> For the complete documentation index, see [llms.txt](https://sayy-ai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sayy-ai.gitbook.io/docs/aimployee-on-duty/as-link-in-bio.md). # As Link-in-Bio Your Sayy AImployee can act as a full-service Link-in-Bio tool, but smarter. Instead of sending users to a list of static links, you give them a dynamic experience where everything happens in one conversation. #### 🏪 Your Business Without a Website Sayy replaces the need for a traditional website. You can run your entire business, from discovery to checkout, directly through your AImployee. No design tools, no domain setup, no hosting plans. Just one smart link that works like your full storefront. #### 🧠 Smarter Than a Link Tree Unlike traditional link hubs, your AImployee answers questions, handles bookings, sells products, and collects leads within one chat. You are not just sending users somewhere else. You are meeting them where they are and helping them take action immediately. #### ⚡ Real-Time Engagement No one wants to wait for a DM reply. Sayy greets visitors instantly, answers their questions, and guides them toward what they are looking for- whether it is a product, a call, or more information. It keeps the momentum going while you stay hands-off. \ \ 👤 **Works Best For...** Creators, coaches, solo business owners, and micro brands who rely on Instagram, TikTok, or Twitter to drive traffic. If most of your discovery happens through social platforms, Sayy turns that traffic into real engagement and action. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://sayy-ai.gitbook.io/docs/aimployee-on-duty/as-link-in-bio.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.