Blue Jetty Insights
Yeah, we've given this some thought.
Ideas and practical guides for the people building, growing, and explaining mobile apps.
The essential reading
Explore the libraryThe Blue Jetty Manifesto
Why the context behind an AI answer deserves the same care as your app.
Already investing in GEO?
How a useful website and a structured app map work together.
Your app in an AI answer
A fictional app, one user question, and the difference specific context can make.
Bring your existing app links
Connect the right experience to the linking and attribution stack you already use.
Measure what happens next
Understand packet retrieval, recommendations, and downstream app activity.
Build your own AI Mobile Context
The complete DIY blueprint: what to publish, how to deliver it, and what to maintain.
Explore more
The content library
Stories, case studies and practical reading on how AI is changing app discovery.
29 pieces · Latest from each category · Select one or more categories
How AI helps users find games they actually want to play
A real App Store search and ChatGPT answer show how a conversation can help players find games that fit their tastes, time and budget.
Read blogHelping Medi Dojo measure acquisition from AI recommendations
Medi Dojo supplies its AppsFlyer link alongside its app context, giving AI assistants a publisher-preferred path for measurable acquisition.
Read case studyHow Publishers Make Blue Jetty Discoverable to AI
Understand HTTP headers, first-party app packets, llms.txt, well-known discovery and visible links, with clear requirements and optional coverage.
Read articleHow Bean gave ChatGPT a clearer picture of its app
Seven publisher-supplied experiences helped ChatGPT explain how movement, rewards, and friendship fit together inside Bean.
Read case studyHow AI Assistants Can Assemble Your App's Deep Links
Give AI assistants approved routing choices, examples and a fallback so they can assemble a relevant app link using your existing deep-link setup.
Read articleHow AI-Driven App Discovery Can Remain Attributable
Connect AI app discovery to publisher-approved MMP links while preserving campaign parameters, deep-link context, and honest evidence states.
Read articlePut Current App Offers Beside the Right Experience
Publish relevant app offers with eligibility, codes, preferred links and scheduled or ongoing validity. Growth manages offer links, expiry and review reminders.
Read articleFrom an AI Answer to the Right Place in an App
Learn how app inventory, publisher context, deep links, store fallbacks, and attribution create a qualified handoff from an AI answer.
Read articleSwell Atlas: From an AI Question to an App Handoff
See a synthetic app move from developer configuration to AI selection, attributed handoff, and a curated in-app destination.
Read articleApp Store Metadata vs. Web Evidence for App Research
Learn which app questions store listings answer, where official websites and entity catalogs add evidence, and how to reconcile conflicts without merging sources.
Read articleWhy an App Store Page Is Not an AI Content Strategy
Learn why app-store metadata alone cannot describe an app's live inventory, and what to publish so search and AI systems can route qualified users.
Read articleChatGPT vs Claude for Mobile App Research
Compare AI assistants with a repeatable evidence test instead of unstable feature claims, using current browsing, citations, identity, freshness, and links.
Read articleHow to Check Citations in AI App Recommendations
Audit an AI-generated app recommendation for source quality, identity, recency, claim support, conflicts, and working destinations before using it.
Read articleDeep Links Are Acquisition Infrastructure for AI Discovery
Learn how Universal Links, Android App Links, fallbacks, and destination monitoring turn an AI recommendation into a useful in-app handoff.
Read articleHow to Design a Mobile App Content Feed for AI Discovery
A practical engineering guide to stable IDs, typed attributes, updates, deletions, provenance, and destinations in a machine-readable app content feed.
Read articleHow to Find Content Inside Mobile Apps with AI
Search for classes, routes, menus, events, and other in-app entities by asking for exact constraints, current evidence, and usable deep links.
Read articleFreshness and Provenance: The Missing App Discovery Data
Make app information safer for AI retrieval by separating publisher claims, observed evidence, freshness, verification, and destination health.
Read articleTurn an App CMS into a Machine-Readable Content Inventory
Map existing CMS data into a small app-index feed with stable identity, typed fields, incremental updates, deletions, and verified destinations.
Read articleHow AI Assistants Find Information About Mobile Apps
Understand where AI app answers come from, why app-store pages are incomplete, and how to check sources, dates, platforms, and direct destinations.
Read articleNine Mobile App GEO Mistakes to Avoid
Avoid thin AI-targeted pages, misleading schema, broken deep links, stale facts, duplicate entities, and measurement errors in app discovery programs.
Read articleA Practical Mobile App Research Checklist for AI Users
Use this repeatable checklist to research mobile apps with AI while verifying identity, capabilities, pricing, privacy, freshness, evidence, and routes.
Read articleBetter Prompts for Comparing Mobile Apps with AI
Use constraint, evidence, freshness, platform, privacy, and destination prompts to get more useful and verifiable mobile app comparisons.
Read articleHow to Research Mobile App Privacy with AI
Use AI to compare privacy policies and store disclosures while checking app identity, dates, permissions, data flows, account deletion, and evidence limits.
Read articleRobots.txt for AI Search: Separate Discovery from Training
Configure crawler access deliberately by separating search visibility, user-request retrieval, model training, private routes, and CDN bot protection.
Read articleStructured Data for Mobile Apps: What JSON-LD Can Do
Use SoftwareApplication JSON-LD accurately, connect it to visible app content, and understand where feeds, pages, and verified destinations still matter.
Read articleA 30-Day AI Discoverability Plan for Mobile Apps
A practical four-week plan to audit app information, publish a small machine-readable catalog, verify routes, and measure AI-assisted discovery.
Read articleUse AI to Choose Apps for Fitness, Travel, and Food
Turn a real-world plan into app and in-app entity requirements, then verify availability, evidence, privacy, and direct destinations before choosing.
Read articleHow to Verify Mobile App Features with an AI Assistant
A repeatable workflow for checking app features using current sources, store identity, publisher evidence, independent tests, dates, and direct links.
Read articleWhat AI Can Learn About Your App Through Blue Jetty
See how selected app details help AI assistants explain relevant experiences and offer a publisher-approved next step, using fictional Swell Atlas.
Read article