How to Get Your Mobile App Recommended by ChatGPT (2026)

A page plan for app makers: about 30 pages that each answer a real buyer question, content that beats the cited competitor, and the indexing steps that make them retrievable.

Daniel Borodin·Updated ·9 min read
Contents (9)
  1. Why ChatGPT recommends some apps and not yours
  2. Why your App Store listing isn't enough
  3. What AI search actually shows: lists, and increasingly product pages
  4. The page plan: around 30 pages, one question each
  5. Why content beats domain authority (mostly)
  6. How to build the pages
  7. The step people skip: indexing
  8. Doing it without the manual work
  9. FAQ: getting your app recommended by ChatGPT

Why ChatGPT recommends some apps and not yours

ChatGPT recommends an app because it found that app named on pages it retrieved, not because it tried the app. It reads the pages it finds for a question, summarizes them, and names whatever those pages name. So the contest is page versus page, and a page is something you fully control. To also get named on other people's sites, the LinkedIn tool playbook shows how to add roundups, Reddit and video around your pages.

The audience is large. ChatGPT has "more than 900 million weekly active users" (OpenAI, March 31, 2026), close to the App Store's "over 850 million people" a week (Apple Ads). Not every ChatGPT conversation is about apps, but when someone asks "what is the best habit tracker app?", whatever the answer names becomes the shortlist.

Daniel's observation from the video is that app makers put their effort into App Store Optimization and Google, and very few publish pages aimed at how AI answers questions. That gap is the opportunity, and it is a solvable one.

900M+
ChatGPT weekly active users (OpenAI, Mar 2026)
4,000
Characters of plain text allowed in an App Store or Google Play description: no tables, no comparisons
0.194
Correlation of page count with AI visibility, so each page has to answer a distinct question (Ahrefs, Dec 2025)

Why your App Store listing isn't enough

Your store listing is part of what AI can read, so keep it accurate: Apple says the description "will be used for web engine search results once you release your app" (Apple, App Store Connect Help). But a listing can't hold the pages that answer comparison questions.

Store listing limits versus what a "best app" or "X vs Y" answer needs. Limits from Apple and Google's developer documentation.
FieldApp StoreGoogle Play
App name30 characters30 characters
Subtitle / short description30 characters80 characters
Full description4,000 characters, plain text, no HTML4,000 characters
Keyword stuffingApple: "Don't add unnecessary keywords"Can "result in an app being suspended"
Tables, comparisons, third-party alternativesNot possibleNot possible

Sources: Apple, App information; Apple, Creating your product page; Google Play Console Help, store listing. The listicle, alternatives and comparison pages live on your own website.

What AI search actually shows: lists, and increasingly product pages

Ask an assistant for the best habit tracker and the answer is usually a list, built from pages that are lists. Peec's analysis of over a million citations found listicles were just under a fifth of all URLs ChatGPT cited and that 52 percent of them were cited more than twice per answer (Peec, citation rate benchmarks, Feb 2026). So "best habit tracker apps in 2026" is both the question and the format to publish.

That is shifting. After GPT-5.6 rolled out in August 2026, listicles fell from 15.47 to 8.19 percent of the pages ChatGPT retrieved, while product pages led at 16.39 percent, usually on the brand's own domain (Peec, GPT-5.6 retrieval analysis, Aug 2026). So your own feature and pricing pages matter as much as your lists: clear, current and readable without JavaScript.

The same pattern runs one layer down. Search "Habitify alternatives" and you get directory pages such as AlternativeTo's and dedicated "best Habitify alternatives" roundups. If your app is inside one of those pages, or you publish the best one, you can be named right there in the response.

The page plan: around 30 pages, one question each

You don't need hundreds of pages. Daniel's rule of thumb from the video is that around 30 well-targeted pages is enough to start showing up for a category. The pages fall into a few repeatable formats, and each maps to a real question a buyer types into an assistant.

"30 pages like that is more than enough to show up in ChatGPT search results." Daniel Borodin, from the video

The count is a guide, not the lever. Ahrefs found almost no relationship between a site's page count and AI visibility (about 0.194), and when Kimi published 882 pages in a single day its pages were retrieved often but its brand was mentioned far less (Peec, Kimi case study, Jul 2026). Google's spam policies call "many pages ... generated for the primary purpose of manipulating search rankings" scaled content abuse, "no matter how it's created" (Google, Spam policies 2026). Thirty pages work when they are thirty different questions answered well.

The page types in the plan, using a habit-tracker app as an illustrative example.
Page typeExample (habit app)The AI question it targets
Best-of listBest habit tracker apps in 2026"best habit app 2026"
AlternativesBest Habitify alternatives for Mac and iPhone"Habitify alternatives"
ComparisonHabitify vs your app"Habitify vs [you]"
Competitor questionDoes Habitify have a free plan?"Habitify free plan / pricing"
Niche useBest habit app for ADHD, or for gamers"best habit tracker for ADHD"
Your own product pagesFeatures, pricing, platforms"[your app] pricing", "does [your app] work on Android"

The niche variations matter more than they look, as long as they change the answer. Peec found rewording a prompt rarely changes which brands appear, but that "a changed qualifier (location, product, demographic, brand) is a new intent" (Peec, Prompt wording and AI visibility 2026). "Best habit tracker for ADHD" is a different question from "best habit tracker"; "top habit tracker" is not.

Why content beats domain authority (mostly)

This is the part that surprises people who come from traditional SEO, where a new domain struggles for years.

"AI doesn't really look at the domain rating and domain authority. It looks at the content that your page has. If you have a page that has better content, your page is going to be cited." Daniel Borodin, from the video

The data backs this for ChatGPT more than for Google. Ahrefs measured a correlation of just 0.266 between Domain Rating and ChatGPT brand mentions, and said ChatGPT "may be the best entry point into AI visibility" for brands with modest authority (Ahrefs, Dec 2025). Google's AI Overviews weigh DR somewhat more. And the GEO study found content changes help lower-ranked pages most: citing sources raised visibility 115.1 percent for content in fifth position (Aggarwal et al., GEO, KDD 2024).

So the game is not "outrank a bigger domain". It is "write a genuinely better page than the one the AI cites today". Take the cited competitor page, look at how it lists the alternatives, and answer the question more completely, more honestly and with cleaner structure.

How to build the pages

One complete page per target question. You can write it by hand, or give an AI coding tool a GEO prompt with the topic (say, "Habitify alternatives"), your website and the competitor URL that ranks today, and have it produce a full HTML page you paste into Webflow, WordPress or any CMS. If GEO is a new term, start with what generative engine optimization is. With Cursor or Claude Code, the tool can add the page to your project directly.

Then add what a model can't: your own screenshots, what you found testing each alternative, and prices checked on each app's store page. Google's guidance is to "consider what in-depth experience you can bring" and not "recycle what others on the internet have already said" (Google Search Central 2026).

The parts that move AI citation, in order: a direct answer near the top, an honest comparison that lists the real alternatives (including where competitors genuinely win), specific sourced claims, and a structure the model can lift a block from. Density and honesty beat word count. For the mechanics, see our practical playbook on getting cited by ChatGPT and the page structure AI assistants actually cite.

The step people skip: indexing

A page that isn't indexed can't be retrieved, and a page that can't be retrieved can't be cited. Google states that to appear as a supporting link in AI Overviews or AI Mode, "a page must be indexed and eligible to be shown in Google Search with a snippet" (Google, AI features and your website). After publishing, submit each page in three places:

  • Google Search Console for Google's AI features, and because ChatGPT also queries Google (Peec, Sep 2026).
  • Bing Webmaster Tools. Seer found 87 percent of SearchGPT citations matched Bing's top organic results (Seer Interactive, Feb 2025). Peec's 2026 work shows ChatGPT now stitches several providers plus its own index, with Bing showing up mainly in Deep Research, so treat Bing as one input, not the whole story.
  • IndexNow, which lets you "instantly inform search engines about latest content changes". Participating engines include Microsoft Bing, Naver, Seznam.cz, Yandex and Yep; Google is not among them, which is why Search Console stays on the list.

Also check that AI crawlers can reach the pages. OpenAI says sites "opted out of OAI-SearchBot will not be shown in ChatGPT search answers" (OpenAI, crawler documentation). Our free AI crawler check tests robots.txt and a live fetch for each bot. Why Bing and Google both matter is explained in why ChatGPT can ignore a page that ranks #1 on Google.

"More places you show up in, more chances that AI is going to pick you." Daniel Borodin, from the video

For exactly how to wire IndexNow into your publishing, see the retrievability section of the ChatGPT playbook.

Prefer to get into the pages that already rank? That is the other route: instead of building your own page, get named in the roundups AI already cites. It works best for specific questions with fewer competing pages, and we cover it in the sibling guide, how to get your tool cited in AI search. This page leans on the free, build-your-own-pages method.

Doing it without the manual work

Disclosure: GEOHATS is my product, so read this section knowing that. The page plan works whether you build it by hand or not, and nothing here requires paying anyone.

What GEOHATS does is automate the loop. You add your app's website and it generates the buyer questions to target, grouped the same way as the plan above: alternatives, comparisons, competitor questions and informational questions like "best habit tracker for ADHD". You pick a question, it writes the page in a few minutes, and through its MCP server Cursor or Claude Code can publish it. It then tracks whether ChatGPT, Claude, Perplexity, Gemini and Grok start naming you. It is a one-time lifetime license from $47 on your own AI keys.

Either way, the takeaway is the same: publish pages that answer the questions your buyers ask AI, make them better than what is cited today, and get them indexed. In our experience citations follow within 2 to 8 weeks, though no page is ever certain to be picked.

FAQ: getting your app recommended by ChatGPT

How do you get a mobile app recommended by ChatGPT?

Publish pages on your own site for the questions buyers ask AI, such as best category app 2026, competitor alternatives, competitor vs your app and niche uses. Make each page genuinely better than the one ChatGPT cites today, keep your feature and pricing pages clear, and submit everything to Google Search Console, Bing Webmaster Tools and IndexNow.

Does domain authority matter for AI search?

Less than for classic Google SEO, especially on ChatGPT. Ahrefs found Domain Rating correlates only 0.266 with ChatGPT brand mentions, while Google's AI Overviews weigh it somewhat more. A newer app with a genuinely better page can be recommended over a bigger competitor, which is the opening for a smaller app.

How many pages do you need to show up in ChatGPT?

Daniel's rule of thumb is around 30 well-targeted pages for a category. The number matters less than coverage: Ahrefs found page count barely correlates with AI visibility, and Google treats mass-produced low-value pages as spam. Thirty pages that each answer a different buyer question beat a hundred reworded ones.

What is IndexNow and why does it matter for AI?

IndexNow is a protocol that lets you instantly tell participating search engines, including Microsoft Bing, Naver, Seznam.cz, Yandex and Yep, that a page is new or changed. It speeds up how fast pages reach those indexes. Google doesn't participate, so also submit pages in Google Search Console, which matters for Google's AI features and for ChatGPT, which also queries Google.

Do I need a website, or is the App Store listing enough?

You need pages on a site you control. Apple uses your App Store description for web search results, so keep it accurate, but listings are capped at 4,000 characters of plain text on both stores and can't hold comparison tables or alternatives lists. The best-of, alternatives and comparison pages AI pulls into answers live on your own website.

Can I build these pages without coding?

Yes. Give an AI coding tool a GEO prompt with the topic, your website and the competitor URL that ranks today, and have it produce one self-contained HTML page you paste into Webflow, WordPress or any CMS. Add your own screenshots and test notes before publishing. With Cursor or Claude Code you can have it add the page to your project for you.

Watch: Get your mobile app Recommended by ChatGPT (in 10 minutes)

Daniel Borodin · Founder, GEOHATS

Daniel builds GEOHATS and runs AI-search visibility for his own products and client sites. He writes every post here and tests the playbooks on geohats.com first.

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