What it is
A brand represents the entity you want to track across AI-generated search results.
This is typically your primary domain (e.g., disney.com), but AI engines may reference:
A company name
A product line
A business unit (e.g., “Disney Parks”)
A brand name without linking the root domain
Creating a brand sets the foundation for tracking how that entity appears across AI engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews.
Why it matters
AI engines do not behave like traditional search engines.
They:
Summarize entities, not just URLs
Mention brands without linking
Reference brand names inconsistently
Group product lines separately from parent domains
If your brand configuration is incorrect, you may:
Miss valid brand mentions
Underreport visibility
Misinterpret competitor performance
Track the wrong entity entirely
Correct brand setup ensures:
Accurate detection across engines
Reliable visibility scoring
Clean competitor benchmarking
Meaningful trend data over time
Because AI search is entity-driven, brand configuration directly impacts data accuracy.
How to create an AI visibility brand
Step 1: Create a project
On the sidebar, click Add Project in the bottom-left corner.
Enter the primary domain you want to track. The project is used for both Google rank tracking and AI Visibility.
The domain is used as a core identifier, but tracking is not limited to links only — it includes contextual mentions.
Step 2: Define your brand names
When you enter a domain, the platform suggests a brand name based on it.
For example:
Domain:
disney.comSuggested brand name: Disney
Confirm the suggestion, edit it if needed, and add any additional brand-name variations that should count as your brand.
This can include a company name, product line, business unit, or common name variation. AI answers that mention any of these names will count towards your brand’s visibility.
Step 3: Set your default AI Visibility settings
In the AI Visibility options section, choose the default region and update frequency for new prompts added to the project.
Prompt schedules can be set to:
Every day
Every 2 days
Every week
Every 2 weeks
Manual
You can later choose a different region or schedule for an individual prompt where needed.
Higher frequency = more data points and faster trend visibility.
Lower frequency = longer-term monitoring.
Brand structure strategy
Before creating multiple brands, consider:
When to create separate brands
You operate distinct product lines with separate AI presence
You compete under multiple recognizable brand names
You want separate reporting for subsidiaries
When to keep one brand
AI engines consistently reference your main company name
Product lines are tightly integrated
Executive reporting focuses on parent brand visibility
Clean brand structure improves clarity in competitor comparisons and visibility reporting.
What happens after brand creation
Once your brand is created:
You can add prompts
You can create topics
You can configure competitors
Execution history begins building
Visibility metrics start populating
No data is collected until search terms are added.
Common setup mistakes
Tracking a product name instead of the main brand (or vice versa)
Creating too many brand entities too early
Forgetting to configure update frequency
Not aligning brand structure with reporting needs
Because AI engines detect entities contextually, setup precision matters.
Best practices
Start with one primary brand
Add separate brands only when strategic separation is required
Align brand naming with how AI engines typically reference you
Choose update frequency based on business priority
Review early AI result snapshots to confirm detection accuracy
AI visibility tracking begins with correct brand configuration.
Strong setup ensures every metric you analyze later is grounded in accurate entity detection.