Read the public site
Score what machines can understand now: structure, trust, crawler access, schema, AI entrypoints and blockers.
AI Visibility Control Room
Control how AI understands your business.
AgntBase is not just an llms.txt generator. It is a practical operating layer for checking, building, verifying, monitoring and improving the machine-readable version of a business.
Flow
From check to control.
Each step has one job: reduce guessing, separate official facts from inference, and give humans or agents a safe next action.
Create the layer
Prepare canonical profile, llms.txt, structured data, source notes and website install instructions.
Make it owner-confirmed
Claim the profile by domain email, DNS, meta tag or well-known file, then confirm the fields AI should trust.
Watch who reads
Separate humans, search bots, AI bots and scanners, then track whether important machine-readable pages return 200.
Find weak spots
Show missing facts, unclear services, weak trust signals, stale data, crawler issues and recommended next fixes.
Keep facts current
Move toward a workspace where the owner can maintain offers, limits, contacts, routes, freshness and agent-safe actions.
We do not control model behavior.
AgntBase improves the public machine-readable representation of the business. It does not guarantee AI recommendations, rankings, citations or traffic.
Files are outputs, not the product.
The real product is the operating process around the files: source-of-truth data, verification, monitoring and safe handoff rules.
Actions stay controlled.
Public layers are read-first. Payments, profile changes and business-critical actions stay human-confirmed unless explicit authorization exists.
A practical AI-readable setup.
- AI-readiness score and report.
- Canonical profile and source-of-truth notes.
- Website files and install guide.
- Owner claim and verification path.
- Optional product/service layer for offers.
A business representation workspace.
- Owner dashboard for confirmed fields.
- Freshness reminders and changelog.
- AI bot and agent activity control panel.
- Field-level trust labels: owner-confirmed, website scan, inferred.
- Read-only agent interfaces first; write actions only with auth and human confirmation.