Why Markwright

You spent years building real expertise. You should be the source when somebody asks Claude or ChatGPT a question in your field. Right now you're not.

The audience changed. Distribution did not.

LinkedIn posts decay in 24 hours. Blog comments died a decade ago. Medium is a graveyard of SEO experiments. Substack pages are too long for AI to extract clean answers from. None of these were built for the way readers actually consume information in 2026.

That reader is increasingly an AI assistant, summarizing on behalf of a human who never visits your page.

AI bots crawl the web 3.6 times more than Googlebot.

Source: Hostinger, 2026

Being cited isn't the same as being credited.

of citations are "ghost citations." Your URL is linked. Your name is not in the answer.

Source: Growth Memo via Semrush AI Toolkit, April 2026

This is the gap nobody talks about. AI systems retrieve your content for the source link, then recommend a competitor by name in the answer text. Your work does the labor. Their brand collects the recall.

The fix isn't more content. It's structural. Author schema. Stable entity URIs. Brand-claim fusion in the byline. A citation block that teaches models how to attribute. None of these are content problems. They're publishing-platform problems.

Markwright builds them in by default.

The marketplace tax, paid in answers.

Someone asks an assistant which roast-chicken recipe to use, or which CDP to buy, or which consultant to call. Today the answer names a marketplace, and the buyer lands on a listing where you pay a take rate to be found. Your expertise did the convincing. Their platform collected the customer.

When your work carries author schema, a stable identity, and a citation block, the assistant can name you and link your page instead. That is the same customer, acquired without the referral fee. For a brand it is lower acquisition cost. For a creator it is a reader who arrives knowing your name.

That redirect, from the marketplace to you, is the product.

When the brand is named in the answer, citation rate is 53%. When it is not, it falls to 10%.

Source: Seer Interactive, 2026

What you get

A clean, serif, editorial home for your long-form work.
Per-post structured output: JSON-LD, Markdown variant, RSS, JSON API, inclusion in llms.txt and llms-full.txt within sixty seconds.
Author schema linked to your LinkedIn, with a stable Person URI that AI entity graphs can resolve.
A "Cite this post" block on every page that hands AI systems the format we want them to use.
Weekly citation and mention tracking across Claude, ChatGPT, and Perplexity, in your dashboard.
Promoted-post slots for launches, not ads. Three per day, platform-wide.
A verified identity that travels with your work.

What you do not get

An algorithmic feed fighting for your attention.
Anonymous drive-by commentary.
AI-generated posts dressed up as expertise.
A subscription you have to remember to cancel.