This guide walks through your workspace, the actions available to you, and how to create your first Brand analysis.Documentation Index
Fetch the complete documentation index at: https://docs.shareofmodel.ai/llms.txt
Use this file to discover all available pages before exploring further.
Workspace overview
Once you log in, you land on your workspace. If you have multiple workspaces, they appear in alphabetical order. Each workspace contains its own analyses. Switch between workspaces using the dropdown next to the workspace name.
Available actions
Check credits
Each workspace has a credit balance based on your plan or contract. Credit usage depends on 
See the credit system for the full breakdown.
# regions × # personas configured per analysis. Need more quota? Contact your Customer Success Manager.
Filter active vs archived
Toggle between active and archived analyses. Archived analyses can be restored if you have available quota.
The period during which an analysis was archived contains no data — data is not backfilled.

Archive or delete
Each analysis can be archived for later or deleted permanently. From Edit Analysis Duration you can also update or remove the auto-archiving deadline.

Analysis status
The progress of an analysis is tracked through three statuses:- Launching — initial 15–20 minutes after creation.
- Collecting — data is gathered over the next 2–3 weeks. Trends may shift as more data arrives.
- Live — data has stabilised and is ready for insights.
Analysis timer
The end date marks when data collection stops. The analysis is then automatically paused until manually unarchived; no data is backfilled for the paused period. The timer can be edited from Edit Analysis alongside the analysis name.

Create a new analysis — best practices
Select the language
Match the language to the analysis region. For example, pick German for an analysis in Germany.
Set the analysis end date
We recommend collecting data for at least one month, after which the analysis is archived. You can change or remove the end date later.
Choose 3 competitors
Three competitors relevant to the brand and region must be defined for comparison. Spelling matters.
Select 6 attributes
Six attributes are required to launch the analysis — they drive perception scoring on specific dimensions.
Pick the LLM models
Enrich your analysis by selecting the AI models to include. OpenAI, Google AI, Meta AI and Anthropic are pre-selected by default for optimal coverage.
Define personas (optional)
Define up to 5 personas per analysis based on interests, demographics and location. Example: A 35-year-old woman who lives in the city.
Data is available after a 15-minute delay. The View Details button stays inactive until then. Refresh after 15–20 minutes to access the dashboards.
Insights available after launch
- AI brand awareness — Category Landscape
- AI category & brand perception — Category perception and Brand Perception (based on custom attributes)
- Sources (beta) — most influential sources AI models reference for your category
- Smart Audiences (beta) — most relevant customer personas per category, based on advanced LLM understanding
What’s next
Prompt System & Methodology
Understand how the Brand module works.
Category Landscape
Read awareness charts for your category.
Pros & Cons
Read perception charts for your category.
FAQs
Quick answers on metrics and methodology.





