Entity building for AI SEO

What does entity building for AI SEO include?

Entity building for AI SEO is the work of making your organization identifiable and accurately described across the sources people and search systems can inspect. The service starts with facts and references, not a promise of a particular answer or placement.

This is useful when your company has changed names, launched products, entered new markets, or accumulated profiles that no longer agree. It also suits a new business that needs a clean, maintainable entity record before expanding its content program.

At kickoff, AEOTech gathers the canonical URLs, the preferred public description, organization naming rules, and a contact authorized to approve edits. Our entity conflict review compares each source against that approved record and marks each difference as a correction, an unverified claim, or a decision for your team. The result gives whoever maintains your site and profiles a clear basis for updates. For a wider picture of AI search work, see AI search visibility and our GEO audit.

How do directories, Wikidata and Crunchbase fit together?

Treat every public profile as a reference to the same organization, not as a separate version of its identity. The practical task is to document what each source says and decide which details are authoritative.

• Start with the official website and its canonical organization details.
• List company directories and profiles, including Wikidata and Crunchbase where relevant.
• Record the public URL, displayed name, description, and facts that differ.
• Mark each reference as confirmed, needs review, or not controlled by your team.

A source map prevents a common implementation mistake: copying one description everywhere without checking whether that source is current or appropriate. Some profiles have their own editorial expectations, account access rules, or update processes. We note those as handoffs rather than treating them as edits already completed.

For the website, we can recommend a sameAs set that points to official profiles that genuinely represent the same entity. The set should be precise; unrelated products, people, or similarly named organizations do not belong in it. Schema markup is one implementation layer, not a substitute for accurate visible information. If your main gap is markup or crawler access, pair this work with technical AEO. For profile accuracy work beyond entity mapping, review listing profile remediation.

When should you update Wikidata or Crunchbase?

Update Wikidata or Crunchbase when the record is relevant, the facts are supportable, and your team can follow the source’s own contribution and account processes. Neither profile should be treated as a shortcut to AI visibility.

Our review distinguishes a profile that can be updated directly from one that requires an eligibility or editorial assessment. We do not invent claims to make an organization appear more prominent, and we flag statements that lack a reliable public source. Your team approves factual changes before submission; any source-specific review remains with that source.

Prepare a short evidence folder before work begins: official company pages, product pages, founding or leadership facts you publish, and links to existing profiles. We then map each proposed fact to a source and label gaps for approval. This keeps changes traceable and helps avoid contradictory edits across channels. If you are assessing how conversational systems describe the business, connect entity cleanup with ChatGPT visibility or Perplexity optimization.

What will you receive from an entity building project?

You receive a usable record of your organization’s identity, a source-by-source discrepancy review, and a prioritized set of actions. The project is scoped around the sources and updates agreed at kickoff.

1. Canonical entity sheet: approved name, official URLs, preferred description, and supported facts.
2. Source map: directory, Wikidata, Crunchbase and other agreed profile URLs, with control and status notes.
3. sameAs recommendations: exact profile links proposed for the website, with mismatches excluded.
4. Fix list: each correction, evidence needed, responsible owner, and verification method.
5. Handoff notes: instructions for the person implementing site or profile changes.

The deliverable is designed for implementation, not just diagnosis. Each item says what to change, where it belongs, and what evidence supports it. If implementation is included in the agreed scope, we coordinate approved updates and record what was submitted or changed. If your internal team owns those updates, the handoff gives them the same source map and validation checklist.

For measurement after the cleanup, AI visibility monitoring can track how your selected prompts and markets are represented over time. That work is separate from the entity record: monitoring observes outputs, while entity building addresses the underlying identity consistency and reference map.

How does the project move from audit to verified updates?

The project moves from approved facts to a checked implementation record. You know which details need your decision before updates are prepared.

The timeline is agreed after we see the number and type of sources, the state of the existing records, and whether your team can approve facts promptly. We keep the work moving by assigning an owner to each open decision rather than letting an unclear description spread into more profiles. A named reviewer at AEOTech checks the source map and the final handoff before the project closes.

One limit matters: Wikidata contributions and third-party profile edits can be reviewed, changed, or declined by their respective communities or operators, and AI systems choose their own sources and representations. We can commit to the agreed review, recommendations, and documented submissions, not to acceptance or a particular citation.

To scope the work, send us your official website, known public profile URLs, and the person who can approve company facts. AEOTech will return a source inventory and project scope; entity building starts from $870 / project.

Prices

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

1. Share canonical sourcesSend your official website, existing directory profiles, Wikidata and Crunchbase URLs if available, and a contact authorized to approve facts.
2. Confirm the entity recordWe assemble the preferred names, descriptions, URLs and supported facts, then ask you to resolve unclear or disputed details.
3. Review conflicts and suitabilityThe entity conflict review marks inconsistent profiles, evidence gaps, and sources that need their own eligibility or editorial assessment.
4. Approve prioritized actionsYou approve the proposed corrections and decide which site and profile updates are in scope.
5. Verify and hand offWe document completed or submitted changes and provide verification notes for your team.