Already investing in GEO? Give AI more app context.

You’ve invested in helping AI find your app. The next question is what it finds.

You may already be answering common questions on your website: What does the app do? Who is it for? Does it offer the feature someone needs?

Those answers matter. Blue Jetty adds a structured app map alongside them, so your team can publish more useful detail without turning every capability, experience, offer, and destination into another FAQ.

GEO and AMC: what each contributes

GEO—Generative Engine Optimization—is the practice of improving how your brand and content are discovered, understood, and represented in AI-generated answers. It includes making useful website content accessible, answering relevant questions clearly, and evaluating how AI systems describe your product.

AI Mobile Context (AMC) is publisher-authorized context that tells AI assistants what an app does, when it is relevant, and where to send the user next. Blue Jetty delivers that context in a maintained app packet: capabilities, relevant use cases, experiences, optional offers, and publisher-preferred links.

In practical terms:

• GEO: improve your presence in AI answers through useful, discoverable content and ongoing optimization.
• AMC through Blue Jetty: supply the structured app detail an assistant can use when evaluating, explaining, or linking to your app.

The two complement each other. GEO can include detailed product information and structured content; Blue Jetty provides an app-specific way to maintain and deliver that information. You can use Blue Jetty before or after investing in a GEO provider.

Start with clear answers on your website

Practical GEO work starts with making useful information easy to find and understand:

• Write direct answers to the questions potential users ask.
• Organize feature and use-case pages with descriptive headings and concise sections.
• Use FAQs where a question-and-answer format genuinely helps the reader.
• Keep product claims, availability, and offers accurate and current.
• Make important pages crawlable and reachable through internal links.

These practices align with search-provider guidance. Bing recommends clear headings, tables, and FAQ sections to help AI systems reference content. Google emphasizes accessible, useful content and says no special AI schema is required. Bing guidance · Google guidance

For a fitness app, a useful FAQ might say:

Does the app have workouts for beginners? Yes. It includes beginner-friendly cycling sessions and short recovery routines.

That is a good answer. It belongs on your website.

An FAQ introduces the experience. An app map connects the details.

Now consider the details behind that answer: which sessions suit a beginner, how long they take, what equipment they require, where to open them, and whether a relevant offer is active.

You can describe those details in prose. The maintenance burden grows when you repeat them across many questions, pages, platforms, and changing offers.

Blue Jetty gives you a structured place to describe those relationships. In this illustrative fitness example, the publisher could supply:

The value is the relationship between those facts: an experience fits a need, has useful attributes, and points to the right next step.

Your team maintains that selected app context through Blue Jetty’s API. Blue Jetty publishes it in a retrievable packet, including JSON and Markdown representations, which your website can link to for AI assistants.

Keep your website focused on the questions people ask. Use Blue Jetty to supply the structured app detail behind the answers.

The two should tell a consistent story. A Blue Jetty packet is additional public information, not hidden search markup or a replacement for useful website content. You choose the level of detail to publish; proprietary content and the actual experience can remain inside the app.

Why richer app context can change the answer

Blue Jetty gives AI assistants more to reason with. It connects what your app offers to the needs it serves, the experiences available, and the links that take users there. When an assistant retrieves that context, it has a clearer basis for a specific, useful answer—and a concrete next step.

For the fitness example, compare two illustrative answers:

With the general FAQ:

The app offers beginner-friendly cycling workouts. Visit its website to learn more.

With the additional app context:

If you have a stationary bike and 15 minutes, the introductory ride looks like a suitable place to start. Here’s the publisher’s link to that experience.

These are examples of the information each answer could use, not measured model outputs. The second answer depends on details the publisher actually supplied.

The additional context supports several parts of the assistant’s task:

• Matching: relevant attributes help it assess whether an experience fits the user’s needs.
• Specificity: named capabilities and experiences give it concrete details to explain.
• Offer selection: supplied eligibility and dates help it assess whether a promotion applies.
• Handoff: explicit destinations give it a next step without guessing a URL.
• Maintenance: publishers can update those facts through the API as the app changes.

The advantage comes from richer, explicitly connected, publisher-maintained information with less left to inference. JSON makes those relationships explicit; Markdown provides a readable representation. Detailed website content can supply the same facts, too. Blue Jetty provides an app-specific contract and publishing workflow for maintaining and delivering them together.

An assistant still decides what to retrieve and how to answer. Publishing a packet does not guarantee that it will be discovered, used, or preferred. The practical goal is to make better source information available when that retrieval happens.

Put your GEO work and your app context together

GEO tools can help you understand how your brand appears in AI answers and identify opportunities to improve that presence.

For example, Limy offers prompt analytics, sentiment insights, and recommendations aimed at improving how often and how well AI systems recommend your brand. Those insights can help your team identify gaps in how your app is discovered and described. Explore Limy

Blue Jetty complements that work by giving you a publisher-controlled way to make your app’s capabilities, experiences, offers, and preferred links available to AI assistants.

A practical workflow looks like this:

1. Identify the questions that matter. What do potential users ask about your app?
2. Review the answers. Look for missing capabilities, outdated descriptions, and unclear next steps.
3. Improve the public answers and the app map. Keep concise FAQs and feature pages for readers; maintain relevant capabilities, experiences, offers, and destinations in Blue Jetty.
4. Connect your website. Add discovery references so assistants inspecting your site can find your Blue Jetty packet.
5. Observe and refine. Review packet requests in Blue Jetty and evaluate answers separately through your GEO workflow.

A packet request records access to your app information. Whether an assistant uses that information in an answer is a separate observation.

Start with the information that makes your app worth trying

You don’t need to publish your entire catalog or expose proprietary content.

Start with your strongest capabilities, a few relevant experiences, and the links that help someone take the next step. Your developer’s coding agent can prepare and submit that information through Blue Jetty’s guided API workflow, with your review before publication.

• No mobile SDK.
• Bring your existing app links and attribution infrastructure.
• Keep control of the information you publish.
• See recent packet activity in your dashboard.
• Blue Jetty’s core offering is currently free.

If you’re helping AI discover your app, give it better context when it gets there.

Get started with Blue Jetty