Signals lens

Trip Planning signals

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

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

Browse all Trip Planning products

Search demand

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

50+ people's searches surfaced Trip Planning products this week

New-entrant attention

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

5% of Trip Planning discovery attention goes to newcomers

Fresh launches make up 3.1% of the products winning discovery attention in the last 7 days.

Switcher pressure

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

Moderate

A steady stream of people are weighing the incumbents this space goes up against.

Who this serves

The audience mix across Trip Planning products - which audiences this space serves most.

Pricing mix

How Trip Planning products are priced. Helps buyers know what to expect.

Free55.1%
Freemium30.8%
Paid7%
One-time4.3%
Subscription2.7%

Platform availability

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

Market concentration

How concentrated discovery attention is across Trip Planning products. Last 7 days.

22 / 100

competitive

FragmentedConsolidated

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

Herfindahl index: 58.6 / 10,000

AI engines discovering Trip Planning

Top 5

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

Meta AI
65.1% share
ByteDance
14.2% share
ClaudeBot
7.3% share
OpenAI Search
6.5% share
Perplexity
3.1% share

Device mix

How Trip Planning gets discovered: desktop vs mobile. Last 7 days.

Desktop93.7%
Laptops and desktops
Mobile6.3%
Phones and tablets

Surface mix

Trip Planning traffic by channel - web, MCP, API, RSS. Last 7 days.

Web89.8%
Direct browsing + search
MCP10.2%
Model Context Protocol calls

Rising categories

Top 2

The categories gaining AI attention among Trip Planning products this week.

Rising audiences

Top 2

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

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

Yes. The Trip Planning 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.

Outrank board

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391,690 impressions since Sep 3
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