> For the complete documentation index, see [llms.txt](https://documentation.pushly.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.pushly.com/platform/journeys/sending-recommended-notifications.md). # Sending Recommended Notifications Provides a list of the recommendation integrations available in the Pushly platform Recommended Notifications are personalized push notifications that are automatically generated and sent to users based on their individual interests and past behavior. They leverage algorithms and user data to deliver relevant content recommendations, such as articles or products, without manual intervention. ## Recommendation Integrations ### BlueConic To setup new recommended notifications using the BlueConic integration, please follow the steps listed here - [Configuring your BlueConic Recommended Notification](/platform/platform-integrations/blueconic/using-blueconic-in-campaigns.md) ### Pushly AI Curator Pushly AI Curator scores every article you've published inside a window you choose against what the targeted audience actually reads, and sends the single best one. [Learn how to configure Pushly AI Curator](/platform/journeys/pushly-ai-curator.md). ### Feed [Choose an existing Feed as the source](/platform/journeys/sending-feed-notifications.md) to send that Feed's next eligible article from a journey step, without waiting for the Feed's own schedule. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://documentation.pushly.com/platform/journeys/sending-recommended-notifications.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.