ASO vs GEO — and why your iOS app needs both.

App Store Optimization (ASO) is the practice of engineering an iOS app's App Store listing so Apple's search algorithm ranks it higher for the queries your buyers type. The work happens in App Store Connect, on a finite number of fields: title (30 chars), subtitle (30 chars), keywords field (100 chars, not user-visible), category, primary screenshots, icon, in-app purchase names, reviews, and localized variants of every above field for each market.

Apple's algorithm weighs metadata, install velocity, reviews velocity, retention, and category position. There is no DA, no backlink graph, no PageRank — the algorithm is closed and the ranking signals are first-party. That makes ASO unusually high-leverage: every variable you control is a variable Apple weighs.

The misconception that costs indie founders the most: ASO is not 'add more keywords.' Most indie apps spread keyword bets across eight terms and rank for none. The teams that win pick one keyword and commit every metadata slot to it. Title-first. Brand second. Subtitle stacks two more. Then ship and wait.

Generative Engine Optimization (GEO) is the practice of getting your app named by generative AI engines — ChatGPT, Perplexity, Claude, Google AI Overviews — when users ask category-level questions ('best habit tracker', 'AI face analysis app for iPhone', 'alternative to X'). Where ASO optimizes for a ranked list, GEO optimizes for the single-paragraph answer the engine emits. Three apps get named in that paragraph. The rest don't exist for that user.

GEO citations come from two sources. First: training data. The model was trained on a corpus including blog posts, podcasts, Reddit threads, Indie Hackers posts, RevenueCat / Sub Club coverage, and SubStacks. Apps that appear repeatedly in that corpus get cited when the model is asked category questions. Second: inference-time retrieval. ChatGPT-User, Perplexity-User, and ClaudeBot fetch live pages at the moment a user asks a question. Pages with the right structured data, the right answer capsules, and the right freshness signals get cited in real-time.

GEO is not 'submit your app to ChatGPT.' There is no such submission. The engines don't crawl App Store listings directly — they pick up apps via the wider open web. Which is why the work looks like content marketing rather than metadata optimization. Different muscle. Different timeline. Different deliverable.

The two disciplines look similar at the strategic level — 'find the queries your buyers ask, become the answer' — but the tactical work is almost completely different.

ASO is a metadata sport. The unit of work is a 30-character title and a 100-character keyword field. The feedback loop is App Store Connect impressions and rank, refreshed daily. The patience requirement is weeks: ship a metadata change, wait two to three weeks for impressions data to react, four to eight weeks for keyword ranks to settle. The competitive set is finite — the apps in your category.

GEO is a content sport. The unit of work is a substantive blog post, podcast appearance, or structured page that lands somewhere model training picks it up. The feedback loop is prompt sampling — running your category's top buyer-intent prompts across ChatGPT, Claude, and Perplexity weekly and watching which apps surface. The patience requirement is months: a citation that lands in this quarter's training cycle shows up six to twelve weeks later. The competitive set is open — anyone in your category, plus anyone the model has confused with your category.

If your app is pre-launch or has fewer than a thousand installs: ASO first. The metadata work is faster, the feedback loop is tighter, and you need a baseline of installs and reviews before GEO citations matter. Get the title right, ship one wave of localizations, and wait three weeks.

If your app is past the first thousand installs and impressions are flat: run both in parallel. ASO continues to compound on the metadata work you've done. GEO starts to compound on the earned-media plan — one podcast, one Indie Hackers post, one RevenueCat-style writeup per quarter. Six months in, the two channels reinforce each other: people who hear about you in ChatGPT search your brand name, which the App Store algorithm then weights upward.

If your app is in a sensitive category (looksmaxxing, weight loss, gambling-adjacent, NSFW): GEO is the safer half of the budget. App Store policy can pull a listing overnight; earned media doesn't get pulled. Build defensive coverage that survives the listing-loss scenario.

ASOitis bundles ASO and GEO into a single engagement because the two disciplines share the same prompt-class map — the list of category-level questions your buyers ask. We sample that map across the App Store search bar and the four major answer engines simultaneously, then assign work to whichever surface has the bigger gap.

The $99 audit is where the two-surface read starts. We run your category's top 12–15 buyer-intent prompts across ChatGPT, Perplexity, Claude, and Google AI Overviews; cross-reference against your App Store impressions data; and ship back a 30-day plan ordered by lift × effort. The $499/month engagement then executes that plan weekly — metadata changes shipped to App Store Connect on one cadence, earned-media work shipped to the open web on another.