# Building a verifiable author identity online

*2026-06-07 · Authority, Trust & Provenance*

> AI engines increasingly discount anonymous content. Here's how to make your authorship machine-readable, credible, and verifiable.

## Why anonymity now costs you

For years, content could rank on keywords and links alone. That era is closing. AI
engines assembling an answer face a question humans have always faced: *can I trust this
source?* Their answer increasingly depends on whether they can establish a real,
qualified human behind the words. Content that can't be attributed is content that can't
be corroborated — and corroboration is the currency of trust.

## The three layers of verifiable identity

### 1. Machine-readable schema

Add `Person` schema as JSON-LD to your author and about pages. The fields that matter:

- `name`, `jobTitle`, and `worksFor`
- `knowsAbout` — the topics you have genuine expertise in
- `sameAs` — an array of URLs to authoritative profiles (LinkedIn, professional bodies, a personal site)

The `sameAs` links are the load-bearing part: they let an engine cross-reference your
identity against sources it already trusts.

### 2. Consistent attribution

Every article should name its author and link to a single canonical author page. Mixed
or missing bylines fragment your identity and weaken the signal. One person, one
canonical profile, linked everywhere.

### 3. A real footprint

Schema points at reality; reality has to be there. A LinkedIn profile with a genuine
history, membership of a relevant professional body, talks, citations, a company that
exists — these are what the `sameAs` links resolve to. You can't fake your way to a
verifiable identity; you can only make a real one legible.

## A worked example

This site practises exactly this. The [about page](/about) carries full `Person` schema
for the author, with credentials and a `sameAs` link to LinkedIn, and every guide is
attributed to the same canonical profile. View the page source and you can read the
machine-readable identity yourself — which is the whole point.

## What to do this week

1. Write one canonical author page per real author.
2. Add `Person` schema with `sameAs` links to at least two authoritative profiles.
3. Ensure every article bylines to that canonical page.
4. Fill gaps in the real-world footprint those links point to.