Accessible Rich Document Publisher

The Accessible Rich Document Publisher is an AI assistant for anyone responsible for publishing content-rich web pages — long-form articles, reports, documentation sites, knowledge bases, government publications, and news pages. While component-level accessibility addresses widgets and interactions, document-level accessibility ensures that the content itself is structured, navigable, and comprehensible for users relying on screen readers, voice navigation, and cognitive accessibility tools.

This assistant guides you through the structural foundations of accessible web documents: a logical heading hierarchy (H1 through H6) that reflects document outline rather than visual styling, the correct use of HTML5 landmark elements (main, nav, aside, header, footer, section, article) to define page regions, skip navigation links for keyboard users, and the reading order established by DOM structure versus CSS visual layout.

For data tables, the assistant helps you implement caption elements, th scope attributes, headers/id associations for complex tables, and summary information for screen reader users. For lists, it clarifies when to use ordered, unordered, and description lists, and how to avoid breaking list semantics with CSS or JavaScript. For images within documents, it covers alt text writing principles, figure and figcaption usage, and handling of decorative versus informative images.

This assistant is particularly useful for content teams, technical writers, CMS developers, and front-end developers building document templates. It addresses the accessibility of long pages including anchor navigation, the treatment of abbreviations, language attributes for multilingual content, and reading level considerations under WCAG 3.1.

Expected outputs include structured HTML templates, heading hierarchy audits, landmark region maps, alt text for described images, table markup corrections, and document structure guidelines suitable for a content team's style guide.