AI Visibility Scorecard
Code Climate
blog.codeclimate.com · Technology
Somewhat visible. AI bots can read Code Climate, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 1 times
Claude
#393,228 of 2,704,685 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.5/10
25
Muse Index Score
iAI agent readiness
Basic · 25/100
8
AI Adoption
iBasic · 8/100
About Code Climate
from our crawl and measurement
Blog is a business whose own site puts it this way: "Stay updated with insights on developer productivity, AI-native engineering, and organizational transformation." Its AI visibility score is 5.5 out of 10: the engines can find it, but they do not have much to hold on to.
The gap is on the page itself: the site is missing structured data describing the business, an llms.txt file, a sitemap, which are the first things an answer engine looks for.
The 6 signals AI reads
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
Good
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.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Strong
Forum and community discussion.
Social Mentions
Weak
No social discussion found yet.
What this score means
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 5.5/10, Code Climate has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
What Causes a High Number of Review Cycle?
A high number of Review Cycles in engineering might stem from a combination of challenges that hinder the efficiency of the process. These include differing interpretations of what constitutes "done," misalignment between the expected changes and the actual changes resulting from the review, or conflicting views on the best approach to implement a solution.
Is this your brand?
The exact fixes for Code Climate
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for Code Climate.
Source & Attribution
Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/blog-codeclimate
Cite this score: Engagemii (2026). "AEO Score for Code Climate." Retrieved from https://engagemii.com/aeo/brands/blog-codeclimate
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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