Free Entity Audit Tool
Compare your canonical entity facts against webpages, schema, business profiles and directories to expose missing details and probable conflicts.
Entity consistency report
The checker compares pasted sources against the canonical facts you provide. A match does not independently verify that a fact is true, and a missing fact is not always an SEO problem. Confirm important changes with the entity owner before updating public profiles.
The Entity Consistency Checker compares your canonical brand or organization facts against webpages, structured data, business profiles, directories and social sources to uncover missing information, conflicting details and identity signals that deserve manual review.
Entity consistency means that important identifying facts about a business, organization, person, brand or other entity are represented coherently across relevant public sources. These facts can include the entity name, website, phone number, address, description, aliases, founders, services, social profiles and structured data. Consistency helps reduce ambiguity, but matching information does not independently prove that the information is correct and does not guarantee rankings or AI citations.
Search engines and AI systems encounter information about organizations from many different places.
Your website may say one thing, your structured data another, an old directory may contain a previous phone number, and a social profile may still use an outdated brand description.
None of those discrepancies automatically creates an SEO penalty.
But when important identity facts conflict, it becomes harder for marketers, users and automated systems to determine which version should be treated as current.
Modern search is not only about matching words. Systems also need to understand which real-world organization, person, product or brand a page is describing.
Consistent naming, URLs and supporting details make it easier to distinguish one organization or brand from another with a similar name.
Clear organization details and structured data can help search engines understand administrative information and connect an official website with the entity it represents.
When investigating AI visibility, consistent public facts reduce avoidable ambiguity when different sources describe the same brand or organization.
Businesses with physical locations frequently need to manage names, addresses, phone numbers, websites and business details across several platforms.
Conflicting phone numbers, addresses or company descriptions create uncertainty for real customers, not only search systems.
A consistency audit gives teams a repeatable way to identify stale profiles, legacy business details and schema that no longer matches the website.
You cannot meaningfully audit consistency until you define the facts each source is supposed to represent.
Use information confirmed by the organization or entity owner and supported by authoritative records where appropriate. Your official website can serve as an important publishing source, but you should not copy an incorrect website value into every profile simply to achieve consistency. Correct the master fact first, then align dependent sources.
The strongest audit uses a verified canonical profile and compares genuinely important sources instead of adding every page that happens to mention the brand.
Choose the type that most closely represents the subject you are auditing, such as an organization, brand, business or person.
Add only information that you consider authoritative and current.
Leave irrelevant fields blank instead of inventing values.
Paste content from your homepage, About page, JSON-LD, business profile, directory listing or official social profile.
Use labels such as Website, Organization Schema, Google Business Profile or LinkedIn so conflicts are easy to trace.
Look for matches, missing fields and probable conflicts rather than focusing only on the overall score.
Confirm every important discrepancy manually, then update the authoritative source before propagating corrections across other profiles.
| Finding | What it means | Recommended response |
|---|---|---|
| Match | The source appears to agree with the canonical value after normalization. | Usually no action unless the canonical baseline itself is incorrect. |
| Missing | The source does not contain the canonical fact. | Decide whether the source actually needs that information before adding anything. |
| Probable Conflict | The source appears to provide a different value for the same fact. | Verify both values and correct the outdated or inaccurate source. |
| Variant | The source uses an alternate format or recognized alias that may still represent the same entity. | Confirm whether the variation is intentional and unambiguous. |
NAP consistency refers to keeping a local business's name, address and phone information accurate and reasonably consistent across important public sources. The goal is not character-for-character duplication everywhere; formatting differences can be harmless. The more important issue is whether sources clearly refer to the same business and provide current, non-conflicting contact information.
Use the real-world business name consistently and treat legitimate abbreviations or alternate names separately from outdated branding.
Different formatting can still describe the same location. Focus on substantive conflicts such as an old office, wrong city or incorrect suite.
Country-code and punctuation differences are usually formatting issues; a completely different or retired phone number deserves verification.
Organization structured data can communicate administrative and identity information in a machine-readable form. It works best when it reflects real, visible and current organization facts.
Identify the organization using its recognized name and legitimate alternate names where appropriate.
Associates the organization with its official website URL.
Identifies a representative logo for the organization when relevant.
Can describe real-world contact information when those details apply to the organization.
Can point to external pages that unambiguously identify the same organization, such as official profiles or other authoritative identity references.
Provides a concise description of the organization and should not contradict the core positioning communicated elsewhere.
Where relevant, structured identifiers can provide additional disambiguation for organizations with formal registry information.
Use the most appropriate Schema.org type available rather than treating every real-world organization as an identical generic entity.
Structured data should accurately describe the entity and page it represents. If your JSON-LD says one business name, phone number or organization identity while the visible website communicates another, investigate the discrepancy instead of assuming schema will override the visible information.
Schema.org defines sameAs as a URL to another page that unambiguously indicates the identity of the same entity. For an organization, examples can include official social profiles, review profiles, Wikidata, Wikipedia or other pages that clearly represent that organization. It should be used for identity relationships, not as a generic list of every website that mentions your brand.
Organizations can have a legal name, trading name, abbreviated name, product brand and historical name. The important task is distinguishing intentional aliases from stale or contradictory identities.
| Name situation | Likely interpretation | Recommended treatment |
|---|---|---|
| Official brand name | Primary public identity. | Use consistently across high-value official surfaces. |
| Legitimate abbreviation | Alternate name that clearly refers to the same entity. | Document as an alias where useful. |
| Legal name | Registered name that may differ from public branding. | Keep accurate where legal or structured fields require it. |
| Previous brand name | Historical identity from before a rebrand. | Update stale profiles while preserving historical context where appropriate. |
| Misspelling or incorrect variant | Data-quality problem rather than legitimate alias. | Correct the source where practical. |
Consistent entity information can reduce avoidable ambiguity about who a company is, which website is official and how different profiles relate. That can make your public information easier to interpret and audit. However, there is no guarantee that fixing entity consistency will cause ChatGPT, Google, Perplexity, Claude or another AI system to mention or cite your brand. Citation selection also depends on relevance, source quality, authority, content, retrieval systems and platform-specific behavior.
Clear organization names, aliases, official URLs and descriptions help distinguish the entity from similarly named organizations.
Consistent service, product and topic descriptions can make public brand positioning easier to understand.
Official profiles and relevant sameAs relationships can clarify which external pages genuinely represent the organization.
Treat entity work as identity clarification and data-quality improvement. Then combine it with strong content, technical accessibility, trustworthy third-party references and evidence that directly satisfies the queries where you want visibility.
Important profiles still use a pre-rebrand identity while the website and current marketing use a new name.
Profiles point to an old domain, alternate hostname or outdated landing page instead of the current official website.
Old offices remain listed after a relocation or location consolidation.
Customers encounter several numbers without a clear distinction between current, departmental and retired contact lines.
JSON-LD contains older or different facts from those presented to users on the website.
The business is described as serving different markets, specialties or locations across important profiles.
Old leadership information remains embedded in profiles or structured data after organizational changes.
Multiple profiles appear to represent the same entity but contain different information or unclear ownership.
Old directories still describe products or services the organization no longer offers.
Prioritize sources according to authority, customer visibility, accuracy risk and how directly they represent the entity.
| Source | Typical priority | Why |
|---|---|---|
| Official website | Very High | Your primary controlled source should accurately describe the entity. |
| Organization / LocalBusiness schema | Very High | Machine-readable facts should align with the entity and visible website information. |
| Major business profile | Very High | High customer visibility and potential impact on local/business discovery. |
| Official social profile | High | Represents a controlled external identity surface. |
| Important industry directory | High / Medium | Priority depends on authority, user visibility and relevance. |
| Low-value scraped listing | Lower | Fix only when the conflict materially affects users or broader identity cleanup. |
Compare business information across the website, structured data, business profiles and important directories.
Find legacy names, descriptions, URLs and profiles after a company changes its public identity.
Check whether official profiles and schema still point to an old domain after changing websites.
Review whether important public sources consistently identify the organization before investigating broader AI visibility gaps.
Compare Organization or LocalBusiness JSON-LD with verified company facts and visible website content.
Identify conflicting brand names, domains, leadership details and descriptions after organizational changes.
Audit organization facts alongside technical SEO, structured data and brand-search visibility.
Compare local business contact and identity data across important customer-facing sources.
Check whether public sources communicate a coherent entity identity before diagnosing citation and mention gaps.
Turn entity cleanup into a structured client deliverable rather than a vague recommendation to “fix citations.”
Identify outdated descriptions, aliases, URLs and public profile details during rebrands and positioning changes.
Create one master profile and compare important public sources without manually checking every field in separate documents.
Never propagate an incorrect phone number, address or description just because it currently appears on your website.
Keep an internal record of approved names, URLs, descriptions, contact details, social profiles and structured-data values.
Focus first on your website, schema, important business profiles, authoritative directories and controlled social profiles.
Do not treat harmless formatting differences or documented aliases as severe identity conflicts.
Rebrands, relocations, phone changes and leadership updates should trigger a review of structured data as well as visible content.
Link to pages that genuinely help identify the same entity rather than stuffing every external mention into structured data.
Entity descriptions should clearly explain what the organization does without turning structured identity information into exaggerated promotional copy.
Recheck entity consistency after rebrands, office moves, mergers, domain migrations and significant service changes.
Accuracy comes first. Use the checker to find disagreements, then verify the correct facts and update the sources that matter.
Direct answers to common questions about entity SEO, NAP consistency, Organization schema, sameAs, Google Business Profile data and AI search.
An entity is a distinct thing that can be identified, such as a person, organization, brand, location, product or concept. Entity-focused SEO considers how clearly pages and external sources identify the thing being discussed and its relationships with other entities.
Entity consistency means that important public sources describe the same entity using compatible and current identifying facts, such as its name, official URL, contact details, aliases, services and profiles.
There is no basis for treating a generic entity-consistency score as a direct Google ranking factor. The practical value is improving data accuracy, identity clarity, structured information and user trust while reducing conflicting public facts.
NAP stands for Name, Address and Phone. NAP consistency means keeping those core local-business facts accurate and reasonably consistent across important websites, business profiles and directories.
Not necessarily. Formatting variations can represent the same underlying information. For example, “Street” versus “St.” or different phone-number punctuation may not represent a real conflict. Focus on whether the underlying business identity and contact details are accurate.
Organization structured data uses Schema.org vocabulary to describe information about an organization in a machine-readable format. Relevant properties can include name, URL, logo, address, telephone, description, alternateName and sameAs.
Google states that Organization structured data can help it understand an organization's administrative details and disambiguate the organization in Search. It should accurately describe the real organization represented by the site.
Schema.org defines sameAs as a URL to another page that unambiguously indicates the identity of the same entity. It can be used for relevant official profiles and authoritative identity references.
Add profiles that genuinely represent the entity and are useful for identity clarification. Do not treat sameAs as a generic link-building field.
Only when a page genuinely serves as an identity reference for the same entity. A random directory listing or page that merely mentions the brand is not automatically an appropriate sameAs relationship.
That can be legitimate. Keep the public brand name and legal identity accurate in the contexts where each belongs, and use relevant structured fields or alternate names rather than forcing one name into every surface.
Yes. A company may have sales, support, location-specific or departmental numbers. The important issue is whether sources clearly communicate the purpose of each number rather than presenting conflicting primary contact information.
Not automatically. Different platforms support different fields. A missing founded date on a social profile, for example, may have no practical importance. Prioritize facts necessary for identity, user trust and the purpose of the source.
Structured data that is inaccurate or conflicts with the entity represented by the page should be corrected. The exact search impact depends on the situation, but maintaining accurate structured information is better than knowingly publishing contradictory facts.
An entity audit can help you find business details that differ between your website and important profiles. Correct, current information is useful for customers and local-search management, but the checker cannot guarantee improved Google Business Profile rankings.
It may reduce identity ambiguity and improve the quality of public brand information, but it cannot guarantee AI mentions or citations. AI platforms use their own retrieval and source-selection systems.
No. Cleaning up entity information does not guarantee Knowledge Panel eligibility or appearance. Knowledge features are controlled by Google and depend on factors beyond a consistency audit.
Start with your official website, relevant structured data, important business profiles, major controlled social profiles and authoritative directories or identity sources that matter to your customers.
Run one after major business changes such as rebranding, relocation, domain migration, mergers, leadership changes or major service changes. Periodic reviews are also useful for organizations with many external profiles.
Verify which value is actually correct using the entity owner's records or another authoritative source. Fix the master record first, then update the inaccurate public source rather than automatically choosing whichever value appears most often.
No. The checker analyzes the canonical facts and source content you paste into it. This keeps the comparison controlled and avoids pretending that an automated web scan has verified ownership or factual accuracy.
After identifying inconsistencies, use related AnswerEnginee tools to improve structured data and evaluate whether your content clearly connects important entities and claims.
Use the Entity Consistency Checker to create a verified master profile, compare important public sources, uncover conflicting brand facts and build a prioritized entity-cleanup plan based on accuracy rather than superficial uniformity.