For consumer mobile and web apps
Be the app AI recommends when users ask for the best one.
Users ask AI 'what's the best app for X' before they ever open the App Store. If you're not in the recommendation, you're invisible. App Store SEO won't fix it.
§01 Why AI search is reshaping consumer apps
The discovery question moved out of the App Store.
ChatGPT now serves more than 800 million weekly users, and a meaningful share of them are asking it which apps to install before they ever open the App Store or Play Store. The question used to be where you ranked in a category browse. Now it is whether you are in the two or three apps AI names by brand inside its answer.
For consumer apps, the consequence is sharper than for almost any other category. App Store SEO continues to matter for the user who has already decided to install, but the deciding moment is upstream of that, and it is happening on a surface where ranking position does not exist. There are only the apps AI names and the apps it does not.
The work is curating the prompts your users actually run, engineering the third-party source pool AI cites, and managing recommendation rate against your named competitors on a weekly cadence.
§02 What we do for consumer apps
Five lines of work, run weekly, owned by us.
We sit alongside your growth and marketing functions. App Store optimisation, paid acquisition, and product marketing stay with you. The AI visibility layer is our remit, delivered as an outcome on a fixed cadence.
01
App category prompt curation, owned and maintained
Your category has a working set of 60 to 150 prompts that decide download intent. We curate the list with you on day one and re-run it weekly against ChatGPT, Claude, Gemini, Perplexity, and AI Overviews. The prompt set becomes the source of truth for every downstream measurement.
02
AI recommendation surfacing for category queries
The metric that matters is not whether AI mentions your app. It is whether AI names your app inside the recommended set for queries like best meditation app for sleep or best budgeting app for couples. We engineer the third-party validation that moves recommendation rate week over week.
03
Reviews and sentiment as source-pool levers
AI weighs review density and sentiment from third-party review sites, App Store and Play Store snippets, and Reddit threads in your category. We work each of these surfaces as a source-pool input, then track which review themes are being pulled into AI answers about your app.
04
Comparison page work for your top competitors
Users ask AI questions like Calm vs Headspace, Notion vs Obsidian, Mint alternatives 2026. The answer pool for those queries is decided by a handful of comparison pages and Reddit threads. We engineer the comparison content that gets cited, on the surfaces AI actually reads.
05
Weekly competitive monitoring against your top five
Apps move fast. A competitor launches a feature, a publication runs a review, a Reddit thread goes hot, and AI answers re-sort within days. We monitor the curated prompt set every week against your named top five competitors and flag movement before it becomes the default answer.
§03 The outcomes we commit to
Named results, written into the engagement letter.
We deliver results, not dashboards. The pilot pricing is built around it. You pay €500 per month for tools and APIs plus your direct media spend. We carry the team. At the end of the 90-day pilot, if we hit the goal we agreed on day one, the engagement converts on a €6,000 success fee and a €2,500 per month retainer thereafter. If we miss, you walk. No further obligation.
Recommendation rate on category prompts
The metric the App Store cannot give you. We commit to a measurable lift in the rate at which AI names your app as a recommendation on a fixed prompt set.
Citation share across the five AI surfaces
Documented mention rate on ChatGPT, Claude, Gemini, Perplexity, and AI Overviews for your curated category prompt set.
Inclusion in cited best-of listicles
Most best app queries draw from the same five to fifteen editorial listicles per category. We commit to inclusion in the listicles AI actually cites for your category.
Reddit and forum source-pool position
Reddit is one of the top weighted sources for consumer app queries. We commit to documented presence in the threads AI cites for your category, on platform-compliant terms.
§04 Who this is for
Growth and marketing leaders at apps watching organic acquisition shift away from ranked surfaces.
The typical engagement is a Head of Growth, VP Marketing, or founder at a consumer app running between fifty thousand and ten million monthly active users. Your ASO program is mature. Paid acquisition is dialled in. The new pressure is on the surfaces upstream of install, where ASO does not reach.
You usually come to us because of one of three triggers. A competitor with worse reviews keeps showing up in AI answers and you cannot explain why. Organic installs are flat or declining despite stable ranking position. Or your investor or board has started asking what your AI visibility looks like, and the team does not have an honest read.
§05 How we work
One framework, applied weekly. The methodology is public.
The work runs on the CITE framework. We comprehend the prompt set, influence the source pool, track recommendation rate movement on a weekly cadence, and evolve the program as platforms shift. The research underneath is published openly.
§06 FAQ
The questions consumer app buyers ask before they engage.
Does ChatGPT use App Store data?
Why does AI recommend my competitor even though we have better reviews?
How do I get my app into 'best X app' AI answers?
Does TikTok virality help with AI citations?
What is the role of Reddit in app discovery?
Ready to become the answer AI gives?
Book a 30-minute discovery call. We'll show you what AI says about your brand today. No pitch. Just data.