AppNod

Guide

How to get your Shopify app recommended by ChatGPT

Updated 30 September 2026 · 7 minute read

Merchants now ask ChatGPT, Claude and Gemini which app to install, and they tend to install one of the few names the answer gives them. This guide covers how those answers are put together, what you can influence, and how to check whether it is working.

1. How assistants pick apps

An assistant answers an app question from two places: what it learned in training, and, when web search is on, the pages it finds at the moment of the question. Both favour the same thing: apps that are described clearly and consistently in many places, especially on pages that compare options for a specific need.

Three things follow from that:

  • Questions are specific. Merchants do not ask “best reviews app”. They ask “free reviews app with photo reviews for a small skincare store”. You can lead one kind of question and be missing from another.
  • Answers vary. Ask the same question five times and you get different lists. One screenshot proves nothing; rates across many answers do.
  • Search changes the answer. With web search on, the assistant leans on whatever ranks and gets cited today. With it off, it relies on older training data. You need to be strong in both.

2. Measure before you change anything

Write down 30 to 50 questions a real merchant in your category would ask: different store types, sizes, budgets, “X vs Y” comparisons, migrations away from a competitor, and questions that describe a problem without naming the category (“shoppers do not trust my new store, what can I add?”). Ask each one several times in each assistant, with and without search, and record:

  • Mention rate: the share of answers that name your app at all.
  • First-pick rate: how often you are the first recommendation.
  • Share of voice: your mentions against every app mentioned.
  • Sources: which pages the assistant cites when it recommends a competitor.

That is exactly what an AppNod report does, several hundred answers at a time. You can get one free for your app, or do a smaller version by hand in a spreadsheet.

3. Make your App Store listing easy to quote

Your listing is the page most likely to be read about your app. Make it say plainly what an assistant would need to recommend you for a specific question:

  • Say who it is for in the first lines: store size, industry, and the job it does. “Photo reviews for small beauty brands” is easier to match than “Grow your business with social proof”.
  • Name the category words merchants use, in the words they use: “product reviews”, “upsell”, “subscriptions”, not only your brand terms.
  • State pricing and the free plan clearly. “Best free” and “under $20 a month” questions are common, and a vague price page loses them.
  • List integrations by name (Klaviyo, Shopify Flow, Recharge, checkout extensions). Integration questions are specific and often decided by one line.

4. Publish the pages assistants cite

When search is on, assistants quote pages that answer the question directly. On your own site, the pages that tend to help are:

  • Honest comparison pages (“YourApp vs CompetitorApp”) that state where each one is the better fit. One-sided pages are less likely to be quoted.
  • Migration guides (“Moving from CompetitorApp to YourApp”) with concrete steps, for the merchants who ask how to switch.
  • Use-case pages for the store types you serve best.
  • Clear docs and a public pricing page that a crawler can read without logging in or running scripts.

5. Get onto the third-party pages

The pages cited most often for app questions are usually not the vendors’ own: they are “best apps for…” roundups, agency blogs, Reddit and community threads, and YouTube reviews. If a competitor wins a question, look at what the assistant cited for it. Being included on those same pages, accurately described, is often the single biggest lever. Do it honestly: disclose any relationship, and never post fake reviews or sock-puppet threads.

6. Reviews that describe use cases

Star ratings matter less than what reviews say. A review that reads “set up in ten minutes on our 200-order-a-month candle store, the free plan covers everything we need” gives an assistant words to match a question with. When you ask for reviews, ask customers to mention their store type and what they use the app for.

7. Track it over time

Answers move every week as models update and new pages get indexed. Re-run the same questions on a schedule, compare with the previous run, and look at which question types moved. When a competitor suddenly gains ground, check which new sources the assistants are citing for them.

A caveat worth repeating: nobody can guarantee an AI recommendation, and anyone who promises one is guessing. What you can do is make your app easy to understand, present where the assistants look, and measured well enough to know what worked.