": "YYYY-MM-DD",
  "dateModified": "YYYY-MM-DD",
  "mainEntityOfPage": "https://zemenmovers.com/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)

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
✓ Meta description
✓ 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>).