Signals lens

Online Shopping signals

Name: Online Shopping signals
Creator: PeerPush
License: https://peerpush.com/terms

How AI assistants, crawlers, and humans are discovering products built for the Online Shopping use case on PeerPush. Updated daily.

Browse all Online Shopping products

Search demand

How often on-site searches surfaced Online Shopping products in the top results.

100+ people's searches surfaced Online Shopping products this week

New-entrant attention

How much discovery attention fresh launches are winning in Online Shopping. Last 7 days.

5.4% of Online Shopping discovery attention goes to newcomers

Fresh launches make up 3.4% of the products winning discovery attention in the last 7 days.

Switcher pressure

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

Light

A trickle of alternative-shopping demand flows toward what this space challenges.

Who this serves

The audience mix across Online Shopping products - which audiences this space serves most.

Pricing mix

How Online Shopping products are priced. Helps buyers know what to expect.

Free48.6%
Freemium20.7%
Paid19.3%
One-time5.7%
Subscription5.7%

Platform availability

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

Market concentration

How concentrated discovery attention is across Online Shopping products. Last 7 days.

34 / 100

competitive

FragmentedConsolidated

Online Shopping is competitive - attention is shared across a broad field with a few pulling ahead.

Herfindahl index: 90.9 / 10,000

AI engines discovering Online Shopping

Top 5

The AI engines most active on Online Shopping products, led by Meta AI. Last 7 days.

Meta AI
63.3% share
ByteDance
10.9% share
OpenAI Search
7.4% share
ClaudeBot
6.1% share
ChatGPT
6.1% share

Device mix

How Online Shopping gets discovered: desktop vs mobile. Last 7 days.

Desktop95.1%
Laptops and desktops
Mobile4.9%
Phones and tablets

Rising audiences

Top 3

The audiences gaining AI attention among Online Shopping 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 Online Shopping 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 Online Shopping; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

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

Yes. The Online Shopping 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.