What is an entity in search, and why does it matter?

An entity is a thing with one identity a search engine knows, a person, a place, a company or a product, however its name is written. The short definition is in the glossary.

Google keeps what it knows about entities in what it calls the Knowledge Graph, which it describes as a database of billions of facts about people, places and things, drawn from public sources that compile facts, from data it licenses, and from content owners themselves. It is explained in what is the Knowledge Graph, and how does Google know your business?

The difference between an entity and a keyword is that a keyword is text someone types, while an entity is a thing someone knows. The Arabic word "falak" means an orbit, the path of the planets, to anyone reading it without context; "Falak Dental Clinic in Al Rawdah, Jeddah", a fictional clinic from our examples, is an entity with an address, hours and doctors.

By the signals that repeat about it wherever it reads. Here are five, all of them in your hands:

• One name in two scripts: the same Arabic name and the same Latin name on the site, the profiles and the directories, not "Falak" in one place, "Falak Clinic" in another and a third variant somewhere else.
• Organization structured data: Google says it helps it understand your organisation's administrative details and disambiguate it in search results. It carries alternateName for your other name and sameAs for links to your profiles on other sites, and it is enough to put it on your home page or one page that describes your organisation.
• Consistent profiles: your Google Business Profile, your LinkedIn page and the directories that list you, with the same name, address and phone number, what is known as NAP.
• An About page with facts: who you are, what you offer, where, and since when, in sentences that can be checked rather than slogans; how that bears on trust is in what is E-E-A-T, and how does it relate to AI answers?
• A Wikidata item when the business warrants one: Wikidata accepts items for entities that can be described using serious and publicly available references, so the item follows real coverage, not the other way round.

Many Arabic business names are everyday words, and an engine may read our own name, Tasadr (تصدَّر), as a verb in a sentence, as in "the team topped the league", rather than as the name of a platform.

When we searched Wikidata for the word on 17 October 2026, the first results were a village in Morocco with a similar name and a news article about a candidate who topped an election's results; there was no item for our platform. A name alone is not enough: it needs around it what sets it apart, the domain, the Latin name, the field and a sentence saying what it is and what it is not.

The public pages of tasadr.ai carry Organization structured data that anyone can read in the page's source. These are its main fields, as they stand on the day this page was written:

Five steps that need no big project, mostly editing text and correcting listings, plus an hour of a developer's time for the structured data, and that everything else in optimising for AI answers (GEO) builds on:

• Choose one name, in its Arabic and Latin forms, and write it that way everywhere.
• Put Organization data on your home page, with the name, the other name, links to your profiles in sameAs, and a sentence that sets you apart from similar names.
• Make your Google Business Profile, your LinkedIn page and the directories state the same name, address and phone number, and correct whatever differs.
• Write an About page with facts that can be checked, not slogans.
• Write your Latin name beside the Arabic one on your pages: in our measurement of Arabic UAE buying questions in October 2026, business names often stayed in Latin letters inside the Arabic answers, as in does ChatGPT recommend you in the UAE in Arabic and English?