Asonix

Read a tracked app's stored AI recommendation benchmark: coverage, mention/recommendation/App Store citation rates, weekly history and topic/prompt summaries with run IDs. Not ASO visibility. No collection or model calls. Defaults to four weeks; no benchmark returns NOT_STARTED. Use list_apps to resolve the app and storefront.

Read cached recommendation themes, exact answer quotes and description passage matches. Includes analysis status, timestamps and its own evidence denominator (which can differ from the overview). No generation or refresh. Full descriptions stay in get_app_overview; this returns matched passages and description metadata. Use theme and evidenceLimit to drill into supporting quotes.

Read a saved AI Visibility answer by runId, or recent answers for one promptId (exactly one required). Defaults to one run; use nextBefore for older prompt runs. Citations, resolved mentions and classification coverage are included. includeTrace adds captured searches; their sources belong to a search call, not an individual query. No external requests or collection.

Add an App Store app to the current Asonix workspace by App Store ID or app name/search query.

Create a private unreleased app idea in the current Asonix workspace. Use this when the user's app is not on the App Store yet; then add researched keywords with add_keywords.

Find App Store apps by name or developer, to get an app's appStoreId; use it before add_app when the user gives an app name. Returns at most 12 apps, in Apple's name-search order, which is not the keyword ranking: for who ranks for a keyword, use get_keyword_top_apps. Screenshot URLs only with includeScreenshots.

Add one or more tracked keywords to an app in the current Asonix workspace and queue ranking refresh so popularity, difficulty, opportunity, and rank evidence can be collected. For agent-researched candidates, call evaluate_keywords first and add app-relevant primary or secondary terms.

Star/favorite a keyword research keyword in the current workspace by keywordId or term.

Remove a keyword research keyword from the current workspace favorites by keywordId or term.

List apps tracked in the current Asonix workspace: names, App Store IDs, platforms, tracked storefronts, ratings and tracked-keyword counts. Pages with limit (default 20, max 100) and offset; q filters by name, developer, genre or ID. For one app's details use get_app_overview; for its keywords, list_tracked_keywords.

One tracked app's tracked keywords with rank, popularity, difficulty, relevance and an ad summary, in one storefront or all. Use it for "how are my keywords doing". For the app's listing or ratings, or an untracked app, use get_app_overview. Paged: limit (default 30, max 100) and offset. relatedTools gives the next page, refresh_app_rankings when ranks are over 18 hours old, and the overview.

An App Store app's Meta ads (Facebook, Instagram, Messenger, Audience Network) from Asonix's monthly Ad Library crawl, worldwide, for any app: active ads with text, call to action, start date, platforms and an Ad Library link, and past ads with their dates. status not_found is not proof it never ran Meta ads: the crawl covers the App Store ads it found.

Queue a ranking refresh for one tracked app's keywords not checked in the last 18 hours, and return at once with jobIds. Omit country for every tracked storefront; one refreshed recently is listed in coolingDown. A refresh can take 10 minutes or more, so do not wait in a loop: tell the user ranks are updating, then call get_ranking_refresh_status after pollAfterSeconds, or read list_tracked_keywords later.

Report progress of a ranking refresh started by refresh_app_rankings, or of the rankingRefreshJob id returned by add_keywords: keywords done, failed, and remaining per storefront. Poll no more often than pollAfterSeconds. When finished is true, read the full updated ranks with list_tracked_keywords.

Return top scored keyword opportunities across all tracked apps in the current Asonix workspace, including shipped and unreleased apps, all countries, and rank/popularity/difficulty/opportunity evidence. Use this for requests like analyzing all apps or finding the top 100 opportunities without reading a local database. Each opportunity has checkedAt; call refresh_app_rankings for an app whose ranks are old.

Check candidate keyword terms against one tracked app's existing tracked keywords without dumping the full keyword table. iOS keyword rows include cached topAdvertisers; pending observations queue in the background. Use this before calling a candidate a missing gap, before add_keywords, and instead of inspecting local database code.

An app's overview in one storefront, for any App Store app. storeListing is the storefront's listing and rating. Lists are counts: include adds the full description, countryRatings, listingCountries or keywordSuggestions. tracked says whether the workspace tracks it; its keywords: list_tracked_keywords. runsAppleSearchAds: yes if a sampled search ad showed the app in any country Asonix samples (7 days); unknown is not proof it does not advertise.

Return tracked ASO visibility score history for an app, useful for momentum and trend analysis.

Return rank, popularity, or difficulty history for one tracked app keyword in a storefront.

Return stored public rating history for any App Store app, tracked or not, with deltas: the history the Inspect dialog shows. Asonix records rating history only while some workspace tracks the app, so an app no workspace has tracked has none; for current ratings of any app, use get_app_overview. Omit country or pass "all" to return every observed storefront plus the all-countries aggregate; pass a country code to return only that storefront.

Where any App Store app placed in Apple's iPhone top charts (free, paid, grossing; overall and by category) per storefront: best rank, days on chart, latest position. days: 7, 30 (default), 90 or 365. includeDailyCells adds a cell per chart per day: a number is the best position, -N absent from the top N, e empty chart, x not captured, u not collected yet, p pending; 90 and 365 days cover one storefront. iPad and Mac apps: iphone_only.

Refresh and return Asonix keyword suggestions for one tracked app and storefront. Includes suggestionRelevance rows and inline metadata-plan relevanceScore/relevanceStatus; missing scores queue in the background.

Start keyword research for a tracked app in one call: Asonix suggestions, known public rankings and market keyword opportunities, each with the app's relevance. It can refresh the suggestion list, which spends the app's daily budget. Seed searches are checked privately unless storePublicly is true. Pending ad observations and relevance scores fill in on a later call. Classify candidates with evaluate_keywords before recommending or adding them.

Extract keyword opportunities from competitor public rankings and compare them against the tracked app. Includes relevanceScore/relevanceStatus for the target app, not the competitors; missing scores queue in the background. Provide competitorAppStoreIds, or provide a seed keyword to discover competitors from a private live SERP unless storePublicly is true. Rank and classify candidates with evaluate_keywords before recommending or adding them.

Build and return localization and translated market keyword opportunity requests for one tracked app.

Return known public App Store keyword rankings where an app appears in collected SERPs.

Search Asonix keyword research summaries by query, market, platform, scores, and market estimates. iOS keyword rows include cached topAdvertisers; pending observations queue in the background, so retry this tool later.

App-specific relevance (0–100) of up to 100 keywords for a tracked app, from the same scorer as the UI. Returns at once with ready, pending, failed or unavailable for each keyword. Pending is not zero: call again after 3 seconds or more, backing off. retry=true retries failed work after its cooldown. Adds nothing to tracking or public research. country defaults to us and platform to ios.

Rank and classify candidate keywords by Asonix popularity, difficulty and opportunity. Use it before recommending keywords or calling add_keywords. Known keywords reuse stored scores; up to 20 new ones per call are scored privately, without adding them to public research. Pass popularityScore and difficultyScore to judge your own values. appStoreId adds app relevance; pending is not zero (get_keyword_relevance).

Who ranks for a keyword in one storefront; appStoreId gives that app's rank. Uses results Asonix checked in the last 18 hours, else a private live check; saves nothing. Adds stored scores when Asonix has them; to score a new keyword, use evaluate_keywords. To find an app by name, use search_apps. runsAppleSearchAds: yes if a sampled search ad showed the app in any country Asonix samples (7 days); unknown is not proof it does not advertise.

Apps seen in native App Store search ads for one iPhone keyword in one Apple Ads country: the last 7 days' check coverage, last seen, and 30 days of history. Cached only, no live Apple request; pending collection fills in on a later call. Absence does not prove an app stopped bidding or was outbid. Needs country and exactly one of keywordId or term.

Keywords where an iPhone app's App Store search ads were seen in the last 30 days, in all countries or one. Asonix checks each keyword about once a day, so a missing keyword may still be bid on. observedSharePercent7d is the share of the last 7 days' checks that showed the ad, not impression share. organicRank is null when the app is not in the latest results. status unavailable means ad data is off, not no ads.

Return keyword popularity or difficulty history for an Asonix keyword, with cached topAdvertisers for eligible iOS keywords. Pending advertiser observations are queued; retry later.