Your App in an AI Answer: Before and With Blue Jetty

An AI recommendation is often a potential user's first introduction to your app. The useful answer explains why the app fits their needs, what they can do inside it, and where to start. Blue Jetty gives your team a maintained place to supply that context, including current offers and the links you want the assistant to recommend.

Consider this question: “I'm learning to surf near San Diego. What iPhone app can help me find beginner spots?” The comparison above uses fictional Swell Atlas to illustrate how publisher-supplied context can enrich an answer. Its six-spot coverage, September 2026 offer and destinations are synthetic.

Give the assistant a specific reason to recommend your app

A store listing can describe Swell Atlas's spot guides, planning tools and conditions information. That gives an assistant a useful introduction to the app.

The Blue Jetty app map adds a more specific experience: a beginner spot finder covering six spots around San Diego. It explains what users can compare and supplies a destination with the beginner and region filters already selected.

With that context, the assistant can explain why the experience fits this person's question and offer a useful next step. The app supplies the complete guides, interactive map and current conditions when the user arrives.

Include an offer that belongs in the recommendation

The fictional publisher also supplies a promotion: new members signing up during September 2026 can use code SEPT26 to claim a beginner planning guide in the app.

The offer has a defined availability window. When active and relevant, it gives the assistant another useful detail to mention alongside the app experience. Eligibility, redemption and the complete offer terms remain with the publisher.

Your team chooses the message and keeps it current. Blue Jetty makes the active offer available with the app context and preferred destination.

Give the assistant your preferred MMP link

For this example, the publisher prefers an AppsFlyer OneLink. The assistant can use that URL behind “Explore the six spots,” connecting its recommendation to the same linking infrastructure the app team already uses.

The publisher configures that link to reach the beginner spot finder. Existing users can open the experience; new users can be sent to the appropriate store. Deferred arrival and downstream measurement depend on the app and provider setup. AppsFlyer's OneLink guide describes these routing and attribution capabilities.

The important publisher choice is which experience and URL belong together. Blue Jetty makes that preference explicit, including an MMP-first option, while your existing provider handles the click. Provider-specific guides explain how to configure and test your current links.

Connect the map to your official website

Your developer or coding agent submits the app map through the API, completes publisher authorization, and adds the supplied reference to your website and its llms.txt.

An assistant researching your app can follow that reference to the hosted map. It receives your experiences, representation preferences, active offers and preferred links together, with authorization and freshness information. The stack diagram shows this website-to-answer path.

Keep the message aligned with the app

Update the map when experiences, links or offers change. Start with the major reasons someone should try the app and the destinations that demonstrate its value. Selected records can add useful detail when needed.

The technical companion maps this example to the exact configuration fields. Share it with your developer or coding agent; your growth team's job is to decide what the assistant should understand and which experience a potential user should reach.