AI Visibility Scorecard
mergekit.com · Technology
Borderline visible. AI bots can crawl MergeKit, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 1 times
Claude
#1,604,004 of 2,707,519 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4.4/10
25
Muse Index Score
iAI agent readiness
Basic · 25/100
8
AI Adoption
iBasic · 8/100
from our crawl and measurement
MergeKit is a business whose own site puts it this way: "A cloud-based web interface for LLM model fusion. Browse merge recipes, generate config.yaml files, and combine Hugging Face models online, Llama, Mistral, Qwen, and more." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.4 out of 10.
Our crawl found structured data on the page (Organization, WebSite), a sitemap and a readable heading structure. It is missing an llms.txt file.
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
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
Weak
No inbound links found yet.
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 4.4/10, MergeKit is crawlable but under-signaled - fixable, and the signals above are where to start.
What is model merging — and why does it matter?
Model merging is a technique that arithmetically combines the weights of two or more independently fine-tuned large language models into a single unified model — without any additional GPU training. Unlike traditional fine-tuning, merging lets you create a custom LLM without fine-tuning budgets.
Is this your brand?
The exact fixes for MergeKit
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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/mergekit
Cite this score: Engagemii (2026). "AEO Score for MergeKit." Retrieved from https://engagemii.com/aeo/brands/mergekit
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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