AI Visibility Scorecard
Sonar
deepsast.com · Technology
Borderline visible. AI bots can crawl Sonar, 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
#1,309,635 of 2,704,390 in Technology for AI visibility
19
AI Naming Predictability
iRarely named · 19/100
Technology average 28
Top 49% of Technology
See what's behind this score →4
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →75
Muse Index Score
iAI agent readiness
Transactable · 75/100
Technology average 17
See what's behind this score →12
About Sonar
from our crawl and measurement
Sonar, based in Geneva, 15, describes itself simply: "Secure AI generated code with SonarQube SAST using precise data flow analysis to catch vulnerabilities, reduce false positives, and scale verification." When AI engines look at it, they find little to work with. It scores 4.0 out of 10.
Our crawl found structured data on the page (Organization, WebPage, SoftwareApplication) and a readable heading structure. It is missing an llms.txt file and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
- Company ·
- Sonar
- Website ·
- deepsast.com
- Industry ·
- Technology
- Location ·
- Austin, TX
- Site status ·
- Live (The website showed an active business site when last checked (Nov 1, 2026).)
- Last scored ·
- Oct 2, 2026
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Strong
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 read your site and name it in answers. At 4/10, Sonar is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
Why can’t application security keep pace with AI-generated code?
AI code volume is outpacing reviewAI-generated code is showing in commits faster than teams can review it. Every one of those lines needs the same verification as code written by hand, but review capacity hasn't scaled anywhere near as fast as commit volume.The exploit window is shrinkingAccording to Google’s M-Trend 2026 report , mean time-to exploit vulnerabilities is now roughly negative seven days.
Why does SAST matter more with AI, not less?
Every AI coding agent needs a verification signal it can trust and act on without a human checking every step. Algorithmic analysis has always been that signal for developers. Now it becomes the same thing for the AI agents writing code.1. A guardrail agents can act onA noisy tool that flags something that isn’t real can send an AI agent chasing a fix that doesn’t exist, sometimes introducing a new bug in the process.
How does SonarQube's SAST work?
SonarQube’s SAST uses algorithmic analysis which traces data from source to sink across files and methods. Rules apply the same way whether a developer or an AI assistant or an AI agent wrote the code. The outcome is findings you can act on, not a stack of maybes. 1. Abstract Syntax Tree & Control Flow GraphSource code is transformed into a structured map of classes, functions, and control flow.
What is SAST, and how does taint analysis improve static code analysis?
Static application security testing (SAST) analyzes source code to identify security vulnerabilities before applications are deployed. SonarQube SAST goes beyond surface-level pattern matching with taint analysis, tracing untrusted data from its source through the application to determine whether it reaches a sensitive operation without proper validation or sanitization.taint analysis
How does taint analysis reduce security blind spots?
Taint analysis connects the dots across methods, classes, and files to reveal unsafe data flows that might otherwise appear harmless in isolation. By showing how untrusted input travels through the application and where it reaches a sensitive sink, SonarQube helps developers understand the vulnerability path and remediate it at the right point in the code.benefits
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How to Get Your Company Named by ChatGPT, Gemini, and Claude
When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.
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Source & Attribution
Scored by Engagemii on October 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/deepsast
Cite this score: Engagemii (2026). "AEO Score for Sonar." Retrieved from https://engagemii.com/aeo/brands/deepsast
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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