// aeo · google play · 2026

Ask Play, Gemini installs and ChatGPT recommendations: how to get your app recommended by AI

In 2026 people ask an assistant which app to install before they open a store. What Ask Play reads, how Gemini installs apps without the Play Store, how answer engines pick apps to cite, and the brief that makes your app the answer.

30 Aug 202612 min read
A hand holding an Android phone

Discovery moved one step before the store

A growing share of installs now starts with a question to an assistant: which app should I use to learn capitals, what is the best white noise app with a timer. ChatGPT, Perplexity and Gemini answer with a shortlist. Apple Intelligence surfaces apps in Siri and Spotlight. And since Google I/O 2026 the Gemini app can recommend and install Android apps directly, with an install button, without the Play Store ever opening. Inside the store, Ask Play answers questions on the listing itself, drawing on your description and your website.

This is answer engine optimization for apps, and it rewards exactly one thing: being clearly and consistently described, in the places the models read, in the words people use when they ask.

What Ask Play reads, and why your website is now part of your listing

Ask Play builds its answers from the Play description, the key features, and the app's website. If the website says one thing and the description another, the answer gets vague or wrong. The fix is consistency: the first paragraph of the description and the first paragraph of the website should make the same claim in the same words. Ask Play is English only as of mid 2026 and slower to reach the EEA, but the listing you write for it is the same listing that serves Guided Search and Gemini, so there is no reason to wait.

Tell the agentCopy this brief into AppTug or any agent you run

Compare the first paragraph of our Google Play description with the first paragraph of our website and our App Store description. Rewrite all three so they make the same claim in the same words: what the app is, for whom, the three things it does. Then write five questions a user might ask Ask Play about our category and check that each is answered by a sentence in the description. Add the missing sentences.

How answer engines pick which apps to cite

ChatGPT, Perplexity and Gemini cite what they can read and trust: the app's own website, store listings, review summaries, and third party pages that compare apps in a category, with Reddit among the most cited domains. An app with a clear website page per use case, a glossary of its category's terms, honest comparison pages and a llms.txt file that summarises it is far easier to recommend than one with a single landing page. Google's AI review summaries, the users are saying paragraph on Play, are read too, which makes review replies part of this as well.

Tell the agentCopy this brief into AppTug or any agent you run

Audit our website for answer engines: one page per use case with a plain first paragraph, a comparison page for each major alternative, a glossary for our category's terms, and a llms.txt that summarises the product, pricing and use cases in plain text. Draft the missing pages. Then ask ChatGPT, Perplexity and Gemini the five questions from the Ask Play brief and report whether we appear, who appears instead, and which of their pages got cited.

Gemini installs and the frameworks worth adopting early

Gemini recommending and installing an app without the store means the store listing is no longer the last word; the app's own structured description of what it can do is. Google points developers at ContextSDK and AppFunctions for deeper integration with AI driven discovery, and at Engage SDK for re engagement surfaces like Collections and the You tab. These are engineering tasks, but the agent can tell you which one matters for your category and draft the function descriptions in the same words as the listing.

Tell the agentCopy this brief into AppTug or any agent you run

Tell me which of Google's AI discovery frameworks apply to our app and category and in what order. Draft the natural language descriptions of our app's functions for AppFunctions in the same words as the Play description. Flag anything that would need a release and estimate the effort in days.

Play Shorts and portrait video: the store becomes a feed

Google is turning the Apps tab into a short form feed, US first, and store listings now support portrait video and YouTube playlist carousels. Google's own tests put portrait video at 7 percent higher watch time and 5 percent better conversion than landscape. The hooks you cut for TikTok are the asset here, unchanged.

Tell the agentCopy this brief into AppTug or any agent you run

Convert our three best performing TikTok videos into portrait listing videos for Google Play, under 30 seconds, captioned because autoplay is muted, and add them to the listing and a YouTube playlist carousel. Report listing conversion 14 days after against the 14 days before.

Reddit and the honest opinion layer

People check Reddit for the unfiltered version and so do the models. A founder who answers questions in the subreddits where the category is discussed, without pitching, ends up cited by both. This is slow, it is real, and an agent can at least find the threads and draft the answer for you to post in your own name.

Tell the agentCopy this brief into AppTug or any agent you run

Find the ten most recent Reddit threads where people ask for an app in our category. For each, draft an answer in my voice that helps first and mentions our app only if it genuinely fits, with the reason. I post them myself. Track which threads get cited by answer engines over the following month.

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