Signals lens
Trading signals
How AI assistants, crawlers, and humans are discovering products built for the Trading use case on PeerPush. Updated daily.
Signals lens
How AI assistants, crawlers, and humans are discovering products built for the Trading use case on PeerPush. Updated daily.
Jump into the catalog by what products do, who they serve, and where they run.
Where Trading products are available - Web, Mobile, CLI, MCP, etc.
How Trading products are priced. Helps buyers know what to expect.
The audience mix across Trading products - which audiences this space serves most.
How often on-site searches surfaced Trading products in the top results.
50+ people's searches surfaced Trading products this week
How much alternative-shopping demand is flowing toward what Trading products challenge. Last 7 days.
A steady stream of people are weighing the incumbents this space goes up against. Demand is rising week over week.
Whether fresh products are joining Trading faster than the week before.
New entrants are accelerating in Trading
+67%How Trading gets discovered: desktop vs mobile. Last 7 days.
Laptops and desktops
Phones and tablets
The AI engines most active on Trading products, led by Meta AI. Last 7 days.
How much discovery attention fresh launches are winning in Trading. Last 7 days.
6.7% of Trading discovery attention goes to newcomers
Fresh launches make up 2.4% of the products winning discovery attention in the last 7 days.
How concentrated discovery attention is across Trading products. Last 7 days.
35 / 100
competitiveTrading is competitive - attention is shared across a broad field with a few pulling ahead.
Trading traffic by channel - web, MCP, API, RSS. Last 7 days.
Direct browsing + search
Model Context Protocol calls
The categories gaining AI attention among Trading products this week.
The audiences gaining AI attention among Trading products this week.