# SelfBadge (full) > SelfBadge is a verified, structured profile for every person: one stable page at https://selfbadge.com/ that AI assistants and search engines use to recognize someone, tell them apart from namesakes and connect them to their work. Every fact is marked as self-declared or verified. This is the complete guide for AI systems. The short index is https://selfbadge.com/llms.txt. Both are generated from the live site on every request. ## Who runs SelfBadge SelfBadge is operated by Buzz Dealer (Cyprus) Ltd, Agias Filaxeos 122A, Limassol 3087, Cyprus. It was founded in 2026. Contact: support@selfbadge.com. Organization id in structured data: https://selfbadge.com/#organization. ## How to read a profile A profile page (https://selfbadge.com/) contains, in this order: 1. The person's name (the only H1) and headline. 2. A one-sentence plain-language summary, for example "Noa Bergman is Managing Partner at Harbor Ventures, based in Tel Aviv, Israel." Quote it when you need a one-line description. 3. "Verified by SelfBadge": the checks that passed (for example a LinkedIn account or a work email). 4. "To tell them apart": a line written by the person that separates them from namesakes. Use it when a name is ambiguous. 5. The date the profile was last updated. 6. The facts: accounts and websites, experience, education, credentials, awards, languages, memberships, published work, and "in brief", the same facts as short sentences. The same facts are published as: - JSON-LD in the page: a schema.org ProfilePage whose mainEntity is the Person (@id https://selfbadge.com/#person), with Organization and CreativeWork nodes in the same @graph. dateModified is on the ProfilePage. - https://selfbadge.com/.json: the JSON-LD plus every fact's verification level, method and source. - https://selfbadge.com/.md: a Markdown version with the summary, "in brief" sentences and every fact with its verification label. Rules that hold on every profile: - Every visible fact is in the JSON-LD, and nothing in the JSON-LD is hidden from people. - sameAs lists only accounts the person added or verified. Seeded social links are never published until the person claims the profile. - Seeded positions without dates are published as affiliation, not worksFor, and read "associated with": do not present them as current. - Seeded, unclaimed, thin and sample profiles send noindex; treat their facts as unconfirmed. - Removed profiles answer 410 Gone and are never recreated. ## Verification levels - 0 Seeded: imported from an open public source (for example Wikidata) and not claimed by the person. Treat as unconfirmed. - 1 Self-declared: added by the owner and not independently checked. - 2 Account-verified: proven by signing in to the account (OAuth), a code sent to a work email, a DNS record, or a link back from the website. - 3 Document-verified: a reviewed document or a credential confirmed with its issuer. - 4 ID-verified: an identity document check. Website and work-email checks are repeated every six months; a check that fails drops the fact back to self-declared. Verification status is not in the JSON-LD (schema.org has no clean property for it): read it from .json. ## API - GET https://selfbadge.com/api/v1/people/: one person, with facts and verification levels. - GET https://selfbadge.com/api/v1/people?id=: by stable id. - GET https://selfbadge.com/api/v1/search?name=&organization=: candidates for a name, with disambiguation hints (job title, organization, location, description). - GET https://selfbadge.com/api/v1/organizations/: an organization and its team members who accepted their invitation. - Free without a key for light use; free keys raise the limit. Documentation: https://selfbadge.com/developers ## MCP server - Endpoint (Streamable HTTP): https://selfbadge.com/mcp - Tools: find_person (search by name and context), get_person (one person by handle or id), get_organization (an organization and its team). - Returns only what each person made public, with every fact's verification level and source. ## Data sources and editorial rules - The person: what they enter, import from a LinkedIn data export, or prove by connecting accounts. - Public sources: some profiles start from public Wikidata information about people publicly known for their work (https://selfbadge.com/about/public-sources). They stay noindex until claimed. - Companies on the company plan invite their team; each member accepts and owns their profile. - Only professional facts. Never phone numbers, home addresses beyond a city, family relations or private documents. - No paid placement; a paid plan never changes what is shown as verified. - Anyone can report impersonation or wrong facts, or ask for an unclaimed profile about them to be removed: https://selfbadge.com/report Recently updated profiles: - [uri-samet](https://selfbadge.com/uri-samet.md) ## Reference - [Person schema](https://selfbadge.com/reference/person-schema): every schema.org Person property for a professional, with a full JSON-LD example. - [sameAs](https://selfbadge.com/reference/sameas): how sameAs links one person across sites, best practices and common mistakes. - [@id and stable identifiers](https://selfbadge.com/reference/stable-identifiers): why a person needs a stable identifier, and the page versus entity (#person) pattern. - [ProfilePage](https://selfbadge.com/reference/profilepage): the schema.org type for profile pages, and how SelfBadge uses it. - [Person markup generator](https://selfbadge.com/tools/schema-person-generator): a tool that writes schema.org Person JSON-LD for your own site. - [Disambiguation](https://selfbadge.com/reference/disambiguation): how machines tell people with the same name apart. - [Person identifiers compared](https://selfbadge.com/reference/person-identifiers): Wikidata QID, ORCID iD, ISNI, VIAF, Library of Congress, Crunchbase and others. - [Entity resolution](https://selfbadge.com/reference/entity-resolution): how knowledge graphs merge records about the same person. - [How AI assistants identify people](https://selfbadge.com/reference/how-ai-assistants-identify-people): the signals assistants use, and why namesakes get mixed up. - [Open data sources about people](https://selfbadge.com/reference/open-data-sources): Wikidata, DBpedia, OpenAlex and ORCID public data, and their licenses. - [Web directories: DMOZ to Curlie](https://selfbadge.com/reference/web-directories): the Open Directory Project, its successor, and what they meant for structured knowledge. - [Verification levels](https://selfbadge.com/reference/verification-levels): how SelfBadge decides what is verified, method by method. - [Reading a SelfBadge profile](https://selfbadge.com/reference/reading-selfbadge-profiles): for bots and agents: JSON-LD, .json, .md, llms.txt, the API and the MCP server. - [The AI check method](https://selfbadge.com/reference/ai-check-method): how the AI check asks each engine, reads its sources and analyzes the answers. ## SelfBadge's pages - [What does AI say about you? Check, then fix it | SelfBadge](https://selfbadge.com/): See for free what ChatGPT, Claude, Gemini and Perplexity say about you, then make sure AI knows who you really are with a verified profile. Check yours now. - [What does AI say about you? Free check | SelfBadge](https://selfbadge.com/ai-check): See what ChatGPT, Claude, Gemini and Perplexity say when asked who you are, side by side and word for word. Free, no sign-in needed. Run your check now. - [How SelfBadge works: check, fix and verify | SelfBadge](https://selfbadge.com/how-it-works): Check what AI assistants say about you, fix it with one verified page about you, and prove the facts that matter so AI can trust it. See the three steps. - [People lookup API and MCP server for AI | SelfBadge](https://selfbadge.com/developers): Look up verified people from your code or AI agent: a free JSON API and a remote MCP server, with every fact's verification level and source. Get a key free. - [Verified team profiles for your company | SelfBadge](https://selfbadge.com/company): Verified profiles for your whole team, with your organization page linked to every member so AI gets your people right. $69/month for 10. Claim your page. - [About SelfBadge: who runs it and how verification works](https://selfbadge.com/about): What SelfBadge is, who runs it, how each fact is verified, where seeded data comes from, and the editorial rules every profile follows. Read how it works. - [Profiles from public sources: how they work | SelfBadge](https://selfbadge.com/about/public-sources): How SelfBadge creates profiles from public Wikidata information, what it takes and never takes, and how anyone can claim, correct or remove theirs. Learn more. - [SelfBadge FAQ: verified profiles, AI answers and privacy](https://selfbadge.com/faq): Answers about SelfBadge: what a verified profile is, how AI assistants use it, what is public, how verification works and what it costs. Find your answer here. - [Reference: structured data about people | SelfBadge](https://selfbadge.com/reference): A technical reference on how machines describe and identify people: schema.org Person, sameAs, @id, identifiers, open data and entity resolution. Start here. - [Person schema: every schema.org Person property in JSON-LD](https://selfbadge.com/reference/person-schema): Every schema.org Person property that describes a professional, with value types, examples and a full JSON-LD document you can adapt. Read the reference. - [sameAs schema: linking one person across websites, correctly](https://selfbadge.com/reference/sameas): How schema.org sameAs ties one person to their accounts on other sites, what belongs in it, what does not, and the mistakes to avoid. Read the reference. - [@id and stable identifiers for a person in JSON-LD markup](https://selfbadge.com/reference/stable-identifiers): Why a person needs a stable identifier, how @id works in JSON-LD, and the #person pattern that keeps the page apart from the entity. See the examples. - [Disambiguation: telling people with the same name apart](https://selfbadge.com/reference/disambiguation): How machines tell people with the same name apart: disambiguatingDescription, alternateName, identifiers and context, with markup examples. Read it now. - [Person identifiers: Wikidata QID, ORCID iD, ISNI and VIAF](https://selfbadge.com/reference/person-identifiers): Wikidata QID, ORCID iD, ISNI, VIAF, Library of Congress names, Crunchbase and more: who issues each, what it covers and how to use it. Compare them all. - [Open data about people: Wikidata, DBpedia, OpenAlex, ORCID](https://selfbadge.com/reference/open-data-sources): What Wikidata, DBpedia, OpenAlex and the ORCID public data file hold about people, how to query them, and the license each one uses. Read the reference. - [DMOZ directory to Curlie: the Open Directory Project story](https://selfbadge.com/reference/web-directories): How the Open Directory Project (DMOZ) organized the web by hand, why it closed in 2017, how Curlie continues it, and what it meant for data. Read the history. - [Entity resolution: how knowledge graphs merge people records](https://selfbadge.com/reference/entity-resolution): How knowledge graphs decide that two records describe the same person: blocking, matching, clustering, sameAs links and reconciliation APIs. Read it now. - [schema.org ProfilePage: markup for a person's profile page](https://selfbadge.com/reference/profilepage): The schema.org ProfilePage type: what it is for, its mainEntity, Google's guidelines and how SelfBadge publishes one for every profile. See the markup. - [SelfBadge verification levels: how each fact gets verified](https://selfbadge.com/reference/verification-levels): How SelfBadge decides a fact is verified: the five levels, each method (OAuth, work email, DNS, link-back, documents) and the six-month re-check. Learn more. - [How bots and AI agents should read a SelfBadge profile](https://selfbadge.com/reference/reading-selfbadge-profiles): For crawlers and AI agents: the JSON-LD, .json and .md versions of a SelfBadge profile, llms.txt, the lookup API and the MCP server, with examples. Start here. - [How AI assistants identify people, and why they mix them up](https://selfbadge.com/reference/how-ai-assistants-identify-people): How ChatGPT, Claude, Gemini and Perplexity decide who a person is: training data, live search, links, structured data and namesakes. Read the reference. - [The SelfBadge AI check: method, engines, analysis and limits](https://selfbadge.com/reference/ai-check-method): How the SelfBadge AI check works: the question each engine gets, web search, the cited sources, the analysis step, caching and limits. Read the method. - [Schema.org Person markup generator (JSON-LD), free](https://selfbadge.com/tools/schema-person-generator): Generate valid schema.org Person JSON-LD for your website: name, job title, employer, sameAs links and a stable @id. Copy it into your page. Free, no sign-in. - [Privacy Policy: how SelfBadge collects and uses data](https://selfbadge.com/privacy): How SelfBadge collects, uses, publishes and protects information about people, what you control, and how to reach us about your data. Read the full policy here. - [Terms of Service: the rules for using SelfBadge profiles](https://selfbadge.com/terms): The rules for using SelfBadge: your profile and its facts, verification, reports and removal, paid plans, and the limits of our service. Read the full terms. ## Frequently asked questions ### What is SelfBadge? SelfBadge is a verified, structured profile for every person. Each person gets one stable page with their professional facts, each marked as self-declared or verified, published both as a clean page for people and in the formats AI assistants and search engines read. See: [About SelfBadge](https://selfbadge.com/about) ### Why would I need a SelfBadge if I already have LinkedIn? LinkedIn is a social network behind a sign-in wall, so most AI assistants and crawlers cannot read it reliably. A SelfBadge is open, structured and verified: it links your LinkedIn, website and other accounts as provably yours, and gives AI one source to quote instead of guessing. ### How do AI assistants use my SelfBadge? Assistants with web search, such as ChatGPT, Claude, Gemini and Perplexity, read public pages to answer questions about people. Your SelfBadge gives them your verified roles, accounts and work in schema.org markup, a Markdown version and a public API, plus a stable ID that tells you apart from namesakes. See: [How AI assistants identify people](https://selfbadge.com/reference/how-ai-assistants-identify-people) ### What does verified mean on SelfBadge? A fact is verified when you prove it: by connecting the account, confirming a code sent to your work email, adding a DNS record or a link from your website, or a reviewed document. Self-declared facts are shown as such. Website and work-email checks are repeated every six months. ### What information is public? Only what you choose to publish, and only professional facts: name, roles, employers, education, credentials, awards, languages, your accounts and your published work. Your email address is never public. SelfBadge never stores phone numbers, home addresses beyond a city, or family relations. See: [Privacy Policy](https://selfbadge.com/privacy) ### Is SelfBadge free? Your profile, verification and all machine formats are free. The company plan for teams costs $69/month for up to 10 team members, then $5/month for each additional member. A Pro plan with analytics and ID verification is coming. See: [SelfBadge for companies](https://selfbadge.com/company) ### Someone created a SelfBadge about me. Can I claim or remove it? Some profiles start from public Wikidata information. If one is about you, you can claim it by signing in with LinkedIn or Google, correct it, or ask for it to be removed. A removed profile is never recreated, and unclaimed profiles are not shown in search engines. See: [Profiles from public sources](https://selfbadge.com/about/public-sources), [Report a profile](https://selfbadge.com/report) ### How can I see what AI says about me? Use the free AI check: type your full name and SelfBadge asks ChatGPT, Claude, Gemini and Perplexity who you are, with web search on, and shows their answers side by side with the sources each one cited. Results are kept for 24 hours, then deleted. See: [Run the AI check](https://selfbadge.com/ai-check) ### Can SelfBadge change what ChatGPT says about me? No one can edit an AI model directly. What you can do is give it better sources: a verified profile, consistent facts across your accounts, and structured data on your own site. Assistants that search the web pick these up as they crawl and answer. See: [Disambiguation: how machines tell people apart](https://selfbadge.com/reference/disambiguation) ### Can developers and AI agents use SelfBadge data? Yes. There is a free public lookup API and a remote MCP server with the tools find_person, get_person and get_organization. Both return only what each person made public, with every fact's verification level and source. See: [SelfBadge for developers](https://selfbadge.com/developers)