AI Visibility Scorecard
MathWorks
Borderline visible. AI bots can crawl MathWorks, 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 2 times
Claude · ChatGPT
5
AEO Visibility
iBorderline · 5/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
0
AI Adoption
iNone detected · 0/100
About MathWorks
from our crawl and measurement
"Learn what is static code analysis and how it can be used to improve software quality." That is how Static Code Analysis introduces itself. Its AI visibility score is 5.0 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (Article, FAQPage) and a readable heading structure. It is missing an llms.txt file and a sitemap.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Fair
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
Strong
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
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.
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 5/10, MathWorks is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
What Is Static Code Analysis?
Static code analysis, or static analysis, is a software verification activity that analyzes source code for quality, reliability, and security without executing the code. Using static analysis, you can identify defects and security vulnerabilities that can compromise the safety and security of your application.
Who Should Run Static Code Analysis and Why?
Software developers. Best practices recommend checking for bugs and coding standards as soon as code is written. Errors detected early in the development process are much easier to debug and fix. Software testers. After application code has been integrated, it is recommended to run deep static code analysis on the integrated code to find defects and prove the absence of critical run-time errors.
How to Select a Static Code Analyzer?
There are several tools you can use to perform static code analysis, such as Polyspace® products.
Why Choose Polyspace Products?
Polyspace static code analysis products use formal methods to prove the absence of critical run-time errors under all possible control flows and data flows. The Polyspace product family includes: Polyspace Bug Finder products check C/C++ source code for coding standard violations, find several types of bugs, detect security vulnerabilities, and compute quality metrics such as code complexity metrics.
Is this your brand?
The exact fixes for MathWorks
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.
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Source & Attribution
Scored by Engagemii on August 16, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/static-code-analysis
Cite this score: Engagemii (2026). "AEO Score for MathWorks." Retrieved from https://engagemii.com/aeo/brands/static-code-analysis
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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