ASO keyword research when every AI keyword is a war

keyword research for an AI app starts by accepting that the head terms are gone. “ai photo editor”, “ai chatbot” and their cousins are held by apps with years of velocity and review counts you will not match soon. the method that works is long tail: mine reviews, autocomplete and competitor names for the specific phrases real users type, and rank for intent before volume.

The war you should not fight

a new app bidding for a head term is spending its effort where it is weakest. store ranking rewards download velocity and accumulated history, and on the big AI terms the incumbents have both, plus review counts that make their listings convert better than yours on the same impression. you can still put a head term in your metadata, it costs nothing, but building your strategy around ranking for it in year one is planning to lose. the entry is underneath: hundreds of specific searches the incumbents are too broad to own.

Where the long tail actually comes from

the long tail comes out of three sources you already have access to, not out of a tool’s volume estimates.

Reviews, yours and your competitors’

read what users say the app is for, in their words. reviews are the only place people describe the job in the language they would also type into search, “summarize my lecture notes” instead of “ai study assistant”. pull the recurring phrases out of your own reviews and out of the reviews of every competitor in your space. the complaints are just as useful: a phrase that keeps showing up in a competitor’s one star reviews is a search you can win by fixing the thing they will not.

Autocomplete

type your seed words into the store search bar and write down every completion, then type each completion and go deeper. autocomplete is a live map of what people in the store actually search, ordered by reality instead of by a tool’s model of it. do this monthly, because in AI categories the language moves fast and the suggestions move with it.

Competitor names

competitor brand searches are high intent traffic with a known alternative in mind. you cannot put a trademark in your app name, but ranking your listing for “like X but free” or “X alternative” style phrasing through your description and metadata is legitimate and often cheap, because incumbents rarely defend those searches. this is also where Apple Search Ads data helps: the terms that convert in paid are the terms worth holding organically.

Intent beats volume at small scale

at small scale, a hundred installs from people who searched the exact job beat a thousand impressions from a broad term. the broad term shows you to everyone slightly and converts nobody in particular. the specific phrase shows you to someone with the exact problem your app solves, so the tap-through is higher, the install more likely, and the retention better, which feeds back into ranking. volume estimates in ASO tools flatter head terms because that is where the numbers are big. ignore the flattery and rank the list by how precisely each phrase describes your actual use case.

iOS and Google Play index differently

on iOS you get a 100 character keyword field, plus the app name and subtitle, and those three surfaces are effectively your whole ranking input. no phrase in the field is visible to users, so it is pure metadata: no filler words, no duplicates across the three surfaces, commas with no spaces. on Google Play there is no keyword field at all. the store indexes your title, short description and long description, so keywords have to live inside real sentences that humans also read. this changes the writing job completely: an iOS keyword list is an exercise in compression, a Play description is an exercise in working phrases naturally into copy that still converts. run them as two separate jobs, off the same research.

Do you need a paid ASO tool to start?

no. reviews, autocomplete and competitor listings are free and they are the primary sources anyway. tools earn their cost later, for tracking rank across markets, not for finding your first hundred phrases.

How long before a keyword change shows results?

movement shows within days of the update being indexed, but judge on two to four weeks, because early positions bounce before they settle.

Should the app name include a keyword?

yes. name and subtitle are the strongest fields on iOS, so pair the brand with one phrase, in the shape of “brand: what it does”. pick the phrase you most want to own, not the biggest one.

the rest of the system, conversion assets and featuring included, lives in the ASO playbook. the breakdown call is free. Let’s talk Growth.