// Prompt gallery

Ask in plain language. Get store data back.

70 prompts you can paste straight into Claude, Cursor or any MCP client once AppmanAi is connected — or run as a slash command, since every one of them is registered on the MCP server with autocompleting arguments. Each shows what the call costs, the HTTP endpoint behind it, and the MCP tool your agent will reach for when there is a dedicated one.

Apps & competitors

Resolve an app by name, read its store profile, and line it up against its rivals.

Read an app profile

3 credits

The full store listing for one app in one country: title, subtitle, description, rating, installs, publisher.

HTTP endpoint GET /v1/apps/metrics/metadataMCP toolapp_metrics_metadataSlash command /app_profile
  • Prompt

    "What does com.discord look like on Google Play in Germany? Give me the title, subtitle, rating and install count."

  • Prompt

    "Pull the US App Store profile for Duolingo and summarise how its title and subtitle are using keywords."

Find similar apps

5 credits

The apps the store itself considers adjacent — a fast, honest competitor set you did not have to guess at.

HTTP endpoint GET /v1/apps/similarSlash command /similar_apps
  • Prompt

    "List apps similar to com.discord on Google Play in the US and tell me which three are the closest match."

  • Prompt

    "Who are the real competitors of my meditation app com.example.calmly in the UK App Store?"

Compare several apps at once

8 credits

One call for many package ids — the cheap way to build a competitor table.

HTTP endpoint GET /v1/apps/metrics/metadata/batchSlash command /compare_apps
  • Prompt

    "Compare com.discord, com.slack and com.microsoft.teams on Google Play US in one table: rating, installs, last update."

  • Prompt

    "Pull these five package ids at once and rank them by rating count."

Draft new store metadata

15 credits

AI-written title, subtitle and description options built from the app and its keyword surface.

HTTP endpoint GET /v1/generate/app-metadataSlash command /draft_metadata
  • Prompt

    "Generate three alternative title + subtitle pairs for com.example.calmly on the US App Store, each targeting a different keyword."

  • Prompt

    "Rewrite my Google Play short description for com.example.calmly so it covers "sleep sounds" without dropping "meditation"."

Keyword research

Find keywords worth chasing, size the demand behind them, and see which ones competitors already own.

Expand a seed keyword

5 credits

Grow one idea into a list of related search terms real users type.

HTTP endpoint GET /v1/keywords/suggestionsMCP toolkeyword_suggestionsSlash command /expand_keyword
  • Prompt

    "Expand "habit tracker" into related keywords on the US App Store and group them by intent."

  • Prompt

    "Give me 30 keyword ideas around "sleep sounds" for Google Play in the UK."

Profile one keyword

4 credits

Popularity, difficulty and language coverage for a single term — is it worth the fight?

HTTP endpoint GET /v1/keywords/metricsMCP toolkeyword_metricsSlash command /keyword_profile
  • Prompt

    "Profile the keyword "habit tracker" on the US App Store — popularity, difficulty, and whether a new app has a shot."

  • Prompt

    "Is "meditation" or "sleep sounds" the better target for a new iOS app in the UK? Profile both and recommend one."

Search-ads popularity for a keyword

4 credits

The raw SAP demand number behind a single term.

HTTP endpoint GET /v1/keywords/metrics/sapSlash command /keyword_popularity
  • Prompt

    "What is the search popularity score of "habit tracker" in the US?"

  • Prompt

    "Compare the SAP of "budget app" in the US, UK and Canada."

Score a whole keyword list

9 credits

SAP for many keywords in one call — how you prune a long brainstorm down to a shortlist.

HTTP endpoint GET /v1/keywords/metrics/sap/batchSlash command /score_keywords
  • Prompt

    "Score this keyword list for the US and sort it by popularity: habit tracker, daily habits, routine planner, streak tracker."

  • Prompt

    "Here are 40 candidate keywords — score them all and drop anything below the median."

See a keyword worldwide

10 credits

Where in the world a term actually has demand — the input to a launch-country decision.

HTTP endpoint GET /v1/keywords/suggestions/worldwideSlash command /keyword_worldwide
  • Prompt

    "Show me worldwide demand for "habit tracker" and name the five countries worth launching in first."

  • Prompt

    "Which markets search for "budget app" the most? I want to pick my next localisation."

Keywords an app should target

6 credits

The recommended keyword set for one app, derived from what it is and where it already ranks.

HTTP endpoint GET /v1/keywords/app/suggestionsMCP toolkeyword_app_suggestionsSlash command /app_keywords
  • Prompt

    "What keywords should com.example.calmly target on the US App Store? Rank them by opportunity."

  • Prompt

    "Give me the recommended keywords for com.discord on Google Play US and flag the ones it is not using in its listing."

Generate fresh keyword ideas

12 credits

AI-suggested keywords for an app — useful when the obvious terms are already saturated.

HTTP endpoint GET /v1/generate/keywordsSlash command /generate_keywords
  • Prompt

    "Generate new keyword ideas for com.example.calmly on the US App Store that its competitors are not targeting."

  • Prompt

    "Suggest long-tail keywords for my habit app that a small indie could realistically rank for."

Keywords competitors rank for

6 credits

The terms your rivals already own — the map of what you are up against.

HTTP endpoint GET /v1/keywords/app/competitorsSlash command /competitor_keywords
  • Prompt

    "Which keywords do my three UK competitors rank top-10 for? Start from com.example.calmly."

  • Prompt

    "List the keywords com.discord ranks for on Google Play US that I could plausibly target too."

Find the keyword gaps

7 credits

Where competitor keyword sets overlap — and, more usefully, where yours does not. The classic gap analysis.

HTTP endpoint GET /v1/keywords/app/overlapSlash command /keyword_gap
  • Prompt

    "Which keywords do my 3 UK competitors rank top-10 for that I don’t? Start from com.example.calmly."

  • Prompt

    "Show me the keyword overlap between com.discord, com.slack and com.microsoft.teams on Google Play US, and the terms only one of them owns."

Rank tracking

Where an app actually sits in search results — right now, over time, and across a whole keyword list.

Rank for one keyword

2 credits

A single position check: this app, this keyword, this country.

HTTP endpoint GET /v1/keywords/app/metrics/rankingsMCP toolkeyword_app_metrics_rankingsSlash command /keyword_rank
  • Prompt

    "Where does com.example.calmly rank for "meditation" on the US App Store?"

  • Prompt

    "Is com.discord in the top 10 for "chat app" on Google Play in Germany?"

Rank history for a keyword

6 credits

The dated series behind a position — did that update help, or did the ranking already move?

HTTP endpoint GET /v1/keywords/app/metrics/rankings/historyMCP toolkeyword_app_metrics_rankings_historySlash command /rank_history
  • Prompt

    "Chart com.example.calmly’s rank for "meditation" in the US over the last 3 months and tell me when it moved."

  • Prompt

    "Did my rank for "habit tracker" recover after the March release? Show the history and mark the turning points."

Ranks across many keywords

9 credits

One app, a whole keyword list, one call — the report you would otherwise build by hand.

HTTP endpoint GET /v1/keywords/app/metrics/rankings/batchMCP toolkeyword_app_metrics_rankings_batchSlash command /rank_report
  • Prompt

    "Check com.example.calmly’s US rank for all 25 keywords in my list and show only the ones outside the top 20."

  • Prompt

    "Build me a weekly rank table for com.discord across its 15 core keywords on Google Play US."

Who ranks top for a keyword

5 credits

The incumbents you would have to displace, in order.

HTTP endpoint GET /v1/keywords/top-appsMCP toolkeyword_top_appsSlash command /keyword_leaders
  • Prompt

    "Who ranks top-10 for "habit tracker" on the US App Store, and what do their titles have in common?"

  • Prompt

    "Show the top apps for "sleep sounds" on Google Play UK and how long each has held the spot."

Ranks for a keyword worldwide

12 credits

One keyword across every covered country — where you are strong and where you are invisible.

HTTP endpoint GET /v1/keywords/app/metrics/rankings/worldwideSlash command /rank_worldwide
  • Prompt

    "Show worldwide ranks for "meditation" for com.example.calmly and list the countries where I am outside the top 50."

  • Prompt

    "Which markets does com.discord rank top-5 for "chat" in?"

Spot a store algorithm shift

8 credits

Tells you when a ranking move was the store changing its mind, not you changing your listing. Saves a lot of wrong conclusions.

HTTP endpoint GET /v1/keywords/metrics/volatilitySlash command /algorithm_check
  • Prompt

    "Did the US App Store algorithm shift for "habit tracker" recently, or is my drop self-inflicted?"

  • Prompt

    "Check for ranking anomalies around "meditation" in the US over the last month."

Algorithm shifts worldwide

12 credits

The same anomaly check across every country — the way to tell a global reshuffle from a local one.

HTTP endpoint GET /v1/keywords/metrics/volatility/worldwideSlash command /algorithm_check_worldwide
  • Prompt

    "Was there a worldwide ranking shake-up for "meditation" this month, or only in the US?"

  • Prompt

    "Check for worldwide algorithm anomalies on "budget app" and tell me which markets were hit hardest."

Charts & categories

Top charts, category positions, and how they moved.

Top charts for a category

5 credits

The current leaderboard for a category and country.

HTTP endpoint GET /v1/categories/top-appsSlash command /top_charts
  • Prompt

    "Show the top 50 Health & Fitness apps on the US App Store right now."

  • Prompt

    "What are the top free Finance apps on Google Play in Brazil?"

Category ranks for an app

3 credits

Every chart position one app currently holds.

HTTP endpoint GET /v1/apps/category-rankingsSlash command /app_chart_ranks
  • Prompt

    "What category ranks does com.example.calmly hold on the US App Store?"

  • Prompt

    "List every chart com.discord appears in on Google Play US and its position in each."

One category position

2 credits

A single chart position — the cheapest possible check.

HTTP endpoint GET /v1/apps/category-rankings/singleSlash command /chart_position
  • Prompt

    "What is com.example.calmly’s rank in US Health & Fitness today?"

  • Prompt

    "Is com.discord still top-100 in Google Play US Communication?"

Category rank over time

6 credits

The chart trajectory — launches, spikes, and slow slides.

HTTP endpoint GET /v1/apps/category-rankings/historySlash command /chart_history
  • Prompt

    "Chart com.example.calmly’s US Health & Fitness position over the last 6 months."

  • Prompt

    "Did com.discord’s category rank move after its last big update? Show the history."

Where new apps enter the charts

5 credits

The entry positions across categories — what a realistic launch looks like from day one.

HTTP endpoint GET /v1/apps/category-rankings/startSlash command /launch_benchmark
  • Prompt

    "What rank do new apps typically enter the US Health & Fitness chart at?"

  • Prompt

    "Compare starting chart positions across categories on Google Play US so I can pick where to launch."

Reviews & ratings

What users are actually saying, and how the rating got where it is.

Read app reviews

4 credits

Raw reviews for an app — the source material for any complaint or feature analysis.

HTTP endpoint GET /v1/apps/reviewsSlash command /app_reviews
  • Prompt

    "Pull the latest US App Store reviews for com.example.calmly and group the complaints by theme."

  • Prompt

    "What are the most common 1-star complaints about com.discord on Google Play US?"

Rating distribution

6 credits

The star histogram behind the average — a 4.2 made of 5s and 1s is a different app from a flat 4.2.

HTTP endpoint GET /v1/apps/metrics/ratings/worldwideSlash command /rating_breakdown
  • Prompt

    "Show the star breakdown for com.example.calmly on the US App Store — how polarised is it?"

  • Prompt

    "Compare the rating distributions of com.discord and com.slack."

Rating over time

5 credits

How the average rating moved — the clearest signal of whether a release landed.

HTTP endpoint GET /v1/apps/metrics/ratings/historySlash command /rating_history
  • Prompt

    "Chart com.example.calmly’s US rating over the last year and mark where it dropped."

  • Prompt

    "Did com.discord’s rating recover after its redesign? Show the history."

Installs

How fast an app is growing worldwide — an exact count on Google Play, an estimate on the App Store.

Installs over time

10 credits

Total installs per day and the daily gain, worldwide. Google Play reports its exact count; App Store figures are estimates, best read as a trend.

HTTP endpoint GET /v1/apps/metrics/installs/historyMCP toolapp_metrics_installs_historySlash command /installs_history
  • Prompt

    "How many installs did com.discord gain on Google Play over the last 30 days? Give me the total and the average per day."

  • Prompt

    "Is Duolingo’s App Store install growth speeding up or slowing down this month?"

  • Prompt

    "Compare install growth of com.discord, com.slack and com.microsoft.teams on Google Play over the last two weeks."

Revenue

What an app earns from store purchases — an estimate on both stores, worldwide and by country.

Revenue estimate

10 credits

Estimated gross and net revenue over the last 30 days, with a likely range and the split by country. Neither store publishes revenue, so read it as a size, not an exact figure.

HTTP endpoint GET /v1/apps/metrics/revenue/worldwideMCP toolapp_metrics_revenue_worldwideSlash command /revenue_estimate
  • Prompt

    "Roughly how much does com.tinder make on Google Play a month, and which countries bring in the most?"

  • Prompt

    "Compare the estimated monthly revenue of Calm and Headspace on the App Store."

  • Prompt

    "Which markets drive Duolingo’s App Store revenue? Give me the figures in euros."

Reference data

The lookup tables — cheap calls your agent makes to get country codes and categories right.

Supported countries

0 credits

Which countries are covered, in which languages, at what depth per store.

HTTP endpoint GET /v1/resources/countriesMCP toollist_countriesSlash command /check_coverage
  • Prompt

    "Which countries does AppmanAi cover for the App Store, and at what depth?"

  • Prompt

    "Is Brazil fully covered for Google Play? Give me the country code and language."

Store categories

0 credits

The category ids the chart endpoints expect — look them up rather than guessing.

HTTP endpoint GET /v1/resources/categoriesSlash command /category_ids
  • Prompt

    "List the Google Play categories and their ids."

  • Prompt

    "What is the App Store category id for Health & Fitness?"

Available features

0 credits

What data exists per store and country — the same feed behind the coverage table.

HTTP endpoint GET /v1/resources/featuresSlash command /feature_check
  • Prompt

    "Which data features are available for the App Store in Japan?"

  • Prompt

    "Is keyword rank history available for Google Play in India?"

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