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AI Search Visibility

Entity building for AI SEO for growing companies, handled with discretion

Your company’s identity can be reviewed across its website, directories, Wikidata and Crunchbase. A named contact keeps the work composed, with public changes shown for your approval.

In shortEntity building for AI SEO aligns the public facts that identify your company and connect it with its products. You receive a source inventory, prioritized recommendations and support with approved updates. Timing follows the number of sources, access and any independent reviews; the scope is agreed before work begins.
  • Discreet and white-glove
  • Start within 24 hours
  • Pay in USDT, BTC or your token

Updated:

A clear identity begins with the sources that matter

Entity building brings together the sources that describe your company, while preserving the differences each source requires. The route depends on which facts are unsettled and who maintains the relevant records.

Route Best suited to What we examine
Owned website Establishing the company’s source of truth Names, descriptions, products and relationships
Directories and Crunchbase Reconciling existing public profiles Accuracy, ownership and evidence for proposed updates
Wikidata Considering a shared knowledge record Suitability, sourcing and whether a change is warranted

A considered plan does not create a profile simply to increase the number of listings. It first identifies the authoritative company name, the correct website, and any product or parent-company relationships that need explanation. Then it compares those facts with existing records. The result is a practical distinction between corrections your team controls and proposals that require an outside review.

Your facts stay private until you approve their use

The review begins with the facts your company is willing to verify, not assumptions drawn from scattered profiles. A named contact coordinates questions, keeps the working record in one place and distinguishes confirmed information from points still awaiting your decision.

Useful preparation includes your preferred company name, accepted name variants, official website, product names, locations and known ownership relationships. Existing profile URLs help us compare records without asking your team to grant access to every directory. If a point is sensitive, mark it confidentially; we will not treat it as publishable information without your written sign-off.

The working document notes whether each fact is aligned, conflicting, missing or awaiting confirmation. That makes it easier to resolve a parent-company relationship or former name without forcing every public description into identical wording. Where a technical implementation question arises, technical AEO can be considered alongside the identity review.

Get the price for Entity Building

Send a link to your project and a contact. We reply with a plan, timing and price.

Which records deserve a place in the plan?

A record belongs in the plan when it represents the exact company, can be supported by reliable information and has a clear reason to be maintained. We assess those conditions before recommending a directory update, a Wikidata action or a sameAs reference.

Confirm the identity

We compare the proposed destination with your official name, website and visible company facts. A similar name is not enough. If the organization, product or location is ambiguous, we flag the relationship for your confirmation rather than drawing it ourselves.

Check suitability and evidence

Wikidata is considered only where the available sources support the subject and proposed information. For local businesses, that may mean first concentrating on owned pages and relevant directories. The Wikidata and knowledge graph presence service is a useful next step when the question is specifically about a public knowledge record.

Keep references accurate

A sameAs reference should point to a page representing the same organization, not simply a related business. We check control, identity and visible facts before recommending one. For a broader view of your discoverability, AI search visibility provides context beyond entity records.

A documented handoff makes each decision visible

The handoff is a working record of what was checked, what needs approval and who is responsible for each next action. It is prepared so your team can make decisions without translating an unexplained list of observations.

The agreed work can include:

  • Source inventory covering your website and relevant public profiles.
  • Fact comparison for company names, descriptions, locations and relationships.
  • Directory, Crunchbase or Wikidata suitability notes, including evidence needs.
  • sameAs recommendations where a destination represents the same entity.
  • Prioritized actions with ownership, approval and maintenance notes.

A senior strategist checks the source inventory against the information you provide. Before anything public-facing is changed, we show the proposed edits and wait for your sign-off. The handoff separates work Premium Promotions can complete from items that need your access or an independent platform decision. If you would like a view of how visibility is observed after the corrections, AI visibility monitoring can be discussed separately.

External records keep their own editorial authority

“We can verify the work completed; we cannot decide what an independent record accepts.”

Wikidata editors and directory operators set their own sourcing, inclusion and review decisions. They may decline or alter a submission, and search products decide independently which sources or results to display. We assess eligibility, prepare evidence-based recommendations and record the outcome of agreed work, without presenting an external decision as settled.

The working sequence has 5 stages, from confirming company facts to documenting completed updates or submissions. Your named contact keeps the sequence orderly, while you retain approval over public-facing changes. A live edit or submission record confirms the action taken; it does not stand in for an editor’s decision.

For a wider diagnosis before implementation, a GEO audit can help place entity questions alongside other visibility issues. Where the identity is already consistent, the next useful work may instead concern the pages answering buyer questions, such as content for AI answers.

Begin with the company facts you want represented

Entity work is most useful when there is a clear identity question to resolve: perhaps a company name varies, product relationships are unclear, or existing profiles disagree. If the core facts are already aligned, another part of AI search may deserve attention first.

After an initial conversation, we agree which entities and sources belong in the review, who can confirm company facts and who approves public changes. Your named contact then coordinates the source inventory and returns a prioritized recommendation for your consideration. You remain free to implement technical changes internally or ask Premium Promotions to handle the agreed updates.

Nothing leaves the desk as a public-facing change without your written approval. Your preferred legal company name is a quiet place to begin; your named contact will use it to outline the first source check.

How it works

  1. 01 — Confirm the entityShare the official name, website, products, locations and known company relationships. We flag facts that need confirmation before comparing public records.
  2. 02 — Inventory the sourcesWe review the agreed website pages and existing directory or knowledge-base profiles, noting ownership, conflicts and missing evidence.
  3. 03 — Prioritize the findingsA senior strategist checks the findings and prepares a source plan that distinguishes necessary corrections from optional work.
  4. 04 — Approve proposed changesYou confirm factual edits and choose which recommendations Premium Promotions will implement and which your team will handle.
  5. 05 — Verify and hand offWe check agreed updates or submissions and record completed actions, outstanding reviews and maintenance responsibilities.

Frequently asked questions

How is the fee for entity building for AI SEO set?

The recommendation is scoped around the companies, products and profiles to review, and whether implementation is included. Your named contact can first clarify the source list and the decisions you want the work to support.

What timing should we allow for an entity review?

Timing follows the number of sources, how quickly your team confirms company facts and whether outside platforms review proposed changes. Once the source list and responsibilities are agreed, your contact can set a working sequence. The final verification may remain open while an independent directory considers a submission.

Can you secure a Wikidata entry or a search knowledge panel?

No. Wikidata editors apply their own sourcing and inclusion decisions, and search products decide independently what to display. We can assess suitability, prepare evidence-based recommendations and verify agreed work. Before any public submission, you see the proposed information and provide approval.

Should a local company pursue a Wikidata record?

Not automatically. First consider whether independent sources support the business and whether a record is appropriate. Many local companies are better served initially by accurate owned pages and relevant directories they can maintain. The review can document that decision instead of proposing an unsuitable listing.

Do you need access to all our directory accounts?

No. Public profile URLs are a useful starting point, alongside an indication of which accounts your team controls. We mark where access or an owner’s approval is needed before an update. Nothing public-facing is changed before you have seen and approved the proposed information.

How does entity work differ from AI-focused content work?

Entity work clarifies who the organization is and how its products and public profiles relate. AI-focused content work improves how pages answer specific questions. The findings help decide which should come first; content for AI answers is relevant when the identity is clear but the pages need attention.

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