Custom Dashboard Widgets and Filters
Last updated: October 13, 2026
This article explains what each Custom Dashboard widget measures, and how to give one cell its own timeframe or filters. To set up a view, start with 📄 Building your First Custom Dashboard View. For how each metric is calculated, see 📄 Metrics in Rankscale.
Start Here
A view that explains itself: a row of Metric Cards at the top, a chart or two below to show movement, and a Text / Notes cell with your conclusion.
What Each Widget Measures
Widgets are grouped in the picker the same way as below. Open a group to see what each widget shows.
Metric Cards
One headline number for the cell, with a trend when there is enough history.
Visibility Score: how visible your brand is overall, combining how often it appears and how high it ranks. Higher is better.
Sentiment Score: the tone of AI answers when they mention your brand.
Mentions: how many AI answers included your brand. One answer counts once, however often it names you.
Sources: how often pages from your own website appear in the source boxes of AI answers.
Citations: how many source references appear around the answers in scope.
Detection Rate: the share of runs where your brand appeared at all.
Avg Position: your average rank when your brand appears. Lower is better.
Top 3 Visibility: the share of runs where your brand ranked in the top three.
Charts
Movement and breakdowns. These need a medium or large cell to read well.
Performance Over Time: one metric across the timeframe, so you can see whether it is rising, falling or flat. Viewers can switch the metric inside the chart.
Engine Distribution: one metric broken down by AI engine.
Topic Breakdown: one metric broken down by topic.
Share of Voice (Mentions): your share of all brand mentions, compared with your competitors.
Share of Citations: your share of citations, compared with your competitors.
Competitive
Your brand against the competitors you track.
Competitor Leaderboard: your brand and competitors ranked by one metric you choose.
Competitor Chart: your brand and selected competitors on one metric over time.
Competitor Matrix: every brand as a bubble on two metrics you choose in X axis and Y axis (Visibility Score and Sentiment by default). Bubble adds a third metric as bubble size, or choose None for equal dots. Dashed lines mark the middle of the plotted brands, so you see at a glance who is ahead on both. To plot competitors only, deselect your brand under Competitors.
All three can use Share of Voice and Share of Citations as their metric.
Scoped
One metric, narrowed to one engine or one topic.
Engine Metric Card: one metric for one AI engine.
Topic Metric Card: one metric for one topic.
Citations
The sources AI answers cite. Every widget in this group has a Brand setting: All, With Your Brand (only citations that mention your brand) or Without Your Brand (only citations that do not). It works like the same toggle on the Citations tab.
Top Citations: the individual pages cited most often.
Top Domains: the websites cited most often, with all their pages combined.
Citations by Engine: how many citations each AI engine produced.
Citations Over Time: citation volume across the timeframe.
Brand Share of Citations: how citations split between your brand and your competitors.
Brand Distribution (Mentions): the brands that appear most often in citations. Your brand always stays on the chart, even outside the top 10.
Brand Distribution (Unique URLs): the same ranking, counted by distinct cited pages, so a page cited many times counts once. On both Brand Distribution widgets, Stack by splits each bar by citing domain or citation category.
Citations by Category: citations grouped by type of source, such as reviews, editorial pages or forums.
Top Citation Queries: the search terms that produced the most citations.
Citation Coverage: how complete the citation data in this cell is, plus how many domains and brands it contains.
Citations by Region: citations grouped by the region of the search term.
Sentiment
How AI answers describe your brand and your competitors.
Sentiment Breakdown: how many sentiment signals are positive, neutral and negative.
Sentiment Over Time: your brand's sentiment across the timeframe.
Sentiment by Engine: sentiment for each AI engine.
Sentiment Keywords: the words most linked to positive and negative sentiment.
Competitor Sentiment: your brand and competitors ranked by average sentiment.
Web vs Training Sentiment: sentiment from live web sources next to sentiment from what the model already knows.
Sentiment Insight: a written Rankscale Scout summary of your sentiment, with suggested next steps.
Neutral Keywords: words that appear often without pushing sentiment either way.
Shopping
Products and shops in AI shopping results.
Top Products: the products that appear most often.
Top Providers: the shops and marketplaces that appear most often.
Shopping Visibility: shopping appearances over time.
Provider Scorecard: each provider's visibility score, detection rate, average rank and number of items.
Shopping Detection Rate: how often runs returned shopping results at all.
Buybox Winners: the providers that most often won the main product placement.
Top Rated Products: products ranked by average rating. Only products with ratings appear.
Product Price Range: the lowest, highest and average price seen for each product.
Sources
Source boxes in AI answers for one address you choose. Enter a domain, folder or page in the widget's URL setting. Leave it empty to use your brand's website.
Source Coverage: a summary for that address: source boxes matched, appearances, average rank, detection rate and visibility score.
Source Appearances Over Time: how often the address appears over time. Stack by splits it by URL, query or engine.
Top Source URLs: the pages under that address that appear most.
Source Coverage by Engine: how the address does on each AI engine.
Query Source Coverage: the search terms where the address shows up in source boxes.
Query Fanout
The web searches AI engines run in the background while answering your search terms. The same data as the Query fanouts page. See 📄 Understanding the Query fanouts Tab.
Fanout Coverage: the share of runs where engines ran fanout searches, plus unique fanouts and the average per run, each compared with the previous period.
Top Fanout Queries: the fanout searches that come up most often. Detection and Avg Rank describe your brand in the answers that used that search, not the search itself.
Fanout Activity Over Time: fanout searches per day, stacked by engine.
Probed Domains: the websites engines searched directly, with your own sites marked Owned and the change against the previous period.
Appendix Signals: the words engines add to your search terms when they search, as Exact Phrases, Associated Concepts and Words.
Editorial
Text / Notes: your own text, not calculated from data. Use it for conclusions, caveats and next steps.
Giving a Cell Its Own Timeframe or Filters
Every widget follows the dashboard's date picker and filters until you change that for its cell. Use this to compare slices side by side, for example the same widget three times with a different engine in each cell.
Hover over the cell and click the settings icon (Configure cell).
For a different timeframe, open Metrics, clear Use overall settings and pick a Timeframe.
For different filters, choose values under Filters: Topics, Tags, Prompts or Engines.
Click Save in the panel.
The cell now shows its own slice. The rest of the dashboard still follows the date picker and filters.
Note: A filter you leave empty follows the dashboard filter. Some widgets, such as the Competitive and Scoped widgets, have no Metrics section and always use the dashboard's timeframe.
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📄 Building your First Custom Dashboard View