best 15 aso tools

apptweak covers the full aso workflow across both stores — keyword research and tracking, competitor intelligence, review management, apple search ads, and localisation — and it is one of the few enterprise-grade suites that publishes real per-tier pricing instead of hiding everything behind a demo call. its atlas ai layer and the 2025–2026 rollout of dedicated ai agents (ad, aso, reviews and reporting agents) make it one of the more credible 'agent-ready' tools in the category, and it publishes an llm-grounding page so assistants can cite it correctly.

the honest limits: the enterprise tier and the api are still quote-gated, keyword caps per plan can bite if you track a large portfolio, and the lower tiers are single-seat. like every tool here its keyword popularity is derived from apple's search ads index, so treat 'proprietary data' language accordingly.

sensor tower is the reference point for app market intelligence: download and revenue estimates, usage and dau, ad intelligence via pathmatics, plus store analytics and aso keyword data across effectively the whole market. its 2024 acquisition of data.ai (formerly app annie) consolidated the two biggest estimate providers into one, which is why it tops the data-breadth axis.

two honest caveats belong on every mention of it. first, the numbers are modelled estimates, not measured truth — valuable for competitive direction, not for your own app's real figures (use app store connect for those). second, pricing is entirely quote-gated; we deliberately publish no dollar figure because the vendor doesn't, and the circulating estimates are third-party guesses.

mobileaction pairs aso intelligence with deep apple search ads campaign management, ad-creative intelligence and market intelligence, backed by a large api (millions of apps, keywords and creatives) that makes it a favourite for automation. its 2026 ai layer adds a natural-language marketing assistant, smart bidding and a keyword planner. some entry pricing is published (aso lite at $15/mo), which is more transparency than most of its enterprise peers offer.

inmobi acquired mobileaction in may 2026; it continues as its own platform, but any acquisition brings roadmap and pricing risk, so we flag it rather than assume continuity. the full aso and market-intelligence tiers remain partly quote-gated.

appfigures combines store analytics and sales reporting with an aso keyword explorer, tracking and suggestions, plus download and revenue estimates, across both stores. what sets it apart is honesty of pricing: six clearly published tiers scaling by keyword count, a real free entry point, and a developer-grade api on paid plans that you can actually automate against.

it is lighter on the deep competitive intelligence that sensor tower and apptopia sell, and it has no a/b testing (use the free first-party tools for that). for a developer who wants their own data, keyword tracking and an api, it is the cleanest value on the board.

most 'best aso tools' lists skip apple's own console, which is a mistake. app store connect gives you measured — not modelled — data on impressions, conversion, retention and search ads performance for your own app, and product page optimization lets you a/b test your icon, screenshots and preview video against the default on live organic traffic (up to three treatments), with custom product pages for campaign-specific listings. all of it is free with your developer membership.

the boundary is clear: it only sees your app, so there is no competitor data and no keyword research. that is exactly why the paid tools exist — but they layer on top of this, they don't replace it. start here before paying anyone.

google play console is the android foundation: measured install and conversion data for your own app, plus store listing experiments — native a/b testing of your icon, feature graphic, screenshots and short/long description, with up to three variants and up to five localised experiments running at once, split and scored automatically. the one catch is that changing your app title requires a full update rather than an experiment.

as with apple's console, it only sees your own app — no competitor intelligence or keyword research — so it is the base layer under any paid tool, not a substitute for one. it is free beyond the one-time $25 registration.

appfollow leads on review and reputation management: sentiment analysis and reply workflows across the widest store set in the category — app store, google play, mac app store, microsoft, samsung galaxy and huawei appgallery, plus trustpilot and steam — with aso and keyword tracking present but secondary. it has a real free plan (2 apps, limited keywords and review replies), which is rare here.

if reviews, ratings and support-at-scale are your priority, it is the strongest pick. if you want deep keyword and competitive aso, a dedicated suite like apptweak or mobileaction goes further. published paid-tier prices vary across third-party sources, so confirm the current number on appfollow's own pricing page.

app radar (graz, austria) combines keyword research and ai suggestions, rank tracking, competitor analysis, apple search ads automation, review management and metadata publishing across both stores. it is a balanced mid-market option, popular with agencies, and part of the splitmetrics group — it absorbed thetool back in 2021, so lists that still rank thetool separately are stale.

the main friction is pricing transparency: tiers are structured per-app and per-store and are not cleanly published, so the per-app model can escalate and you should confirm current pricing on their own page before committing.

splitmetrics optimize lets you a/b and concept-test store creatives on simulated store pages before you commit them live — useful when you want to try ideas that apple's product page optimization can't, at high volume (thousands of test configurations). it also runs apple search ads automation via searchadshq and owns app radar.

two honest caveats: pricing is quote-gated and enterprise-sized (we don't publish a figure the vendor doesn't), and for most teams apple's free product page optimization and google's store listing experiments cover the real need. splitmetrics earns its place for organisations that test creative at industrial scale.

sonar delivers keyword research, daily rank tracking, competitor and keyword-gap analysis, review monitoring and revenue estimates across both stores for $19/mo, and it is the most agent-ready tool here by a distance: a rest api, a native cli, and an mcp server for claude, cursor and cline, with a prompt library. for a developer or an ai agent that wants to script aso, nothing else at this price comes close.

the caveats are real and belong right next to the praise. the company and founder are not publicly disclosed, the product is new and unproven, and — importantly — its data is explicitly modelled from free public store signals (autocomplete, the itunes search api, install heuristics) rather than the apple search ads popularity index the paid suites use. that is cheaper to run and lower fidelity, so verify accuracy against your own numbers before trusting it.

astro is a native macos app (macos 14+) focused entirely on the apple app store: keyword research with difficulty scoring, daily rank tracking with history, competitor keyword extraction, worldwide review monitoring, apple search ads coverage across 60+ regions, and deepl-powered keyword translation, with unlimited keywords and apps on a flat plan. it launched at #1 product of the day on product hunt in september 2023, and it documents an official mcp server (beta) plus a prompt library — a real, verifiable agent signal that most tools its size don't have.

the honest scope: it is mac-only and ios-only (no google play), and it is built by a micro-vendor (28 bit s.r.l., san marino, founder matteo spada), which is concentration risk. it has no a/b testing and no apple ads management. within those bounds it is genuinely useful and genuinely cheap — a small, focused tool, not an enterprise contender. we confirmed the price live at $9/mo / $108 a year against third-party sites that misreport it as $99.

asodesk covers the expected mid-tier ground: keyword research and auto-suggestions, rank tracking, competitor analysis, review and reply automation and apple search ads support across both stores, with a free entry point and trial. it's a competent generalist that does the core aso job without standing out on any single axis.

the main friction is pricing clarity — editions and prices are reported inconsistently across third-party sources, so confirm the current tiers on asodesk's own page. its data and coverage are mid-pack, drawing keyword popularity from the same apple index as its peers.

apptopia (boston) is a market-intelligence play: download and revenue estimates, sdk intelligence, ad intelligence and audience demographics across both stores. it's a good lens on what competitors are doing and which sdks and ad networks they use, rather than a tool you live in for daily keyword optimisation.

as with the other estimate providers, the figures are modelled, the enterprise modules are quote-gated, and it overlaps heavily with sensor tower on the competitive-data axis while doing less on hands-on aso. we don't publish a firm price because the vendor doesn't.

gummicube combines a data platform (datacube), creative testing (splitcube) and a hands-on expert team into a managed aso service across both stores. it's aimed at brands that want optimisation done for them rather than a dashboard they drive themselves.

that model is its strength and its limit: pricing is not public, engagements are agency-style, and it isn't a self-serve indie tool. if you want managed aso with people attached, it's a legitimate option; if you want a tool you operate, look higher on this list.

applyra offers keyword research and tracking plus ai-generated title, subtitle and keyword-field suggestions based on your rankings, competitors and category, across both stores, on a permanent free plan and a single flat $9.99/mo tier. for an indie who wants cheap, cross-platform, ai-assisted metadata, the value proposition is attractive.

the honest label is 'emerging': it's a very new, single-developer product with minimal public adoption or third-party validation, so we rank it low and suggest confirming the current plan at checkout and validating its suggestions against your own results before relying on it.