Entity SEO Services:Become the Brand Search and AI Can Identify

Entity SEO is the work of making a person, brand or organization a clearly identified thing that search engines and AI assistants can resolve, instead of a name that could refer to anyone. It combines consistent names and descriptors, structured data that states the facts, authoritative profiles that agree, and independent corroboration. It is about being identified correctly, not about ranking for a phrase. No one can guarantee how an engine will describe you.

A knowledge graph is a collection of entities and the relationships between them, and engines build their own from information across the web. Knowledge graph optimization means making the facts that feed them consistent, unambiguous and corroborated. We cannot edit Google's graph directly. We work on the sources it draws on and on how clearly your entity is stated, and we report what the engines show each month.

It can help engines understand who and what a page is about. Google says it uses structured data to understand page content, including the people and companies mentioned, but also that it does not guarantee features built on it will appear in search results. We make no claim that any particular AI assistant reads schema. We use it as one clear, low-risk way to state facts, alongside the corroboration that does the convincing.

It is the same work aimed at the way assistants describe you: making sure the name, descriptor, leadership and relationships they would draw on are consistent and well corroborated. Assistants repeat the facts they can resolve, so an unclear entity gets a vague or blended description. We test that by asking the engines identity questions monthly and recording the answers. No one controls exactly what an assistant says.

Keyword SEO asks which page should rank for a phrase. Entity-based optimization asks whether an engine knows who or what you are and trusts the facts it has about you. The two work together, because clear entities help engines connect your pages to the right searches, but the deliverables differ: canonical facts, structured data with sameAs, aligned profiles and corroboration, rather than keyword targeting alone.

We map the relationships engines may get wrong: parent and subsidiary brands, founders and former executives, previous names, acquired companies and namesakes. Then we make each one explicit and consistent in your markup, profiles and press. That reduces the chance of an assistant merging or splitting entities, but it is hygiene, not a shield. If an assistant already states something false, that is a correction problem we handle under AI reputation management.

No. Google's Organization structured data documentation recommends properties such as name, url, logo and sameAs, and says it does not guarantee that features using structured data will appear. Its Knowledge Panel help page describes panels as generated automatically from information across the web. Markup helps state the facts, but a panel depends on Google's own systems. Our Knowledge Panel service builds the signals Google needs and is 100% results-based: if your panel is not live, you do not pay.

Not necessarily, and many brands do not qualify for either yet. Wikidata accepts an item that meets at least one notability test: a valid sitelink to a Wikimedia project, a clearly identifiable entity described by serious and publicly available references, or a structural role in other items. Wikipedia has its own separate rules. We check honestly whether you qualify, and if you do not, we build the independent sources that could change that. If a new Wikipedia page is realistic and we take the case, creating it is 100% results-based: you pay only if the page is published.

No. Google generates panels automatically from information across the web, so there is nothing to purchase, and we do not sell one. A subject or official representative can claim an existing panel and suggest changes. We build the verified signals Google needs and complete verification when the panel appears. Because no one can promise that a panel appears, when, or what it shows, we carry that risk: creating a Knowledge Panel is 100% results-based, so if yours is not live, you do not pay.

Yes. Person entities have the same problem: shared names, outdated titles and scattered profiles. We apply Person markup with sameAs for founders and executives, align their profiles and corroborate through bylines, interviews and speaking. That corroboration work is shared with our executive branding and thought leadership services. As with companies, we cannot promise how an engine will describe a person, only make the facts clearer.

Changes on pages you control can go live once approved, but when engines pick them up is up to each engine. Corrections on third-party profiles depend on each platform, and corroboration builds over months as more independent sources agree. A Knowledge Panel cannot be scheduled at all. That uncertainty is why we measure monthly and report what actually changed, including the months when nothing did.

It depends on scope, not a flat rate: how many names, people and brands are involved, how many profiles and pages need correcting, whether Wikidata or a panel is realistic and how much corroboration work exists. We do not publish figures because any number without your scope would be a guess. Every engagement starts with a free AI visibility audit, and anything beyond it is quoted in writing before you commit. The exceptions are creating a Wikipedia page and creating a Google Knowledge Panel, which are 100% results-based: you pay only if the page is published or the panel is live.