Academy · Global

How to Filter Your Data by AI Model, Country, Tag & Date in AmICited

Use the global filter bar in AmICited — AI Model, Country, Tag and Date range — to rescope every dashboard, chart and table to exactly the slice of data you want to analyze.

2 min read · Medium priority

Every number in AmICited respects one control: the global filter bar at the top of the app. AI Model, Country, Tag and Date range rescope the entire product at once — so learning these filters is the key to reading every other view correctly.

The global filter bar: AI Model, Country, Tag and Date range

Important
These filters apply everywhere — Dashboard, Prompts, Sources, Competitors, all of it. If a metric looks surprising, check the filter bar first: a narrowed model or date range is the usual explanation.

Where to find it

It’s the row of controls in the top bar, present on every page: All AI Models, All countries, All tags and a date range (e.g. Last 30 days), next to the refresh button and + New prompt.

What each filter does

  • AI Model — scope to one engine (ChatGPT, Perplexity, Gemini, Google AI Overview) or all. Essential for seeing per-engine strengths and gaps.
  • Country — scope to a market, so multi-region tracking doesn’t blur together.
  • Tag — scope to a group of prompts you’ve tagged (by campaign, theme or funnel stage).
  • Date range — set the time window every chart and trend is calculated over.

How to use it

  1. Change one filter at a time. When comparing numbers, adjust a single control so you know exactly what moved the figure.
  2. Diagnose per engine. Switch AI Model to each engine in turn to find where you’re strong and where you’re invisible.
  3. Segment by market and theme. Combine Country and Tag to answer focused questions like “how do my pricing prompts perform in the US on Perplexity?”
  4. Set the right window. Widen the Date range for long-term trends, narrow it to inspect a recent change.

Master the filter bar and every other feature in this Academy becomes sharper — because you’ll always know exactly which slice of data you’re looking at.

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