Signals lens

Mobile Apps signals

Name: Mobile Apps signals
Creator: PeerPush
License: https://peerpush.com/terms

How AI assistants, crawlers, and humans are discovering products in the Mobile Apps category on PeerPush. Updated daily.

Browse all Mobile Apps products

Search demand

How often on-site searches surfaced Mobile Apps products in the top results.

100+ people's searches surfaced Mobile Apps products this week

New-entrant attention

How much discovery attention fresh launches are winning in Mobile Apps. Last 7 days.

2.9% of Mobile Apps discovery attention goes to newcomers

Fresh launches make up 1% of the products winning discovery attention in the last 7 days.

New-entrant momentum

Whether fresh products are joining Mobile Apps faster than the week before.

New entrants are accelerating in Mobile Apps

+33%

Switcher pressure

How much alternative-shopping demand is flowing toward what Mobile Apps products challenge. Last 7 days.

Heavy+6%

Heavy alternative-shopping demand - many people are actively researching incumbents here. Demand is rising week over week.

Who this serves

The audience mix across Mobile Apps products - which audiences this space serves most.

Active conversation in this space

Distinct people reviewing and discussing Mobile Apps products. Last 7 days.

people actively reviewing and discussing

Pricing mix

How Mobile Apps products are priced. Helps buyers know what to expect.

Freemium47.8%
Free32.9%
Subscription12.8%
One-time3.6%
Paid2.9%

Platform availability

Where Mobile Apps products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across Mobile Apps products. Last 7 days.

22 / 100

competitive

FragmentedConsolidated

Mobile Apps is competitive - attention is shared across a broad field with a few pulling ahead.

Herfindahl index: 20.2 / 10,000

AI engines discovering Mobile Apps

Top 5

The AI engines most active on Mobile Apps products, led by Meta AI. Last 7 days.

Meta AI
56.9% share
ChatGPT
16% share
ByteDance
12.1% share
ClaudeBot
5.8% share
OpenAI Search
3.4% share

Device mix

How Mobile Apps gets discovered: desktop vs mobile. Last 7 days.

Desktop88.4%
Laptops and desktops
Mobile11.6%
Phones and tablets

Surface mix

Mobile Apps traffic by channel - web, MCP, API, RSS. Last 7 days.

Web90.8%
Direct browsing + search
MCP9.2%
Model Context Protocol calls

Rising use cases

Top 3

The use cases gaining AI attention among Mobile Apps products this week.

Rising audiences

Top 3

The audiences gaining AI attention among Mobile Apps products this week.

Explore the whole marketEvery category, audience, platform, and AI engine on one page.

Explore the catalog by lens

Jump into the catalog by what products do, who they serve, and where they run.

Use cases

Browse the products behind the use cases AI is asked about most.

Browse all use cases

Audiences

Browse the products built for the audiences AI surfaces most.

Browse all audiences

Platforms

Browse products by where they run: web, mobile, CLI, MCP.

Frequently asked questions

It shows how AI assistants, crawlers, and humans are discovering products in Mobile Apps on PeerPush, including rising challengers and which AI engines are most active in this space.

Momentum is measured by week-over-week growth in detail views, clicks, AI agent results, and new product launches for products in Mobile Apps; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

The Mobile Apps signals refresh on a rolling schedule, with short windows recomputed every few minutes and longer windows on slower cycles.

Yes. The Mobile Apps signals are free to view on the public tier, with deeper history and detail available on Pro.

How we count AI traffic

What “AI Surface Area” combines, how we treat redaction, and why we don't show absolute counts until volume crosses a floor.