What are the considerations for optimizing accessibility in the cleanup of low-quality content within GEO content?

In GEO content optimization, the cleanup of low-quality content needs to simultaneously consider accessibility, ensuring that the content is accurately crawled by generative AI while being effectively accessible to users with different needs. Content structure optimization: Clean up text without logical hierarchy, adopt clear heading levels (such as H1-H6) and paragraph divisions, to facilitate AI in identifying semantic frameworks and allow screen reader users to efficiently locate information. Multimodal content adaptation: Delete low-quality content that only contains images/videos without text descriptions, and supplement concise alternative text (Alt text) to ensure that visually impaired users can understand the content through assistive technologies. Semantic redundancy cleanup: Remove paragraphs with repeated keyword stuffing and no substantial information, retain core semantics, avoid affecting AI's judgment on content themes, and improve the reading experience for users with cognitive impairments. It is recommended to regularly scan content using accessibility testing tools (such as WAVE), focusing on checking details like text contrast and labels of interactive elements, so that GEO content can balance the accessibility needs of all user groups while optimizing AI visibility.