Signals lens

Workout Tracking signals

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

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

Browse all Workout Tracking products

Search demand

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

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

+23%in distinct searchers vs last week

New-entrant attention

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

11% of Workout Tracking discovery attention goes to newcomers

Fresh launches make up 2.9% of the products winning discovery attention in the last 7 days.

New-entrant momentum

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

New entrants are accelerating in Workout Tracking

+50%

Switcher pressure

How much alternative-shopping demand is flowing toward what Workout Tracking 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 Workout Tracking products - which audiences this space serves most.

Pricing mix

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

Freemium45.2%
Free29%
Subscription21.5%
One-time3.2%
Paid1.1%

Platform availability

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

Market concentration

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

43 / 100

consolidating

FragmentedConsolidated

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

Herfindahl index: 146.9 / 10,000

AI engines discovering Workout Tracking

Top 5

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

Meta AI
67.2% share
ByteDance
12.1% share
Claude
9.6% share
Perplexity
4% share
ClaudeBot
4% share

Device mix

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

Desktop85.1%
Laptops and desktops
Mobile14.9%
Phones and tablets

Rising categories

Top 2

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

Rising audiences

Top 3

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

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

Yes. The Workout 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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