Trakkr Docs

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.

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.

TypeHow it answersExamples
Pure training dataFrozen at training timeClaude, stock ChatGPT, Meta AI
Live retrievalSearches the web first, then writesPerplexity, AI Overviews, ChatGPT Search
HybridMixes bothGemini, 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 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 glanceDashboard
Find the page and stage that need workPages
Pick the right questions to trackPromptsResearch
Know where AI learns about youCitations
Compare against rivalsCompetitors
Know how AI describes your brandPerception
Find content gapsContent
Make your site easier for AI to readOptimize Site, AI Pages
See what finished work earnedResults
Keep checking without doing it by handAutomations
Build an exact trigger and responseAutomations, Integrations

Going deeper

Three reference pages cover the long-tail detail. They're worth bookmarking, not reading top-to-bottom.