What are annotations in LLM Pulse?

Annotations are markers you place on your AI visibility timeline to record events, such as content changes, algorithm updates, campaign launches, or any event that might affect your metrics. They help you correlate what happened with how your visibility changed.

Can I organize annotations into categories?

Yes. You can create custom annotation categories with names and colors. Common categories include Content Updates, Technical Changes, Algorithm Updates, and Campaigns. Categories help you filter and organize annotations across your timeline.

Who can see my annotations?

Annotations have three visibility levels: Personal (only you see them), Project (all project members see them), and System-wide (visible across all projects). You control visibility when creating each annotation.

Do GEO tests create annotations automatically?

Yes. When you create a GEO test, a red annotation is automatically placed on your timeline at the test start date. This makes it easy to see exactly when a test began and how it affected visibility metrics.

Which plans include annotations?

Annotations are included on every plan, including Starter and trial accounts.

Chart Annotations

Mark key moments with annotations on your timeline

Add annotations to your AI visibility charts to mark content changes, algorithm updates, campaigns, and other events. Understand what drives your metric changes by connecting events to visibility shifts.

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Mark key moments with annotations on your timeline

Features

Connect Events to Visibility Changes

Annotations turn raw visibility data into actionable insights by connecting metric changes to the events that caused them.

Pin Events on Your Charts

Add annotations to any date on your visibility timeline. Mark content changes, algorithm updates, or campaign launches to correlate events with metric shifts.

Custom Categories

Create annotation categories with custom colors to organize events by type, such as content updates, technical changes, competitor moves, or team milestones.

Color-Coded Timeline

Each annotation category gets its own color. Instantly distinguish content changes from algorithm updates or campaign launches on your charts.

Project-Wide or Personal

Choose annotation visibility, keep notes personal, share with your project team, or make them system-wide. Control who sees what on the timeline.

Automatic GEO Test Markers

When you create a GEO test, an annotation is automatically added to the timeline. See exactly when tests started and correlate with visibility changes.

Team Context

Give your team the context they need. When someone sees a visibility spike or drop, annotations explain what changed and when.

How Annotations Work

Add context to your visibility data in seconds

1

Create an Annotation

Click any point on your visibility timeline or use the annotation panel. Give it a title, description, and pick a date.
2

Choose a Category

Assign a category and color to organize your annotation. Create custom categories that match your workflow.
3

See It on Your Charts

Annotations appear as colored markers on your visibility timeline. Hover to see details, click to edit.
4

Correlate Events with Metrics

Compare visibility before and after annotated events. Understand which changes drove improvements or drops.

Annotation Use Cases

How teams use annotations to understand AI visibility changes

Content Updates

Mark when you published or updated content. See how changes to your pages affect AI visibility over time.

Competitor Moves

Track when competitors launch new content or features. Correlate their actions with changes in your share of voice.

Algorithm Changes

Record when AI models update their algorithms or training data. Understand which updates affected your visibility.

Campaign Launches

Mark campaign start and end dates. Measure the AI visibility impact of your marketing initiatives.

"LLM Pulse is a pioneering response to the need to measure performance across different LLMs. At TecnoCampus we need maximum transparency, the ability to parameterize results and to carry out visibility audits for our brand, now also in the increasingly established field of AI. LLM Pulse gives us all of that in a single place."

Jordi Perez Rubio

TecnoCampus

Frequently Asked Questions

Common questions about using annotations in LLM Pulse.

: Annotations are markers you place on your AI visibility timeline to record events, such as content changes, algorithm updates, campaign launches, or any event that might affect your metrics. They help you correlate what happened with how your visibility changed.
: Yes. You can create custom annotation categories with names and colors. Common categories include Content Updates, Technical Changes, Algorithm Updates, and Campaigns. Categories help you filter and organize annotations across your timeline.
: Annotations have three visibility levels: Personal (only you see them), Project (all project members see them), and System-wide (visible across all projects). You control visibility when creating each annotation.
: Yes. When you create a GEO test, a red annotation is automatically placed on your timeline at the test start date. This makes it easy to see exactly when a test began and how it affected visibility metrics.
: Annotations are included on every plan, including Starter and trial accounts.

Ready to add context to your data?

Start annotating your visibility timeline and never wonder why metrics changed again.