> For the complete documentation index, see [llms.txt](https://docs.fact-finder.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fact-finder.com/integration/campaign-specific-integration/integrating-advisor-campaigns.md). # Integrating Advisor Campaigns These are campaigns where the `flavour` attribute is set to `ADVISOR`. Advisor campaigns contain two sections in the response: * The first section contains the active questions and associated answers. * The second section contains the full question-and-answer tree. The active questions are the ones currently shown to the shop visitor. Because the campaign is structured as a tree, the active section initially contains the first question in that tree. When the user selects an answer, the follow-up questions below that answer are returned as active questions. ### REST interface The REST API documentation is part of the search application and is available at \[your NG server]/fact-finder/swagger-ui.html. You can also access it here: Swagger Link: The relevant methods are documented under `records`. In addition to the parameter documentation, you can test requests and inspect the results directly. Because the documentation is built with Swagger, you can also use Swagger Codegen to generate a client. Please use the `campaign` method to retrieve campaigns. --- # 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://docs.fact-finder.com/integration/campaign-specific-integration/integrating-advisor-campaigns.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.