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The platform

Five product engines. One launch team.

Each engine is a set of specialist AI agents with its own workspace in the dashboard. Together they replace the researcher, designer, developer, release manager and growth marketer.

Built for non-technical founders

Talk to your app like you'd talk to your designer.

No code, no tickets, no waiting. Say what you want changed. Muaz rebuilds only what changed and shows it on a real iPhone in seconds.

Voice edit

“Make the dashboard cleaner.”

The secondary card goes, spacing tightens to a calm 16 pt grid and the layout switches to Minimal Apple.

✓Rebuilt in 3.8 s · version 1.0 (4)
Voice edit

“Change the primary color to blue.”

Every button, tab and highlight picks up the new color from one design token. Nothing to hunt down screen by screen.

✓1 token · 23 components updated
Native feature

“Add Face ID to unlock.”

Muaz adds LocalAuthentication, the permission string Apple requires, and a lock screen that matches your brand.

✓expo-local-authentication added
Design direction

“Make it premium and dark.”

Glass surfaces, a neon glow and bolder numbers. The Premium Futuristic concept, applied to every screen at once.

✓Concept switched · version 1.0 (6)
Growth

“Tell my users we just launched.”

A push notification is drafted, previewed on the lock screen and scheduled. It only sends after you approve it.

✓Push drafted · waiting for your approval
“Make the dashboard cleaner.”
Website Intelligence

Your website becomes the spec.

Muaz reads your public pages, brand and flows, then flags the private APIs it still needs from you.

Native features

Feels native, because it is.

Quality Assurance Agent

38 tests before you ever see it.

App Store top charts

Learn from apps earning millions a month.

Before Muaz designs yours, it studies the patterns behind the App Store's highest-earning and fastest-growing apps across every category. Tap any app to see what it does well.

Templates

Start from a category that already works.

Each template comes pre-researched against the top apps in its category. Tap any phone to explore the screens.

Where we fit

Website-first. Voice-driven. Growth-aware.

Prompt-based builders start from a blank chat. Website-to-app services wrap your site in a WebView. Muaz.io rebuilds your business as a native app and tells you how to grow it.

CapabilityMuaz.ioRorkMedianMobiLoudFlutterFlow
Start from a website URLFull redesign, native UIPrompt firstWebView wrapperDone-for-you wrapperManual
Edit by voiceEvery screen, with historyText chat———
Competitor and revenue research5 / 10 / 20 apps————
Native app outputReact Native + Expo, SwiftUI mode nextSwiftUIHybridHybridFlutter
App Store submissionAgent-prepared, one clickBuilt inAssistedDone for youExport
Growth strategy after launchASO, paywall, 30/60/90 plan——Agency add-on—

Positioning summary from public product pages, November 2026. Competitor plans change often; check their sites before quoting.

Pricing

Start with a prototype. Scale to an agency.

Every plan includes AI credits and build quotas with usage-based top-ups. Apple Developer Program membership is billed by Apple separately.

FAQ

Questions founders ask first

Can a URL alone make my app fully work?

A URL gives Muaz.io your brand, pages, content and flows, so you get a complete designed app. Live data such as accounts, payments or SMS needs your approved API and authentication. The Backend Connector asks for those and maps them to screens. Private backend access is never possible from a URL alone.

Is it a WebView wrapper?

No. The Development engine generates native React Native + Expo screens with real navigation, state and native APIs. A premium SwiftUI generation mode is on the roadmap.

Will it copy my competitors' designs?

No. Competitor screens are inspiration. The Design engine extracts patterns (onboarding length, navigation, paywall layout) and generates original interfaces in your brand.

Who publishes to the App Store?

You do, from your own Apple Developer account. Muaz.io prepares the build, signing, icons, screenshots and metadata and uploads to TestFlight. Final approval always rests with Apple's review team.

Where do competitor revenue numbers come from?

From licensed providers such as Appfigures and AppTweak, plus Apple's public search data. They are estimates, labelled as estimates. Competitors' real profit, CAC, retention or ad spend are not public and are never shown as fact.

AI competitor research

Research the apps already winning your category

Muaz.io finds 5, 10 or 20 relevant iOS apps, studies their screens, pricing, paywalls and keywords, and turns the patterns into an original design for your app.

Updated Nov 6, 202613 min read · 3,032 words5 cited sources

Why research comes before design

The most expensive mistake in app development is building something people already have a better version of. The second most expensive is copying a leader so closely that you inherit its weaknesses without its brand. Good competitor research avoids both. It tells you what users in your category have learned to expect, where the leaders are weak and which patterns are worth adopting.

Muaz.io puts competitor research at the start of every project instead of treating it as an optional extra. Before the design agent draws a single screen, the Discovery Engine finds the apps already winning your category, studies how they onboard, navigate, monetise and position themselves in search, and turns those observations into a brief. You then choose what inspires you, and the design agent creates something original.

That order, research then inspiration then design, is how strong product teams work. It is now fast enough to do on every project, in minutes rather than weeks.

Try it on your own website

No credit card. Muaz.io maps your site, studies your competitors and shows you the app first.

How Muaz.io finds the right competitors

Relevance is the hard part of competitor research. Searching the App Store for a keyword returns a mix of leaders, clones and abandoned apps. The Competitor Research Agent uses several signals to separate them.

It starts with your category and audience, detected from your website or prompt. It searches Apple's public catalogue through the iTunes Search API for apps that match your primary use case and keywords, then removes duplicates and apps that have not been updated recently. It classifies each remaining app as a direct competitor, solving the same job for the same audience, or an adjacent one, solving a related job or serving a neighbouring audience. Finally it ranks them using transparent criteria: relevance to your brief, ratings volume, update recency and, where a licensed provider supplies it, estimated traction.

You see the ranking and the reasons behind it. If an app does not belong, exclude it. If you know a competitor the agent missed, add it by name or link.

5 · 10 · 20apps per report, your choice
4research stages from discovery to recommendation
0invented financial figures

What gets analysed in every app

Each competitor profile collects the same structured information so you can compare like with like.

  • Identity: name, publisher, App Store identifier, category and supported countries.
  • Store presence: icon, subtitle, description, screenshots and the messaging each screenshot leads with.
  • Social proof: rating and review count where available.
  • Onboarding: number of screens before value, whether sign-up is required first and when permissions are requested.
  • Navigation: tab bar structure, primary action placement and search patterns.
  • Monetisation: free, freemium, subscription or paid, trial length, default plan and paywall style.
  • Keywords: the terms the app appears to target in its title and subtitle, with ranking history where a provider supplies it.
  • Market estimates: downloads and revenue from a licensed provider, labelled as estimates, or marked unavailable.
  • Strengths and weaknesses: a short, plain-language assessment of what each app does well and where it frustrates users.

Design intelligence: learning patterns, not pixels

The Visual Intelligence Agent studies each competitor's screenshots to understand how their interfaces are organised. It looks at visual hierarchy, colour systems, typography choices, card structures, empty states, feature discovery and how the paywall is presented. It then summarises recurring patterns across the category.

A summary might read: seven of ten apps reach their core feature within three screens; eight use a four-tab layout; six present the annual plan first with a trial; only two ask for notifications during onboarding. Those are the decisions that shape your app, and seeing them across a category is far more useful than studying any single leader.

Crucially, the agent extracts patterns rather than assets. Under Apple's intellectual property guidelines, apps should not copy another developer's protected work, and Muaz.io's design agent never places competitor screenshots, logos or distinctive visual designs into your app.

Market intelligence you can trust

Numbers attract attention, so they need the most care. Muaz.io connects to licensed data providers through adapters, starting with Appfigures, with AppTweak and Sensor Tower planned. When a provider supplies an estimate, you see the figure with its provider, country, period and capture timestamp, plus a confidence note. When no provider covers an app, the field reads "Unavailable".

That might sound obvious, but it is not how much of the internet works. Many tools display confident revenue numbers for every app regardless of whether any data source supports them. A decision built on a fabricated number is worse than one built on no number at all, because it feels certain. Muaz.io would rather show you a gap.

For context on the scale of the market, Appfigures estimates that TikTok earned around $300 million and ChatGPT around $201 million in net revenue worldwide in May 2026. Explore more on our App Store top charts page.

Pricing and paywall comparison

How competitors charge tells you what your market will accept. Muaz.io lines up each app's model, plan options, trial length, default selection and paywall timing side by side.

Published benchmarks help interpret what you see. RevenueCat's 2026 subscription benchmarks report that hard paywalls convert trials to paid at about five times the rate of freemium models by day 35, while longer trials of 17 to 32 days convert around 70% better than trials under four days. If every competitor in your category uses a short trial and a soft paywall, that might be an opportunity rather than a rule. Our free paywall teardown tool lets you score any paywall against these patterns.

Free: Competitor Teardown Template

The exact framework our research agents use to compare onboarding, paywalls and ASO, as an editable worksheet.

We’ll email the resource and a few practical tips. Unsubscribe in one click. We never sell your data.

ASO opportunity analysis

Search is how most apps are discovered, and competitor research reveals where search demand is underserved. Muaz.io compares the keywords each competitor targets in its 30-character name and subtitle and highlights terms that are relevant to your app but weakly covered by the leaders. It also flags localisation gaps: markets where competitors have not translated their listing, which often means an easier path to ranking.

Take those findings into the free ASO keyword tool to draft your own title, subtitle and 100-character keyword field.

The inspiration board

After the analysis, you build an inspiration board. Tap the bookmark on any competitor to save it, or save individual patterns such as "three-step onboarding" or "annual plan first". You can let the AI pre-select the three most relevant apps if you are short on time.

The board becomes an input to the Creative Design Agent, which generates three original design concepts informed by the patterns you chose. Because your brand tokens drive the visuals, the result looks like your business, not like the competitor that inspired a layout.

Side-by-side comparison and reports

Select up to three apps to compare their relevance, model, paywall pattern, onboarding length, design style, rating and market estimates in one table. Every chart distinguishes estimated data from verified data, and the full analysis can be exported as a research report.

Reports come in three sizes: a Starter report covering five apps with screenshots and basic UI and ASO analysis, a Growth report covering ten apps with revenue and download estimates and three design concepts, and a Scale report covering twenty apps with deeper marketing analysis and a 90-day roadmap.

A worked example: virtual phone numbers

For a virtual number app, a ten-app report surfaced six direct competitors, such as second-number and burner-number apps, and four adjacent ones, such as travel eSIM apps. The pattern summary showed that most direct competitors required sign-up before showing any numbers, used dark, utilitarian designs and placed pricing behind several taps, while the eSIM apps led with a clear country search and transparent prices.

The recommendation combined the best of both: show available countries and prices before sign-up, borrow the eSIM apps' search-first layout, adopt a cleaner and more trustworthy visual style than the direct competitors and target keywords around "second phone number" and "receive SMS" that the leaders under-used in their subtitles. None of that required copying a single screen.

Research for agencies and teams

Agencies run competitor research at the start of every client engagement because it changes the conversation from opinion to evidence. A client who wants "something like the market leader" can see exactly which patterns make that app work and which ones its users complain about. The exported report doubles as a strategy deliverable. Learn more on our agency page.

How research connects to the rest of the build

Competitor research is the first engine in a five-engine pipeline. Its outputs, the pattern summary, the inspiration board, the keyword opportunities and the pricing comparison, flow directly into the product brief, the design concepts, the App Store metadata and the growth plan. Change your mind about a competitor later and the downstream recommendations update. See the full pipeline in how it works.

Limits worth knowing

Competitor research is powerful, but it has edges. Public data shows what an app presents, not how it performs internally. Provider estimates are models with error margins that vary by app size and country. Retention, acquisition cost and profit are private and never shown as fact. And the best insight still comes from talking to your own users. Treat the research as a map of the territory, not the territory itself.

Start your competitor research

Paste your website or describe your idea at the top of this page, choose 5, 10 or 20 competitors and run the analysis. You will see the ranked list, screenshots and pattern summary in minutes, then save the apps that inspire you and move straight into design. If you want the framework without the software, download the teardown template below.

The four research stages explained

Muaz.io's research runs in four stages, each with a visible output you can review before moving on.

Stage A: Discovery. The agent confirms your category, audience, core keywords and business model, then finds and ranks candidate apps. Output: a ranked list with a relevance score and a direct or adjacent label for every app.

Stage B: Design intelligence. Screenshots and store pages are analysed for onboarding, navigation, card structures, paywall layout and visual style. Output: a pattern summary with counts across the category, plus notes on what each app does well and badly.

Stage C: Market intelligence. Licensed provider estimates, ratings and pricing are collected and labelled. Output: a comparison table where every figure carries its source and date, and gaps are shown honestly.

Stage D: Recommendation. The findings are combined into a set of design concepts and a growth opportunity report. Output: three original design directions informed by your inspiration board, keyword opportunities and a recommended monetisation model.

You can stop after any stage, edit the inputs and re-run it. Many teams run Stage A twice: once broadly, then again after excluding apps that turned out to serve a different audience.

Questions to ask of every competitor

Software can collect data, but strategy comes from asking the right questions. These are the ones our research agents answer for each app, and the ones worth asking yourself when you review the report.

  • What job does this app do, in one sentence? If you cannot say it simply, users probably cannot either.
  • How long until a new user gets value? Count the screens and taps between install and the first useful moment.
  • What does it ask for, and when? Sign-up, payment details, notifications and location all cost trust. Note where each request appears.
  • How does it make money, and what is the default? The plan that is pre-selected on the paywall tells you what the company optimises for.
  • What do its lowest reviews complain about? Complaints are a free roadmap for your differentiation.
  • Which words does it lead with? The title, subtitle and first screenshot caption reveal the positioning the company believes in.
  • What is missing? A feature every competitor lacks may be a gap, or a sign that users do not want it. Validate before you build.

Choosing direct versus adjacent competitors

Direct competitors show you the expectations users bring to your category. Adjacent competitors show you ideas the category has not adopted yet. Both matter. A meditation app benefits from studying other meditation apps to understand the standard, and from studying a sleep tracker or a journaling app to find a fresh angle.

As a rule of thumb, aim for roughly two thirds direct and one third adjacent in a ten-app report. In crowded categories, increase the share of adjacent apps so the recommendations do not converge on the same patterns everyone else uses.

Keeping research up to date

Markets move. A competitor can change its paywall overnight or climb the charts after a feature launch. Muaz.io stores each research snapshot with its capture date and lets you refresh it whenever you like, highlighting what changed since the previous run: new apps entering the top ten, pricing changes, new screenshot messaging and rating shifts. Pro and Agency plans can schedule a monthly refresh so the growth plan reacts to the market rather than to an outdated report.

Research for every stage of an app's life

Competitor research is not only for new ideas. Before a redesign, it shows how the leaders in your category have changed their onboarding and paywalls since you launched. Before a price change, it shows how competitors package their plans. Before entering a new country, it shows who ranks there and which keywords are open. Muaz.io lets you re-run research on an existing project at any time and compares the results with your previous run, so you can see what moved.

Turning research into a positioning statement

The most valuable output of research is a single sentence: for whom your app is the best choice, and why. The Product Architect Agent drafts it from the evidence, for example: "For freelancers who juggle several clients, Ledgerly is the invoicing app that chases late payments for you, unlike general accounting apps that need an accountant to set up." That sentence guides the design, the App Store metadata, the screenshots and the launch plan. If you cannot write it after reading the research, the brief is not ready yet.

How to read review themes

Reviews are the most honest research you will ever get, because people write them unprompted. Muaz.io groups competitor reviews into themes such as onboarding, pricing, bugs, missing features and customer service, and shows how often each theme appears in positive and negative reviews. Look for three patterns. A theme that appears in negative reviews for every competitor is an industry-wide gap you can own. A theme praised for one competitor but criticised for others shows what good looks like. And a feature that people ask for repeatedly but nobody has built is often your best launch differentiator.

Research and revenue intelligence, responsibly

Revenue estimates help you size a market, but they are models, not facts. Muaz.io shows each estimate with its provider, period and country, and never fills gaps with guesses. When you present research to investors or clients, cite the source the same way. Our top charts page explains how estimates are produced and how to read them, and the revenue calculator lets you model your own numbers from benchmarks rather than from a competitor's headline figure.

Five questions research should answer

Before you move on to design, make sure the research answers five questions. Who are the three apps your users will compare you with? What do those apps charge, and how? What do their users praise and complain about most? Which keywords do they target, and which do they ignore? And what single thing will your app do better? If any answer is unclear, run a larger research set or narrow your category, then approve the brief with confidence.

Still have questions about app competitor analysis? Ask the assistant inside the Muaz.io builder. It knows your project, your competitors and every source cited in this guide, and it answers in plain language.

Last reviewed Nov 6, 2026 by the Muaz.io research teamFigures are cited inline and in the sources below
FAQ

Questions about ai competitor research

Short, direct answers. Still curious? Ask in the builder; the assistant knows your project.

Where does the competitor data come from?

App discovery and public metadata, such as names, descriptions, screenshots and ratings, come from Apple's public search API. Revenue and download estimates come from licensed providers such as Appfigures, with AppTweak and Sensor Tower planned. Every estimate shows its provider, country, period and capture date.

Are the revenue numbers exact?

No, and no third party can give you exact numbers for another company's app. Provider figures are modelled estimates, labelled as estimates, and useful for comparing scale. When no provider covers an app, Muaz.io shows it as unavailable rather than inventing a number. A competitor's profit, acquisition cost or ad spend is never presented as fact.

Will Muaz.io copy my competitors' designs?

No. The research agents extract patterns, such as onboarding length, navigation structure or paywall layout, and the design agent creates an original interface in your brand. Competitor screenshots, logos and protected visual designs are never placed into your app, which also protects you under Apple's intellectual property rules.

How do I choose between 5, 10 and 20 competitors?

Five is ideal for a focused niche or a quick validation. Ten gives a reliable view of a typical category and is the most popular option. Twenty is best for crowded markets such as productivity, fitness or finance, or when you want adjacent categories included.

Can I add or remove apps from the research?

Yes. You can add any app by name or App Store link, exclude apps that are not relevant and re-run the analysis. Your edits are saved with the project.

Is competitor research included in every plan?

A starter scan of five apps is included in the Starter plan. Ten and twenty-app reports are available as one-time purchases or included in Pro and Agency plans.

Keep exploring

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Sources

Where our numbers come from

Third-party figures are estimates published by the sources below. Prices and rules change; check the source before you decide.

  1. Apple iTunes Search APIperformance-partners.apple.com/search-api
  2. Appfigures: top apps, May 2026appfigures.com/resources/insights/most-downloaded-highest-earning-apps-may-2026
  3. RevenueCat: subscription app benchmarks 2026www.revenuecat.com/blog/growth/subscription-app-trends-benchmarks-2026
  4. Apple App Store Review Guidelines: intellectual propertydeveloper.apple.com/app-store/review/guidelines/#intellectual-property
  5. App Radar: top grossing apps on the US App Storeappradar.com/blog/top-grossing-apps-app-store

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