Skip to main content
Tracking tells you where your brand appears in ChatGPT responses. Optimization tells you why you appear — or why you don’t — and what to change. While Response Tracking delivers the score, the Optimization module delivers the diagnosis and the prescription: structural content gaps, entity fragmentation, and the external sentiment signals that shape how AI perceives your brand.

​
What’s in the Optimization module

The module is organized around three distinct lenses, each targeting a different reason why AI may overlook or misrepresent your brand.

Content Retrieval

Understand what content elements AI selects when answering a prompt. Compare your pages against those requirements using vector similarity analysis at the chunk level.

Entity Clarity

Measure how consistently AI models recognize your brand as a single, unambiguous entity. Detect naming variations and alias drift before they weaken your visibility.

Sentiment Radar

Monitor how your brand is described across customer reviews, social platforms, news, and other non-owned sources that feed into AI training data and citations.

​
Tracking vs. optimization

These two modules are designed to work together, not independently.
Response TrackingOptimization
Primary questionWhere do I appear?Why do I appear or not?
OutputMention rate, citation count, competitor benchmarksContent requirements, entity fragmentation score, sentiment breakdown
Use caseDaily performance monitoringDiagnosing gaps and planning content changes
Feedback loopMeasures change after you actIdentifies what actions to take
Use Tracking to detect shifts in your visibility. Use Optimization to understand what’s driving those shifts and how to address them.

​
How AI selects content

When ChatGPT answers a prompt, it doesn’t retrieve a ranked list of web pages — it selects content based on semantic alignment, entity resolution, and the credibility of cited sources. That means three distinct factors can hold your brand back:
  1. Retrieval gaps — your content doesn’t structurally match what AI is looking for when answering a specific type of question.
  2. Entity fragmentation — AI can’t consistently identify your brand as one clear entity, so mentions scatter across variations.
  3. Sentiment signals — the external web narrative around your brand is mixed or negative, reducing AI’s confidence in citing you.
Each Optimization tool addresses one of these factors directly.
Content Retrieval, Entity Clarity, and Sentiment Radar are available on the Pro plan and above. Upgrade your plan in Account → Billing to unlock the full Optimization module.