Peekaboo Help Center
Measure AI visibility without overstating the evidence.
Learn what Peekaboo observes, how its score is calculated, and how to connect AI visibility with search and business data. Every guide explains the metric’s limits as well as its intended use.
Last reviewed: July 20, 2026
Start with the measurement guides
01 · Measurement basics
How Peekaboo measures AI visibility
What a prompt run records, how brand mentions and citations are detected, and why AI answers must be treated as observations rather than fixed rankings.
7 minute read →
02 · Metric reference
How to interpret the AI Visibility Score
The exact 0–100 formula, why non-mentions count as zero, how no-data states differ, and how to make fair comparisons.
8 minute read →
03 · Search workflow
Use Search Console with AI visibility data
A repeatable workflow for connecting prompt gaps to search queries and pages without treating correlation as proof of causation.
9 minute read →
04 · Decision guide
Turn AI visibility measurements into decisions
Choose the right evidence, compare consistent windows, and decide when to investigate, change content, or keep observing.
9 minute read →
Our evidence standard
A prompt run is an observation. A repeated pattern is stronger evidence. A before-and-after chart is not automatically proof of causation or revenue.
Read the full measurement methodology for definitions and limitations.
See the editorial and corrections policy for our sourcing and publication rules.