Built for SEO Product Managers

SEO Experiment Lab

An AI-powered tool to plan, execute, and measure on-site SEO experiments for financial content publishers. Powered by the HBML hypothesis framework.

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§02 · The Toolkit

Core Features

Everything you need to run a data-driven SEO experimentation program

Analyze

Content SEO Analyzer
Paste a URL or topic and get an AI-powered audit with E-E-A-T scoring, GEO readiness, topic cluster mapping, and prioritized recommendations.

Plan

Experiment Planner
Create HBML hypotheses, ICE score experiments, and manage your backlog with a prioritized roadmap view.

Execute

Page Preview
Generate financial comparison page templates with schema audit, SERP preview, and internal linking analysis.

Measure

A/B Test Dashboard
Statistical significance calculator, cumulative impact tracker, and decision log for experiment results.

§03 · Method

The Experiment Workflow

A structured process from analysis to measurement

1

Step 1

Analyze

Audit content for E-E-A-T quality and GEO readiness

2

Step 2

Plan

Build HBML hypotheses and prioritize with ICE scoring

3

Step 3

Execute

Preview programmatic pages and validate schema markup

4

Step 4

Measure

Track results with statistical rigor and log decisions