Visibility experiments
Measure how often your brand appears in AI-generated responses across leading models.
Sentiment experiments
Understand how AI models describe and perceive your brand in their responses.
Reading results
Interpret mention rates, sentiment scores, citations, and AI-generated analysis.
Analytics
Compare executions over time with trends, baselines, and source concentration.
Scheduling
Automate recurring experiment runs so your data stays current without manual effort.
Visibility vs. sentiment — which should you use?
- Visibility
- Sentiment
Choose a Visibility Analysis experiment when you want to measure whether your brand is being mentioned in AI responses at all.Visibility answers questions like:
- “Does Perplexity mention us when users search for our category?”
- “How often do we appear vs. our competitors?”
- “Is our website being cited as a source?”
Creating a new experiment
Creating a new experiment has four steps: Company, Categories, Queries, and Create.1
Open New Experiment
From the sidebar under Strategy, click Experiments. Then click New Experiment.
2
Step 1 — Company
Choose your experiment type and subtype, then enter your company details.Experiment types:
- Visibility Analysis
- Sentiment Analysis
- Company Name (required)
- Company Website (required)
- Company Aliases (optional) — alternative names used when detecting brand mentions
- Sales transcript (optional) —
.txtfile to improve query suggestions - Categories & queries CSV (optional) — import your own category/query map
3
Step 2 — Categories
Review the generated Description and Categories. Edit them as needed, or expand Add additional information to steer the suggestions.If you imported a CSV, categories come from that file and you can edit queries on the next step.Click Continue.
4
Step 3 — Queries
On Review and Edit Search Queries, edit, add, or remove queries in each category. Click Next when the query map looks right.
5
Step 4 — Create
Confirm the Experiment Summary, then configure:
- Model Selection — choose which AI models to test
- Location Information (optional) — country, region/state, and city for geo-targeted answers
- Enforce Web Search (optional) — require GPT models to use web search before responding
Managing your experiments
Filtering and sorting
On the Experiments page, search experiments and filter by type, subtype, or archival status. Sort by creation date or name.Pinning
Pin important experiments to keep them at the top of your list. Click the pin icon on any experiment card to toggle the pinned state.Tags
Add tags to categorize and filter your work. Tags are editable from the experiment detail view.Archiving
Archive experiments you no longer actively track. Archived experiments are hidden from the default view but remain accessible via the archived filter. Archiving does not delete any data.Rerunning and scheduling
From an experiment detail page you can:- Rerun Experiment — start a new execution with the current configuration
- Schedule — set a recurring cadence (see Scheduling)
Experiment settings
Open Settings on an experiment to manage:- Web Search preferences
- Company aliases
- Competitors
- Tracked URLs
- Queries and categories
- Outreach excluded domains (visibility experiments)
Deleting
Delete an experiment permanently from the experiment detail view. This removes the experiment and all of its executions and results.What’s next?
Visibility experiments
Configure tracked URLs, company aliases, geo-targeting, and model selection for visibility.
Sentiment experiments
Understand sentiment subtypes, action item sync, and how to interpret sentiment scores.
Analytics
Track how visibility and sentiment change across executions.
Scheduling
Set up automatic recurring executions to track changes over time.