Content and authority
What is entity consistency and why does it matter?
Search engines and AI models treat your business as an entity. Conflicting names, addresses and details across the web weaken their confidence in you.
Your business as an entity
An entity is a distinct thing that search engines and AI models can identify and describe: a person, a place, a company or a product. Entity consistency means the core facts about your business match everywhere they appear, so those systems can connect every mention to the same business with confidence.
Google keeps a store of facts about entities, the Knowledge Graph, and uses it for features such as knowledge panels. AI assistants draw on their training data and on web results fetched at answer time. How each system resolves conflicting sources is not publicly documented, but the principle holds: when the facts agree, it is easier to be sure who you are and what you do.
- Business name
- Address and service area
- Phone number
- Website URL
- Category, or what you do
- Founders and key people
- Products and services
- Opening hours
Where conflicts come from
Inconsistency builds up quietly. A business moves and the old address lives on in directories. A tracking number appears in one listing. The name is written three different ways. An old social profile describes services you stopped offering years ago. Check every place your facts appear:
- Your own website: footer, contact page, about page and structured data
- Google Business Profile, Apple Business Connect and Bing Places
- Industry directories and local citation sites
- Social profiles
- Wikipedia and Wikidata, if your business has entries there
For local businesses this is usually called NAP consistency: name, address and phone number written the same way everywhere, down to the suite number.
Declare the facts with schema
Organization or LocalBusiness structured data states your facts in a format machines read directly. The sameAs property lists the URLs of your official profiles elsewhere, which helps tie them to the same entity.
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Example Plumbing Co",
"url": "https://www.example.com/",
"telephone": "+1-217-555-0142",
"address": {
"@type": "PostalAddress",
"streetAddress": "100 Main St",
"addressLocality": "Springfield",
"addressRegion": "IL",
"postalCode": "62701",
"addressCountry": "US"
},
"sameAs": [
"https://www.facebook.com/exampleplumbing",
"https://www.linkedin.com/company/exampleplumbing"
]
}The markup must match what is visible on your pages and profiles. Schema that disagrees with your own footer adds to the confusion rather than fixing it.
How to audit and fix it
- Write down the canonical version of each fact: exact name, address format, main phone number, website URL and primary category.
- Search your brand name, and your name plus your city, and note every listing, profile and knowledge panel that appears.
- Check the major platforms first: Google Business Profile, Apple Business Connect, Bing Places, Facebook and any directory that ranks for your name.
- Check the data aggregators that supply business listings in your country, since many smaller directories copy from them.
- Fix each error at the source by editing the listing or using the platform's correction process, rather than creating a new duplicate.
- Merge or remove duplicate listings, and redirect any old domains to your current site.
- Recheck on a regular schedule, and after any move, rebrand or phone change.
Wikipedia and Wikidata have their own notability and conflict-of-interest rules. Do not write your own article; if an existing entry is wrong, follow the site's process for requesting a correction.
Put it to work
- Local SEOGoogle Business Profile audit, entity consistency, reviews, posts and a geo-grid.
- How the Nalza Score worksOne number from 0 to 100, blended from four signals: Web SEO, Local, Social and AI Answers.
- Share of AnswerHow often ChatGPT, Perplexity, Gemini and Google AI Overviews cite you, prompt by prompt.
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