Entity SEO treats a business as one clear thing, not a list of keywords

An entity is anything a search or AI system can hold a distinct record for: a business, a founder, a product, a place. Entity SEO focuses mainly on the business and the people behind it, making sure each one is described the same way everywhere it appears rather than slightly differently on the website, the Google Business Profile, and any directory listing.

The core facts are simple and easy to underestimate: the exact business name, the category it operates in, who founded or runs it, where it is based, and what it actually does. Getting these five things to agree across every surface is most of entity SEO. It sounds basic because it is; what is rare is actually doing it everywhere the business has a presence.

Keyword SEO starts from the query: what phrase does someone type, and how does a page get written to match it. It rewards density, phrasing, and technical ranking factors tied to a specific search term.

Entity SEO starts from the business itself. Instead of asking which keywords to target, it asks whether a system reading the business from any angle would come away with the same, accurate understanding of who it is. A page can rank for a keyword and still leave a system unsure what the business actually does or who runs it, because ranking and entity clarity are measuring different things. See Reidify's AEO services for how entity clarity gets built into a site rather than added after the fact.

Structured data is the most direct lever. Schema.org markup lets a page state its entity facts in a format built for machine extraction rather than visual display: the organisation's name, category, founder, and location, tagged explicitly instead of implied by surrounding text.

Disambiguation matters most for businesses with a common name or a crowded category. Plain text on the page, and structured data behind it, should make clear which specific business this is, so a system with several similarly named options to choose from has an unambiguous reason to pick the right one.

Consistency closes the loop across the web. The same name, category, and description should appear on the business's own site, its Google Business Profile, and any directories or articles that mention it. A system checking a claim against multiple sources treats agreement as a trust signal and disagreement as a reason for caution.

A ranking algorithm can work with partial signals about a page and still place it well. An AI system forming an answer has less room for ambiguity: it is deciding whether to name a specific business in a specific recommendation, and an unclear or inconsistent entity is an easy one to leave out in favour of a business it can describe with confidence.

This is also why entity SEO is not a one-time task. New directories, new mentions, and new pages keep getting added to the web, and each one is a chance for the entity to drift slightly from how it is described everywhere else. Maintaining entity clarity is ongoing work, not a checklist that gets closed out once.