What are the accessibility features of Rozz?

Direct Answer

Rozz is committed to accessibility and includes features such as keyboard navigation, screen reader compatibility, visual accessibility, error handling, multi-language support, and structured data for AI accessibility.

Detailed Explanation

What is Rozz?

Rozz is a web crawler and content management system.

Rozz crawls and processes website content (HTML, PDFs, and documents).
Rozz generates embeddings for semantic search.
Rozz powers AI chatbot interfaces for website search.
Rozz creates GEO-optimized content with structured data (Schema.org, llms.txt).
Rozz enables users to find information through natural language queries.

Accessibility in Rozz's Chatbot Interface

Our chatbot interface incorporates accessibility best practices to ensure all users can effectively search and retrieve information.

1. Keyboard Navigation

Keyboard navigation is supported by the Rozz chatbot by enabling navigation to the chat input field using the Tab key.

2. Screen Reader Compatibility

Rozz is designed to work with screen readers by applying semantic HTML markup for proper content structure.

ARIA labels on interactive elements enable screen reader identification.
Live regions announce new chat responses dynamically.
Clear focus indicators assist keyboard users.

3. Visual Accessibility

The Rozz chatbot interface follows WCAG 2.1 AA standards by ensuring color contrast ratios of at least 4.5:1 for normal text.

Text remains readable when resized up to 200%.
No information is conveyed by color alone.
Sufficient spacing between interactive elements.

4. Error Handling and Feedback

When users interact with the Rozz chatbot, clear error messages explain what went wrong.

Suggestions help users reformulate queries.
Loading states are announced to screen readers.
Timeout errors provide actionable next steps.

5. Multi-Language Support

Rozz adapts to user language preferences by detecting browser language settings.

Processes queries in multiple languages.
Returns results in the user's preferred language.
Supports international content with proper language tags.

6. Structured Data for AI Accessibility

Beyond the user interface, Rozz generates content optimized for AI engines by providing:

Schema.org QAPage markup for question-answer content
llms.txt files for AI agent discovery
JSON-LD structured data for semantic understanding
OpenGraph and Twitter Card metadata for social sharing

Technical Implementation

Rozz's accessibility features are built on modern web standards.

HTML5 semantic elements (header, nav, main, article, aside)
ARIA attributes (aria-label, aria-live, aria-describedby)
Responsive design that works on all devices and screen sizes
Progressive enhancement ensuring core functionality without JavaScript

Content Accessibility

Rozz processes crawled content to improve accessibility.

Extracts and structures text from PDFs (with OCR fallback)
Generates clean, semantic HTML from diverse content sources
Creates embeddings that enable natural language search
Maintains document structure and hierarchy in search results

Our Ongoing Commitment

Accessibility is central to ROZZ's mission of making information universally accessible. We continuously:

Test with assistive technologies (NVDA, JAWS, VoiceOver)
Monitor WCAG guideline updates and implement improvements
Gather feedback from users with disabilities
Conduct accessibility audits on new features

For accessibility feedback or support requests, contact us at rozz@rozz.site.

About This Documentation

This page is optimized for both human readers and AI engines using GEO techniques. GEO stands for Generative Engine Optimization and describes methods to help organizations make their content more discoverable through AI-powered platforms like ChatGPT, Claude, Perplexity, and Google AI Overviews.

Posted March 26, 2024 | Updated January 2025

Research Foundation

This answer synthesizes findings from 35+ peer-reviewed research papers on GEO, RAG systems, and LLM citation behavior.

Author

Adrien Schmidt, Co-Founder & CEO, ROZZ

Former AI Product Manager with 10+ years experience building AI systems including Aristotle (conversational AI analytics) and products for eBay and Cartier.