Entity checklist: 7 steps so AI knows exactly who your business is

What entity building changes

Quick test: Search your company name in quotes. Do the first 5 results use the same name, address and description?

Entity building makes it easier to distinguish your organization from similarly named businesses and to understand how its public facts fit together. It does not mean adding a new label to every page; it means aligning the descriptions and relationships already published across sources.

A useful entity record answers practical questions: What is the official organization name? Which website belongs to it? What products or services does it offer? Which people, locations, parent organizations or brands are connected to it? Where can each fact be checked?

This work suits a business with inconsistent profiles, a new name or product, or a presence that is difficult to verify from public sources. SaaS and B2B companies often need to clarify product and company relationships; local businesses may need to resolve differences in business name, location and official website. For broader work across answer engines, pair this service with AI search visibility or a focused GEO audit.

Start by listing the names customers actually encounter, including legal and trading names. Then identify which details are stable, which have changed, and which claims need stronger public evidence. That distinction keeps the project focused on identity rather than polishing descriptions that cannot be substantiated.

How do you find the gaps in your public identity?

We begin by comparing your first-party facts with the profiles and references a person can inspect. The result is a source map: what each source says, whether it agrees with your preferred facts, and what evidence is available to support a correction.

Before kickoff, prepare a short fact sheet with:

• Your official organization and product names, plus prior names still in circulation.
• The canonical website and the pages that describe your company, products and leadership.
• Public profiles in directories or databases, including any records you manage.
• Source documents or public pages supporting important facts and relationships.
• Known duplicates, outdated addresses, or profiles that appear to describe a different entity.

We distinguish a simple mismatch from a real identity question. For example, a product brand may have its own site while remaining part of a parent company; the relationship should be stated consistently rather than making the two names appear interchangeable. We also flag claims that lack a suitable source instead of treating repetition as proof.

The review gives you a ranked set of fixes: corrections you can make directly, records that need a source or eligibility check, and items that should remain unchanged. If entity questions are part of a broader discovery problem, the AI visibility monitoring service can help assess how brand descriptions appear in sampled answers over time.

Make your website, directories and Crunchbase agree

Your core identity should be recognizable across sources, while each profile can still suit its own format. The goal is factual consistency, not identical wording copied everywhere.

We create a reference set for the facts that matter most: official name, website, short company description, category, location where relevant, product names and organizational relationships. Then we compare this set with available directory and Crunchbase records and the pages on your own site. Where the client controls a profile, we prepare or make the agreed correction; where another party controls it, we document the appropriate next action.

For each mismatch, the working record notes the source, the current wording, the approved fact, the evidence and the action owner. This makes review concrete: your team can approve a correction without guessing why it matters, and later editors can see which version was verified. Avoid making a profile claim that your own site contradicts; update the source of truth first, then bring other records into line.

The same discipline applies to website copy. Use a clear About page and product pages that name the organization behind each product. For technical connections between official profiles and your site, see technical AEO; for a narrower focus on Wikidata and knowledge graph presence, we assess whether a record is appropriate before recommending any edit.

Your 7-point entity checklist

Use this checklist to find identity gaps in one afternoon. Aim to check at least 5 profiles.

• Write down the official company name, one spelling only.
• Write a one-sentence description and use it everywhere.
• List every profile you own: site, directories, social, Crunchbase.
• Compare name, address and description on each of the 5 or more profiles.
• Link your site to the profiles that are really yours.
• Note which facts you can prove with a public document.
• Fix the mismatches in order of how visible the profile is.

Terms in one line

Entity: a name a machine can recognise as one specific thing.

sameAs (in plain words: markup that says two profiles describe the same organization).

When Wikidata and sameAs belong in the plan

Common mistake: Changing your name on the site but not in directories. Update every record or the mismatch stays.

Wikidata and sameAs can help clarify identity when they connect a well-supported entity to reliable, corresponding references. They are not shortcuts for creating recognition: a record or link is useful only when it describes the same real-world organization and can be supported.

For Wikidata, we first check whether the organization and the proposed facts meet the platform’s expectations for inclusion and sourcing. If the case is not adequately supported, the responsible action may be to improve independent coverage or correct first-party information before proposing an edit. We do not create entries simply to secure a profile, and we keep a record of sources and changes for your review.

On your website, sameAs is a structured-data property used to point to pages that identify the same entity. We map only official or clearly matching profiles, such as a company’s established directory record. A sameAs list should not mix a product with its parent, a similarly named organization, or a page that merely mentions your business. Review each destination manually before adding it.

Ask your web team to confirm that structured data reflects visible page content and that profile URLs are current. For answer-focused content that complements a clean entity record, explore content for AI answers.

What you get and how the work moves

You receive an actionable entity map, a prioritized correction plan and a record of agreed work—not a vague promise to improve visibility. The plan is set around the number and type of records to review, the quality of available evidence, and whether we can edit the relevant properties or profiles.

The work typically follows four stages. First, we collect approved facts, existing profiles and access details. Next, we review sources and identify conflicts or unsupported claims. You then approve the proposed changes and confirm who can authorize profile edits. Finally, we implement the agreed fixes where access and rules allow, and share a closeout record showing what changed, what remains pending and why.

Timing is confirmed after the source list and access are reviewed. Straightforward corrections can move alongside the fact-check; records that require evidence, client approval or a third party’s review may take longer to resolve. To keep the work moving, assign one client contact who can approve names, relationships and public claims.

Our account lead checks each proposed change against your approved facts before it is submitted or published. The final record includes the source checked, the action taken and any follow-up needed, so your team can verify delivery without relying on a visibility claim.

What entity work can't control, and what to send first

Entity work can improve the consistency and evidence behind the information your organization publishes or manages. It cannot decide how a search or AI product interprets that information: Google’s knowledge features and answers in ChatGPT or Perplexity can select, update or omit sources independently. Wikidata editors may also reject or change a proposed item or edit under their own rules, so no particular panel, citation or answer placement is promised.

That boundary is why the work is verified through what you receive you can inspect: approved facts, profile corrections, the source map, technical references and a clear account of unresolved items. You can assess quality by asking whether each claim has a source, whether a profile truly represents the same entity, and whether the website supports the facts distributed elsewhere.

Entity clarity works best as part of a wider plan, not as a substitute for useful pages, technical accessibility or credible third-party references. If your priority is a particular answer engine, pair the source work with ChatGPT visibility or Perplexity optimization; if the priority is Google’s AI features, consider Google AI Overviews optimization.

Send 3 things: your official company name, the 5 profiles you own, and one proof document per key fact.

How it works

1. Share the identity factsSend approved names, website URLs, product relationships, profiles and supporting sources. Identify one person who can confirm or correct public claims.
2. Review the public recordWe compare your source of truth with the directories, Crunchbase records and knowledge sources in plan. Conflicts and evidence gaps are documented for your review.
3. Approve the correction planYou confirm the preferred facts and the proposed changes before profile edits or structured-data updates proceed. Items that need more evidence are separated from ready-to-fix items.
4. Implement and verifyWe complete the agreed work where access and platform rules permit, then share a record of changes, sources checked and outstanding actions.