A site AI can read. AI calls you can count on.
We give your site llms.txt, Markdown versions and structured data so AI assistants find the right facts, and build AI calls with a fixed model per task, batch processing and logged tokens.
Email hello@egenverk.se or book a call.
Quote after a call
AI optimisation at Egenverk has two parts. First, your website becomes readable for AI assistants and AI search: llms.txt, Markdown for every page, JSON-LD and, for WordPress, an MCP server. Second, your AI calls become predictable: a fixed model and response format per task, batches for what can wait, tokens counted per call. We promise no placement in AI answers.
What is included
llms.txt
/llms.txt per language lists the site's pages with links to Markdown, and /llms-full.txt collects the pages' text in one file.
Markdown for every page
Add .md to an address and an agent gets the page as plain text, without clicking.
Structured data
JSON-LD with schema.org types for the organisation, products and articles on every page.
MCP for WordPress
With Egenverk Sluice MCP, an AI client can read and, if you allow it, write in WordPress and WooCommerce. Pre-release.
The right model per task
Each call type has a fixed model and a JSON schema for the response, set on the server. The client never picks the model.
Batches and token log
Cases that can wait run through the provider's batch API, which costs less. Tokens are logged per call and counted against a monthly budget.
How we have done it
egenverk.se
Every page exists as Markdown, /llms.txt exists in Swedish and English, and the site has /llms-full.txt, Atom feeds and JSON-LD checked in the build.
Sluice MCP
The MCP server runs at /wp-json/sluice/v1/mcp inside WordPress. No relay service: traffic goes only between the site and the client.
Egenverk Claims
Model and response schema per call type in the server's configuration, batch processing through the provider's batch API and token counts per call. The service stores no content.
Egenverk Babbla
A daily token budget, a limit per user and an estimated cost per user and day.
How we work
Call
Free. We listen and tell you honestly if we are the right fit.
Written proposal
Fixed scope, timeline and price.
Small, reviewed steps
Every change is reviewed and tested before it ships.
Your code, your repo
Ownership and licences are defined in the proposal. Documentation and a changelog are included.
Common questions
Will we rank higher in AI answers?
What is llms.txt?
Do we need MCP?
How do you keep the cost of AI calls down?
What does it cost?
Can AI assistants read your site?
Send us the address. A short call, no sales script.