Services

AIO for Apps (AI Search Optimization)

Be the app AI recommends when someone asks ChatGPT or Gemini, "What app should I use?"

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Overview

Overview

When generative AI such as ChatGPT, Gemini and Claude recommends an app, it refers to information such as store pages, official sites and external articles. AIO is the work of preparing that information so your app is understood and recommended accurately.

Results

Track record

Inflow from AI surged in a short period

Changes in downloads via AI at apps we support
  • Before
  • After

Downloads

0
50
100
150
200

about 2.7x

34
92

about 5.9x

34
200

Game app AThree-week total

Lifestyle app BJuly → September (one month each)

Source: our client results (anonymized). Figures are after improving the iOS store listing (app A: via ChatGPT; app B: ChatGPT and Gemini combined).

Challenges

Common challenges

  • Challenge

    AI answers mention only competing apps

  • Challenge

    We have raised our store rankings, but can't see how that affects discovery through AI

  • Challenge

    We are looking for the next step beyond ASO

  • Challenge

    We don't know why AI doesn't recommend our app, or where to start improving

Strengths

What sets us apart

01

AIO built specifically for apps

We design for apps, based on the sources AI draws on when it recommends one: store pages, official sites and external articles.

02

Measuring how AI describes your app, in numbers

Using your app name and competing apps, we measure how multiple AI systems describe you.

03

Preparing your store and site in a form AI refers to

As an extension of ASO, we prepare the store page and official site information that AI refers to.

04

Measure, improve, re-measure

We measure again under the same conditions before and after each measure, and keep improving as we confirm the change.

Scope

Scope of support

We support you end to end: from measuring how AI describes your app, through improving your store listing and site, to confirming the effect.

  • Measuring and diagnosing how AI describes your app

    We put the questions your users are likely to ask to the major generative AI systems, and quantify how your app and its competitors are described.

    • Measured across multiple AI systems, using your app name and competitor apps
    • Questions designed for each stage of consideration
    • Repeated runs, to account for variation in answers
    • Identifying the sources AI refers to (store pages, your official site, external articles and more)

    You receiveMeasurement report

    Sample of an AIO report built for apps: an overall analysis of exposure in AI, a trend comparison with competitors, identification of problem questions and specific improvement proposals (contents are blurred)
  • Optimizing your store listing

    We shape the store page that AI refers to so that what your app does and who it is for come across correctly. We approach it as an extension of ASO.

    • Revising the description
    • Revising the screenshots
    • Reviewing ratings and reviews
    • Checking search rankings

    You receiveStore listing improvements and their execution

  • Preparing your official site and external information

    AI refers not only to the store but also to your official site and external information. We prepare them for the questions where you are missing out.

    • Preparing FAQs and structured data on your official site
    • Addressing the comparison and roundup articles AI refers to
    • Making use of press releases
    • Supporting the publication of accurate information in reviews and communities

    You receiveImprovement plan and execution of the measures

  • Combined execution with app advertising

    By addressing app advertising such as Apple Search Ads, Google Ads and social ads at the same time, we raise the results of AIO and advertising more efficiently.

    • Align your AIO and store listing improvements with the messaging and delivery of your ads
    • Apply the messages and phrasing that worked in ads to your store description and AIO measures
    • Run in parallel with your app advertising
    • Measure how AI describes you before and after advertising measures

    You receiveAn execution plan connected with your advertising

  • Measurement and PDCA

    Before and after each measure, we measure again under the same conditions and confirm the change. We repeat measure, improve and re-measure.

    • Re-measure with the same questions and conditions
    • Set metrics and track them
    • Report by AI system
    • Propose the next steps

    You receiveRegular reports

First, let's see how AI describes your app.

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Process

How we work

  1. STEP 01

    Discovery

    We learn about your business goals, competing apps and the situations you want to be found in.

  2. STEP 02

    Measurement and audit

    We design the questions, measure across multiple AI systems and review how well your store listing and official site are prepared.

  3. STEP 03

    Improvement proposal

    We report the measurement results and present an improvement plan.

    DeliverablesMeasurement report, improvement plan

  4. STEP 04

    Execution

    We prepare your store listing, official site and FAQ, address external information, and connect the work with your app advertising.

  5. STEP 05

    Re-measurement and improvement

    We measure again under the same conditions and report the change.

    DeliverablesRegular reports

First, let's see how AI describes your app.

Contact us →

FAQ

Frequently asked questions

What is the difference between ASO and AIO?

ASO is the work of improving how your app appears in store search results and on the store page. AIO is the work of helping generative AI such as ChatGPT and Gemini understand and recommend your app accurately. AI refers not only to the store page but also to your official site and external information, so what you prepare for ASO becomes a base for AIO, while other information also needs attention. If you already work on ASO, you can build on those results.

What is the difference between AIO, AEO, GEO and LLMO?

All of these refer to work that helps generative AI understand and recommend your information accurately. AIO, GEO and LLMO are used almost interchangeably for optimization toward generative AI in general. AEO is the part of it aimed at being recommended directly as the answer to a question.

Is it effective for game apps too?

For a game app with in-app purchases, there is a case where downloads via ChatGPT increased after the iOS store listing was improved (see the track record above). Results differ by app and category, though. We first measure how AI describes your app today, and then decide the measures.

Do you cover both the App Store and Google Play?

Yes, we cover both. We decide which to start with together with you, based on your business situation.

Which AI systems do you cover?

We cover the major generative AI systems, including ChatGPT, Gemini and Claude. The apps recommended and the sources referred to differ greatly between AI systems, so we report results for each one separately. We decide which AI systems to target together with you, based on your app's user base.

What specific measures do you carry out?

Based on the questions where your app is rarely recommended, we carry out measures such as: restructuring your store description so that what the app does and who it is for are clear; preparing FAQs that answer in the phrasing users actually use, and structured data, on your official site; checking how you appear, and how current the information is, in the comparison and roundup articles AI refers to, and proposing how to respond; and supporting the publication of accurate information on review and Q&A sites.

Does AI give the same answer every time to the same question?

No. Even for the same question, the apps recommended change by day and by phrasing. We therefore ask each question multiple times and judge by the trend, never by a single result.

How often do you measure?

After measuring the current state first, we measure again under the same conditions before and after each measure to confirm the change. For ongoing support, we recommend regular measurement about once a month. Because AI answers vary by day, we judge by multiple measurements rather than a single result.

If AI specifications change, do the results change too?

Yes. The arrival of new models or changes in specifications can change results significantly. We measure regularly and revisit the measures as things change.

How long does it take to see results?

It depends on the measure. Revisions to your store description and official site tend to be reflected relatively quickly, while work on the external articles AI refers to can take longer. We measure before and after each measure and proceed while confirming the change.

What does "Diagnose your AIO score" tell us? Does it cost anything?

We provide a simple AIO score (0–100) free of charge. The score is the average, across ChatGPT, Gemini and Claude, of how often your app appears in answers to questions that do not include its name. We calculate competitors the same way and show the gap from their average, along with your appearance rate for each AI. As a supplement, you can also see examples of questions where competing apps are recommended but your app does not appear. We share the results in a meeting of about 30 minutes and answer your questions. We do not provide a detailed report. Detailed root-cause analysis and the improvement plan are part of our support.

Let's talk about your growth.

Tell us about your challenges and goals. We'll propose what fits.