# What is Alt Text? | Yungle glossary

> Alt text is the written description of an image, read by screen readers and search engines alike.

Source: https://yungle.ai/glossary/alt-text/

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2.  Glossary

Glossary · A

# Alt Text

In plain words

Alt text is a short, written description attached to an image so screen readers can voice it and search engines can understand what the image shows, since neither can visually interpret pixels. Well-written alt text improves accessibility, supports image search rankings, and gives AI crawlers additional context about the page's subject matter.

Example

A team photo gets alt="Five designers reviewing wireframes on a whiteboard". A decorative leaf illustration gets alt="" so screen readers skip it.

Related resources

-   Glossary

    ## Anchor Text

    Anchor text is the clickable, visible words in a hyperlink, and it signals what the linked page is about.

    [See term](https://yungle.ai/glossary/anchor-text)
-   Glossary

    ## Voice Search Optimization

    Voice search optimization tailors content for spoken, conversational queries made to voice assistants.

    [See term](https://yungle.ai/glossary/voice-search-optimization)
-   FAQ

    ## How Do I Optimize My Website for AI Search Engines Like ChatGPT?

    Write clear, self-contained answers to specific questions using structured formatting like headers and lists, build genuine topical authority around your subject area, and make sure your content is easy for AI crawlers to access and parse technically. AI tools like ChatGPT and Perplexity favor content that directly answers a question without requiring the reader to piece it together from a long article. This is the core of AEO, and it overlaps heavily with good traditional SEO practice.

    [See answer](https://yungle.ai/resources?type=faq#how-do-i-optimize-my-website-for-ai-search-engines-like-chatgpt)
-   FAQ

    ## What Is MCP (Model Context Protocol)?

    MCP (Model Context Protocol) is an open standard that lets AI models connect securely to external tools, databases, and business systems in a consistent way, instead of requiring custom integration code for every single connection. It's part of the infrastructure that makes reliable AI agents possible — allowing an AI to safely read your calendar, update your CRM, or search your files without a one-off integration built from scratch each time. It's becoming a common building block behind modern AI development.

    [See answer](https://yungle.ai/resources?type=faq#what-is-mcp-model-context-protocol)

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