arobis.ai
AI Visibility Report

codingfleet.com

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Overall score
Getting there

Readiness by engine

Estimated
ChatGPT61
Gemini70
Claude69
Perplexity76

Estimated readiness derived from your site’s signals — not live queries to each model.

Summary

CodingFleet.com has a solid foundation for AI visibility, with accessible content and proper meta tags. However, there are critical issues with structured data and the lack of an llms.txt file that need to be addressed for improved performance across AI engines.

What we checked

✓AI crawlers can access the site
!No structured data (JSON-LD) found
!No Organization schema describing the brand
!No llms.txt file
✓Title tag present (37 chars)
✓Meta description present (115 chars)
✓Single clear H1 heading
✓Homepage content depth: ~1944 words
✓Brand / About information present
✓Served over HTTPS
✓Homepage responded in 1040 ms

Your fix plan

3 prioritized fixes — most impactful first.

  1. Add JSON-LD structured data
    Why: Lack of structured data can hinder AI crawlers from understanding the content context, impacting visibility in search results.
    How: Implement JSON-LD structured data markup on the homepage to provide clearer context about the site's offerings and improve AI understanding.
    High
  2. Define your brand with Organization schema
    Why: Without Organization schema, AI crawlers may not recognize the brand identity, which can negatively affect brand visibility and recognition in search results.
    How: Add Organization schema markup to define the brand, including details like name, logo, and contact information, to enhance AI understanding of the brand.
    Medium
  3. Publish an llms.txt file
    Why: Not having an llms.txt file limits AI crawlers' ability to access a curated summary of the site, which is essential for better indexing and visibility.
    How: Create and publish a standalone /llms.txt file that summarizes the site’s offerings in markdown format to enhance AI access and understanding.
    Medium
Take it further

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