TRUST SHOULD BE TESTABLE

Do not take the scanner's word for it.

SmallBizzWizz has no customer outcome case study yet, so we do not manufacture one. Instead, you can inspect the method, inspect the source, reproduce the controlled validation, and see exactly where the evidence stops.

FIRST CONTROLLED PRODUCTION VALIDATION · AUGUST 28, 2026

The known repairs changed the live scanner result from 6 signals to 1.

Before fixture3 high-priority signalsNon-tappable phone · no clear quote action · no lead form were the three highest-priority findings.

→

After fixture0 high-priority signalsThe three targeted primary findings disappeared. One low-priority secondary-messaging signal remained.

This test ran against production, using the same public scanner surface used for normal scans. It demonstrates that the detector responds to known capture-path changes under controlled conditions. It does not demonstrate a revenue increase.

Re-run before scan Re-run after scan Inspect validation record

CONTROLLED VALIDATION

Same fictional contractor. Two known conversion paths.

The two pages below are synthetic fixtures, not customer results. The “before” version deliberately exposes a plain-text phone number without tap-to-call, has no lead form, no clear quote action, and weak trust evidence. The “after” version deliberately adds a tel: call action, quote CTA, short form, trust proof, and LocalBusiness structured data.

BEFORE FIXTURE

Known weak capture path

Use this to see whether the scanner catches deliberately introduced friction.

Open fixture Run scanner

AFTER FIXTURE

Known improved capture path

Use this to confirm that the same scanner stops raising issues when the relevant signals are actually present.

Open fixture Run scanner

This is an acceptance test, not proof of revenue lift. It demonstrates detection behavior under controlled conditions. Real conversion impact requires real traffic and business data.

TECHNICAL EVIDENCE

The implementation is inspectable.

Scanner logicPublic source code for URL safety, crawling, detection rules, findings, and priorities.Inspect revenue-audit.ts

Production revisionThis page was built from production commit c9f05f2.Inspect this commit

Independent buildPull requests and main are compiled in GitHub Actions in addition to Vercel's deployment build.Inspect build history

MethodWhat is checked, what can be missed, and what the scanner explicitly does not claim.Read methodology

DeliverableSee the structure of the paid repair plan before paying for one.Inspect sample Fix Pack

EVIDENCE STANDARD

What we will and will not call proof.

We will call this proofReproducible detection tests, exact public-page evidence, implementation before/after records, and measured customer outcomes when enough post-change data exists.

We will not call this proofSynthetic testimonials, fabricated revenue impact, an unexplained proprietary score, a customer logo without permission, or a before/after claim with no measurement window.

NEXT EVIDENCE MILESTONE

A real implementation with measured before-and-after behavior.

The controlled test establishes scanner behavior. The next stronger proof requires a real business, permission to document the work, a defined baseline and post-change measurement window, and enough traffic to make the comparison meaningful. Until that exists, SmallBizzWizz will not present a synthetic fixture as a customer success story.