Restaurants signals

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

Search demand

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

50+ people's searches surfaced Restaurants products this week

+24%in distinct searchers vs last week

New-entrant attention

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

21% of Restaurants discovery attention goes to newcomers

Fresh launches make up 10.4% of the products winning discovery attention in the last 7 days.

New-entrant momentum

Whether fresh products are joining Restaurants faster than the week before.

New entrants are accelerating in Restaurants

+100%

Switcher pressure

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

Light+32%

A trickle of alternative-shopping demand flows toward what this space challenges. Demand is rising week over week.

What this is for

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

Pricing mix

How Restaurants products are priced. Helps buyers know what to expect.

Subscription43.5%
Freemium30.4%
Free21.7%
One-time2.2%
Paid2.2%

Platform availability

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

Market concentration

How concentrated discovery attention is across Restaurants products. Last 7 days.

44 / 100

consolidating

FragmentedConsolidated

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

Herfindahl index: 262.5 / 10,000

Device mix

How Restaurants gets discovered: desktop vs mobile. Last 7 days.

Desktop91.4%
Laptops and desktops
Mobile8.6%
Phones and tablets

Explore signals by lens

Slice AI activity by what products do, who they serve, where they run, and which AI is surfacing them.

Use cases

What people keep asking AI to find products for.

Browse all use cases

Audiences

Who the most-surfaced products are built for.

Browse all audiences

Platforms

Where products ship - web, mobile, CLI, MCP.

Frequently asked questions

It shows how AI assistants, crawlers, and humans are discovering products in Restaurants 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 Restaurants; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

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

Yes. The Restaurants signals are free to view on the public tier, with deeper history and detail available on Pro.