This is a working product experiment — not a hypothetical case study.
The AI Visibility Checker is a functional public tool that analyzes a publicly accessible webpage and returns an AI Visibility Score with practical signals and recommendations. Version A is the original baseline. Version B is the redesigned experience created specifically to test against that baseline.
Original Experience
The baseline interface emphasizes explanation before the visitor reaches the checker. The primary URL form appears after introductory context.
Updated Experience
The redesign brings the checker directly into the hero, sharpens the value proposition, strengthens CTA hierarchy, and gives the result more context.
Experiment Objective
Test whether reducing the distance between the visitor's intent and the checker itself improves engagement and downstream action, while keeping the underlying analysis experience consistent.
Version A — Original Control
The original live experience and baseline against which the updated version is tested.
Version B — Updated Variant
The redesigned experience created specifically to test against Version A.
The redesign changes the path to action, not the core purpose of the tool.
Immediate Checker
Version B places the website checker directly in the hero, reducing the amount of scrolling required before a visitor can take action.
Outcome-Focused Messaging
The headline moves from a broad readiness question to a clearer outcome: whether AI search can find, understand, and reference the website.
Stronger Page Sequence
Version B creates a tighter visitor journey: why it matters → check the site → understand the result → take the next step.
More Result Context
The score is supported by additional dimensions so visitors can understand what the number means rather than seeing a score without context.
A hypothesis first. Data before conclusions.
The redesign creates a conversion hypothesis, but the live test — not design preference — determines whether that hypothesis is supported.
| Hypothesis | Bringing the checker into the hero and making the value proposition more outcome-focused will increase the percentage of visitors who start and complete the AI Visibility Check. |
|---|---|
| Control | Version A — original AI Visibility Checker experience. |
| Variant | Version B — updated experience with immediate checker access and revised messaging and visual hierarchy. |
| Primary Metric | Checker starts divided by unique visitors. |
| Secondary Metrics | Completed checks / result views, lead submissions, SEO audit CTA clicks, and strategy-call CTA clicks. |
| Decision Rule | Do not declare a winner based on visual preference alone. Compare behavioral data after sufficient traffic has accumulated. |
Live and ready for measurement.
The project is set up for real-world comparison. The screenshots establish the experience differences; they do not establish a statistical winner.
Version A:
Live control.
Version B:
Live updated variant.
Winner:
Not declared until behavioral test data
supports the conclusion.
What the screenshots show
Version B has a more immediate CTA path, clearer first-screen intent, and stronger result framing. These are design observations and the basis for the test hypothesis — not proof of higher conversion.
What the test must answer
Does the redesigned experience actually cause more visitors to start the checker, complete it, submit their details, or take the next SEO or strategy action?
See both versions for yourself.
The live URLs are the source of truth for functionality. This page documents the experiment and preserves the visual evidence.