An audit first. Then a schema you own.
A site can rank well and look polished.
An AI still has to work out what it means.
Structured data states that meaning in an open format.
The markup is yours, on your own site.
AI answers now sit beside search results.
They cite a few sources, not ten links.
An AI cites the sources it can read and verify.
Pages that are unclear are harder to cite.
When a page is unclear, the AI may guess.
Clear markup lets you state the facts yourself.
Classic audits check keywords, links and page speed.
This one adds entities, relationships and meaning.
In short: ranking and relevance are different things. Structured data states relevance in a form machines can read.
We crawl your whole website with our own crawler.
Then we show where an AI may hesitate, guess or misread.
This is a report of what a machine can read.
You keep the report and can act on it yourself.
Schema.org vocabulary is an open standard.
JSON-LD states who you are, in plain terms.
We write it for your business.
We install it on your site and test it.
Who you are, what you do, and where you work.
In terms any machine can parse.
The markup lives on your site, in your files.
You can read it, change it or remove it.
Founder of Earthgrid and a fractional CTO.
Programming since the Apple II.
Author of the SEO Meets AI series on generative engine optimization.
Senior advisor to Earthgrid.
Co-author of Net Results and Digital Engagement.
Read the work before you buy. The first chapters of the series are online: first chapters.
There are other tiers.
Every one of them starts with the audit.
We crawl your site, write your schema and install it.
You can see exactly what it says.
Questions and suggestions are welcome.
Tell us what would make this more useful.
Viktor, Earthgrid AI