Glossary

What is Entity clarity?

Entity clarity is how unambiguously machines can determine what a business is — its name, category, location, and offering — from its website and the public records around it.

What signals establish an entity?

On-site: a plain-prose sentence saying what you are (not only in JSON-LD — machines that read rendered text, and humans, need it too), Organization structured data with a reachable contact, an About page, and consistent naming everywhere. Off-site: presence in public registries like Wikidata and consistency across the directories and profiles that mention you. Ambiguity anywhere makes systems hedge — and a hedging system recommends someone clearer.

What is structured data?

Why do AI systems weigh entity clarity so heavily?

Because recommending a business is an act of trust: the system must be confident the thing exists, is what it claims, and is distinguishable from similarly named things. SeeGeo's own audit initially scored its maker 66/100 here — the definition lived only in structured data, with no About page — and an afternoon of exactly these fixes moved it to 92. The levers are cheap; the neglect is just common.

That case study

What's the most common entity mistake?

Inconsistency across surfaces: one name on the site, a variant on the directories, a third in old profiles, each with a slightly different description. Machines resolve entities by matching signals across sources — every mismatch lowers their confidence that these are the same thing, and a low-confidence entity gets hedged out of recommendations. One canonical sentence, used identically everywhere, beats ten artisanal variants.

Frequently asked questions

What does Entity clarity mean?

Entity clarity is how unambiguously machines can determine what a business is — its name, category, location, and offering — from its website and the public records around it.

What's the fastest entity-clarity fix?

Write one sentence — '[Name] is a [category] that [what it does] for [whom]' — and put it in your homepage's visible copy, your About page, and your Organization schema, identically. Consistency across the three is itself the signal.

Does an About page really matter to machines?

Yes — it's a canonical place both search quality guidelines and AI source-weighing look for who's behind a site. Its absence reads as a trust gap; a factual one with real contact details anchors the entity cheaply.

What is Wikidata and should I be in it?

A public database of entities that many AI systems consult to confirm a thing exists and what it is. A minimal factual item — name, site, type, location — takes about fifteen minutes and is a legitimate, free credibility anchor.

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