Trust notes

A premium product should explain its trust boundary plainly

Pagelyze is designed to be read-only on the scanning side, explicit about the difference between AI previews and deterministic outputs, and clear about how webhook-driven automation fits into that boundary.

Core trust principles

The product should be easy to explain to a client, teammate, or security-conscious buyer.

Read-only auditsSigned webhooksSaved proofClear AI boundary

What we mean by trust

Trust is product clarity, not just a policy page

Read-only scanning

Audits inspect public pages and return findings. They do not log in or edit website content during the scan flow.

Webhook integrity

Automation assumes signed publish events so teams can treat triggers as part of a deliberate workflow.

Output separation

AI previews are framed as guidance. Deterministic Fix Packs are framed as implementation-ready delivery output.

Operational trust

The trust model stays useful across product pages

Demo honesty

The demo explains what is simulated and what happens only after a live audit.

Pricing clarity

The pricing model is easy to reason about: free discovery, paid implementation layer, optional human help.

Reports as proof

Saved reports act as a durable, revisit-friendly source of truth instead of ephemeral screenshots.