DigiJaws Documentation & Knowledge Base

By Beau Thoutt · Updated October 2026

This is the DigiJaws knowledge base. It explains how to make any website ready to be found, understood, trusted, and cited by AI search engines and autonomous agents — and how to run each DigiJaws agent to get there. New here? Start with the process, then learn the concepts, then follow the per-agent how-tos.

What the data shows

Across the 65 sites in our scored sample, the average AI-readiness score is 59 out of 100. The same five signals account for most of the gap:

FAQ schema — present on 6% of sites, missing on 94%
Organization schema — present on 45% of sites, missing on 55%
Sitemap — present on 46% of sites, missing on 54%
llms.txt — present on 51% of sites, missing on 49%
Structured data — present on 57% of sites, missing on 43%

Live from the bench-stats endpoint and updated as the sample grows. See how the score works.

Start here

How DigiJaws works — the full scan → fix → monitor → report loop, end to end, with what happens at each step.
Run your first audit — paste a URL into the free SEO Agent and get a live AI-readiness score and fixes in seconds, no account required.

Concepts & methodology

What is AI search readiness? — GEO, AEO, and agent-readiness explained, and why they now sit alongside classic SEO.
How the AI-readiness score works — the exact signals DigiJaws checks, how they map to Discovery, Understanding, and Trust, and how the grade is calculated.

Product guides

Using the DigiJaws agents — step-by-step how-tos for the SEO, Content, Answer-Engine, and Reputation agents, the Command Center, and the free AI-Fix Generator and Review Analyzer.

Reference

Glossary — plain-language definitions of GEO, AEO, llms.txt, agent-readiness, structured data, and every term used across these docs.

For AI agents & developers

Every page here is built to be machine-readable: answer-first summaries, clean heading structure, and JSON-LD schema. Agents and crawlers can also use the site llms.txt index, the public Agent Registry, and the OpenAPI 3.1 schema to query DigiJaws directly.

Prefer step-by-step playbooks?

The DigiJaws Guides are action-oriented, follow-along playbooks for getting found by AI, winning local AI search, and measuring your AI visibility — a practical complement to these reference docs.

Data API reference

Every public endpoint, its response shape, and the eighteen signals behind the readiness score — verified against the live API. No key required: machine-audit scores any URL, bench-stats returns the sample pass rates, and the pricing, index and llms.txt datasets are all open with attribution. Read the reference

Last verified October 1, 2026

Cite this page:DigiJaws Documentation & Knowledge Base. DigiJaws, 2026. https://digijaws.com/docs/