The Method
Signals Over Noise™
A better way to measure — & improve — AI visibility
The Problem
AI visibility is being measured wrong
Right now, most teams are trying to understand AI search using:
- A handful of prompts
- A few screenshots
- A lot of assumptions
It looks like data. It feels like insight. But it’s not reliable. It’s noise.
Why Prompt Testing Fails
AI search isn’t deterministic
Ask the same question multiple times and you’ll get different answers. Change the phrasing slightly and the results shift again.
That means:
- Small sample sizes are misleading
- Random prompts create bias
- One-off screenshots prove nothing
What We Actually Need
Not just “what showed up once” — but what shows up consistently
01Structured queries
02Consistent execution
03Enough data to see patterns
Want to see it in action? Use the Mention Rate Tool to test how often your brand shows up across AI-generated results.
The System
Persona → Entity → Sampling → Mention Rate
Persona
How your audience actually thinks, searches, & decides
We model real query behavior — not idealized marketing language.
Entity
What you want to be known for
Your services, audiences, locations, & key concepts — clearly defined & connected.
Sampling
How we measure visibility
Structured query sets with defined sample sizes:
- 20 queries / 5 runs — directional signal
- 40 queries / 10 runs — validated trends
- 80 queries / 30 runs — decision-grade data
We don’t increase queries for coverage — we increase them for confidence.
Mention Rate
What we measure
How often your brand appears across responses. Not where you rank — whether you’re included at all, and how consistently.
AI search is built on probability, not certainty
That means you can’t rely on single queries, isolated results, or gut feel.
You need enough data to see patterns. This method gives you that.
What This Is Not
- Not prompt engineering
- Not “testing a few queries”
- Not screenshots-as-strategy
This is a measurement system.
How This Connects
This method powers everything else
- Strategy — defines what you want to be known for
- Alignment — builds signals that reinforce it
- Measurement — validates whether it’s working
What This Unlocks
From guessing to knowing
- Confidence in your visibility data
- Clarity on where you actually stand
- Direction for what to fix & improve
- A way to track progress over time
Mention Rate Tool — BETA v2.0
The Signals Over Noise™ method, automated. Run structured query sampling, track mention rates, and get reliable AI visibility data – without doing it all by hand.
- Structured query sets built around your entities
- Consistent sampling across AI platforms
- Mention rate scoring you can track over time
- Decision-grade data – not screenshots
Build on signals, not assumptions
If your data is based on noise, your decisions will be too. This is how you fix that.