Signals lens

Feedback Collection signals

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

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

Browse all Feedback Collection products

Search demand

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

50+ people's searches surfaced Feedback Collection products this week

+24%in distinct searchers vs last week

New-entrant attention

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

3.7% of Feedback Collection discovery attention goes to newcomers

Fresh launches make up 0.5% of the products winning discovery attention in the last 7 days.

Switcher pressure

How much alternative-shopping demand is flowing toward what Feedback Collection 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 Feedback Collection products - which audiences this space serves most.

Active conversation in this space

Distinct people reviewing and discussing Feedback Collection products. Last 7 days.

people actively reviewing and discussing

Pricing mix

How Feedback Collection products are priced. Helps buyers know what to expect.

Freemium46%
Free27.3%
Subscription20.1%
Paid3.6%
One-time2.9%

Platform availability

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

Market concentration

How concentrated discovery attention is across Feedback Collection products. Last 7 days.

35 / 100

competitive

FragmentedConsolidated

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

Herfindahl index: 44.2 / 10,000

AI engines discovering Feedback Collection

Top 5

The AI engines most active on Feedback Collection products, led by ByteDance. Last 7 days.

ByteDance
53.3% share
ChatGPT
19.2% share
OpenAI Search
12.6% share
Meta AI
12% share
Common Crawl
3% share

Device mix

How Feedback Collection gets discovered: desktop vs mobile. Last 7 days.

Desktop95.5%
Laptops and desktops
Mobile4.5%
Phones and tablets

Rising categories

Top 3

The categories gaining AI attention among Feedback Collection products this week.

Rising audiences

Top 3

The audiences gaining AI attention among Feedback Collection products this week.

Explore the whole marketEvery category, audience, platform, and AI engine on one page.

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 Feedback Collection 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 Feedback Collection; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

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

Yes. The Feedback Collection 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.