How it works

Three steps for you. Then we do the research.

Peerfield identifies the creators and brands competing for similar audience attention. Your five strongest peers are free; the complete map is a one-time purchase for that channel.

  1. Step 1

    Paste your channel

    A channel URL or @handle. No account, no questionnaire, nothing to configure.

  2. Step 2

    Confirm it is the right channel

    We look the channel up straight away and show you what we found — name, handle and size. You confirm before any research starts, so it never runs on a look-alike.

  3. Step 3

    Leave your email and go

    Research runs in the background. We email you a secure link when your Peerfield is ready; you do not need to keep the page open.

The research

Five stages, then a researcher checks the complete map.

Everything below happens after you confirm your channel, without you waiting on the page. Here is exactly what runs.

  1. Channel identified

    We resolve the URL or handle you pasted to one YouTube channel and read its public profile: title, description, language, country, size and recent uploads.

  2. Content landscape analyzed

    We map what the channel is about — topics, formats, the questions it answers and the search intent it serves — so peers are found by what the audience wants, not by keywords alone.

  3. Potential peers discovered

    We look for creators and brands that reach the same kind of audience: similar topics, overlapping search results, comparable products and offers, the same language and region.

  4. Commercial peers classified

    For each candidate we classify how they make money and whether they advertise — own products, courses, sponsorships, subscriptions, ads on YouTube/Google, LinkedIn and Meta (Facebook, Instagram) — using public ad libraries and landing pages.

  5. Results verified

    Your five strongest peers are ranked automatically and sent as soon as the research is done. Before a complete map is released, a researcher reviews the ranked list, removes false matches and confirms the reasons.

Human verification

Why a person is in the loop

Automated discovery is good at finding candidates and bad at knowing when it is wrong. A name that looks similar, a channel that changed niche, a brand that only sponsors but does not compete — a researcher catches these before the complete map is released.

What the reviewer does

  • Confirms each peer really competes for the same audience
  • Corrects peer types and removes false matches
  • Checks that every reason is specific to your channel

What it means for you

  • No instant result — you get an email when it is ready
  • Fewer, better names instead of a long noisy list
  • A status page shows which stage your research is in

What you get

Your five strongest peers are free.

The free result names the five strongest matches for your channel, ranked automatically — never a random sample — with the reason each one competes with you, plus a count of everything else the research found.

Free, for one channel

  • Your 5 strongest peers, ranked by peer relevance
  • Why each one competes for similar audience attention
  • How many more relevant peers we identified
  • What the wider field sells and where it advertises, in aggregate

Complete Peer Map — one-time purchase

  • Up to 1,000 researched creators and brands, ranked and classified
  • Why each peer competes with you
  • How they make money, where that is observable
  • Where they advertise and which landing pages they use, where that is observable

Bought once for the channel you analyzed — including later re-runs of it. See pricing.

Peer relevance

What "peer relevance" means — and does not mean

Every peer carries a score like “87% peer relevance”. It is a model estimate of how closely that channel or brand competes for the same audience.

It is built from

  • How closely the topics and formats overlap with yours
  • Whether you show up for the same searches and questions
  • Whether you address the same audience intent and product category
  • Language, region and channel size, so a peer is realistically comparable

It is not

  • A measurement of shared viewers or subscribers — that data is not public
  • A statement about which of your viewers also watch someone else
  • A ranking of quality or success

The score is labeled “peer relevance” everywhere on purpose. If we ever show audience overlap, it will be marked Observed and backed by a public source.

Peer types

Four kinds of peer

Not every competitor is a look-alike. Each peer is tagged with the way it competes with you.

Direct PeerDirect Peer
Covers the same topics for the same kind of audience at a comparable scale.
Adjacent PeerAdjacent Peer
Serves an overlapping audience from a neighboring topic or format.
Aspirational PeerAspirational Peer
Same audience and topic, but at a materially larger scale.
Commercial PeerCommercial Peer
A brand or business that markets to this audience rather than a creator.

Evidence classes

How we label what we know

Observed
Directly observed from a public source (a page, an ad, a listing) at the time shown. This is a verified fact, not a guess.
Estimated
Derived from observed data using a documented method (for example, a range inferred from public counts). Treat as an approximation.
Inferred
Concluded from indirect signals by our analysis. Plausible, but not directly verified — check the source before relying on it.