“ASO is just SEO for apps” has been seen across the web as a comforting simplification, and it is not wrong, while not completely true either. Since November 2025, when Apple made the App Store crawlable on the open web, it’s gotten less true and more true at the same time: the two disciplines still run on different algorithms, but they now feed the same discovery surface, and increasingly the same AI answer engines. We wrote about that shift in The App Store Goes Web.
If you’re a growth marketer, indie developer, or founder trying to figure out where to spend your next quarter’s optimization budget, here’s the actual breakdown: what each discipline is, where they overlap, where they genuinely diverge, which tools we use for each, and how to make them work together instead of picking one.
What ASO actually is
App Store Optimization is the practice of improving an app’s visibility and conversion rate inside app store search and browse, on the App Store and Google Play specifically. It has 2 jobs:
- Get found (ranking)
- Get installed once found (conversion).
Mechanically, ASO means optimizing:
- Metadata: title, subtitle, keyword field (iOS) or full description (Android), which the algorithm parses for keyword relevance
- Visual assets: icon, screenshots, preview video, which drive conversion rate once someone lands on your product page
- Ratings and reviews: both a ranking signal and a trust signal at the point of decision
- Performance signals: download velocity, retention, crash rate, uninstall rate
- Other surfaces: in-app events, custom product pages, and (since the app store went web) editorial and collection pages that are now indexable by Google
What SEO is and what people mean by “SEO for Apps”
Search Engine Optimization is the practice of improving a website’s visibility in organic search results on Google, Bing, and now increasingly AI answer engines. When people say “SEO for apps”, they usually mean one of two things, and conflating them is where most of the confusion starts:
- Optimizing your app’s marketing site (landing pages, comparison pages, blog content) to rank for pre-download research queries or drive web-to-app traffic. Example: “best budgeting app,” “alternative to X”…
- Optimizing the App Store listing itself using SEO logic, which is really just ASO
Here we mean the first one, when SEO for apps is content and site-level work that captures demand before someone opens a store, and hands them off to ASO to close the install.
Where they actually overlap
- Both are keyword-driven discovery systems, as you’re matching what a human types to what you’ve optimized for.
- Both require ongoing competitive analysis with rankings move because competitors move too.
- Both reward iteration over intuition: the teams that win run ongoing structured tests.
- Both are increasingly converging into the same discovery layer, as AI search and the web-indexed App Store blur what used to be separate silos.
Where they diverge
| ASO | SEO | |
| Platform | App Store, Google Play : closed, curated marketplaces | The open web : Google, Bing, AI engines |
| User intent | Near-decision. Someone searching in-store is seconds from installing | Research and comparison. Longer consideration window |
| Primary ranking unit | Title, subtitle, keyword field (iOS) Title, short description, long description (GP) | Content depth, topical relevance, internal linking |
| Off-platform signal | Download velocity, retention, crash rate | Backlinks, domain authority, E-E-A-T |
| Technical layer | Effectively none: no crawlability, no Core Web Vitals | Central: page speed, mobile usability, crawl budget, schema |
| Update cadence | Rankings can move within days, especially under Apple Ads-driven velocity | Compounds over months; meaningful movement is rarely faster than 8–12 weeks |
| Paid media interplay | Apple Search Ads directly influences organic rank by lifting download velocity | Google Ads has zero direct effect on organic position |
| Visual assets | Critical as icon, screenshots and preview video are the actual conversion mechanism | Secondary since meta title/description drive CTR, not rank |
The platform difference is the one people underrate most. Google indexes the open web; app stores are merchandising engines Apple and Google control end to end. That’s why an ASO “algorithm update” can reshuffle a category overnight in a way Google almost never does anymore.
The Tools: What we actually use for each
Not every tool that says “ASO” or “SEO” on its homepage deserves your budget. Here’s the honest breakdown, and yes, we’ve paid for all of these ourselves.
For SEO: SEMrush and Ahrefs
Ahrefs has the strongest backlink index in the category, so if link-building or technical audits are your priority, this should be your pick. The interface is dense but the data is trustworthy, which matters more than a pretty dashboard when you’re making budget calls.
SEMrush is the broader all-in-one with keyword research, content tooling, PPC data, and competitive intelligence in one subscription. It’s the better pick if one person is running SEO, content, and paid search, and doesn’t want three logins. You pay for that breadth in a less focused product.
For ASO: Astro, AppRadar, AppTweak
We cover this in more depth in our indie-developer ASO tools guide, but the short version:
AppTweak has one of the deepest analytics of all ASO tools: best keyword data, best competitor tracking, and the ranking-factor research we cited above is theirs. It’s also the most expensive, and the UI has a learning curve.
Astro is the budget iOS tool, unlimited keyword tracking across 60+ countries, Apple Search Ads-sourced popularity/difficulty scores, and has been one of the first to ship their MCP server, so any AI agent like Claude, Codex, etc. can pull data, duplicate content, research keywords… Best if you’re a solo dev or small team optimizing one App Store listing; not a substitute for AppTweak or AppRadar once you need more insights.
Try Astro now
Read our full Astro review
How to set up the Astro MCP step-by-step guide
AppRadar is a unified ASO dashboard that’s genuinely usable by growth teams with an intuitive interface and powerful store integrations. The platform is designed to support developers and marketers into tracking their keywords, analysing competition and manage user reviews. You can also link your Apple Ads accounts and start using automations.
The KPIs that matter
This is where “conversion rate” as a word does real damage, because it means something different in each discipline.
ASO KPIs:
- Impressions and product page views / top of funnel: are you being seen?
- Conversion rate / page view to install: your creative and metadata are clear enough for users to install the app?
- Keyword rankings and visibility score: how many tracked terms you rank for, and how high?
- Organic downloads, split from paid
SEO KPIs:
- Impressions and click-through rate: search result to site visit
- Organic sessions and keyword rankings
- Backlinks and referring domains: your authority signal
- Conversions, but here that usually means a goal completion such as email signup, app-store click-through
How ranking and visibility actually work
App Store algorithm, per the current ranking-factor research: title and subtitle carry the heaviest weight for keyword relevance, followed by the dedicated keyword field. Past metadata, the algorithm reads performance signals such as download velocity, conversion rate from search, and ratings (apps under 3.5 stars see reduced visibility; 4.0+ correlates with better rankings). Retention, crash rate, and now in-app events and custom product pages all factor in. Apple Search Ads spend indirectly lifts organic rank by accelerating download velocity, and there’s no equivalent lever on the SEO side.
Google’s algorithm works from a different base entirely: content relevance and depth, backlink authority, internal linking structure, technical health (Core Web Vitals, crawlability, mobile usability), and increasingly, freshness and originality as AI-generated summaries pull from indexed pages. There’s no “keyword field” shortcut since you earn relevance by actually covering the topic.
Results and expectations
This is the section that saves client relationships. ASO changes can move rankings within days, and Apple Ads can also be accelerating velocity behind a metadata change.
SEO does not work that way, and no tool changes that. Meaningful organic movement typically takes 8–12 weeks minimum, often longer for competitive terms, and it compounds rather than snaps into place. If a client or stakeholder expects SEO to behave like ASO, that’s a conversation to have before the campaign starts, not after month two when the graph is still flat.
A/B testing and experimentation
ASO experimentation runs almost entirely on store-native & creative testing: icon, screenshots, and preview video tested against install conversion rate, plus custom product page (CPP) and product page optimization (PPO) tests that let you run multiple variants against different traffic sources simultaneously. The feedback loop is fast: enough traffic and you have a statistically meaningful read in days.
SEO experimentation is slower and structurally different since you’re testing on-page elements (title tags, meta descriptions, content structure, internal linking) against organic CTR and rankings, but because the algorithm itself takes weeks to fully re-index and re-rank a change, you’re often waiting weeks or more to know if a test actually worked, and isolating the variable is harder when Google’s own algorithm is shifting underneath you.
If your team is used to ASO’s fast feedback loops, budget patience for SEO tests, or you’ll kill winning tests too early.
Why the smartest teams run both
Here’s the case for both, stated plainly: SEO captures demand before someone opens a store through comparison content, feature pages, and organic search for problems your app solves. ASO converts that demand once it arrives at your listing. Run SEO without ASO and you’re sending qualified traffic into a listing that doesn’t close. Run ASO without SEO and you’re entirely dependent on in-store discovery, competing for browse and search traffic you don’t control the volume of.
What’s next: GEO is already here
Generative Engine Optimization, optimizing content so it gets cited in AI-generated answers from ChatGPT, Gemini, and Google’s AI Overviews is happening now. It’s already reshaping how the freshness and structure of your content gets rewarded: content under three months old sees roughly a 3x citation lift, 70% of cited pages were updated within the past year, and proper heading hierarchy alone correlates with a 2.8x jump in citation odds, according to AirOps’ 2026 AI search research.
For apps specifically, this matters more than it looks: the same web-indexed App Store pages, in-app events, and collection pages that Google now crawls are exactly the kind of structured, freshness-sensitive content AI engines prefer to cite. We go deeper on the ASO-SEO-GEO convergence in The App Store Goes Web; worth reading once you’ve got ASO and SEO sorted, because GEO is where both are headed next.
TL;DR
ASO and SEO are not the same discipline, and running either one with the other’s playbook wastes budget.
ASO ranks and converts inside app stores on metadata, ratings, and velocity, moving fast and rewarding rapid testing (AppTweak, AppRadar, or Astro depending on your team size and budget).
SEO ranks your marketing site on the open web through content depth and authority, moves slowly, and compounds (Ahrefs for links and technical depth, SEMrush for an all-in-one workflow).
Used together, SEO to capture pre-install demand, ASO to convert it, they cover more of the funnel than either does alone, and with the App Store now on the web and AI answer engines pulling from both, that convergence is only going to get tighter. GEO is the next layer on top of both, not a replacement for either.
