Signals lens

E-Commerce signals

Name: E-Commerce signals
Creator: PeerPush
License: https://peerpush.com/terms

How AI assistants, crawlers, and humans are discovering products in the E-Commerce category on PeerPush. Updated daily.

Browse all E-Commerce products

Search demand

How often on-site searches surfaced E-Commerce products in the top results.

100+ people's searches surfaced E-Commerce products this week

New-entrant attention

How much discovery attention fresh launches are winning in E-Commerce. Last 7 days.

9.2% of E-Commerce discovery attention goes to newcomers

Fresh launches make up 2.8% of the products winning discovery attention in the last 7 days.

Switcher pressure

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

Heavy

Heavy alternative-shopping demand - many people are actively researching incumbents here.

Who this serves

The audience mix across E-Commerce products - which audiences this space serves most.

Active conversation in this space

Distinct people reviewing and discussing E-Commerce products. Last 7 days.

people actively reviewing and discussing

+110%

Pricing mix

How E-Commerce products are priced. Helps buyers know what to expect.

Freemium31.8%
Free28.7%
Subscription24.5%
Paid11.4%
One-time3.6%

Platform availability

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

Market concentration

How concentrated discovery attention is across E-Commerce products. Last 7 days.

23 / 100

competitive

FragmentedConsolidated

E-Commerce is competitive - attention is shared across a broad field with a few pulling ahead.

Herfindahl index: 25.9 / 10,000

AI engines discovering E-Commerce

Top 5

The AI engines most active on E-Commerce products, led by Meta AI. Last 7 days.

Meta AI
56.3% share
ByteDance
13.3% share
ChatGPT
9.5% share
ClaudeBot
7.3% share
OpenAI Search
4.4% share

Device mix

How E-Commerce gets discovered: desktop vs mobile. Last 7 days.

Desktop92.4%
Laptops and desktops
Mobile7.6%
Phones and tablets

Rising use cases

Top 3

The use cases gaining AI attention among E-Commerce products this week.

Rising audiences

Top 3

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

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

Yes. The E-Commerce 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.