Signals lens

Retail Traders signals

Name: Retail Traders signals
Creator: PeerPush
License: https://peerpush.com/terms

How AI assistants, crawlers, and humans are discovering products built for Retail Traders on PeerPush. Updated daily.

Browse all Retail Traders products

Search demand

How often on-site searches surfaced Retail Traders products in the top results.

10+ people's searches surfaced Retail Traders products this week

New-entrant attention

How much discovery attention fresh launches are winning in Retail Traders. Last 7 days.

32.6% of Retail Traders discovery attention goes to newcomers

Fresh launches make up 13% of the products winning discovery attention in the last 7 days.

New-entrant momentum

Whether fresh products are joining Retail Traders faster than the week before.

New entrants are accelerating in Retail Traders

4×

Switcher pressure

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

Heavy+5%

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

What this is for

The use-case mix across Retail Traders products - what this space is built to do.

Active conversation in this space

Distinct people reviewing and discussing Retail Traders products. Last 7 days.

people actively reviewing and discussing

Pricing mix

How Retail Traders products are priced. Helps buyers know what to expect.

Freemium37.3%
Free27.5%
Subscription23.5%
One-time5.9%
Paid5.9%

Platform availability

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

Market concentration

How concentrated discovery attention is across Retail Traders products. Last 7 days.

51 / 100

consolidating

FragmentedConsolidated

Retail Traders is consolidating - a handful of products are capturing a growing slice of attention.

Herfindahl index: 296.3 / 10,000

AI engines discovering Retail Traders

Top 5

The AI engines most active on Retail Traders products, led by Meta AI. Last 7 days.

Meta AI
59.5% share
ByteDance
14.9% share
Claude
7.4% share
Perplexity
5.4% share
ChatGPT
4.7% share

Device mix

How Retail Traders gets discovered: desktop vs mobile. Last 7 days.

Desktop90.7%
Laptops and desktops
Mobile9.3%
Phones and tablets

Surface mix

Retail Traders traffic by channel - web, MCP, API, RSS. Last 7 days.

Web75.4%
Direct browsing + search
MCP24.6%
Model Context Protocol calls

Rising categories

Top 2

The categories gaining AI attention among Retail Traders products this week.

Rising use cases

Top 3

The use cases gaining AI attention among Retail Traders 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 Retail Traders 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 Retail Traders; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

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

Yes. The Retail Traders 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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