# Generated Responses ## Overview #### What are Generated Responses? Responses created by the LLM model using your website, feeds, or documented source data. ## Key Things to Know * Since responses are generated, you no longer need to craft text responses yourself; however, you will need to ensure that provided data remains up-to-date and relevant * Each response is pre-moderated on offensive language or hallucinations * Enrichments cannot be added directly to documented or web-scraped data that creates generated responses ## Create/Update Generated Responses To learn more about creating/updating generated responses, click one of the cards below to get started!
Web-Scraped DataData pulled from your website through our web-scraping tool to generate responsesweb scraped header.pngweb-scraped-data
Documented DataData pulled from uploaded documents in the dashboard to generate responsesdoc data header.pngdocumented-data
Enrich ResponsesEnrich your generated responses with buttons, quick replies or imagesGenerated Responses- Header.pngenrich-generated-responses
--- # Agent Instructions: 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: ``` GET https://docs.satisfilabs.com/resource-center/ai-agent-engine/manage-your-content/response-types/generated-responses.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.