Public-record infrastructure for accomplished people

We build the
verifiable record your work
deserves.

AI systems, journalists, and institutions describe you using what they can find. For most accomplished people and serious companies, what they find is thinner than the work deserves. We close that gap with a public record that holds up across Wikipedia, Wikidata, AI engines, and the platforms those systems index.

Get a free Visibility Assessment How we work

Track record

Across Veritage and its operations partners, fifteen years of combined experience in Wikipedia and public-record production.

The problem

Real achievement does not guarantee a verifiable public record.

A career of serious work, or a company that has built something real, can still leave only a thin digital trail: an outdated bio, a university page, a handful of press mentions scattered across languages, a Crunchbase entry from three years ago. When a journalist searches the name, when a grant committee or board member reviews the record, when ChatGPT or Perplexity answers a question about the field, the gap between what was done and what is findable and citable is often wide.

Closing that gap takes more than a website. It takes structured evidence that independent systems trust and surface: Wikipedia, Wikidata, the Google Knowledge Graph, AI answer engines, scholarly databases, professional networks.

AI systems now answer questions directly. They name people, companies, and ideas. Whether the right name appears in those answers depends on what is documented and indexed across the systems those models pull from. Most accomplished people and most serious companies are invisible there, not because the work lacks substance, but because the record was never built.

How an engagement works

How an engagement works.

The outcome is a structured, independently sourced public record that AI engines, search, journalism, and institutional review actually use. The components vary by case.

If you are not sure where to begin, start with a free Visibility Assessment. We look at your current public record, identify the gaps, and recommend the highest-impact moves. The engagement that follows, if there is one, is scoped from there.

If you already know what you need, contact us to scope directly.

Get a free Visibility Assessment

Components of the work

Veritage works across the surfaces AI systems and institutions actually index. The Assessment determines which apply. Most engagements use four to seven; few use all.

  • Knowledge platforms

    Wikipedia · Wikidata · Alt Wiki (Wikitia, EverybodyWiki, Fandom, others)

  • Community platforms

    Reddit · Quora · Substack · Medium · GitHub · Google Maps · others

  • Professional platforms

    Authority site · LinkedIn · ORCID · Google Scholar · ResearchGate · Crunchbase / PitchBook · Amazon Author · IMDb

  • Measurement and maintenance

    Semrush and Ahrefs AI-visibility baseline · AI response audit · citation monitoring · AI drift monitoring · periodic refresh · record management

How you know it worked

We baseline your AI visibility before the engagement, re-measure at delivery, and again at checkpoints after. The numbers come from Semrush AI Toolkit and Ahrefs Brand Radar, two independent tools that track how brands and names surface across ChatGPT, Perplexity, Google AI Overviews, and Gemini.

Who this is for

We work with people who have already done the work.

This is for

  • Academics and scientists with published work but thin public recognition.
  • Founders and executives whose achievements outpace their searchable record.
  • Companies whose public footprint does not match what they have built.
  • Authors, artists, and public intellectuals whose coverage exists but is scattered.
  • Institutions documenting partners, grantees, fellows, or affiliated individuals across languages.
  • Civil society leaders building credibility for cross-border work.

Not for

  • Anyone asking us to make them famous.
  • Reputation cleanup or defense against negative coverage.
  • Self-published achievers without independent validation.
  • Buyers expecting guaranteed Wikipedia approval or media placements.
Why you cannot do this yourself

Wikipedia has three walls.

Most first-time editors discover them only after their article is deleted.

  1. 01

    Notability

    Your own website, LinkedIn, press releases, and company blog count for nothing. Wikipedia requires significant coverage in reliable sources independent of you. Most accomplished people and serious companies are surprised to learn they do not clear this bar, not because the work lacks substance, but because it was never documented by independent parties in Wikipedia-eligible sources.

  2. 02

    Reliable sources

    A Forbes contributor piece does not count. A podcast interview does not count. A university profile page does not count. A press release picked up by a syndication wire does not count. The list of what editors accept is shorter and stricter than most professionals realize. Getting this wrong does not just fail. It creates a deletion record that makes future attempts harder.

  3. 03

    Neutrality

    "Award-winning," "pioneering," "leading expert," "market-defining": these trip immediate red flags. Writing neutrally about the subject requires a register that takes years to learn. Editors reviewing new articles are specifically looking for promotional language.

The deletion debate is permanently indexed by Google.

The same logic applies across platforms. Wikidata entries with wrong property mappings get flagged. AI systems that receive conflicting signals about who you are will average them into incoherence. Each platform has its own rules. We know them.

Read the full explainer
Track record

Fifteen years of combined experience.

Across Veritage and its operations partners, fifteen years of combined experience in Wikipedia and public-record production. Across that time we have built capability in:

  • Public-record builds for individuals and institutions across academic, executive, and creative fields.

  • Notability assessment as a structured methodology, refined across thousands of subjects.

  • Wikidata entities maintained for Knowledge Panel and AI-retrieval integration.

Veritage is the brand for clients whose public record needs to hold up across AI engines, journalism, and institutional review.

What a complete public record looks like

Illustrative; not a specific client. The shape of an engagement's outcome, mapped across the surfaces that matter.

Surface Partial public record Complete public record
Wikipedia None, or thin stub Article present in the languages where eligibility holds, monitored
Wikidata Stub or absent Structured entity with 30+ sourced properties
Google Knowledge Panel Missing or wrong Verified, citation-linked, fed by Wikidata
AI engine answers (ChatGPT, Perplexity, Gemini) Conflated with namesakes, factually thin Correct attribution, sourced citations
Authority site LinkedIn + university bio scattered Citation-driven home base, structured
Visibility metrics (Semrush, Ahrefs) Untracked Baselined, measured, reported

The Visibility Assessment identifies which surfaces matter for you and which are already strong enough to leave alone. Most engagements address four to six of these; few address all of them.

How we work

Three steps, one starting point.

  1. 01

    Visibility Assessment

    Free if delivered as part of our outreach. We look at your current public record, identify the gaps, and recommend the highest-impact moves. You get a written brief and a clear recommendation.

  2. 02

    Scoped engagement

    If the Assessment leads to work, we scope it as one engagement with fixed deliverables and a fixed price.

  3. 03

    Refresh (optional)

    When circumstances change (new book, new role, new affiliation, new product launch), we re-baseline and update. Refresh engagements are event-triggered, not calendar-based.

What we promise

  • A clear Visibility Assessment verdict.
  • Deliverables we fully control: Wikidata, authority site, platform profiles.
  • Independent measurement (Semrush, Ahrefs) of the change.
  • Honest probability framing on outcomes that depend on third parties.

What we do not promise

  • Wikipedia page approval.
  • Coverage in any specific outlet.
  • Fast turnaround. Quality takes time: six to twelve weeks for a Wikipedia article after eligibility is confirmed.

Payment: standard B2B channels. SWIFT, invoicing, enterprise purchase orders.

The team

Combined capacity across Veritage and its operations partners.

Veritage's capacity covers notability assessment and Wikipedia article production for English and European-language editions, Wikidata and authority-site infrastructure, AI-visibility measurement and monitoring, and senior advisory on public-record strategy for accomplished individuals and companies.

Meet the team
FAQ

Questions worth answering directly.

  • Will I get a Wikipedia page?

    Only if the Visibility Assessment confirms you are eligible. We do not sell guarantees. We sell preparation and an honest verdict.

  • Can you get me into The Economist, the New York Times, or the Financial Times?

    No. Nobody can. What we can do is structure your work so that when those outlets need a source in your field, you are the one they find and use.

  • How long does this take?

    Visibility Assessment: two weeks. Wikidata and authority site: four to six weeks. Wikipedia article: six to twelve weeks after eligibility is confirmed. A full record across multiple languages: three to six months.

  • What if I am not eligible?

    We tell you. We also build a three-to-six-month roadmap to reach eligibility. Most clients work with us on that roadmap before submitting anything.

  • Is this SEO?

    No. SEO is downstream. What we build (Wikipedia, Wikidata, authority sites) is what SEO pulls from.

  • What about AI visibility?

    It is the core of what we do. ChatGPT, Perplexity, Gemini, and Grok answer questions by pulling from a known set of sources. Wikipedia, Wikidata, Reddit, Quora, and authoritative websites are the inputs. Veritage prepares them and measures the change.

  • Can you tell me what AI systems currently say about me?

    Yes. The AI Response Audit queries the major systems with your name, documents what comes back, identifies the gaps, and recommends specific moves. It is the fastest way to understand where your record stands today.

  • Why are you on Reddit? Isn't that reputation management?

    No. Reddit threads are among the higher-weight sources AI answer engines cite. We map the communities relevant to your field and coach you on legitimate contribution: answering questions in your area of expertise under your own account, over time. We do not buy upvotes, post under fake accounts, or coordinate promotion.

  • Do you work with GitHub and LinkedIn?

    Yes. For technical clients, GitHub is a verifiable, timestamped public record of the work itself: the only platform where AI can see what you built, not just claims about it. LinkedIn profiles appear in AI responses constantly. Both are part of the platforms we work across.

  • Can you help with institutional and corporate clients?

    Yes. Engagements are scoped per case. Contact us for a scoped proposal.

Ready to start?

Two weeks. One written brief. A clear recommendation.

Begin with a Visibility Assessment. We look at your current public record, identify the gaps, and recommend the highest-impact moves. No fee when delivered as part of our outreach.

Get a free Visibility Assessment How an engagement works