GEO Testing lets you run controlled experiments to measure how content changes affect your AI visibility. Instead of guessing whether an optimization worked, you compare metrics before and after a change—or between test and control URL groups.

What types of tests can I run?

LLM Pulse supports two test types: Time-based tests compare metrics before and after a specific change date. Split tests compare a test URL group (where you made changes) against a control group (unchanged) over the same period.

How does the AI analysis work?

When you mark a test as complete, you can generate an AI-powered analysis. The system examines visibility scores, citation patterns, and sentiment trends across your test period to explain what changed and provide actionable recommendations.

URL groups are collections of pages you want to test together. You might group all product pages, all blog posts, or pages targeting a specific topic. Groups are reusable—create them once and use them across multiple tests.

Which plans include GEO Testing?

GEO Testing is available on Scale plans and above. It includes unlimited tests, AI-powered analysis, URL group management, and automatic timeline annotations.

GEO A/B Testing

Measure the impact of GEO changes with controlled tests

Run controlled before/after and split tests to measure how content changes, schema markup, and technical optimizations affect your AI visibility. Get AI-powered analysis of results.

Start Free Trial

14-day free trial

Cancel anytime

Trusted by 500 leading brands worldwide

Measure What Actually Works

GEO Testing gives you the tools to run controlled experiments and measure the real impact of your AI visibility optimizations.

Time-Based Tests

Before & After Analysis

Set a change date and compare AI visibility metrics before and after your GEO optimization. See exactly how content changes, schema markup, or technical fixes affected your rankings.

Split Tests

Test vs Control Groups

Compare two sets of URLs side by side. Apply changes to your test group while keeping a control group unchanged to isolate the impact of specific optimizations.

AI Analysis

AI-Powered Insights

Get an AI-generated analysis of your test results. The system examines visibility trends, citation changes, and sentiment shifts to explain what happened and why.

URL Management

Reusable URL Groups

Create and manage URL groups for your tests. Group pages by section, topic, or any criteria. Reuse groups across multiple tests for consistent benchmarking.

Timeline Integration

Automatic Annotations

Every GEO test automatically creates a timeline annotation. See test start dates on your visibility charts and correlate changes with other events.

Performance

Cached Results

Test results are cached for fast access. Review completed tests instantly without recalculating metrics. Export and share findings with your team.

How GEO Testing Works

Run controlled experiments to measure AI visibility impact

Define Your Test

Name your test, choose a type (time-based or split), and describe the change you are measuring.

Set Dates & URLs

Pick your change date and select URL groups. For split tests, assign test and control groups.

Monitor Metrics

Track visibility scores, citations, and sentiment across your test and control groups as data accumulates over time.

Get AI Analysis

Complete the test and generate an AI-powered analysis that explains what changed, why, and what to do next.

GEO Testing Use Cases

How teams use GEO testing to validate AI visibility strategies

Content Rewrites

Rewrite a set of pages for AI optimization and measure the before/after impact on visibility, citations, and sentiment.

Schema Markup Changes

Add or modify structured data and measure whether it improves how AI models reference your content.

llms.txt Additions

Test the impact of adding llms.txt files. Compare visibility before and after AI models can better discover your site structure.

Competitive Response

When a competitor makes changes, create a test to track how their actions affect your share of voice and visibility over time.

Frequently Asked Questions

Common questions about GEO testing in LLM Pulse.

: GEO Testing lets you run controlled experiments to measure how content changes affect your AI visibility. Instead of guessing whether an optimization worked, you compare metrics before and after a change—or between test and control URL groups.
: LLM Pulse supports two test types: Time-based tests compare metrics before and after a specific change date. Split tests compare a test URL group (where you made changes) against a control group (unchanged) over the same period.
: When you mark a test as complete, you can generate an AI-powered analysis. The system examines visibility scores, citation patterns, and sentiment trends across your test period to explain what changed and provide actionable recommendations.
: URL groups are collections of pages you want to test together. You might group all product pages, all blog posts, or pages targeting a specific topic. Groups are reusable—create them once and use them across multiple tests.
: GEO Testing is available on Scale plans and above. It includes unlimited tests, AI-powered analysis, URL group management, and automatic timeline annotations.

Ready to test your GEO strategy?

Create your first GEO test and start measuring the impact of your AI visibility optimizations.