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AI Visibility Scorecard
diffray.ai · Technology
Somewhat visible. AI bots can read diffray, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 9 times
Meta AI · Claude · Apple Intelligence · ChatGPT Search
#512,293 of 2,661,989 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5.4/10
100
Muse Index Score
iAI agent readiness
Transactable · 100/100
17
AI Adoption
iBasic · 17/100
from our crawl and measurement
diffray is a business whose own site puts it this way: "Multi-agent AI code review platform that deploys specialized agents for security, performance, architecture, and consistency checks." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.4 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (SoftwareApplication, Organization, WebSite), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 5 times in our tracking, including ClaudeBot (Anthropic), Applebot (Siri) and OAI-SearchBot (OpenAI).
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
6
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
4
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
9
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Authority
1
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
0
No community discussion yet.
Social Mentions
0
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 5.4/10, diffray has a working base to build on - fixable, and the signals above are where to start.
What makes diffray different from other AI code review tools?
diffray uses multi-agent intelligence instead of single-model AI. Multiple specialized agents work together - Security Agent, Performance Agent, Architecture Agent, and Consistency Agent - each expert in their domain. This coordinated approach reduces false positives by 87% and catches 3x more real bugs compared to traditional single-agent tools like GitHub Copilot or CodeRabbit.
How does multi-agent AI code review work?
Multi-agent AI code review deploys specialized agents that work in parallel, each focused on a specific domain: security vulnerabilities, performance bottlenecks, architectural patterns, and code consistency. Unlike single-model approaches that suffer from context dilution, each agent maintains deep expertise in its area. Research shows this approach improves bug detection by 3x while reducing noise.
Is diffray free for open source projects?
Yes, diffray is completely free forever for open source projects. We support the open source community with full access to our multi-agent code review platform, including all specialized agents, unlimited reviews, and priority support.
What programming languages does diffray support?
diffray supports all major programming languages including TypeScript, JavaScript, Python, Go, Rust, Java, C#, Ruby, PHP, and more. The multi-agent system is language-agnostic and adapts its analysis to language-specific patterns and best practices.
How does diffray integrate with GitHub?
diffray integrates seamlessly with GitHub through a GitHub App. Once installed, it automatically reviews every pull request, posting actionable comments directly on the PR. Setup takes less than 2 minutes with no configuration required. Enterprise teams can also use diffray CLI for local reviews before pushing code.
What is the difference between diffray and CodeRabbit or GitHub Copilot?
While CodeRabbit and GitHub Copilot use single-model AI that can hallucinate and produce false positives, diffray employs multi-agent intelligence where specialized agents cross-validate findings. This results in 87% fewer false positives. Additionally, diffray provides full codebase awareness, custom rule support, and agent memory that learns from your team's patterns.
Can diffray detect security vulnerabilities?
Yes, diffray's Security Agent is specifically trained to detect OWASP Top 10 vulnerabilities, injection attacks, authentication flaws, and sensitive data exposure. It analyzes code in context of your entire codebase, reducing false positives while catching real security issues that static analysis tools miss.
How much does diffray reduce code review time?
According to our customer data, teams using diffray reduce PR review time by 73% on average - from 45 minutes to 12 minutes per week. This is because diffray's multi-agent system produces 87% fewer false positives, so developers spend time on real issues instead of filtering noise.
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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 July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/diffray-ai
Cite this score: Engagemii (2026). "AEO Score for diffray." Retrieved from https://engagemii.com/aeo/brands/diffray-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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