What does entity building for AI search provide?
Entity building helps search engines and AI services recognize exactly which company, product, or person is being discussed. The work focuses not on a single keyword, but on the consistency of facts and relationships that distinguish a brand from similarly named organizations.
If the website uses one name, directories use another, and the product description differs from public profiles, it becomes harder for systems to match sources. We establish the primary name, short and full descriptions, category, official domains, products, and related organizations. We then note discrepancies and determine which are most important to fix first.
This project is suitable for companies that already have public mentions, directory profiles, or multiple products, as well as brands that want to prepare a foundation for GEO and AEO. First, check if the company's identity can be quickly confirmed from open sources:
- Do the name and domain match on the website and in public profiles?
- Is there an up-to-date product description and its category?
- Is it clear which organizations or products are related to the brand?
For an overall picture of visibility in AI search, this service can be combined with a GEO audit or you can explore the AI search visibility direction.
How do we align data from the website, Wikidata, and Crunchbase?
A brand entity becomes clearer when key facts on the website and external platforms do not contradict each other. We start with the company's main page and cross-reference it with sources that already exist and are suitable for the project.
On the website, we check the "About" page, contacts, product descriptions, and structured data. We evaluate external directories based on their content, relevance, platform rules, and the possibility of verifying information. We consider Wikidata and Crunchbase not as mandatory items for every business, but as potential sources: whether a record exists or should be created depends on meeting their criteria and having available evidence.
To link official pages and profiles, we use the sameAs approach: we only list addresses that genuinely represent the same organization or entity. Before implementation, we verify that the link leads to an official profile, not a similar company or third-party material. As a result, you receive a list of sources with notes: keep as is, update, verify eligibility for a profile, or do not use.
To start, prepare the official domain, approved company and product descriptions, a list of existing profiles, and documents or publications that confirm key facts. If the website requires improvements, recommendations can be combined with technical AEO optimization.
What is included in an entity building project?
The project includes an analysis of available brand signals, alignment of core information, and a concrete plan for changes. The scope depends on the number of products, brands, and active profiles, but the result is not an abstract list of tips, but a working data map.
The work may include:
- An inventory of official pages and public profiles;
- A table with the canonical name, descriptions, domains, products, and relationships;
- A list of discrepancies with the source and required action;
- Recommendations for the company page, directory profiles, and the use of Wikidata or Crunchbase;
- Verification of sameAs logic and structured data requirements;
- A prioritized implementation plan for your team.
In the table, we record not only the desired value but also its basis: the official website, a public profile, or evidence provided by the company. This helps editors and developers use consistent wording without creating new variations of the name and description with each update.
If you need not only identity corrections but also regular tracking of mentions, check out the AI visibility monitoring service. For developing a verified media presence, Digital PR for AI citations may be useful.
How does the work proceed and what should be prepared in advance?
The work begins by agreeing on which company or product needs to be represented as an entity and which facts are considered official. The team then studies existing signals, prepares a change map, and delivers recommendations for implementation.
A typical project order looks like this:
- Briefing: You describe the brand, target markets, products, and important relationships between them.
- Inventory: We collect the profiles you provide and those publicly available, and cross-reference them with the website.
- Entity Model: We establish canonical information, official pages, and verifiable relationships.
- Implementation Plan: We distribute tasks among the editorial team, developers, and those responsible for external profiles.
- Change Control: After implementation, we verify the consistency of updated pages and note any remaining tasks.
The project timeline is determined after an initial assessment of the number of entities, the availability of source data, and the need for implementation. To avoid delays, appoint one person to confirm official wording, provide a list of profiles, and indicate who can edit the website and external pages. In the report, we separate recommendations that require action from your team from those that can be completed within the agreed project scope.
What are the limitations of Wikidata, directories, and AI services?
We can prepare a consistent profile and make agreed-upon corrections, but we do not control the decisions of external platforms. Wikidata may reject or change a record according to its own community rules; a directory may request verification or restrict editing; and the algorithms of ChatGPT, Perplexity, and search engines independently choose and update their sources.
Therefore, the project's outcome is primarily measured by completed tasks: whether the website and profiles match the approved facts, whether official pages are correctly linked, and whether agreed-upon changes are implemented. A mention in a response, a knowledge panel, a ranking, or a specific description in an AI service is not work that can be guaranteed by entity configuration alone.
Before starting, ensure the team has evidence for significant claims: an official product page, company information, public documents, or authoritative publications. Do not add unverified relationships to a profile, create multiple competing descriptions, or consider any external page an official source. If a fact is disputed, first agree on it with the brand owner and indicate where it is confirmed. This approach reduces the risk of contradictions and makes the profile easier to verify.
Prices
| Service | Price | Quote |
|---|---|---|
| Entity Building | from $700 / project |
Starting prices in USD. Custom bundles and volume discounts on request. Payment in USDT, USDC, BTC, ETH, SOL, TON or your project token.
How it works
- Agree on the scope of workDetermine which brand, company, or products are included in the project. Identify a contact person who will confirm official information.
- Cross-reference digital sourcesCollect the website, directories, and existing profiles. Note discrepancies in names, descriptions, domains, and relationships.
- Prepare the entity mapAgree on a unified set of facts and a list of pages where they need to be confirmed or updated.
- Deliver the implementation planDistribute tasks for the website, markup, and external platforms, considering each platform's requirements.
- Verify completed changesCross-reference updated materials with the approved map and record any remaining actions.
Frequently asked questions
How much does entity building cost?
The project cost starts from $700 / project. The final scope and composition of work are agreed upon after assessing the number of entities, profiles, and implementation tasks. Before starting, we clarify the list of sources and define the agreed project outcomes.
How long does the project take?
The timeline is agreed upon after reviewing the initial data and the number of platforms. It is influenced by the availability of evidence, the number of brands, and whether the project requires only recommendations or also includes making agreed-upon changes.
Is it necessary to create a page on Wikidata?
No, creating a page is not a mandatory goal for every project. First, we assess whether the organization meets Wikidata's rules and whether the information can be confirmed by independent sources. If there is insufficient basis, we note this and focus on the official website and suitable profiles.
What should be prepared before starting the work?
Provide the official website, approved company and product descriptions, a list of known profiles, and a contact person responsible for facts. Documents or publications that confirm significant information and relationships are also helpful.
Will entity building help get into ChatGPT or Perplexity answers?
It helps make brand information more consistent and verifiable, but it does not, by itself, determine which sources an AI service uses. We are responsible for the agreed-upon audit, entity map, and specified changes, not for including the brand in a specific answer. You can read about the approaches on the ChatGPT optimization and Perplexity pages.
How is this service different from a GEO audit?
A GEO audit looks at visibility in AI search more broadly: sources, content, technical signals, and growth opportunities. Entity building focuses on brand identity, fact consistency, profiles, and relationships between official pages. These efforts can start with an audit and then move to corrections.
Tell us about your project
Answer four quick questions and a manager will send you a plan, timing and a price range within the hour. Everything stays confidential.
Loading the form…