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AI Visibility Analytics

Our AI visibility platform delivers robust analytics. Here's how it works.

Q
Written by Quinn Schwartz
Updated over 3 weeks ago

How It Works

One of the core reasons to use Search Party is to understand how your brand shows up inside large language models over time. To make this possible, Search Party runs a global data model that tracks prompt responses across thousands of brands at once. From this dataset, key metrics are delivered directly to your dashboard so you can see how visibility evolves and how your brand compares.

The Dashboard is the central place to view analytics. You can filter results by:

  • Date range

  • Tags

  • Foundation Model providers

  • Prompts

  • and lots more...

This flexibility lets you slice the data down to the exact view you need, whether that’s by product line, geography, or a custom prompt cluster.

Key Benefits

  • Robust analytics tied directly to the prompts you care about

  • Out-of-the-box metrics powered by a global data model

  • Full visibility into sentiment trends, competitive positioning, and source evolution

  • Granular filtering to zero in on product, market, or campaign-specific performance

Common Use Cases

  • Brand teams: Measure overall presence in LLM responses over time

  • Product marketing: Track sentiment and positioning for specific features or releases

  • Competitive intelligence: Compare brand visibility against competitors in different markets

  • Regional teams: Focus on geographic-specific performance with filtering

Step-by-Step Instructions

  1. Navigate to the Dashboard from the main menu

  2. Select the filters you want to apply (date range, tags, model provider, prompts)

  3. Review analytics across sentiment, competitive positioning, sources, and visibility trends

  4. Drill into specific prompt clusters or geographies for detailed insights

  5. Export or share findings as needed for your team

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