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The Pharos dashboard is the central view for your brand’s AI presence. Every time Pharos runs an analysis, it queries AI platforms such as ChatGPT, Gemini, and Perplexity using the prompts you have configured, then aggregates the results into the four tabs described below. Use the date range selector and competitor filter to focus on the window and comparison set that matter most to you.

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Filters and controls

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Date range

The date picker in the top-right corner of the dashboard controls which analysis window all tabs draw from. Choose from the preset options or pick a custom range.
PresetWindow
Last 7 days7 days including today
Last 14 days14 days including today
Last 30 days30 days including today
Last 60 days60 days
Last 90 days90 days
Last 6 months180 days
Last 12 months365 days
All timeUp to 2 years of history
Custom rangeAny start and end date you choose
Your selection is saved per brand so it persists when you return.

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Competitor filter

Click the competitor filter button to show or hide specific competitors across all dashboard charts. This is useful when you want to isolate a head-to-head comparison or reduce visual noise in the trend lines.

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Last analyzed

A timestamp in the header shows when the most recent analysis completed. Hover over it to see the exact date and time.

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Export CSV

Click Export CSV to download a snapshot of the currently visible data — visibility scores, citation counts, sentiment scores, and brand traits — for the selected date range. The export is disabled until at least one analysis has completed.

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Dashboard tabs

The Overview tab gives you a summary of your brand’s AI performance for the selected period. It includes:
  • Visibility Score — a 0–100 score representing how often your brand appears in AI-generated responses for your tracked prompts. A higher score means AI platforms mention your brand more frequently and prominently. The score is derived from your organic mention rate (non-branded queries only), citation rate, share of voice, and average semantic rank.
  • Organic mention rate — the percentage of non-branded queries where your brand appears. This is the most actionable signal because it measures true discovery rather than queries that already include your brand name.
  • Citation count — the number of responses where an AI platform linked to your domain.
  • Trend chart — daily visibility score over the selected window, with your brand and selected competitors plotted together.
  • Provider breakdown — per-platform (ChatGPT, Gemini, Perplexity, etc.) mention rates so you can see where you are strongest and weakest.
The Visibility Score requires at least one completed analysis to populate. If you just added prompts, allow 15–30 minutes for the first run to finish.

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Understanding the Visibility Score

The Visibility Score is a 0–100 composite metric that measures how discoverable your brand is across AI platforms. It weights four signals:
How often your brand appears in responses to non-branded queries — queries that do not already contain your brand name. This measures true organic discovery and is the primary signal in the score. A high organic mention rate means AI platforms recommend your brand without being explicitly asked about it.
Your brand’s proportion of total brand mentions across all queries where any brand was mentioned. This gives a competitive sense of how prominent you are relative to alternatives.
When your brand appears in a response, at what position does it appear? Rank 1 means your brand is the first or most prominently featured recommendation. This is derived from semantic position analysis of the response text, not a list index.
The proportion of responses from citation-capable platforms that include a link to your domain. Citations signal that AI platforms trust your content enough to surface it as a reference.
Scores with fewer than five analyses per prompt have low statistical confidence and may shift significantly as more data accumulates. Treat early scores as directional rather than definitive.