Appnalysis FAQ

Question 1

What is Appnalysis?

Accepted Answer

Appnalysis is an AI-powered App Intelligence platform for the mobile app sector. It ingests real iOS and Android app data, combines it with App Store and Google Play charts and signals plus additional ecosystem sources, and turns the result into App Insights, 150+ structured, decision-ready reports per app covering features, SDKs, frameworks, monetisation, security signals, and architecture. The platform answers what competitor apps are actually built with and what to build next, grounded in evidence rather than speculation.

Question 2

Who is Appnalysis for?

Accepted Answer

Appnalysis is used by agencies, product teams, and enterprise organisations working with mobile apps, as well as regulators, oversight bodies, policy advisors, and researchers. Commercial teams use it to win pitches with evidence, choose technology with confidence, and benchmark competitor features. Ecosystem and policy users use it for continuous, post-market visibility into how apps actually behave across the market.

Question 3

What is app analysis?

Accepted Answer

App analysis is the practice of studying mobile apps to understand what they are built with, how they perform in the market, and how they compare against competitors. It combines App Store and Google Play data, ranking history, review signals, SDK and framework detection, and monetisation patterns into evidence a team can act on. Appnalysis automates this discipline as an agentic mobile app intelligence platform, so agencies, product teams and analysts can answer questions in minutes rather than weeks.

Question 4

Can I analyse any mobile app?

Accepted Answer

Yes. Appnalysis analyses any live iOS or Android app, so you can see where it ranks in the App Store and Google Play charts, how those rankings have moved, what it costs and how it is monetised, what reviewers actually say, and then all the way down to how it is built: the SDKs, frameworks, permissions, trackers and architecture behind it. You do not need a relationship with the developer, an SDK in their app, or their permission, because it is all read from the public listing and the shipped build. What is not readable from the outside, exact installs, exact revenue and retention, stays with the developer, and we say so rather than estimating it quietly. Name an app at Ask Appnalysis and you get an interpreted, citation-backed answer, not a raw data dump. The platform overview sets out the full signal set.

Question 5

What problem does Appnalysis solve?

Accepted Answer

Teams making mobile app decisions usually rely on fragmented research, vendor pitches, and assumptions. Appnalysis replaces guesswork with grounded insight, so teams can win pitches with evidence, choose technology with confidence, benchmark features against real competitor apps, and monitor copycats and new entrants as the market moves.

Question 6

How is Appnalysis different from other tools?

Accepted Answer

Most mobile market-intelligence tools, including Sensor Tower, data.ai, AppTweak, AppFollow, MobileAction, SocialPeta, Appfigures, and AppStoreSpy, focus on downloads, revenue estimates, rankings, keywords, reviews, or ad creatives. Appnalysis answers a different question: how apps are actually built, including features, SDKs, frameworks, monetisation, security signals, and architecture, across real iOS and Android apps. It is a decision layer, not a performance metrics tool. Appnalysis also serves regulators, oversight bodies, policy advisors, and researchers who need continuous, post-market, evidence-based visibility into how apps actually behave, complementing point-in-time audits and self-reported data.

Question 7

How do I get started?

Accepted Answer

Head over to ask and ask a question in plain English, or pick one of the example questions on that page.

Question 8

What is mobile app intelligence?

Accepted Answer

Mobile app intelligence is structured, decision-ready insight into how iOS and Android apps are built and behave in the real world, drawn from real app packages, App Store and Google Play signals, and broader ecosystem sources. It covers features, SDKs, frameworks, monetisation, security signals, and architecture, not just downloads or revenue estimates. Appnalysis delivers mobile app intelligence as an AI agent so teams can ask questions in plain English and get answers grounded in real evidence, without navigating dashboards.

Question 9

How is app intelligence different from app analytics?

Accepted Answer

App analytics usually refers to in-app or application performance monitoring tools such as Firebase, Amplitude, Mixpanel, Datadog, or New Relic. Those measure your own app's usage and performance from an SDK embedded inside it. App intelligence works from the outside in: it analyses real published apps across the market, including competitors you don't own, to answer how apps are actually built, monetised, and evolving. Appnalysis is app intelligence, not app analytics.

Question 10

How do I use Appnalysis with ChatGPT, Claude, Gemini, or Copilot?

Accepted Answer

MCP (Model Context Protocol) lets Claude, ChatGPT, Gemini, Copilot, Cursor, Zed, Windsurf, VS Code, Xcode and other MCP-capable assistants call Appnalysis as a specialist mobile intelligence Agent. The assistant handles the conversation; Appnalysis grounds every answer in real iOS and Android app data with citations, in an Agent-to-Agent loop. Answers come back tier-aware, from the same evidence base as the in-product Ask Appnalysis experience. See mcp for setup and supported clients.

Question 11

What is technographic data, and what does it show about an app?

Accepted Answer

Technographic data describes the technologies a product is built with and buys, rather than the company behind it or the people who use it. Applied to mobile, it means what a shipped app is actually made of: the framework or native toolchain, the analytics and attribution SDKs, the payment and subscription infrastructure, ad networks, and the third parties each of those brings with it. A store listing tells you what a company wants to be seen as; the build tells you what it committed to. Appnalysis detects that stack on live iOS and Android apps and tracks when it changes. See /insights/what-is-mobile-app-intelligence#app-technographics.

Question 12

What can I analyse with Appnalysis?

Accepted Answer

With Appnalysis you can analyse real iOS and Android apps across features, SDKs, frameworks, monetisation, security signals, architecture, and modern-vs-legacy patterns. Analysis is grounded in real app packages combined with platform App Store and Google Play data (charts, rankings, signals), regulatory and standards sources, and other mobile-sector data sources, so cross-platform comparisons and competitor benchmarking sit on real evidence rather than metadata alone.

Question 13

What is an MCP knowledge specialist?

Accepted Answer

An MCP knowledge specialist is a knowledge-domain MCP server that gives an AI coding agent access to information beyond the developer's own environment. Where a code-context MCP server extends the AI's reach into the developer's own code, files, or repos, a knowledge specialist extends it into external evidence such as documentation, API references, or in the case of Appnalysis, evidence about shipped mobile apps across the market.

Question 14

How does Appnalysis compare apps?

Accepted Answer

Each app is read the same way, so the comparison is like for like: store metadata, declared permissions, embedded SDKs and trackers, monetisation signals and ranking history. That means differences are directly comparable rather than a reading of two different marketing pages, and every point carries its source. Name two apps at Ask Appnalysis and the comparison comes back interpreted.

Question 15

What criteria can I use to compare apps?

Accepted Answer

Features and supported capabilities, the SDKs and frameworks behind them, platform coverage, monetisation model, store ratings and review signals, and ranking position over time. You do not have to choose the criteria up front: ask the question in plain language at Ask Appnalysis and Appnalysis selects the evidence that answers it.

Question 16

What is the difference between a code-context MCP server and a knowledge-domain MCP server?

Accepted Answer

Code-context MCP servers give the AI access to what the developer already has: their codebase, filesystem, repos, or infrastructure. Knowledge-domain MCP servers give the AI access to what the developer does not have: documentation, external APIs, or evidence about other apps. Most current MCP servers are code-context. Appnalysis is a knowledge-domain MCP server focused on evidence about shipped mobile apps across the market.

Question 17

Does Appnalysis use real-world data?

Accepted Answer

Yes. Appnalysis reads the real iOS and Android apps themselves, not just app store metadata, and combines that with App Store and Google Play charts and signals plus additional ecosystem sources. The result is grounded in what apps actually do.

Question 18

Is this a real-time analytics tool?

Accepted Answer

No. Appnalysis is designed to identify patterns and decisions across apps, not track real-time performance metrics.

Question 19

How is this different from just asking Claude or ChatGPT the same question directly?

Accepted Answer

Claude or ChatGPT answering directly from training data gives generic guidance that is potentially outdated and lacks linked sources. An MCP-connected AI coding agent calling Appnalysis reads current app packages, store listings, and public evidence, and returns findings with linked sources the AI can cite in its response. For questions about specific apps or specific technologies in specific peers, the difference is between an educated guess and a defensible answer with traceable evidence.

Question 20

Can I use AI to ask questions about what's happening on the App Store and Google Play?

Accepted Answer

Yes. Ask Appnalysis at ask is the in-product AI layer. You can ask things like "what's trending in Top Free Finance on iOS this week", "compare the SDK stack of two banking apps", or "what monetisation pattern does this app use". Answers are grounded in live App Store and Google Play signals, real iOS and Android app data, and curated reference documents, so you get evidence and citations rather than a generic LLM guess.

Question 21

How do I add MCP to Claude Code specifically?

Accepted Answer

Claude Code supports MCP server configuration through its own configuration file, which sits separately from any IDE integration. Adding a knowledge specialist like Appnalysis to Claude Code takes three steps: get your Appnalysis MCP endpoint URL and API token from your Appnalysis dashboard, add the server configuration to Claude Code's MCP config file, and test the connection with a specific question. The setup works whether Claude Code is running in the terminal, as Claude Agent inside Xcode, or in any other environment that surfaces Claude Code. Current step-by-step instructions live at the Appnalysis MCP setup docs at https://info.appnalysis.com/docs/mcp.

Question 22

Does using an MCP knowledge specialist mean I still need the legal or compliance conversation?

Accepted Answer

Yes. Knowledge specialists give the AI evidence to reason with. They do not replace the professional legal or compliance advice a team needs for specific obligations, jurisdiction-specific requirements, or defensible positions in an audit. This is the same distinction covered in Everyone Talks About Technical Debt, Nobody Talks About Legal Debt (https://info.appnalysis.com/insights/legal-debt): the working stack combines LLM speed with professional relationships and visibility layers. MCP knowledge specialists are the visibility layer.

Question 23

What kind of workflow is Appnalysis built for?

Accepted Answer

Appnalysis is built for teams whose work is increasingly AI-assistant-led rather than dashboard-first, and for teams whose deliverables need to be defensible with linked evidence rather than estimated numbers. The MCP integration means AI assistants can call Appnalysis directly. The evidence-first methodology means every insight traces to a publicly verifiable source. Together this fits agencies producing client-facing deliverables, product teams reasoning about competitors with defensible evidence, and enterprises where AI agents need auditable intelligence sources.

Question 24

Is Appnalysis a like-for-like replacement for AppMagic?

Accepted Answer

No, and it is not designed to be. AppMagic's ad intelligence library and monetisation intelligence for casual games are stronger than what Appnalysis offers on those specific dimensions. Appnalysis is built for evidence-first reasoning, AI-assisted workflow, and compliance analysis. Teams whose primary job is creative research and monetisation strategy for casual games are better served by AppMagic. Teams whose primary job is evidence-based reasoning, regulatory analysis, or AI-agent workflow are better served by Appnalysis.

Question 25

What are mobile app analytics tools?

Accepted Answer

Mobile app analytics tools are software platforms that measure user behaviour inside a mobile app. They work by installing an SDK inside the app, which reports events, sessions, and user actions back to the platform. The category includes product analytics (Mixpanel, Amplitude), platform-native analytics (Firebase, App Store Connect, Google Play Console), attribution tools (Adjust, AppsFlyer, Branch), engagement tools (Airship), event infrastructure (Segment), and performance monitoring (Sentry, Crashlytics). Each of those answers a question about your own app. For questions about apps you do not own, the category is app intelligence, which is what Appnalysis does. See how Appnalysis works.

Question 26

What is the difference between app market intelligence and app analytics?

Accepted Answer

App analytics measures what happens inside an app you own, using an SDK installed in that app. App market intelligence measures what happens across the wider app market, using publicly available signals and (for some platforms) user panel data. Analytics is first-party and precise about one app. Market intelligence is third-party and broader about many apps. See how Appnalysis compares for how the two sit side by side.

Question 27

When would I use first-party app analytics versus third-party market intelligence?

Accepted Answer

Use first-party analytics for questions about your own app. Use third-party market intelligence for questions about apps you do not own. Most working teams use both because they have questions in both categories. Appnalysis is the third-party half: ask it about any live app at Ask Appnalysis and the answer arrives with its sources.

Question 28

What are the best mobile app analytics tools?

Accepted Answer

The right tool depends on the question you need answered. For product analytics and user behaviour, Mixpanel and Amplitude are the reference tools. For platform-native basics, Firebase Analytics, App Store Connect, and Google Play Console cover core metrics. For attribution and marketing analytics, Adjust, AppsFlyer, and Branch specialise in that dimension. For crash and performance monitoring, Sentry and Crashlytics are the reference tools. None of them can tell you what a competitor shipped, because that needs public store and app-package evidence rather than an SDK inside the app. Appnalysis covers that side. See how Appnalysis works.

Question 29

What are good alternatives to a dedicated app intelligence tool if I only need basic competitor download and ranking estimates?

Accepted Answer

For basic ranking visibility, the platform-native tools (App Store Connect and Google Play Console) give you your own app's ranking data for free. For competitor ranking visibility, most dedicated tools require a paid tier. Free ranking trackers exist but tend to be limited to a small number of apps or countries. Appnalysis has a free tier that answers questions rather than renting you a dashboard, so it is worth a look before you commit. See pricing.

Question 30

Can I use analytics tools and intelligence tools together?

Accepted Answer

Yes, and most serious teams do. The two categories answer complementary questions. Analytics tells you what your users did. Intelligence tells you what other apps are doing. Together they cover the full landscape of what is happening inside your app and across your competitive set. See pricing for what each Appnalysis plan includes.

Question 31

What are the best SimilarWeb alternatives for mobile app intelligence?

Accepted Answer

The main alternatives to SimilarWeb worth considering for mobile app intelligence in 2026 are Sensor Tower (market-breadth incumbent), data.ai (gaming intelligence strength), AppMagic (accessible pricing with ad intelligence depth), AppTweak (ASO focus), Appfigures (indie developer focus), and Appnalysis (evidence-first analysis of shipped apps). Each serves a different job. Most serious teams use SimilarWeb for cross-channel behaviour and a mobile-specific tool for app-level depth.

Question 32

What is the difference between AppMagic and Appnalysis?

Accepted Answer

AppMagic is a dashboard-first market intelligence tool with particular strengths in ad intelligence, monetisation intelligence for casual games, and taxonomy classification. Appnalysis is an evidence-first intelligence platform with MCP-native integration for AI-assisted workflows, and regulatory and compliance analysis alongside market intelligence. They serve different jobs. Many teams use both.

Question 33

Is SimilarWeb worth it for mobile apps?

Accepted Answer

SimilarWeb is worth it for mobile apps when the primary job is cross-channel audience behaviour, market sizing across web and app together, or executive reporting where directional accuracy from a single vendor matters. It is less well-suited when the job requires release-level attribution, compliance verification, or reading what is actually inside a specific app package. For those questions, a complementary evidence-first tool typically earns its place in the stack.

Question 34

Is there a free Sensor Tower alternative?

Accepted Answer

There is no free tier of Sensor Tower itself, and the free tools that exist are usually rank trackers rather than intelligence platforms. Appnalysis has a free tier for evidence-first questions and paid tiers for wider chart and portfolio coverage, so you can test the workflow before committing. See pricing for what each tier includes.

Question 35

How is mobile app intelligence different from app analytics?

Accepted Answer

App analytics measures your own app: sessions, retention, funnels, revenue from your own instrumentation. Mobile app intelligence looks outward at apps you do not own, using public evidence such as store metadata, rankings and the shipped app itself. You need both, but only one of them can tell you what a competitor is doing. See how Appnalysis works for how the two fit together.

Question 36

What does Sensor Tower not show?

Accepted Answer

Dashboard-first market intelligence tools are built around estimated downloads, revenue and ad creatives. What they do not surface is the technical and regulatory evidence inside an app: which SDKs and trackers are embedded, what the privacy declarations actually say, and how that squares with the code that shipped. That is the layer Appnalysis is built for.

Question 37

What is an app analytics platform?

Accepted Answer

An app analytics platform collects and reports on app performance data so a team can make decisions from it rather than from opinion. Most platforms cover your own app's behaviour. An app intelligence platform such as Appnalysis covers the apps you do not own, using public store and app-package evidence. See the platform for where Appnalysis sits alongside traditional analytics tools.

Question 38

Which app store metrics actually matter?

Accepted Answer

Ranking position and category movement tell you where attention is going. Metadata changes, release cadence and rating trajectory tell you what a team is doing about it. Absolute estimates of downloads and revenue are the least reliable figures in the category, so treat them as direction rather than fact and anchor decisions on evidence you can verify.

Question 39

How does Appnalysis help agencies?

Accepted Answer

Agencies use Appnalysis to support pitches, advise clients, and reduce research time when analysing competitor apps.

Question 40

How does Appnalysis help product teams?

Accepted Answer

Product teams use Appnalysis to benchmark features, validate ideas, and make roadmap decisions.

Question 41

How does Appnalysis help enterprise organisations?

Accepted Answer

Enterprise teams use Appnalysis to reduce delivery risk, benchmark competitors, and support internal decision-making.

Question 42

Can regulators or policy teams use Appnalysis?

Accepted Answer

Yes. Appnalysis provides continuous, post-market visibility into how apps actually adopt platform features, security practices, SDKs, and standards across the mobile ecosystem. It complements point-in-time audits and self-reported data with structured, real-world signals, supporting evidence-based oversight by regulators, oversight bodies, policy advisors, and researchers.

Question 43

What kind of decisions can Appnalysis support?

Accepted Answer

Appnalysis supports product strategy, feature prioritisation, technology selection, market positioning, and ecosystem oversight decisions.

Question 44

Can I use AppMagic and Appnalysis together?

Accepted Answer

Yes, and many teams do. AppMagic provides strong market framing, creative research, and monetisation intelligence for casual games. Appnalysis provides evidence-first reasoning, compliance verification, and AI-assistant integration. The combination gives teams both the market framing they need for pitches and the evidence-based reasoning they need to defend recommendations.

Question 45

What do AI-generated apps usually get wrong?

Accepted Answer

Not the features, usually. It is the things nobody prompted for: dependencies pulled in wholesale, trackers and analytics SDKs arriving with a template, permissions requested more broadly than needed, and privacy declarations that do not match what shipped. Reading the built artefact is the only way to see which of those applies to yours.

Question 46

What should an app development strategy cover?

Accepted Answer

Beyond the roadmap, it should name the market you are entering, the rivals already there, the compliance obligations that apply to your category, and the third-party code you are willing to ship. Most strategies cover the first and skip the rest, which is where post-launch surprises come from.

Question 47

How do I audit an app I did not build myself?

Accepted Answer

Treat it as evidence rather than documentation. The store listing and the privacy declarations tell you what was promised; the shipped app package tells you what was actually built, including embedded SDKs, trackers, requested permissions and entitlements. You do not need the source code or the original team, which is what makes an inherited or outsourced app auditable at all. Appnalysis does that reading for you and cites what it found, so the quickest route is to name the app at Ask Appnalysis and ask what it ships.

Question 48

What are the best competitor monitoring tools for mobile apps?

Accepted Answer

It depends which question you are monitoring. For estimated downloads and ad creatives, dashboard-first market intelligence tools are the established choice. For monitoring what a rival actually ships, release by release, you need store and app-package evidence rather than estimates. Appnalysis is built for the second job and works inside your existing AI assistant via AI Agents.

Question 49

How do I find competitors I do not know about yet?

Accepted Answer

Work outwards from an app you already know. Similar-app relationships, the rest of a developer's portfolio, and category chart movement all surface names that were never on your list. Because those are graph lookups anchored on a known app, they find rivals by structure rather than by reputation.

Question 50

How many competitors should I track?

Accepted Answer

Small enough to review properly, wide enough to catch a surprise. In practice that is a handful of direct rivals you watch closely, plus a broader watchlist you sweep periodically for newcomers climbing the same charts. A list nobody reads is worse than a short list somebody does.

Question 51

Do I need an account to use Appnalysis?

Accepted Answer

Yes, you need an account to access the platform and run app analysis.

Question 52

Is there a free version?

Accepted Answer

Yes. Snapshot View is free, no card required. Register and you get conversational Ask Appnalysis, an app's current rank with its neighbours, a limited latest-version preview, and the global Top 25 charts. Your credit balance grows by 5 a day and saves up to 50, so it builds while you are away. Start at Ask Appnalysis or see pricing.

Question 53

What does App Store Intelligence include?

Accepted Answer

App Store Intelligence is £49.99 a month, or £499.90 a year with two months free. It unlocks everything the app stores can tell you: the full chart catalogue across all categories to Top 100 depth, ranking history, latest version and release history, listing changes over time, saved conversation history, and 1,000 credits a month. App Intelligence and Workflow Intelligence add SDK, monetisation and workflow depth, priced per deal. See pricing.

Question 54

How many credits do I get, and what happens when they run out?

Accepted Answer

On Snapshot View your balance grows by 5 credits a day and saves up to 50, so if you do not use it for a week you come back to a bigger balance. App Store Intelligence includes 1,000 credits a month. When the balance is empty, answers pause until your next daily top-up or the start of your next month, nothing is lost. App Intelligence and Workflow Intelligence allowances are agreed per deal. See the credit allowance row on pricing or start at Ask Appnalysis.

Question 55

Where can I see Appnalysis plans and capabilities?

Accepted Answer

See pricing for the full plan and capability comparison across Snapshot View (free), App Store Intelligence (£49.99 a month), App Intelligence, and Workflow Intelligence. App Intelligence and Workflow Intelligence pricing is set per deal.

Question 56

What's the difference between Snapshot View, App Store Intelligence, App Intelligence, and Workflow Intelligence?

Accepted Answer

Snapshot View is free once you register: conversational answers, current rank with neighbours, and the global Top 25 charts. App Store Intelligence adds the full chart catalogue across all categories to Top 100 depth, ranking history, and release history, for £49.99 a month. App Intelligence adds SDK, framework, monetisation and security visibility with category trend analysis. Workflow Intelligence adds saved apps, monitoring, alerts, exports (Looker, Power BI, Excel, OData), and AI-tool integrations via MCP. Ask anything at ask or see pricing for the full breakdown.

Question 57

Can I use Appnalysis without registering?

Accepted Answer

You can ask a couple of questions at Ask Appnalysis without an account, enough to see how the answers are built and cited. The credit accumulator only starts once you register for Snapshot View, which is free and needs no card. See pricing.

Question 58

Which plan includes ChatGPT, Claude, Gemini, or Microsoft Copilot integration?

Accepted Answer

Workflow Intelligence — connections to ChatGPT, Claude, Gemini, and Microsoft Copilot are delivered via the open Model Context Protocol (MCP). See pricing.

Question 59

Can I track how an app changes over time?

Accepted Answer

Yes, App Tracking. Available on App Intelligence (full history) and Workflow Intelligence (full history plus alerts). See pricing.

Question 60

How does Appnalysis pricing compare to SimilarWeb?

Accepted Answer

Pricing model comparisons vary by tier and use case, so the honest answer is to check the current pricing pages for both. Appnalysis publishes tier-based pricing transparently at https://info.appnalysis.com/pricing, charged per plan with a monthly credit allowance rather than per seat, and the free registered tier already covers the top 25 apps globally, which is enough to validate the platform on a real evaluation question before any contract conversation. SimilarWeb uses sales-led enterprise tiers, typically evaluated through their sales process.

Question 61

Do I need a paid ASO tool?

Accepted Answer

Not to get started. Keyword and metadata work on a single app can be done with store evidence and a competent assistant. Paid ASO suites earn their keep when you are managing many apps, many locales, or need historical keyword tracking. If your question is what a rival actually changed rather than which keywords moved, that is an app intelligence question and Appnalysis answers it at Ask Appnalysis. See pricing for where the free tier stops.

Question 62

Which apps can I analyse?

Accepted Answer

Any live app on the App Store or Google Play, across sectors and regions. Coverage is not a fixed list: name an app at Ask Appnalysis and it is analysed on demand, so competitors and new entrants are in scope from the day they ship.

Question 63

What if the app I want isn't available?

Accepted Answer

Most live iOS and Android apps can be analysed on demand, so it is worth naming the app at Ask Appnalysis first. If it genuinely cannot be reached, for example a regional-only or unlisted release, tell us through contact and we will look at coverage.

Question 64

What is mobile data intelligence?

Accepted Answer

Mobile data intelligence is the discipline of turning raw store and app-package observations into evidence a team can defend. Three things decide whether it counts: provenance, so every figure says whether it was observed or estimated; refresh cadence, because a figure without a date is a rumour in a market that moves in release cycles; and citability, so anyone can check the claim against the app, the version and the observation. Appnalysis is built to those three tests, which is why answers arrive with their sources attached. See what mobile app intelligence covers.

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