How do AI engines identify your business?

This is the identity stage of the getting cited by AI pillar: the page can be crawled and answers the question, but the engine still has to attribute it to a business it can describe.

What is a business entity in AI search?

An entity is the thing behind the pages: the business itself, with a name, a category, locations, and relationships to other records on the web. When an engine mentions or recommends a business, it is making a claim about the entity, assembled from every source that describes it, not just the page in front of it.

That assembly is where businesses fail invisibly. Your page can be the best answer available, but if the engine cannot connect the page, the brand name, the Business Profile and the review records into one confident identity, it has a fact it cannot safely attribute.

Why does consistent naming matter?

Because reconciliation runs on matching. If your website says "Wade Building Co", your Business Profile says "Wade Building Company Pty Ltd", and directories carry "Wade Builders", the engine has three candidate entities and weak evidence they are the same one. Every variant you tolerate is a chance to split your identity or hand it to a similarly named business.

Pick one public-facing name and use it everywhere: site, schema, profiles, directories, review platforms, social accounts. Keep the legal name in legal contexts; the entity name buyers and engines see should not vary. This applies doubly for local businesses, where a name is often shared by unrelated companies in other cities.

What information should an About page state?

The About page is the page engines can most safely quote about who you are, so state the facts plainly in the first paragraphs: what the business is, what category it belongs to, who it serves, where it operates, and since when. Write the category sentence the way you would want an AI answer to phrase it, because that sentence is what tends to get reused.

Add the verifiable specifics that separate you from a generic description: founders and their roles, locations served, credentials or licences where relevant. Vague About pages ("we're passionate about excellence") give an engine nothing attributable; concrete ones do the entity's talking.

What does Organization or LocalBusiness schema contribute?

Schema states your identity in a machine-readable form on your own site: name, URL, logo, and for local businesses the address, service area and hours. Use the type that matches reality; a plumber is a LocalBusiness (or its subtype), a software company an Organization, and the properties should mirror what the visible pages say.

Treat it as accurate self-description, not a ranking device. Google documents no special schema requirement for AI features; the value of the markup is that it removes ambiguity about who publishes the site, which is exactly the failure mode entity work targets.

How should sameAs links be used?

sameAs connects your schema to the other records that are you: your LinkedIn page, Business Profile map link, review-platform profiles, social accounts, and Wikipedia or Wikidata entries if you genuinely have them. It is an explicit statement that these scattered records describe one entity.

Only link records you control or that are verifiably about you. A sameAs pointing to a stale profile with a different name or an abandoned account adds conflict instead of resolving it; audit the targets before you connect them.

Why do Business Profile and directory records matter?

Because they are the independent half of the reconciliation. Engines weight records a business does not fully control: a Google Business Profile with a category, address, hours and reviews; industry directories; established listing sites. When those agree with your site, your identity is corroborated by parties other than you.

For local businesses these records also carry the location facts that decide local answers: which suburbs you serve, where you actually are. Keep name, address, phone and category identical across them, and claim the profiles you have not claimed; an unclaimed profile with wrong hours is an error source publishing under your name. This overlaps with third-party proof, where the same independent sources also carry reputation.

How do you diagnose an ambiguous business entity?

Ask the engines directly and read the answer literally. "What is [business name]?" and "Who is [business name] in [city]?" across two or three engines reveals the entity state fast:

• Correct and specific means the entity resolves; move your attention to content and proof.
• Vague but not wrong usually means thin records: the About page and profiles do not state enough facts to describe you.
• Confused with another business means naming collision; strengthen the disambiguating facts (location, category) everywhere.
• Unknown means the records are missing or inaccessible; verify crawler access before assuming anything else.

Re-run the same questions after fixing the records. Entity answers move as engines re-encounter the corrected sources, so treat this as a tracked outcome, not a one-time setup task.

How CiteAgentic represents entity connections in the Authority Map

Product example. CiteAgentic's Authority Map draws the entity's connections as they exist in your tracked data: your buyer segments and topics, the questions under them, the pages that answer each question, the competitors named in answers, and the off-site sources engines cite. Profile and entity checks in the audit surface missing or inconsistent records (schema absent, naming variants, unclaimed or inconsistent profiles) as findings with fix tasks, and local source coverage shows which location-relevant sources describe you versus your competitors. Everything shown is evidence-matched from scans; sources not yet tracked are labelled as untracked rather than guessed at.