1. Nguồn
Một lượt tra cứu thực thể trực tiếp trong Knowledge Graph. Kết quả xác định nguồn gốc của bằng chứng.
The Knowledge Graph Checker is an entity lookup. It sends a brand, person, product or organization name to the public Knowledge Graph and shows the returned matches with their types, descriptions and result scores.
Chạy một kiểm tra thực tế ở trên
Gửi một URL công khai, tên miền, hoặc từ khóa. Novaverb sẽ chỉ hiển thị bằng chứng mà công cụ này thực sự có thể lấy hoặc đo lường.
A Knowledge Graph checker is a tool that looks a name up in the Knowledge Graph, a database of real-world entities and the relationships between them. The Novaverb Knowledge Graph Checker is an entity lookup: the submitted name is sent to the public lookup and whichever entity matches come back are displayed.
The Knowledge Graph checker checks whether the public lookup returns an entity for the submitted name. For the top match it shows the entity name, its types, a short description, a longer detail text with a source link, an image when one is returned and the result score. Other possible matches are listed with their own scores.
The Knowledge Graph checker is for people who manage how a brand, person, product or organization is identified. A founder of a newer company checks whether the name returns any entity. An SEO checks whether a common brand name resolves to a different, better-known entity. A content lead confirms the returned type and description.
A Knowledge Graph checker shows how a name resolves before entity work is planned on an assumption. A common name may match another entity entirely, which is what an engine resolving that name would also find. Seeing that early points the effort toward disambiguation: a consistent name, Organization markup and sameAs links.
The Knowledge Graph checker works as a direct lookup. The submitted entity name is sent to the public Knowledge Graph lookup. Returned names, types, descriptions and result scores are displayed without converting the score into a probability. An empty response is presented as no match returned by this lookup, not proof that the entity is unknown everywhere.
Enter an entity name into the Knowledge Graph checker, not a URL. Use the name exactly as it is published on the site and in its schema.org Organization markup, whether that is the full legal name or the common one. A web address is the wrong input, because the lookup matches names against recognized entities.
NovaverbTÊN của một thương hiệu hoặc tổ chức - chúng tôi hỏi Knowledge Graph công khai xem đó có phải là một thực thể được công nhận hay không.Your Company LtdTên pháp lý đầy đủ hoặc tên thường gọi đều dùng được; chúng tôi đối chiếu tên đó với các thực thể đã được công nhận.https://novaverb.comCông cụ này nhận một tên, không phải một URL - hãy nhập chính tên thương hiệu hoặc tên thực thể.The Knowledge Graph checker report contains a verdict, an entity card and a list. The verdict reads recognized entity or no confident entity match. The card shows the top match with its name, match score, type labels and description. The list holds other possible matches. An evidence boundary states what a match does not measure.
Read a Knowledge Graph checker result by reviewing name, type and description together, since a common query can legitimately return a different entity. Confirm that the top match is your entity and not a namesake. Treat the result score as an ordering of relevance for this query, never as a probability or a ranking metric.
Knowledge Graph là cơ sở dữ liệu của Google về các thực thể trong thế giới thực - thương hiệu, con người, sản phẩm, địa điểm - và các sự thật và mối quan hệ giữa chúng. Khi thương hiệu của bạn là một thực thể được công nhận, các công cụ tìm kiếm và các công cụ trả lời AI có thể gán nội dung cho bạn với sự tự tin, điều này thúc đẩy các bảng kiến thức, kết quả phong phú và trích dẫn chính xác trong các câu trả lời sinh ra.
Hầu hết các thương hiệu mới hơn không có trong Knowledge Graph. Đây là kết quả của các tín hiệu trên tích lũy theo thời gian - một kết quả trống là một điểm khởi đầu, không phải một phán quyết.
The Knowledge Graph checker gets its data from a live Knowledge Graph entity lookup. The matches, entity fields and result scores are those returned by the public lookup for the submitted query. The tool adds no judgment of its own to the response, and the check does not read your website or its markup.
The Knowledge Graph checker does not tell you whether a knowledge panel will appear. The result reports matches returned by the public lookup, and the score ranks relevance for this query only. The score is not a probability or a ranking score, and a match does not measure how prominently the entity appears in search.
A Knowledge Graph checker result proves what the public lookup returned for the submitted text: the entity matches with their available types, descriptions and scores. An empty response proves only that this lookup returned no match. Universal non-recognition, a future knowledge panel, a ranking or an AI citation cannot be concluded from either outcome.
Một lượt tra cứu thực thể trực tiếp trong Knowledge Graph. Kết quả xác định nguồn gốc của bằng chứng.
Phần này báo cáo các kết quả khớp do tra cứu Knowledge Graph công khai trả về. Điểm số xếp hạng mức độ liên quan cho truy vấn này; nó không phải là xác suất, không phải điểm xếp hạng, và không phải bằng chứng rằng một bảng kiến thức sẽ xuất hiện.
Sử dụng phát hiện để xác minh một vấn đề, sau đó kết nối một không gian làm việc khi bạn cần lịch sử, giám sát hoặc phân tích toàn bộ trang web.
The Knowledge Graph checker applies the published lookup documentation and schema.org. The Knowledge Graph Search documentation defines the returned entity fields and the result score. Schema.org defines the Organization and sameAs markup a site can publish to describe itself. The tool reports the lookup response and does not claim that markup alone creates recognition.
Giải thích markup Organization và sameAs mà không khẳng định rằng markup tạo ra sự công nhận.
Đọc thông số kỹ thuậtBáo cáo các kết quả trùng khớp và điểm số kết quả mà tra cứu công khai trả về cho truy vấn này.
Đọc thông số kỹ thuậtVerify a Knowledge Graph checker result by running the lookup again with each published form of the name, the full legal name and the common name, and comparing the entities returned. Then follow the source link beside the detail text of the top match and confirm that the description refers to your organization.
A typical Knowledge Graph checker finding for a newer or niche brand is no confident entity match, which means the entity is not established in this lookup yet. The other case is a brand with a common name: the top match is a different entity with another type label and description, a real and useful result.
The Knowledge Graph checker is free and the lookup runs without an account. An account is needed to act on the answer: in a workspace the site itself is connected, so its Organization schema, sameAs links and the signals that reinforce an entity can be audited, and the evidence is saved.
A Novaverb workspace adds the site behind the name to the Knowledge Graph checker. GEO & AEO Readiness is the product that continues the job: it inspects captured page structure for answer readiness and tracks provider-observed visibility separately. Evidence is saved, the site is crawled as a whole, and a finding becomes a task that is rechecked.
A free Knowledge Graph checker is not enough when the question is why a name does not resolve, or whether that is changing. One lookup shows one response for one query. Finding inconsistent naming or missing Organization markup takes a crawl of the whole site, and watching recognition build takes measurement repeated over time.
After running the Knowledge Graph checker, work through the entity signals in order. Settle on one exact name and use it everywhere. Publish schema.org Organization markup with a stable identifier and logo. Add sameAs links to official profiles. Earn references from reputable sources. Then run the lookup again, since recognition builds as those signals accumulate.
The Knowledge Graph checker pairs with free tools that work on the markup an entity lookup cannot see. The Schema Markup Generator builds the Organization JSON-LD that declares an entity. The Meta Tag Checker reads a live page and shows its JSON-LD structured data. The GEO Checker inspects observable page signals that support retrieval, answer extraction and attribution.
The Knowledge Graph checker FAQ answers what an empty result means for a brand, what an entity is and how an organization gets recognized as one. Other questions cover what the result score tells you, how an entity differs from a keyword, why sameAs matters and whether a match means a knowledge panel will appear.
It submits the query to the public Knowledge Graph lookup and returns available matches with their entity types, descriptions and result scores.
An empty result means no confident entity match was found yet, not that your brand can never be recognized or rank. Recognition often grows as consistent references and authoritative signals accumulate over time.
An entity is a distinct real-world thing, such as a person, company, product or place, that Google understands as a unique node with attributes and relationships, rather than just a matching string of text.
Publish consistent name, description and details, add schema.org Organization markup with sameAs links to authoritative profiles, and earn references from reputable sources. Consistency across the web helps Google form a confident entity match over time.
The result score orders how relevant a returned match is to this lookup. It is not a probability, ranking metric or guarantee that a knowledge panel will appear, so verify the entity name, type and description together.
A keyword is a text string people search. An entity is a disambiguated real-world thing Google understands with attributes and relationships. Entities power richer understanding, letting Google connect concepts beyond literal keyword matching.
Recognized entities help search engines and AI answer engines understand who you are, disambiguate your brand, and surface it in knowledge panels and generative answers, strengthening trust, relevance and visibility beyond keyword matching alone.
Organization markup declares your name, logo, description and sameAs links to authoritative profiles in a machine-readable form. This structured evidence helps Google connect and confirm your entity, supporting a more confident Knowledge Graph match.
No. A match confirms Google recognizes the entity, but whether a knowledge panel appears depends on query context, confidence and Google's own display decisions. Recognition is necessary but not sufficient for a panel.
sameAs links connect your site's Organization markup to authoritative external profiles that describe the same entity. These corroborating references help Google verify identity and consolidate signals, improving the chance of a confident Knowledge Graph match.