Quick Start
From zero to your first AI visibility baseline in five minutes - add your brand, pick a handful of prompts, run research, and read your scores.
- A brand set up and detected on every AI model Trakkr tracks
- A handful of prompts capturing what your customers actually ask
- A visibility baseline you can improve from - and trends to watch from day two
This is the path almost everyone takes on day one. Five minutes, four steps, real data at the end. No theory in the way - for why the numbers look the way they do, Core Concepts is the next page.
Before you start
You'll move faster with these to hand:
- Your brand name the way customers say it - Nike, not Nike, Inc.
- Your primary domain -
nike.com - Two or three competitor names you want to compare against
No code, no integration, no waiting on data sources. If you don't have a Trakkr account yet, sign up first - the rest of this guide assumes you're logged in.
Step 1 - Add your brand · ~90 seconds
Go to Settings → Brands and click Add Brand in the top right.
Three fields matter on day one. Trakkr grabs your logo from the website automatically.
| Field | What to enter | Example |
|---|---|---|
| Brand name | How people refer to you | Nike |
| Website | Your primary domain | nike.com |
| Description | What you do, in a sentence | Athletic footwear and apparel |
Step 2 - Pick your prompts · ~2 minutes
Open Prompts from the sidebar and click Add prompt. (Or hit ⌘K and type add prompt - the global command palette works from anywhere.)
Prompts are the questions Trakkr will ask AI on your behalf - every model, every day. Write them the way a real person would ask, not the way you'd type into Google.
What are the best running shoes for marathon training?
running shoes
How do Nike running shoes compare to Adidas for long distance?
Nike vs Adidas
Are Nike Vaporfly worth the price for amateur runners?
best shoes for running
The bad ones aren't wrong - they're keyword-style queries. AI responds very differently to a fully-formed question than to a keyword. Match the shape of a real conversation.
Five to ten prompts is plenty to start. Cover three angles:
- Discovery - "What's the best [category] for [use case]?"
- Comparison - "How does [you] compare to [competitor]?"
- Reputation - "Is [you] good for [specific need]?"
Don't try to be exhaustive - you'll add more once you've seen your baseline.
Step 3 - Run research · ~2 minutes of waiting
Open Research from the sidebar and click Run Research.
Trakkr asks every prompt to every AI model your plan covers (six on Free and Starter; eight on Growth and Scale, which add Perplexity and DeepSeek). Every response is analysed for brand mentions, position, and sentiment, and the results stream into your dashboard as they arrive.
This is the only step where you wait. Two minutes, give or take.
Step 4 - Read your baseline
Head to your Dashboard.

Four numbers tell most of the story. The first is your headline; the rest add nuance.
| Metric | What it means | What's normal on day one |
|---|---|---|
| Visibility Score | How often you appear, weighted by where you rank | 30-60% for established brands; 0-30% for newer ones |
| Presence | Percentage of prompts where you appear at all | 40-70% is typical |
| Rank | Where you sit when AI lists brands (lower is better) | 2-5 is healthy |
| Mentions | Raw count of brand mentions across every prompt × model | The number you'll watch grow over time |
Below the hero, the model breakdown shows your performance on each AI individually. Scoring 80% on Claude and barely registering on Perplexity is completely normal - different training data, different retrieval, different audiences. The per-model split is where most diagnoses start.
For the formula behind every score on this page, see the Metrics.
You have data. Now what?
Three branches depending on what's on your mind right now.
Understand what's behind your scores
Core Concepts loads the vocabulary, the three drivers of AI visibility, and a map of where every idea lives in the product.
Find the gaps worth fixing
Citations shows the URLs AI cites for you - and the ones it cites for your competitors but not you. Those gaps are your shortest path to a higher score.
See how you stack up
Competitors gives you head-to-head matchups across every prompt and model, with the win/loss/tie breakdown for every comparison.
