Field manual · Mobile app developers
Reddit Marketing for Mobile app developers
App Store charts don't drive discovery the way they used to. Users now ask ChatGPT or Perplexity for "the best budgeting app," and roughly half of the citations behind those answers come from Reddit threads. This guide covers how mobile app developers get into those threads — which subreddits matter, what to actually write, and how to do it without getting removed by mods.
Why Reddit, why now
Watch how people actually pick apps in 2026. They don't trust App Store reviews — those are gameable and everyone knows it. They append "reddit" to their Google search, or they go straight to r/androidapps and r/iosapps and post "is there an app that does X." A recommendation from an account with two years of post history beats a 4.8-star rating from strangers. Reddit is the app recommendation engine the app stores never built.
The second shift is bigger. When someone asks ChatGPT or Perplexity for the best app in your category, the assistant assembles its answer largely from Reddit — roughly half of LLM citations for product questions trace back to Reddit threads. ASO reaches people who already opened the store. Reddit gets you recommended before they open it — by human commenters and by the assistants that read those comments. If the threads in your category only mention competitors, you're invisible in the channel where the decision now happens.
The good news for small teams: this compounds. One honest, useful comment in a request thread keeps producing — it ranks in Google, gets read by every future person with the same problem, and becomes source material for AI answers. Unlike paid UA, the cost doesn't reset every month. A solo developer with a credible account can show up in more of these answers than a funded competitor buying installs.
Your subreddit map
The playbook
01
Build your query map from request threads, not ASO keywords
Search r/androidapps, r/iosapps, and r/apps for "best app for," "is there an app that," and "[competitor] alternative" in your category. Write down the exact problem language people use — "something to stop me doomscrolling," not "screen time management solution." That phrasing is what you reply in, and it's what AI assistants match against when they retrieve threads.
02
Answer request threads with a shortlist, yours included
In request threads, recommend two or three apps including your own, disclose upfront ("full disclosure, I built one of these"), and name the honest tradeoff — who your app is wrong for. Shortlist answers with a stated bias get upvoted because they read like a real user helping. Solo pitches get reported. Name the app rather than dropping a store link unless the sub explicitly allows links.
03
Work the evergreen threads, not just today's
Sort your category searches by top posts of all time. The "most underrated apps" and "what's on your homescreen" threads from a year ago are exactly what ranks in Google and gets cited by ChatGPT and Perplexity. A substantive late answer in a thread with search traffic outperforms a fast answer in a thread nobody will find next week.
04
Post one build-in-public thread per month
On r/SideProject or r/startups, share real numbers: downloads, retention, a pricing experiment that failed. These threads earn karma and account age, which is what makes your recommendation comments in r/androidapps survive mod scrutiny. They also pull in developers, who are early adopters for most app categories.
05
Match cadence to account health
Keep most of your activity non-promotional and hold disclosed recommendations to a handful per week, never two in the same subreddit on the same day. Read every sub's self-promo rules before your first comment there — app subreddits enforce them harder than most. A warm account that comments for weeks before recommending anything is the whole ballgame.
06
Probe the assistants like a buyer would
Ask ChatGPT and Perplexity your actual buyer questions — "best offline note app for iPhone," "habit tracker that isn't subscription-based" — and note which Reddit threads they cite. Those specific threads are your priority list. If competitors are named in them and you aren't, you know exactly where to earn a mention.
07
Systemize it — start with the free audit
Doing this manually means monitoring a dozen subs, checking rules, drafting replies, and re-probing assistants every week. ShowUp runs that loop: it finds high-intent threads, drafts rules-aware replies you approve before anything posts, paces publishing conservatively, and tracks whether ChatGPT, Perplexity, and Google AI actually cite you. Run the free audit at showup.fast to see which threads in your category the assistants already cite — and whether you're in them.
What gets you banned
- Dropping a store link in every comment. Name the app and let people search; link only when asked or when the sub's rules explicitly allow it.
- Hiding that you're the developer. Users check post histories, most app subs require disclosure, and getting caught astroturfing burns the account and the brand name in that sub permanently.
- Treating Reddit as a launch-day channel. One splash post followed by silence wastes the account; the request threads you answer in month three are usually worth more than the launch post.
- Writing replies in App Store listing language. "Seamless, intuitive experience" gets downvoted on sight — answer in the thread's own problem language and lead with the tradeoff.
- Blasting ten subreddits from a fresh account in a week. That pattern is what mods and spam filters are tuned to catch; comment genuinely for weeks before you recommend anything.
- Ignoring old threads because they look dead. Top-ranked threads from last year are precisely what Google surfaces and AI assistants cite.
FAQ
Is it against the rules to recommend my own app on Reddit?
Not inherently. Most app subreddits allow developer participation with disclosure, inside their self-promo rules — r/androidapps and r/iosapps see disclosed dev answers in request threads regularly. What gets removed and banned is undisclosed promotion. Read each sub's sidebar before your first comment and disclose every time.
Does ASO still matter if discovery moved to AI assistants?
Yes, but it only reaches people who already opened the store with intent. The step before that — "which app should I even look for" — now happens in ChatGPT, Perplexity, and Google searches with "reddit" appended. Roughly half of LLM citations for product questions come from Reddit, so the threads decide which apps make the shortlist ASO then has to convert.
Will I get banned for doing this?
Nobody can honestly promise you won't — subreddit mods have wide discretion and use it. You reduce the risk the boring way: disclose that you're the developer, follow each sub's specific rules, keep pacing conservative, and review every post before it goes out. That's how ShowUp operates too: rules-aware drafts, human approval on every post, no exceptions.
How long until this shows up in installs?
Direct referrals from request threads can land within days of a good answer. The citation effect is slower — it builds over weeks to months as your threads get indexed and picked up by assistants — but it compounds instead of resetting like paid UA. Judge the channel on a quarter, not a week.
Where do I start if I have zero Reddit presence?
Start the warmup now — weeks of genuine participation in your category subs before any recommendation. While the account ages, build your target list: search the request threads in your category, note which ones rank in Google for your buyer queries, and ask ChatGPT and Perplexity those same questions to see which threads they cite. The threads that name competitors but not you are where you start.
See your exact threads, not a generic list
The free audit maps your subreddits, finds live buyer threads for your product, and checks whether AI engines cite you today.
Run the free audit