aso-keyword-toolkit
Health Uyari
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 5 GitHub stars
Code Uyari
- network request — Outbound network request in asokit/cli.py
- network request — Outbound network request in asokit/cpp_apply.py
Permissions Gecti
- Permissions — No dangerous permissions requested
Bu listing icin henuz AI raporu yok.
Free App Store keyword research and ASO toolkit — per-storefront keyword data from Apple's public endpoints, competitor analysis, metadata validation, and App Store Connect sync. 60 countries, no subscription.
ASO Keyword Toolkit — free App Store keyword research from the command line
App Store Optimization keyword research, competitor analysis, and App Store
Connect metadata automation — for 60 countries, from your terminal, for free.
Find the keywords real users type in any App Store storefront. See who ranks for
them and how beatable they are. Discover where your app is already winning and
where it's invisible. Then write, validate, and publish localized metadata
without touching the App Store Connect web UI.
pip install aso-keyword-toolkit
asokit init --app-id 1234567890 --markets de,fr,jp
asokit research --all
That's it. No account, no API key, no subscription, no trial. The research path
uses two public Apple endpoints and has zero dependencies.
Why this exists
ASO tools start around $19/month and climb into the hundreds. A large part of
what they sell is packaging of two Apple endpoints that are open to anyone: the
App Store's autocomplete and the iTunes Search API. This gives you direct
access to both, adds the analysis layer on top, and connects the result
straight to the App Store Connect API so the whole loop runs from one command.
It is genuinely useful on its own, and it is also an honest floor: it will
never invent a search-volume number that Apple does not publish. More on that
in What the numbers mean.
Installation
pip install aso-keyword-toolkit
pipx or uv — if you want it as an isolated global tool:
pipx install aso-keyword-toolkit
uv tool install aso-keyword-toolkit
For development, or if you want to read the code first:
git clone https://github.com/ggapp1/aso-keyword-toolkit
cd aso-keyword-toolkit && pip install -e .
App Store Connect sync needs two extra libraries for JWT signing. Keyword
research does not:
pip install "aso-keyword-toolkit[connect]"
Rendering App Store creatives (asokit assets render) also needs Pillow:
pip install "aso-keyword-toolkit[connect,render]"
Claude Code plugin
The repo doubles as a Claude Code plugin
marketplace. Installing it gives your agent a six-phase ASO playbook with
review gates, wired to this CLI:
/plugin marketplace add ggapp1/aso-keyword-toolkit
/plugin install aso-keyword-toolkit@aso-toolkit
The skill calls the asokit CLI, so install that too (above). Then ask
Claude to research a market, or invoke the skill directly with/aso-keyword-toolkit:aso-localize. It runs the research, reads the report,
drafts metadata that respects Apple's character and duplication rules, and
stops for your review before anything is published.
Getting started in one command
If your app is already on the App Store, let the toolkit write your config:
asokit init --app-id 1234567890 --markets de,fr,jp
It reads your live listing, looks at the apps ranking alongside you, and
derives starter seed keywords from what those apps actually call themselves:
reading your listing in the US store...
Budget Expense Tracker — Finance
looking at apps that rank alongside it (this takes a moment)...
read 68 competitor listings
wrote asokit.json with 16 seeds and 3 market(s)
Suggested seeds:
expense tracker
budget planner
money manager
spending
receipts
savings
...
Your app ID is the number in your App Store URL
(apps.apple.com/app/id1234567890). Starting from scratch instead?asokit init writes a template you can fill in by hand.
Check everything is ready before a long run:
asokit doctor
config asokit.json — 3 market(s)
apple api reachable — 10 suggestions for a test query
connect not configured (only needed to push metadata)
ready
App Store keyword research
asokit research --market de
Every seed goes through the App Store's autocomplete for that specific
storefront, harvesting what Apple suggests to users in that country. Every
candidate is then scored against the top 50 ranked apps there.
Real output from the German App Store, tracking a budgeting app:
| # | keyword | pop | ac-rank | seeds | comp | median top-5 ratings | exact-title | our rank | opp |
|---|----------------------------|-----|---------|-------|------|----------------------|-------------|----------|-----|
| 1 | kostenkontrolle | 10 | 1 | 1 | 1 | 23 | 1 | — | 18 |
| 2 | savings goals | 10 | 1 | 1 | 2 | 240 | 1 | — | 16 |
| 3 | ausgaben tracker | 11 | 1 | 2 | 3 | 2,697 | 1 | 1 | 15 |
| 4 | geld sparen | 11 | 1 | 2 | 3 | 1,899 | 1 | 13 | 15 |
| 5 | haushaltsbuch | 9 | 2 | 1 | 3 | 8,592 | 8 | 1 | 13 |
| column | what it tells you |
|---|---|
pop |
autocomplete-derived ranking proxy — higher means Apple surfaces it sooner |
ac-rank |
best position across every seed that surfaced it |
seeds |
how many different seeds led to it (breadth of relevance) |
comp |
competition tier 1–5, from median rating count of the top 5 apps |
exact-title |
how many of the top 10 put this exact term in their title |
our rank |
where your app currently sits, if it's in the top 50 |
opp |
pop + (5 - comp) * 2 — a sort key, not a verdict |
A term at comp 1 whose top-5 apps have two dozen ratings is a real opening. A
term at comp 5 belongs to someone with a marketing budget.
Each run also prints the headline takeaways so you don't have to read the whole
table:
aso/de/report.md
least contested: kostenkontrolle, savings goals
you already rank: ausgaben tracker (#1), haushaltsbuch kostenlos (#1), budget planner (#2)
winnable gaps: kostenkontrolle, savings goals
Responses are cached on disk, so re-running the same market weeks later to
measure whether your changes worked costs almost nothing.
After a multi-market run, asokit digest prints every market in one block —
the top targetable terms by opportunity, what you already rank for, and the
off-category terms to ignore — which is the view you want open while writing
metadata for many locales. It reads the scores.json files; no network.
Competitor analysis
Every report ends with the apps that kept appearing across your queries. A
rival's title is their keyword strategy, stated publicly:
| app | ratings | top-5 appearances | best rank |
|--------------------------------|---------|-------------------|-----------|
| Ausgaben Budget Planner Fleur | 1,899 | 20 | 1 |
| Monefy: Ausgaben manager | 4,710 | 18 | 2 |
| Haushaltsbuch MoneyStats | 22,435 | 18 | 2 |
Autocomplete mixes competitor app names in with genuine queries, which
quietly corrupts keyword research. Those are detected and listed separately
rather than scored as opportunities — including in Japanese and Chinese
listings, which join name and tagline with ・ and : instead of :.
Off-category detection
Some terms score beautifully and belong to somebody else entirely. Searchingmoodle in the US store looks like a strong lead for a mood app; it returns
Education software. tracker detect returns AirTag finders. self-help credit union returns a bank.
When your config has an appId, the toolkit reads your App Store category and
compares it against the apps actually ranking for each term. Anything answered
by a different category is moved to its own section:
| term | pop | comp | who actually ranks |
|------------------------|-----|------|--------------------|
| moodle | 10 | 1 | Education |
| self-help credit union | 9 | 5 | Finance |
Real output — both scored well enough to top the list for a health app, and
neither is worth a character.
60 storefronts, every language
asokit storefronts # list all of them
asokit storefronts --check jp # verify one against the live endpoint
Japan (jp) header=143462-4,29
suggestions for '家計簿': 家計簿, 家計簿アプリ, 家計簿 無料 人気, 家計簿 レシート, 家計簿 共有
Country selection uses the X-Apple-Store-Front header. The cc= query
parameter you'll find in older blog posts does not work — Apple accepts it
and silently returns US results, which is an excellent way to ship a German
keyword set built entirely from American data. This toolkit gets it right and
gives you --check to prove it.
Non-Latin scripts, accents, and compound-word languages are first-class.
Diacritics matter more than people expect: in the Spanish App Store,credito and crédito return different suggestion sets.
ASO metadata validation
The most expensive mistake in App Store metadata is repetition. Apple indexes
your app name, subtitle, and keyword field as a single pool and combines
words across them. Repeating a term you already used buys nothing and burns
part of a 100-character budget you can't extend.
asokit metadata check de.json
--- name (26/30) ---
Budgeteer: Expense Tracker
--- subtitle (24/30) ---
Haushaltsbuch & Finanzen
--- keywords (71/100) ---
budgetplaner,ausgaben,sparen,kostenkontrolle,quittungen,einnahmen,konto
All fields within limits. No repetition across name, subtitle and keywords.
It catches what actually goes wrong:
- fields over the 30 / 30 / 100 character limits
- a keyword that already appears in your name or subtitle
- a keyword that shares a stem with one —
trackversustracker - a word duplicated between name and subtitle
- the same keyword listed twice
a, b, cspacing in the keyword field, which silently costs you characters- a localization with no description, which blocks submission outright
That last one is the trap in a research-driven workflow: you localize name,
subtitle and keywords from research data and leave the long-form copy alone.
App Store Connect does not fall back to your primary locale for the fields
you skip — it stores them empty, and an empty description means the version
cannot be submitted. Nothing surfaces that until submission fails. Use--allow-partial when you are deliberately updating a subset of fields on a
locale whose description is already live, and --strict to also require
release notes.
The same is true of the support and privacy-policy URLs: a new localization
starts with both empty, and an empty one blocks submission. check cannot
know what is already live, so it prints a note naming the locales whose file
entry has neither; asokit metadata diff checks them against the live listing.
This command needs no credentials, so it doubles as clean copy-paste output if
you'd rather paste into the web UI.
Stemming is per-language. Apple matches on stems, but morphology is not
universal, and English suffix rules applied everywhere are worse than no
stemming at all: they truncate German Zucker to zuck and Wasser towass, inventing collisions between unrelated words while still missing the
real German plurals, which are formed in -en and with umlaut. Rules exist
for English, Spanish, Portuguese, Catalan, Galician, French and Dutch, plus
the languages that mark no plural suffix at all (Japanese, Korean, Chinese,
Thai, Vietnamese, Indonesian, Malay). Every other locale is compared as exact
words, and metadata check prints a note naming them rather than letting a
clean run read as a verdict on locales it never really checked.
Metadata rules worth knowing
- Limits: name 30, subtitle 30, keywords 100, promotional text 170.
- Never repeat a term across those three fields.
- Watch stems, not just words. Apple matches
TrackandTrackeras the
same term, so a title saying "Tracker" makes a subtitle saying "Track" dead
weight.metadata checkcatches these; exact-string comparison does not. - No spaces after commas in the keyword field.
- Use singular forms — Apple handles plurals.
- Apple combines words across fields, so prefer distinct single words in the
keyword field over repeating a phrase from your title. - Compound-word languages (German, Dutch, Finnish) can't have compounds
assembled from parts across fields, so each compound must appear whole.
Budget for it:Haushaltsbuchcosts 13 of your 30 subtitle characters.
Drafting the keyword field
Between a research report and a validated metadata file sits the step that is
actually hard: packing terms into 100 characters without wasting budget.
asokit metadata pull > baseline.json # capture what is live first
asokit metadata suggest --market de --baseline baseline.json
de -> de-DE (38/100 characters)
blutzucker,wasser,tracker,fodmap,hba1c
dropped: competitor app-name fragments (balloon, uab, zuckerheld); stopwords (app, der, und)
It shows its work rather than presenting a field as magic. What it handles:
- Phrases become words. Apple combines words across fields, so listing
stool trackerandpoop trackerbuystrackertwice. - Stopwords.
with,and,freeeat characters and target nothing. - Competitor brand fragments.
looksLikeAppNamefilters whole terms, but
splitting phrases into words leaksballoon,uabandincout of rival
app names — which is where trademark trouble starts. - Scripts with combining marks. Tokenizing splits on separators rather
than matching\w, because Python's\wexcludes nonspacing marks and
shreds Thai and Devanagari at every tone mark and matra. Scripts written
without spaces deliberately stay one token; segmenting them properly needs a
dictionary this tool does not have. - Terms you already rank for. Live keywords from
--baselinerejoin the
pool at the lowest priority, so a hand-picked term that is already working
is not discarded just because autocomplete never proposed it.
--block word,word is the escape hatch for junk no rule reaches — a beverage
brand surfacing in health autocomplete is neither off-category by Apple's
genre data nor an app name, but it is still not a keyword you want.
When the list differs by market, keep it in a file and pass--block-file blocklist.json. "*" applies everywhere, a language code to
every locale of that language, a full locale code to that locale only; keys
starting with _ are notes:
{"*": ["balloon"], "it": ["dell"], "fr-FR": ["map"], "_notes": {"map": "fragment of a rival's name"}}
Draft every market at once and validate the result:
asokit metadata suggest --all --baseline baseline.json --json --out draft.json
asokit metadata check draft.json
asokit metadata push draft.json # dry run first
With --baseline, the draft carries the rest of each localization through
unchanged and swaps only the keyword field, so what comes out is a complete,
pushable file rather than a fragment. Without one you get keywords alone, whichcheck will flag as unsubmittable — correctly, since a locale carrying
keywords and no description is exactly the shape that cannot be submitted.
The output is a starting point, not an answer. Read it before you push it.
App Store Connect automation
Localized metadata is split across two different API resources and is only
writable while a version sits in an editable state — the kind of detail that
makes hand-rolling this annoying. The toolkit handles both, creates locales
that don't exist yet, and dry-runs by default.
Create a key at App Store Connect → Users and Access → Integrations → App
Store Connect API with the App Manager role:
export ASC_KEY_ID=XXXXXXXXXX
export ASC_ISSUER_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
export ASC_PRIVATE_KEY_PATH=~/.appstoreconnect/AuthKey_XXXXXXXXXX.p8
asokit metadata status # is a version editable right now?
asokit metadata pull > baseline.json # capture the current listing FIRST
asokit metadata push de.json # dry run — shows exactly what would change
asokit metadata push de.json --apply # write it
See the change before you make it. asokit metadata diff de.json reads the
live listing and prints, field by field, what the push would change — short
values inline, long ones as changed lines — and names any locale that has no
support or privacy URL in the file or live, which would block submission. It
writes nothing.
Pull before you push. metadata pull emits the same{locale: {field: value}} shape that check and push consume, sopush baseline.json is your undo. It is the cheapest safety step available
and the only rollback path there is.
Validation runs before anything is sent, so a bad file fails locally rather
than halfway through a batch. Credentials are read from the environment only;.p8 keys are gitignored by default.
A multi-locale push is re-runnable. Creating an appInfoLocalization makes
App Store Connect auto-create the paired appStoreVersionLocalization, so the
follow-up create collides with a resource that now exists; push adopts it
and patches instead of aborting, and reports adopted rather than claiming it
created something. Each locale is printed as it lands, flushed, so a redirected
log is a live record — and if a run does fail partway, the output tells you
exactly which locales were already written. Re-running converges.
asokit doctor also checks that your app is actually on sale in every market
you configured. Researching a storefront nobody can buy in is an hour of
wasted scoring, and assuming the opposite quietly drops markets you already
sell in.
Subscriptions from one declarative file
Creating a subscription group, its subscriptions and their prices by hand is
the part of setup that does not scale — and pricing is the worst of it. There
is no endpoint that applies one price to every storefront: the documented path
is one POST per territory, roughly 175 writes per subscription. products apply reads a file that describes the finished state and makes App Store
Connect match it.
{
"groups": [{
"referenceName": "Pro",
"localizations": {
"en-US": {"name": "Pro"},
"pt-BR": {"name": "Pro"}
},
"subscriptions": [{
"productId": "com.example.pro.annual",
"name": "Pro Annual",
"subscriptionPeriod": "ONE_YEAR",
"groupLevel": 1,
"familySharable": false,
"reviewNote": "Pro unlocks unlimited logging…",
"availability": {"allTerritories": true},
"price": {"baseTerritory": "USA", "customerPrice": "24.99"},
"localizations": {
"en-US": {
"name": "Pro Annual",
"description": "Unlimited logging, all year."
}
}
}]
}]
}
asokit products status # what exists in App Store Connect now
asokit products check products.json # limits and structure, offline
asokit products apply products.json # dry run — every action it would take
asokit products apply products.json --apply
It is a diff, not a script. Each run reads live state first and writes only
what differs, so a second run against an unchanged file writes nothing —
including the 175 price rows. That is the property that makes it safe to re-run
after a partial failure.
A new subscription is put on sale before it is priced. App Store Connect
rejects a price for a territory the subscription is not sold in (a 409,
"An error occurred while processing the pricing information"), so availability
is always written first.
Three things it will not do, each on purpose:
- Change what cannot be changed.
productIdandsubscriptionPeriodare
fixed at creation. If the file disagrees with a live product, the run stops
and tells you, before anything is sent. - Narrow where you sell.
availabilityis required on every subscription,
and must be{"allTerritories": true}.falseis rejected rather than
obeyed, because the file cannot express a smaller set — restrict territories
by hand in App Store Connect instead. It is required rather than optional
because a subscription provisioned without it comes out priced in every
territory and on sale in none, and no later run repairs that. - Finish the submission. Every new subscription lands in
MISSING_METADATAuntil it has a review screenshot. Add those in App Store
Connect, then submit the subscriptions alongside your next app version.
Text-only changes to products that already exist stay with products push,
which keeps taking the flat {productId: {locale: {field: value}}} format.
App Store creatives, custom product pages and nominations
Everything below goes through Apple's App Store Asset Library: images are
uploaded once to the app's library, then placed on a surface — the default
product page's editable version, or a custom product page. Rendering creatives
needs Pillow; everything that talks to App Store Connect needs the connect
extra:
pip install 'aso-keyword-toolkit[connect,render]'
Every write command follows the same shape as metadata push: a dry run
unless --apply, validation before anything is sent, and uploads finished
before any surface is touched. Concretely:
- Uploads first, writes second. Every file in scope is uploaded (or
reused) and processed before the first placement changes. A failure there
leaves every live surface as it was. - Identical bytes upload once. Files are matched by content hash. A copy
App Review rejected blocks reuse of those exact bytes — change the
image — unless an accepted or approved twin of the same bytes exists.FAILEDplacements are replaced, not kept. - Group limits are checked before writing, so a run never stops halfway
through a group because it ran out of slots. - Nothing is ever deleted from the library, and no page is ever deleted.
Only placements are removed, and page localizations only with--prune.
Rendering creatives from assets.json
assets render writes two files per locale:
- the universal image, exactly 5244 × 2950, which serves search
results (and the header too, when no header file exists). The headline and
one or two device captures sit inside the intersection of the 21:9 and 3:2
crops; - a dedicated product-page header image, exactly 3840 × 1646.
Why two: App Store Connect previews (October 2026) show the universal image
whole and uncropped in search results on iPhone and iPad, but the product-page
header crops it hard — iPhone keeps only the centre ~53% of the width, iPad the
full width but only the top ~55% of the height, iPhone Duo the centre ~65% —
and the status bar, Dynamic Island, back/share buttons and iPad tab bar cover
the top band and corners. A left-aligned headline gets cut on iPhone. The
header file centres the headline in a zone every device shows (x 940–2900,
y 380–1150 — inside the iPhone crop, about x 902–2938, with a margin) and puts one phone at each far side, fully outside the centre band
(x 677–3163), so the iPhone crop shows a clean headline. Search keeps the
universal file. assets.json lives next to asokit.json by default (--assets PATH
points elsewhere):
{
"canvas": {"width": 5244, "height": 2950},
"safeInset": 0.03,
"brand": {"background": "#4338CA", "text": "#FFFFFF", "frame": "#1C1C1E"},
"fonts": {
"default": {"path": "/Library/Fonts/SF-Pro-Display-Black.otf"},
"ja": {"path": "/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc", "index": 0},
"ar-SA": {"path": "/System/Library/Fonts/SFArabic.ttf", "variation": "Bold"}
},
"noSpaceWrap": ["ja", "zh-Hans", "zh-Hant"],
"rtl": ["ar-SA", "he"],
"type": {"verb": {"size": 360, "min": 220, "step": 10, "lines": 2, "leading": 1.02},
"descriptor": {"size": 220, "min": 150, "step": 6, "lines": 2, "leading": 1.12},
"tight": {"verb": 260, "descriptor": 170}},
"header": {"enabled": true, "canvas": {"width": 3840, "height": 1646},
"zone": [940, 380, 2900, 1150], "centreBand": [677, 3163], "deviceTop": 200, "minDevice": 0.4,
"type": {"verb": {"size": 260, "min": 150, "step": 10, "lines": 1, "leading": 1.02},
"descriptor": {"size": 130, "min": 80, "step": 6, "lines": 1, "leading": 1.12},
"tight": {"verb": 190, "descriptor": 100}}},
"variants": {
"default": {
"captures": ["{ui}/01-log-home.png", "{ui}/03-stats-insights.png"],
"capturesRoot": "screenshots/store/src",
"headlines": {"from": "screenshots/store/headlines.json", "slot": "hero", "fallbackSlot": 0}
},
"bpd": {
"captures": ["{ui}/06-add-entry-details.png", "{ui}/02-stats-patterns.png"],
"capturesRoot": "screenshots/store/src",
"headlines": {"en-US": ["LOG MOOD SWINGS", "Triggers, symptoms & patterns"], "en-GB": {"same": "en-US"}},
"ui": "en"
}
}
}
type is optional; the values shown are the defaults. Overrides merge per
key, so {"verb": {"size": 400}} changes the size and keeps the rest. Fonts
are keyed by locale with default covering the rest.
header is optional too; the values shown are the defaults, and its type
merges the same way (the top-level type applies only to the universal file).
The header uses the same brand colours, fonts, headline sources and lint as
the universal file. Its headline is centred in zone — verb on one line,
descriptor on one line. Each phone is centred in the space outsidecentreBand, at or below deviceTop, and may run off the bottom edge.
Phones shorter than minDevice × the canvas height are dropped rather than
drawn too small to read. The
left phone shows the first capture and the right phone the second, or the
first again when there is only one; RTL locales swap them. When a side is too
narrow for a legible phone, the header has no phones and the report saysheader-no-devices — phones and their shadows never enter the band.canvas must stay 3840 × 1646 for anything you upload: assets push
and cpp check/cpp push reject a header file of any other size (that is the
size Apple's catalog accepts for the header placement). Change it only for
experiments. "header": {"enabled": false} renders the universal file only (and removes a
header file left over from an earlier render, so it can't be placed by
mistake).
Headlines come either inline ([verb, descriptor] or {"same": locale}) or
from a headlines file via from, where slot is an index or a named slot andfallbackSlot covers locales that lack it. A named slot that some locales
have and others don't falls back per locale, and the report flags each
fallback; a slot name that is in neither the file's _slots nor on any
locale — a typo like "heor" — is an error, not a silent fallback for every
locale. The same goes for a misspelt fallbackSlot.
Right-to-left layout is per locale. Inline headlines are drawn RTL only when
their locale is in the top-level rtl list; headlines read from a file use
that locale entry's own "rtl": true.
asokit assets render # every variant, every locale it can resolve
asokit assets render --variant bpd --locales en-US,en-GB
Output goes to assets-out/<variant>/<locale>.png andassets-out/<variant>/header/<locale>.png (change the root with --out),
plus contact sheets per variant at assets-out/_contact/<variant>.png andassets-out/_contact/<variant>-header.png. Review them before uploading
anything. The report flags TIGHT and header-TIGHT locales whose type had
to shrink below the tight thresholds, locales that used the fallback headline,
and header-no-devices.
A locale that can't be rendered properly fails on its own. If its text
won't fit the safe box (or the header zone) at the minimum size and line count,
its headline fails the lint, or its font has no glyph for a character in the
headline, that locale is reported, and its old universal and header files are
both deleted (so a stale image can't be uploaded by mistake). The other locales
still render.
The glyph check exists because Pillow draws a font's placeholder box for a
missing character and reports success. It is easy to hit: SF Hebrew and SF
Arabic have no Latin comma, so "הרגל, יום אחר יום" renders with a striped
block where the comma should be. Reword the headline, or pointfonts.<locale> at a font that covers it.
The lint catches what App Review rejects on creatives: prices and offers,
URLs, rank and award claims, other platforms, medical claims — including
third-person ones such as "detects", "predicts", "diagnoses", "cures". Languages
without a word list get a warning, which --strict-lint turns into an error;--no-lint skips it. Right-to-left locales need Pillow built with libraqm;
without it, a variant with any RTL locale in scope stops before drawing
anything — the whole variant, not just that locale.
The files must be 8-bit RGB PNGs (colour type 2) with no alpha channel and
no tRNS chunk, at exactly 5244 × 2950 (universal) or 3840 × 1646 (header).
Rendered output already is; files you export from a design tool are checked
the same way before upload.
Placing creatives
asokit assets status # library, asset states, header/search placements
asokit assets status --catalog # Apple's placement and spec catalog
asokit assets push assets-out/default --target default # dry run
asokit assets push assets-out/default --target default --apply # header + search asset
asokit assets push assets-out/bpd --target "cpp:BPD tracker" --apply
asokit assets submit assets-out/default --apply # review them on their own
push reads DIR/<locale>.png and, when it exists, DIR/header/<locale>.png.
With a header file, the header file goes to the product-page header placement
and the universal file to the search-results placement (uploaded asheader-<locale>.png and <locale>.png). Without one, the universal file
goes to both placements, as before. A header file with no universal file beside
it is a validation error. --target default
writes to the editable App Store version — the asset ships with your next
release; --target cpp:<name> writes to a custom product page that already
has an editable version (run cpp push first — assets push never creates
page versions). Pushes to the default page refuse while a product page
optimization test is running.
assets submit sends the uploaded creatives to App Review by themselves,
placing nothing, so they can be approved ahead of the version they will ride
with. It runs a read-only preflight before uploading anything and skips assets
already in or past review. Header files are submitted with them.
Custom product pages from cpp.json
Custom product pages can now be assigned keywords, which makes them show up in
organic search as well as in Apple Ads. cpp.json describes the pages you
want; cpp push makes App Store Connect match it. Like assets.json, it is
read from next to asokit.json unless --file PATH says otherwise.
{
"protectedKeywords": {"*": ["cyclothymia", "depression", "hypomania", "mania", "episode"]},
"pages": [
{
"name": "BPD tracker",
"deepLink": null,
"template": "appStoreVersion",
"locales": {
"en-US": {
"promotionalText": "…",
"keywords": ["bpd", "borderline"],
"screenshots": [
{"dir": "screenshots/store/out/en-US", "order": ["06", "02", "03", "01"], "display": "APP_IPHONE_67"}
],
"creative": "bpd"
},
"en-GB": {"same": "en-US", "keywords": ["bpd", "borderline"]}
}
}
]
}
nameis the join key with live pages: unique and at most 30 characters.template: "appStoreVersion"starts the page from your current version, so
every device family inherits the default screenshots andscreenshotsonly
replaces the families it lists. Without a template, every family the live
version has must be listed.screenshots[].orderpicks and orders files by name prefix;creative
names a rendered variant, read from<creative-root>/<variant>/<locale>.png
(--creative-root, defaultassets-out). When<creative-root>/<variant>/header/<locale>.pngexists, it becomes the header
placement and the universal file serves search only.cpp checkvalidates
its size, andcpp pushcompares each placement against its own file, so
changing only the header resyncs the media (or opens a new version on a live
page).samecopiespromotionalText,screenshotsandcreative— never
keywords (deepLinkis set once per page, not per locale). Keyword pools differ by locale, so keywords are
always explicit.- There is no
visiblefield on purpose. Visibility changes only throughcpp publish.
Keyword rules. cpp check enforces two rules that are stricter than
Apple's:
- Ownership: within a locale, a keyword belongs to at most one page —
counting live pages that aren't in your file. Pages with no keywords are
fine. Every keyword must also be in that locale's keyword field on the
latest approved version; one missing from the editable version is a
warning, because the page stops ranking for it when that version ships. - Protected keywords: anything in
protectedKeywords["*"]orprotectedKeywords["<locale>"]is an error unless named with--allow-protected kw1,kw2. Use it for the terms your default page has to
keep winning.
The lifecycle is four explicit steps. For a new page, organic routing
changes only at the last one. The one exception is a page you have already
published — see Live below:
asokit cpp check # offline + online validation
asokit cpp push --apply # pages created HIDDEN
asokit cpp submit --pages "BPD tracker" --apply # send to App Review
asokit cpp publish --pages "BPD tracker" --apply # after approval: visible, routing goes live
asokit cpp publish --pages "BPD tracker" --hide --apply
What cpp push does to a page depends on its state:
- Missing — created hidden, with its localizations, keywords, screenshots
and creative. - Live — promotional text and keyword changes are edited in place on the
live version, with no new version and no review. On a page that is already
visible (published), that means they take effect at push: keyword
edits reroute organic search immediately and new promotional text is shown
immediately. Push refuses keyword edits on a visible, live page unless you
pass--allow-live-routing; the dry run labels such actionsVISIBLE — routing changes now, and the summary names every page whose
routing changed. On a hidden page the same edits change nothing until you
publish. Screenshot, creative or deep-link changes open a new version for
review. - Visible but never approved — a page that is visible with no approved
version (a lost create response or a failed hide) is hidden first, before
anything else in the run, so approval can't start routing on its own. - In review — skipped until review finishes.
- Unchanged — nothing is written; a second push is a no-op.
Across all pages in a run, keyword removals happen before additions, so moving
a keyword from one page to another never trips ownership. --pages and--locales scope a push; --locales never deletes anything. With --pages,
a page outside the scope keeps its live keywords, so moving a keyword from
page A to page B needs both in scope (--pages A,B); cpp check --pages B
reports the same problem. --prune
deletes page localizations missing from the file, but never a page's last
localization.
cpp submit and cpp publish require --pages and validate every named
page before doing anything. submit refuses if a locale or device family
declared in the file isn't actually placed on the page (a declared creative
needs both its header and search placement), refuses a new version of a live page that would drop
a locale, a screenshot display class, or a header/search placement the live
version has (approval replaces the live version whole), refuses a page that is
visible but has never been approved (hide it with cpp publish --pages NAME --hide --apply), and won't add pages to
a draft submission that already holds something else, such as your app
version. publish refuses pages that aren't approved.
--ads-export ads-groups.csv on cpp status or cpp push writes one row per
page and locale — page id, URL, visibility, state, keywords, deep link — for
building matching Apple Ads ad groups. After --apply it re-reads the live
pages, so the CSV has the ids of pages the run just created.
Featuring nominations from nominations.json
{
"nominations": [
{
"name": "MoodSync — new product page & localizations",
"type": "APP_ENHANCEMENTS",
"description": "…",
"publishStartDate": "2026-11-16",
"deviceFamilies": ["IPHONE", "IPAD"],
"locales": ["en-US", "de-DE", "fr-FR"],
"notes": "…",
"supplementalMaterialsUris": []
}
]
}
asokit nominations check # offline validation
asokit nominations push --apply # create or update DRAFTS
asokit nominations push --submit --name "MoodSync — new product page & localizations" --apply
nominations.json is read from next to asokit.json unless --file PATH
says otherwise. name, type, description and publishStartDate are
required; name is at most 60 characters and description at most 1000.type is APP_LAUNCH, APP_ENHANCEMENTS or NEW_CONTENT. Dates areYYYY-MM-DD, and publishStartDate must be at least 14 days out — Apple's
recommended notice — unless --force. relatedApps defaults to the app in asokit.json; if you
set it, it must include that app.
push matches nominations by name: missing ones are created as drafts,
drafts that differ are updated, submitted ones are left alone. If two
nominations in App Store Connect already share a name, push refuses rather
than guess which one you meant. --submit --name N submits exactly that one,
after every draft in the file has been written.
Screenshots
screenshots push DIR replaces the screenshot sets of the editable version
from DIR/<locale>/*.png, files in name order:
asokit screenshots status # sets per locale on the editable version
asokit screenshots push out/ # dry run: what would be deleted and uploaded
asokit screenshots push out/ --locales he,ar-SA --apply
asokit screenshots push out/ --mirror APP_IPAD_PRO_3GEN_129 --mirror-from en-US --apply
Pixel sizes and the ten-per-set limit are checked before anything is sent, and
an applied run waits until Apple has processed every upload. --display names
the display family of the PNGs (default APP_IPHONE_67); --mirror copies
other families, such as the iPad set, from one locale into all the others.
Only subfolders named like a locale (de, en-US, zh-Hans) are read —
anything else in DIR, such as ipad-en-US or a contact-sheet folder, is
skipped and listed.
Screenshots through the Asset Library
screenshots push keeps using the older screenshot-set API by default. The
Asset Library engine is opt-in:
asokit screenshots status --engine library
asokit screenshots push out/ --engine library # dry run
asokit screenshots push out/ --engine library --mirror APP_IPAD_PRO_3GEN_129 --mirror-from en-US --apply
Same flags and the same validation, with two differences: it diffs, so an
unchanged group isn't rewritten, and --mirror re-places the source locale's
assets by id instead of downloading and re-uploading them. A mirrored display
wins over local files for the same display.
The default switches to library in a later release, once two things hold:screenshots status prints identical output under both engines, and one
full-locale --engine library push has been verified in App Store Connect.
The ledger
Every applied write appends one JSON line to asokit-ledger.jsonl, next toasokit.json — creates, placements, keyword changes, submissions, publishes,
nominations. Dry runs write nothing.
{"action": "publish", "command": "cpp publish", "page_id": "…", "page_name": "BPD tracker", "ts": "2026-11-02T09:14:00Z", …}
Commit it with your app. App Analytics reports each custom product page
separately (Acquisition, by product page), but it doesn't tell you when a page
went live or when its keywords changed. The ledger does: filter Analytics from
the publish timestamp for a page, and compare before and after anadd_keywords line (which carries page_name and locale) for that page.
Placement lines ("action": "place") are keyed by surface instead: they
carry locale, surface (appStoreVersionLocalization for the default page,appCustomProductPageLocalization for a custom product page), parent_id
(that localization's id), placement_type and group. Match them to a page
by the command (cpp push, assets push), the locale and the timestamp of
the same run's create_page/create_version lines, or look the parent_id
up in App Store Connect. cpp status prints each page's last publish date
from the ledger alongside its live state.
A worked example: budgeting apps in the German App Store
A real run — 16 seeds, 40 candidates scored — tracking one of the established
German budgeting apps. Every number below came out of the tool.
It already owns the German expense vocabulary. Rank #1 forhaushaltsbuch, ausgaben tracker, ausgaben tracker kostenlos, andhaushaltsbuch kostenlos; #2 for expense tracker, budget planner, andbudgetplaner. That's a defended position, and the first job of any metadata
change is not to break it.
But it's invisible where the competition is weakest. kostenkontrolle
scored competition tier 1 — the median top-5 app there has 23 ratings — and
this app doesn't rank for it at all. Compare haushaltsbuch, where the median
top-5 app has 8,592 ratings and eight of the top ten put the word directly
in their title. Same category, wildly different economics.
The read: the contested compound is already won and should be protected. The
cheap opening is the term nobody is fighting for.
The competitor table shows the strategy behind the rankings:
| Ausgaben Budget Planner Fleur | 1,899 | 20 | 1 |
| Monefy: Ausgaben manager | 4,710 | 18 | 2 |
| Haushaltsbuch MoneyStats | 22,435 | 18 | 2 |
Three of the strongest apps put Ausgaben in their title. That isn't something
you have to guess at — it's their keyword bet, published.
One thing the numbers alone would get wrong. In the US store, mint looks
like an obvious budgeting keyword. The top result is Mint Mobile, a wireless
carrier. Ranking there buys traffic from people shopping for a phone plan.
A popularity score rates the query, not who answers it — which is exactly
why every report shows you who currently ranks.
What the numbers mean
pop is a ranking proxy derived from Apple's own autocomplete ordering,
not a search-volume estimate. Apple does not publish search volume through any
free endpoint. Tools that show you "volume: 4,400/mo" from these sources are
modelling, not measuring.
This matters practically. Autocomplete ordering is real signal — it is Apple
telling you what people in that country type — and it is excellent for ranking
candidates against each other. It cannot tell you a term's absolute traffic.
Use it to narrow hundreds of candidates down to a handful, then validate those
few against Apple Search Ads if you need absolute numbers.
Relevance stays a human judgment. The toolkit filters competitor app names out
of your results, but no heuristic can tell you that a term in your category
serves a different audience. That's what the competitor table is for — read it.
Command reference
| command | what it does |
|---|---|
asokit init --app-id ID |
write a config with seeds derived from your live listing |
asokit init --add --markets fr |
add markets to an existing config, keeping your seeds |
asokit doctor |
check config, Apple connectivity, and credentials |
asokit storefronts |
list all 60 storefronts |
asokit storefronts --check de |
verify one storefront against the live endpoint |
asokit research --market de |
expand and score keywords for one market |
asokit research --all |
run every market in your config |
asokit research --all --resume |
continue an interrupted run, skipping scored markets |
asokit digest |
every researched market in one summary |
asokit metadata suggest --market de |
pack researched candidates into a keyword field |
asokit metadata suggest --all --json |
draft every market's keyword field at once |
asokit metadata pull |
write the live listing to JSON — your rollback baseline |
asokit metadata diff FILE |
field by field, what a push of FILE would change (read-only) |
asokit metadata check FILE |
validate limits, duplication and submission-readiness |
asokit metadata status |
show which version and locales are editable |
asokit metadata push FILE |
dry-run the sync |
asokit metadata push FILE --apply |
write metadata to App Store Connect |
asokit products status |
list subscriptions, IAPs and their localizations |
asokit products check FILE |
validate product text and structure, offline |
asokit products push FILE |
dry-run a product text sync |
asokit products apply FILE |
dry-run the full provisioning diff |
asokit products apply FILE --apply |
provision groups, subscriptions, prices, availability |
asokit screenshots status |
screenshot sets per locale on the editable version |
asokit screenshots push DIR |
dry-run replacing screenshot sets from DIR/<locale>/*.png (--apply to write) |
asokit screenshots push DIR --engine library |
dry-run a screenshot replace through the Asset Library |
asokit assets render |
render header/search creatives from assets.json |
asokit assets status |
library, asset states, header and search placements |
asokit assets push DIR --target default|cpp:NAME |
dry-run placing creatives (--apply to write) |
asokit assets submit DIR --apply |
send creatives to App Review on their own |
asokit cpp check |
validate cpp.json, keyword ownership and pools |
asokit cpp status |
live pages, versions, visibility, keywords |
asokit cpp push --apply |
converge custom product pages to cpp.json (new pages hidden; --allow-live-routing for keyword edits on published pages) |
asokit cpp submit --pages NAME --apply |
send page versions to App Review |
asokit cpp publish --pages NAME --apply |
make approved pages visible |
asokit nominations check |
validate nominations.json |
asokit nominations push --apply |
create or update nomination drafts |
asokit nominations push --submit --name N --apply |
submit one nomination |
Each research run writes report.md plus the raw scores.json andexpansion.json, so you can build your own analysis on the data.
FAQ
Is this really free?
Yes. Keyword research uses public Apple endpoints that need no account.
Publishing metadata uses your own App Store Connect API key, which Apple issues
free to developers. There is no hosted service and nothing to sign up for.
Do I need an Apple Search Ads account?
No. Apple Search Ads is one way to get official popularity scores, but this
toolkit doesn't require it and doesn't use it.
How is this different from paid ASO tools?
Paid tools add Apple Search Ads popularity scores, historical rank tracking,
and dashboards. This gives you the per-storefront keyword discovery, competitor
analysis, and metadata publishing that most of the workflow actually consists
of — scriptable, inspectable, and free. Many people need the second thing far
more often than the first.
Does it work for Google Play?
Not currently. Everything here is App Store specific: Apple's endpoints, the
30/30/100 character model, and the App Store Connect API.
Will Apple block this?
These endpoints are public and used by the App Store itself. The toolkit sets a
descriptive user agent, spaces requests to respect the iTunes Search API's
roughly 20-requests-per-minute limit, and caches everything so repeat runs make
almost no requests. Be reasonable and you'll be fine.
Can I use it in CI?
Yes. Everything is non-interactive with meaningful exit codes —asokit metadata check fails the build on a validation error, which makes a
good pre-submission gate.
What Python version do I need?
3.9 or newer, tested on 3.9, 3.11 and 3.13. Research has no dependencies at
all; only App Store Connect sync adds pyjwt and cryptography, and
rendering creatives adds Pillow.
How it works
| source | what it provides | cost |
|---|---|---|
App Store autocomplete (MZSearchHints) |
Apple's per-storefront suggestion ranking | free, no auth |
| iTunes Search API | ranked apps per query per country, with rating counts | free, official |
| App Store Connect API | reading and writing localized metadata | free, your own key |
Nothing is proxied through a third party. Every request goes from your machine
to Apple.
Development
git clone https://github.com/ggapp1/aso-keyword-toolkit
cd aso-keyword-toolkit
pip install -e .
python3 -m unittest discover -s tests -t .
The codebase is small and deliberately boring: storefronts (the country
table), sources (HTTP and caching), research (expansion and scoring),metadata (pure validation, no I/O), packing (keyword-field selection, also
pure), asc (App Store Connect), report (rendering), suggest (seed
derivation). The App Store Connect write paths follow the same split — pure
modules plan, executors write: library (Asset Library uploads and
placements), creative (creative file checks and lint, pure), render
(creative rendering, optional Pillow), cpp (custom product page validation
and planning, pure), cpp_apply (custom product page executor), review
(review submissions), nominations (featuring nominations), ledger (the
append-only write log).
Contributions welcome, and two tables in particular are built to be extended
by people who know a language better than I do:
metadata._RULES— stemming suffixes per language. Locales absent from
it are compared as exact words, which under-reports repetition but never
invents it. Adding a language is a few(suffix, replacement)pairs; the
bar is that the rule must not truncate ordinary stems, which is what the
old English-everywhere behaviour did to German.packing._LANGUAGE_FILLER— stopwords per language, applied only to
Latin-script words. Under-filtering wastes a few characters; over-filtering
deletes the keyword you were trying to rank for, so err toward leaving words
in.
Storefront verifications and app-name punctuation conventions from stores you
know better than I do are just as welcome.
License
MIT. See LICENSE.
Not affiliated with, endorsed by, or connected to Apple Inc. "App Store" and
"App Store Connect" are trademarks of Apple Inc.
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