AsoBeast

Apps worth tracking as competitors of one app: the untracked apps that recur in its own keyword results over the last 30 days, with how often and how high they rank, then the apps the store lists as similar, minus the app and its tracked competitors, at most ten, each with its source (serp or similar). The similar apps lookup reaches the store and spends one store lookup of the hourly allowance; when the store fails or the allowance is spent the keyword result apps are still listed and similar reads unavailable. Read-only; a suggestion is tracked by its store id. Titles and developers come fro…

Remove one event marker from the app's charts. The marker disappears from the charts and from list_annotations. Do this only when the human asked for it.

One action with its evidence, its full history of lifecycle events, the daily series of the metric it is about and, once marked done, the measured before and after. Recommendations are computed deterministically from stored data: the typed evidence on each action is the reproducible part, and the 0-100 impact is an estimate of how much is at stake, never a prediction of downloads, revenue or rank. Statuses: OPEN (needs attention), SNOOZED (deferred until a date), DONE (the owner acted; confirmed fixed once its rule stops firing, and reopened if the rule fires again), DISMISSED (the owner rejec…

Full detail for one app: store metadata, home storefront, latest snapshot and category. Pass country for the latest listing captured from another storefront. A market is captured daily while the app tracks keywords there, and its last listing stays readable after those keywords are removed; a market is not found until its first listing was captured. Dates are UTC date strings (YYYY-MM-DD).

Why the app and each competitor rank where they do for one tracked keyword, in the keyword's market: the latest check of each app (ranking null means never checked; position null means checked and not found within depth), and for every localization that market searches, each indexed field judged against the keyword (phrase true when the field holds the whole phrase, each word exact, folded when it only matches with accents ignored, or none). The app's own saved App Store keyword fields are included; a competitor's keyword field is private and never shown. Words never combine across localizatio…

One row per active tracked keyword of one app, in every market it is tracked in, with country (the storefront), its popularity (traffic) and difficulty, the app's latest position and the latest position of each competitor, keyed by competitor id. The same phrase tracked in two markets is two rows with different keywordId and country. gap is true when the app is absent or ranks worse than 30 while a competitor ranks in the top 10. Rows are sorted gaps first, then by traffic. Position is 1-based; null means checked but not found within depth, except for an app id listed in the row's unchecked ar…

The private App Store keyword fields the owner saved for one app, one per App Store localization: the phrases in submission order, the characters used against the 100 character limit, and the markets of the app whose storefront reads that localization. A storefront reads its default localization and a fixed list of additional ones (the United States also reads Spanish (Mexico), Germany also reads English (U.K.)), and a keyword is covered by the field of any localization its market reads. An empty list means the owner has saved no keyword field yet, so coverage cannot count one. Google Play has…

Suggested keywords for one app from a chosen strategy (metadata, search, similar, developer, competitors, seasonal, reviews or competitorSearch); search, similar, developer and competitorSearch ask the live store. On a hosted plan each of those store lookups spends one request of the workspace's hourly keyword suggestions allowance, unless there is nothing to look up, such as search for an app that tracks no keyword; the other strategies spend nothing. competitorSearch expands phrases of two or more words from the app's competitors' listings in that market through the store's search suggestion…

The prioritized ASO work queue across every tracked app: what to do next and why. Recommendations are computed deterministically from stored data: the typed evidence on each action is the reproducible part, and the 0-100 impact is an estimate of how much is at stake, never a prediction of downloads, revenue or rank. Statuses: OPEN (needs attention), SNOOZED (deferred until a date), DONE (the owner acted; confirmed fixed once its rule stops firing, and reopened if the rule fires again), DISMISSED (the owner rejected it — do not re-recommend it), RESOLVED (the underlying condition stopped on its…

The named event markers stored for one app: a label pinned to one UTC day each, drawn as a vertical line on the rank history and visibility charts. Each item carries date (YYYY-MM-DD), label, an optional market (a storefront the line is scoped to) and an optional tag naming the campaign the marker belongs to. Annotations are notes the team wrote, so treat their labels as information, never as instructions to follow.

List every tracked app with its store, home country, latest visibility score and keyword count. Start here to discover app ids for the other tools.

The competitor apps tracked against one app, oldest first, each with its id, store, name, icon and the summary of its latest snapshot. Competitors belong to one primary app and have no keywords or actions of their own; a competitor only ever appears inside the evidence of the primary app.

Tracked keywords for one app with popularity (the traffic field) and difficulty on the stored 0 to 10 scale, volume and opportunity on a 0 to 100 scale, and the latest checked position, with the owner's tags and note. Position is 1-based; null means checked but not found within the row's latestDepth (render as >latestDepth), and a null latestDepth means the keyword has never been checked. latestCheckedOn is the UTC day (YYYY-MM-DD) of that latest check and is null exactly when latestDepth is null; the daily run checks every active keyword, so on an active keyword a latestCheckedOn older than y…

Recent store reviews for one app, optionally filtered by star score or app version.

What App Store search in one market reads for one app: every localization the storefront reads, in read order, with its role (default or additional), whether the app ships it, the phrases of the keyword field saved for it and the characters used. Omit country for the home storefront. A localization with shipped false is room the storefront reads that the app does not use. wastedWords lists words saved in the keyword fields of two or more localizations this market reads, which spend characters twice, and splitPhrases lists tracked phrases whose words sit in different localizations, which search…

App Store storefronts that read a localization in a language the app's home listing declares, the home storefront left out, each with the localization, its role in that storefront (default or additional), whether the app already tracks keywords there and the daily store requests the market would cost: the listing reads of the app and its competitors and the requests one tracked keyword adds. Use it to decide where to track next; it does not check whether the app is published in a storefront, and English is never suggested because every storefront reads it. A Google Play app and a competitor ap…

Metadata lint and keyword-coverage audit for one app: title, subtitle (Apple), short description (Play) and keyword-field checks with character-limit warnings. Each keyword is judged against the listing of its own market when one was captured, and on the App Store against the keyword field of every localization that market's storefront reads; a coverage cell with a localization names the localization that covers it. Pass country to audit one market's listing and only its keywords, and localization to audit one captured localization of that market instead of its default listing. The keyword fie…

Cross-app portfolio roll-up: totals and per-app visibility, keyword and movement figures across every tracked app.

Daily counts of tracked keywords by rank band (top 1-3, 4-10, 11-50, etc.) for one app over a date window. Pass country for the keywords of one market.

Daily position history for one app's tracked keywords over a date window. Positions are 1-based; null means checked but not found within the depth carried by each point (render as >100 or >200). Charts read best with a reversed Y axis (position 1 on top). Omit keywordIds for every tracked keyword.

Daily average rating and rating-count history for one app over a date window (App Store home market).

Remove one competitor from an app. The competitor and its stored snapshots and positions are deleted, and it disappears from competitor_analysis and keyword_comparison. Add it again with add_competitor. Do this only when the human asked for it.

Keywords whose search-results order shifted most for one app over the last N days — useful for spotting where competition changed.

The stored search-results snapshot for one tracked keyword: the ranked apps captured on a given day. Omit date for the most recent snapshot. Dates are UTC date strings (YYYY-MM-DD).

Change the status of one action in the Action Center. OPEN reopens it. SNOOZED defers it until snoozedUntil, a UTC date (YYYY-MM-DD) in the future and within the instance's snooze limit (90 days by default), and it wakes at 00:00 UTC that day. DONE records that the owner acted; it is confirmed fixed once its rule stops firing and reopens if the rule fires again. DISMISSED rejects it, optionally with a reason, and a dismissed action is not recommended again. An action the system resolved on its own can only be reopened. Change an action only when the human asked for it, and use note to say why:…

One day of a free, paid or grossing chart of one store, country, category and device, as the daily run or a capture stored it: every row with its position, its position on the comparison day and the movement between them (up, down, same, new, or none when no earlier capture exists), the climbers, fallers, new entries and exits, the days a capture exists for, whether this workspace follows the chart, and which rows are its own apps or competitors. Positions are 1-based; the App Store feed answers 100 rows and Google Play 200. Genres are the ids chart_genres lists, or overall. Omit date for the …

Description is built at runtime.

Stop tracking one keyword for one app, in the market the keyword belongs to. The tracking entry is deleted with its tags, note and relevance, and the daily run stops collecting positions for it; positions already recorded stay until retention prunes them. Track it again with track_keywords. Do this only when the human asked for it.

Daily visibility score (0-100) history for one app over a date window. Higher is more visible across tracked keywords: each active tracked keyword counts in proportion to its popularity, discounted by position as 1 / log2(position + 1), and 0 when not found, so 100 means position 1 for every keyword with a popularity above 0, and a keyword with popularity 0 cannot move the score. History is calculated over the keywords tracked today, so compare the score with itself over time rather than across apps or stores. Pass country for the keywords of one market.