Entity and knowledge graph audits
An entity audit checks how search engines and AI assistants identify your business, its people and its products, and why they get it wrong. It covers name variants, sameAs links, Wikidata eligibility, the consistency of your schema.org graph and how AI assistants describe you, and ends with a prioritised list of fixes.
What is an entity, and why audit it?
Search engines and AI assistants try to work out which real-world thing a page is about: a specific business, person, place or product. That thing is an entity (what is an entity?). When the signals about your business disagree, systems can treat it as several weaker entities, attach facts from someone else with a similar name, or leave it out of answers.
An entity audit looks at every place your business is defined, finds the contradictions and gaps, and tells you exactly what to change.
What an entity audit fixes
| Problem | What it looks like | What the audit checks |
|---|---|---|
| Name variants | Your business appears as "Example Dental", "Example Dental Care" and "Example Dental LLC" | Every name used on your site, profiles, listings and in AI answers, and one canonical name plus legitimate alternates. See how name variants split a business. |
| Missing or wrong sameAs | Your markup doesn't link to your profiles, or links to pages that aren't yours | The profiles that should be listed and the ones that shouldn't (sameAs explained). |
| Wikidata eligibility | No item, a thin one, or one about a different organization | Whether you meet Wikidata's notability policy, what references exist, and whether an item would be likely to survive (Wikidata for businesses). |
| Inconsistent schema graph | Different Organization nodes on different templates, no shared @id, dangling references, review stars that aren't eligible | Your JSON-LD across key templates: @id strategy, Organization or LocalBusiness, Person, WebSite and how they connect. Type-by-type rules are on Schema Institute. |
| AI assistant recognition | Assistants confuse you with another business, describe you with outdated facts, or don't recognise you at all | How major AI assistants and search engines describe the business, its founders and offerings, and where those descriptions come from. |
Who it's for
Businesses and organizations whose name is shared or easily confused, that have rebranded, merged or opened new locations, that run several websites, or that simply find AI assistants describing them wrongly. It also suits agencies that need an independent entity review before a schema or content project.
How it works
- Call. A 30-minute call to understand the business, its names, sites and what is going wrong.
- Audit. Neural Command reviews the sources and tests described on the process page.
- Report. You receive the findings and fixes listed under deliverables.
- Fix. Your team makes the changes, or you can ask Neural Command about help implementing them.
Pricing depends on the size of the business and is agreed after the first call; no prices are published here.
Who runs it
Entity audits are a service of Neural Command, LLC, which operates NRLC.ai and calls this area of work Ontological SEO: getting the entities, relationships and identifiers right so search and AI systems resolve to the correct business. Neural Command, LLC is at 1639 11th St, Suite 110-A, Santa Monica, CA 90404.