Signals lens

Activity Tracking signals

Name: Activity Tracking signals
Creator: PeerPush
License: https://peerpush.com/terms

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

Browse all Activity Tracking products

Search demand

How often on-site searches surfaced Activity Tracking products in the top results.

25+ people's searches surfaced Activity Tracking products this week

+20%in distinct searchers vs last week

New-entrant attention

How much discovery attention fresh launches are winning in Activity Tracking. Last 7 days.

39.6% of Activity Tracking discovery attention goes to newcomers

Fresh launches make up 20.9% of the products winning discovery attention in the last 7 days.

New-entrant momentum

Whether fresh products are joining Activity Tracking faster than the week before.

New entrants are accelerating in Activity Tracking

+40%

Switcher pressure

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

Heavy+28%

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

Who this serves

The audience mix across Activity Tracking products - which audiences this space serves most.

Active conversation in this space

Distinct people reviewing and discussing Activity Tracking products. Last 7 days.

people actively reviewing and discussing

+80%

Pricing mix

How Activity Tracking products are priced. Helps buyers know what to expect.

Freemium50.8%
Free25.8%
Subscription12.5%
One-time7.5%
Paid3.3%

Platform availability

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

Market concentration

How concentrated discovery attention is across Activity Tracking products. Last 7 days.

42 / 100

consolidating

FragmentedConsolidated

Activity Tracking is consolidating - a handful of products are capturing a growing slice of attention.

Herfindahl index: 120.8 / 10,000

AI engines discovering Activity Tracking

Top 5

The AI engines most active on Activity Tracking products, led by Meta AI. Last 7 days.

Meta AI
65.3% share
ByteDance
16.4% share
OpenAI Search
6.4% share
ChatGPT
4.6% share
Perplexity
3.7% share

Device mix

How Activity Tracking gets discovered: desktop vs mobile. Last 7 days.

Desktop89%
Laptops and desktops
Mobile11%
Phones and tablets

Surface mix

Activity Tracking traffic by channel - web, MCP, API, RSS. Last 7 days.

Web90.4%
Direct browsing + search
MCP9.6%
Model Context Protocol calls

Rising categories

Top 2

The categories gaining AI attention among Activity Tracking products this week.

Rising audiences

Top 1

The audiences gaining AI attention among Activity Tracking products this week.

Gamers
37.1% of 7-day AI traffic4×

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 Activity Tracking 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 Activity Tracking; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

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

Yes. The Activity Tracking 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.

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