Signals lens

Restaurants signals

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

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

Browse all Restaurants products

Search demand

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

25+ people's searches surfaced Restaurants products this week

+18%in distinct searchers vs last week

New-entrant attention

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

4.2% of Restaurants discovery attention goes to newcomers

Fresh launches make up 3.3% of the products winning discovery attention in the last 7 days.

Switcher pressure

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

Light

A trickle of alternative-shopping demand flows toward what this space challenges.

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.

Subscription42.9%
Freemium32.1%
Free21.4%
One-time1.8%
Paid1.8%

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.

27 / 100

competitive

FragmentedConsolidated

Restaurants is competitive - attention is shared across a broad field with a few pulling ahead.

Herfindahl index: 179 / 10,000

AI engines discovering Restaurants

Top 5

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

Meta AI
56.7% share
ByteDance
16.7% share
Perplexity
6.7% share
OpenAI Search
5.8% share
Parallel Crawler
5% share

Device mix

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

Desktop95.1%
Laptops and desktops
Mobile4.9%
Phones and tablets

Rising categories

Top 2

The categories gaining AI attention among Restaurants 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 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.

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.