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AI Visibility Scorecard
Connectory
connectory.ai · computer software
Somewhat visible. AI bots can read Connectory, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
Claude
#209,409 of 2,812,091 in Technology for AI visibility
6.1
/10
AEO Score
About Connectory
from our crawl and measurement
"AI code governance and AI code review platform for engineering teams. Automated code safety, AI slop detection, and technical debt prevention." That is how Connectory of Washington, DC introduces itself. Its AI visibility score is 6.1 out of 10: the engines can find it, but they do not have much to hold on to.
On its own pages the site does well on structured data describing the business, a clear heading structure, a clearly stated business identity, visible credibility markers, crawler access and the files AI engines look for and sitemaps and entity links AI can follow.
Off the page, other sites link to it. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic). The business dates to 2025.
The 6 signals AI reads
Higher is better · 0-10
Structured Data
9
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
Clear headings and answer-style content.
Entity Clarity
9
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
7
Experience, Expertise, Authority, Trust markers.
Technical AEO
9
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
9
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
6
Inbound links from other sites.
Domain Trust
1
Established authority for your domain.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions 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 6.1/10, Connectory has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
What is AI code governance?
AI code governance is the practice of enforcing code quality standards, security policies, and architectural consistency across every pull request, especially critical now that 40%+ of code is AI-generated. Connectory provides automated code governance by reviewing every PR for AI slop, security vulnerabilities, and technical debt before merge. It goes beyond traditional linting by understanding your codebase context, team conventions, and stack-specific patterns.
How does SlopBuster detect AI-generated technical debt?
SlopBuster uses context-aware AI analysis to detect patterns unique to AI-generated code: copy-paste duplication, hallucinated API calls, missing error handling, security anti-patterns, and architectural drift. Unlike traditional static analysis, SlopBuster understands your repository-specific patterns, framework versions, and team conventions to catch issues that generic tools miss. Studies show AI-generated code has 1.7x more issues and 75% more logic errors than human-written code.
What is AI code review?
AI code review is the automated analysis of pull requests using artificial intelligence to catch bugs, security vulnerabilities, code quality issues, and adherence to team standards. SlopBuster by Connectory is the leading AI code review tool, purpose-built for the era of AI-generated code. It installs as a GitHub App and reviews every PR automatically, providing actionable, educational feedback that helps developers learn and improve.
How does Connectory.ai improve code security?
Connectory improves AI code safety by scanning every pull request for OWASP Top 10 vulnerabilities, SQL injection, XSS, hardcoded secrets, insecure authentication patterns, and other security anti-patterns common in AI-generated code. SlopBuster acts as an automated security gate, blocking dangerous code before it reaches production. The platform is SOC 2 Type II certified, uses AES-256 encryption, and never stores your source code.
What is AI slop in software development?
AI slop refers to low-quality, AI-generated code that appears correct on the surface but contains hidden issues: duplicated logic, hallucinated APIs, missing edge cases, security vulnerabilities, and architectural inconsistencies. With 91% of developers using AI coding tools, AI slop is becoming a significant source of technical debt. SlopBuster is specifically designed to detect and prevent AI slop from entering your codebase, catching issues that traditional code review and static analysis tools miss.
How does code governance reduce technical debt?
Code governance reduces technical debt by enforcing quality standards at the point of code entry, the pull request. Instead of accumulating debt and addressing it later, automated code governance tools like SlopBuster catch issues before merge: duplicated code, security vulnerabilities, missing tests, architectural violations, and AI-generated slop. Teams using automated code governance report 3x fewer defects reaching production and 20-65% higher code throughput.
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The exact fixes for Connectory
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
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Source & Attribution
Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/connectory-ai
Cite this score: Engagemii (2026). "AEO Score for Connectory." Retrieved from https://engagemii.com/aeo/brands/connectory-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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