Veritage

Est. public record

Public-record infrastructure for people and organizations

We build the verifiablerecord your work deserves

Journalists, grant committees, and AI engines describe you using what they can find. For most accomplished people and companies, that record is thinner than the work deserves.

The public-record stack

Five surfaces that independent systems read when they describe you. We build each one and source it back to evidence, so the answers agree.

  1. Authority site

    The page others cite when they need a source for you.

  2. LinkedIn

    The profile most people check first, kept current and consistent.

  3. Crunchbase

    Where funding, founders and company facts get looked up.

  4. Structured data

    Machine-readable facts that search and AI engines index.

  5. Community platforms

    Answers posted where your field actually reads them.

I. The problem

Real achievement does not guaranteea 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A career of serious work, or a company that has built something real, can still leave only a thin digital trail: an outdated bio, a university page, a handful of scattered press mentions, a Crunchbase entry from three years ago. The gap shows up at the moments that matter:

  1. A journalist searches your name.
  2. A grant committee or board member reviews your record.
  3. ChatGPT or Claude answers a question about your field.
  4. A potential collaborator asks who you are.

What changed?

AI engines now answer questions directly,naming people, companies, and ideas.

Most accomplished people and companies are invisible there: not because the work lacks substance, but because the record was never built. Closing that gap takes structured evidence that independent systems trust and index, across encyclopedic references, structured data, the Google Knowledge Graph, professional platforms, and the communities where your field talks.

II. Who this is for

We work with people who havealready done the work

  1. Founders, executives, and business leaders whose achievements outpace their searchable record.
  2. Authors, artists, and public intellectuals whose coverage exists but is scattered.
  3. Companies whose public footprint does not match what they have built.
  4. Public figures and civil society leaders whose record is thinner than their standing.
  5. Academics and researchers with published work but thin public recognition.
  6. Institutions documenting partners, grantees, fellows, or affiliated individuals.
III. Why this is not a DIY project

Knowing the rulesis the whole job

Every surface that AI engines and journalists read has its own reviewers, its own standards of evidence, and its own reasons to reject what you submit.

A rejected submission is not a neutral outcome. It leaves a public trace of its own, and it makes the next attempt harder. Structured data with wrong property mappings gets flagged. Systems receiving conflicting signals about who you are will average them into incoherence. Each surface has its own rules. We know them.

The Visibility Assessment settles this before anything gets written.

You get an honest read on where your record stands today and what is worth doing next.

  1. What counts as evidence

    Your own website, LinkedIn, press releases, and company blog carry almost no weight. Neither do contributor columns, podcast appearances, or syndicated releases. The platforms that matter want coverage produced independently of you, and the list of what their reviewers accept is shorter and stricter than most professionals expect.

  2. How it has to read

    "Award-winning," "pioneering," "leading expert," "market-defining": this language trips immediate flags. Writing about a subject in the register reviewers accept takes years to learn, and reviewers are specifically looking for the language you would naturally reach for.

IV. The process

How we worktogether

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

  1. 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. Scoped engagement

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

  3. Ongoing

    Records age and circumstances change: a new book, a new role, a new affiliation, a new launch. We re-baseline and update as they do. Most clients stay with us well past the first engagement.

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

We take on a small number of clients and stay with their record over time. A public record is not a delivery. It ages, and it needs someone watching it.

If you are not sure where to begin, start with a free Visibility Assessment. If you already know what you need, contact us to scope directly.

What a complete public record looks like

Surface Partial public record Complete public record
Authority site LinkedIn and a university bio, scattered Citation-driven home base, structured
Professional platforms LinkedIn, Crunchbase, ORCID Incomplete and inconsistent across profiles Complete, consistent, cross-referenced
Structured data Stub or absent Entity with 30+ sourced properties
Google Knowledge Panel Missing or wrong Verified and citation-linked
Community platforms Reddit, Quora Absent from the discussions in your field Present under your own name, over time
Wikipedia None, or thin stub Article present where eligibility holds, monitored
AI engine answers ChatGPT, Claude, Gemini Conflated with namesakes, factually thin Correct attribution, sourced citations
AI visibility metrics Semrush, Ahrefs Untracked Baselined, measured, reported

Illustrative; not a specific client. The shape of an engagement's outcome, mapped across the surfaces that matter. Most engagements address four to seven of these; few address all.

V. Track record

Fifteen yearsof production experience

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

Fifteen years of experience in public-record production, across individuals, companies, and institutions. In that time we have built capability in:

  • Public-record builds across academic, executive, creative, and public-service fields.

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

  • Structured data and authority-site infrastructure maintained for knowledge-panel and AI retrieval.

  • AI-visibility measurement and monitoring, and senior advisory on public-record strategy.

VI. FAQ

Questions worthanswering 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?

    Structured data and authority site: four to six weeks. A Wikipedia article: six to twelve weeks after eligibility is confirmed. A full record across multiple languages: three to six months. Quality takes time, and we would rather say so now.

  • What if I am not eligible?

    We tell you, plainly and early. We also tell you what would need to change, and most clients work with us on that before anything gets submitted.

  • Is this SEO?

    No. SEO is downstream. What we build (authority sites, structured data, platform records) is what SEO pulls from.

  • What about AI visibility?

    It is the core of what we do. ChatGPT, Claude, Gemini, and Grok answer questions by pulling from a known set of sources. Encyclopedic references, structured data, 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.

VII. Ready to start?

One 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.