Core Concepts
:::summarybox remember What AI visibility is, and how it differs from search The shared nouns Trakkr is built around Why your brand appears (or doesn't) in AI answers A map to where each idea lives in the product
When AI doesn't name you, you're invisible to a slice of buyers you'll never measure with web analytics. That's the gap Trakkr fills.
The vocabulary
Nine nouns explain most of what you see. The first six describe what Trakkr measures. The last three describe where you focus, what you do, and what keeps checking.
:::conceptgrid cols=3 brand|Brand|What you track. nike.com is a brand; so is its parent, Nike, Inc. prompts|Prompt|A question worth tracking. "Best running shoe for marathons?" model|Model|An AI engine. Trakkr polls eight of them - ChatGPT, Claude, Gemini, Perplexity, AI Overviews, Grok, Meta AI, DeepSeek. mention|Mention|Your brand name appearing inside an AI answer. Graded by position, sentiment, and context. citations|Citation|A URL the AI cites as a source. The clearest lever you have for changing what models say. competitors|Competitor|Another brand you track alongside yours. Powers every head-to-head view. visibility|Page|A URL moving through Available, Reached, Understood, Relevant, Selected, and Visited. trend|Action|A piece of work. Its work state stays separate from the Result it later earns. research|Automation|A standing instruction that checks something and responds within the permission you set.
One daily check knits the first six together: Trakkr asks every prompt to every model and captures every mention and citation that comes back. Pages, Actions, and Automations turn that evidence into a clear path from finding a problem to measuring the result.
Why you appear (or don't)
When someone asks Perplexity for the best CRM, three things decide whether your brand is named.
1. Training data presence
Models learn from the open internet - Wikipedia, news, reviews, well-linked blogs. If your brand showed up in quality sources during training, the model knows you exist. Paid ads, most social posts, and gated content don't make it in.
2. Contextual relevance
Knowing you exist isn't enough. The model has to connect your brand to the right category. "An all-in-one workspace" is harder to place than "a note-taking app for teams." Clarity wins.
3. Sentiment and positioning
How you're described matters as much as whether you're named. If the sources AI trusts position you as a leader, that follows you into the answer. If they position you as the alternative-to-X, that follows too.
These three are what every Trakkr feature ultimately moves. Citations is the most direct lever - change what models read about you, and the answer changes.
The eight models we track
Each model has different training data, a different cutoff date, and a different way of pulling in fresh information. Scoring 80% on Claude and 30% on Perplexity is normal - and both numbers are useful signals.
| Type | How it answers | Examples |
|---|---|---|
| Pure training data | Frozen at training time | Claude, stock ChatGPT, Meta AI |
| Live retrieval | Searches the web first, then writes | Perplexity, AI Overviews, ChatGPT Search |
| Hybrid | Mixes both | Gemini, Grok, DeepSeek |
There's no single number that summarizes everything - and that's the point. Different models reach different audiences, and an improvement plan usually targets one tier at a time.
The visibility loop
Improving AI visibility isn't a one-time audit. It's a loop, and Trakkr is built around it.
Measure Understand Act Prove current=0
Measure with Research and the Dashboard to establish a baseline. Understand with Pages, Citations, and Perception to see what is holding you back. Act through Actions, Optimize, Content, and AI Pages. Prove by measuring the finished work against the window frozen when you started it. Results tells you whether it Earned, showed No movement, or Couldn't measure. It says a change coincided with movement, never that it caused it.
The map: where each idea lives
The rest of the docs are organized by what you want to do. Use this as a routing index.
| If you want to… | Start here |
|---|---|
| See your numbers at a glance | Dashboard |
| Find the page and stage that need work | Pages |
| Pick the right questions to track | Prompts → Research |
| Know where AI learns about you | Citations |
| Compare against rivals | Competitors |
| Know how AI describes your brand | Perception |
| Find content gaps | Content |
| Make your site easier for AI to read | Optimize Site, AI Pages |
| See what finished work earned | Results |
| Keep checking without doing it by hand | Automations |
| Build an exact trigger and response | Automations, Integrations |
Going deeper
Three reference pages cover the long-tail detail. They're worth bookmarking, not reading top-to-bottom.
visibility|Metrics|Every Trakkr metric: formulas, thresholds, and what good looks like.|/learn/docs/metrics
ai|Glossary|Alphabetised definitions of every term you'll encounter.|/learn/docs/glossary
content|FAQ|Quick answers to the most common questions about Trakkr.|/learn/docs/faq
Most people skim this page once, then come back after their first research check. The vocabulary clicks faster with your own data in front of you.