Products

A product is a thing a company sells, and it is an entity in its own right. A product line sits inside its company, can carry its own brand identity — its own positioning, its own look — and never has to "become" a brand to earn that. The flagship phone line, the AI model, the shoe: each is a product we can track, link work to, and follow over time.

How products connect to everything else

Read it as sentences: a company sells products; a product can contain smaller products; a product offers named features; content shows a product and can demonstrate a specific feature; and a campaign promotes the products it exists to sell.

What a product record holds

Beyond its name and its owning company, a product carries the facts that let questions be answered precisely: when it launched and whether it has been discontinued, whether it is the company's flagship, which bigger product it sits inside, and whether it operates as a brand in its own right — with a link to the entity that carries that brand identity when it does.

Features — what the product actually offers

Named features are the individual capabilities a piece of work can point at. This is what separates "this video is about the product" from "this video demonstrates this specific capability" — the second is a far sharper fact, and it is the level the classification works at whenever it can. Content links directly to the features it demonstrates.

One honest gap: today the features live in a tree of their own, and a feature is not yet keyed to the product that offers it. So "which pieces demonstrate this capability" is answerable now, while "which features does this product offer" is not — that link is work not yet done, not a fault in the model.

How work connects to a product

Content links directly to the products it shows, with one marked primary when a piece covers several. A campaign can likewise name the products it promotes. Both links carry who said so — whether an analyzer inferred it or a person confirmed it — like every other classification in the system.

The two homes, honestly

The product layer lives in two connected places: as entities labelled product lines inside their companies, and as product records carrying the detail — features, launch dates, flagship status. Both are real, they point at each other, and which one a browsing surface should lead with is still being decided on the open questions page.

The vocabulary

What category a product is in, what kind of thing it is, and what kind each feature is are governed values in the shared registry — the product category, product type and feature type pages list every value with its meaning.

A real example, straight from our data

ChatGPT is the flagship product of OpenAI, and it shows both homes at once: a product record carrying the detail, pointing at an entity of the same name that carries the brand identity, sitting under its parent company. 4,223 pieces of content link directly to it — ask "show me everything featuring this product" and that link is what answers.

The layer as a whole: 139 product records, of which 129 (92.8%) have content linked to them, and 2 are marked as operating as brands in their own right. Alongside them, 394 entities are labelled as product lines — the entity-side home of the same idea. The feature layer is real too, with its honest gap: 1,517 named features, 1,465 of them demonstrated by real work across 1,750 links — but a feature is not yet keyed to its product, so "which features does this product offer" cannot be answered from the data yet. That is work not done, not a fault in the model.

Where to look next

• Every value you can actually choose — the full vocabulary, starting with the product vocabularies.
• How many products we hold, and how full the layer is — the state of the data.
• Where the live system disagrees with this page — the conformance report.
• What is still undecided about products — the open questions.
• The exact tables and columns — the data reference.