Distribution Map

The surface we map

A Distribution Map is the inverse of a channel dashboard. It maps the off-platform places a creator's audience is reachable but where the creator is currently absent: podcasts worth guesting on, peer channels worth collaborating with, communities worth joining, platforms worth repurposing to, and the search presence worth building.

YouTube's own analytics report the audience you already reach on YouTube. An editing or thumbnail retainer improves the videos you already publish. Neither surfaces the shows, channels, and communities next door, because seeing them requires resolving real entities outside the platform: feeds in a podcast index, peer channels in the same niche, named communities in your description text. That resolution is what this map does.

The evidence standard

Every opportunity in the map carries exactly one verbatim datum from your fetched channel data and resolves to a real named entity. Before the report is built, a mechanical gate enforces both halves. The datum must be a verbatim substring of the field it cites (normalized only for case and whitespace), or, if numeric, equal a fetched count exactly. The entity must resolve: a named podcast must carry a feed id from the candidate set we actually retrieved, a named peer channel must carry a real channel id, and a named community, platform, or website must be grounded by a name or URL that appears in your fetched descriptions, not by a coincidental shared word.

An opportunity whose datum does not trace, or whose named entity does not resolve, is dropped or rendered without a name and without a link, never with an invented id. The prompt asks for this; the gate proves it, because an instruction the model is asked to follow is not the same as a check the output must pass.

How it works

1. Fetch and resolve. We pull roughly 50 recent videos plus channel metadata, run a bounded peer-channel search in your niche, and resolve podcast candidates against a real podcast index so that named shows and channels carry verifiable ids.
2. Score the five surfaces. The same five attention surfaces the free Channel Attention Audit scores are read over a deeper window, now with the resolved peer-channel and podcast pools as real targets rather than estimates.
3. Generate ranked opportunities. Up to twelve opportunities are produced across podcast, repurposing, community, collaboration, and search categories, each ranked by evidence strength and fit to your stated goals, each with two to three concrete first moves and a one-line rationale.
4. Trace, resolve, deliver. The gate traces every datum and resolves every entity, drops what fails, and the survivors are rendered into the delivered PDF.

Accuracy and limitations

• Shorts are classified by a duration heuristic, labeled as a heuristic rather than a measured fact.
• We reason from public metadata, not transcripts, so relevance rests on titles, descriptions, and the resolved records.
• The search surface reads linked web presence, not live search rankings or domain authority.
• The map can deliver fewer than twelve opportunities. If validation drops weak ones, you receive an honest, shorter map rather than a padded one. Where an entity cannot be grounded, the opportunity is shown descriptively with no link rather than with an invented name.

What we do not claim

A Distribution Map tells you where to show up, not what will happen when you do. It does not promise that any surface will produce views, subscribers, growth, or a booking, and it does not contact anyone on your behalf. It is a grounded map of reachable surfaces, and the decision and the execution remain yours.