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Scrunch Metrics Guide

This guide explains how each metric in your Scrunch brand is calculated, helping you understand what the numbers mean and how they're derived from your AI monitoring data.

Updated this week

Dashboard Metrics

These metrics summarize the scope of your monitoring.

Prompts

What it measures

The total number of active prompts being monitored.

How it’s calculated

Counts all active custom prompt variants (not Seed Prompts) that match your selected filters (persona, tags, topics, date range, etc.).


Responses

What it measures

The total number of AI responses collected during the selected time period.

How it’s calculated

Counts distinct observations that:

  • Are linked to an active custom prompt variant

  • Fall within the selected date range

  • Come from a supported AI platform

  • Match applied filters (persona, tags, platform, etc.)


Platforms

What it shows

Which AI platforms produced responses during the selected period.

How it’s determined

Identifies all unique AI assistants present in observations matching your filters.


Time Series Metrics

These metrics are shown over time and automatically aggregated based on the selected date range.

Brand Presence

What it measures

The percentage of AI responses where your brand is mentioned.

How it’s calculated

  1. For each time period:

    • Total observations = all responses

    • Present observations = responses where your brand is detected

  2. Formula:

    (Present / Total) × 100

Time aggregation

  • 0 to 14 days: Daily

  • 15 to 90 days: Weekly

  • 90+ days: Monthly


Competitive Presence

What it measures

How often your brand and competitors appear in AI responses over time.

How it’s calculated

  • Brand presence: observations where is_brand_present = TRUE

  • Competitor presence: observations where each competitor is detected

  • Denominator for both is total observations for your prompts

Each brand or competitor is shown as its own time series of raw counts.

Time aggregation

Same as Brand Presence.


Position

What it measures

Where your brand appears in AI responses.

Positions

  • Top: mentioned in the top 25% of the response

  • Middle: mentioned in the middle 50% of the response

  • Bottom: mentioned in the bottom 25% of the response

  • Missing: position not detected

How it’s calculated

Percentages are calculated using only observations where your brand is present:

  • Top % = Top / Total excluding missing

  • Middle % = Middle / Total excluding missing

  • Bottom % = Bottom / Total excluding missing

Position metrics only include responses where your brand is present.


Sentiment

What it measures

How AI describes your brand.

Sentiment types

  • Positive

  • Mixed

  • Negative

  • Missing

How it’s calculated

Percentages are calculated using only observations where sentiment is available:

  • Positive % = Positive / Total excluding missing

  • Mixed % = Mixed / Total excluding missing

  • Negative % = Negative / Total excluding missing

Sentiment metrics only include responses where your brand is present.


Citations

What it measures

How often your brand is cited as a source, compared to competitors and third parties.

Citation types

  • Brand: your registered domains from the Context tab

  • Competitor: competitor domains

  • Other: third-party sources

How it’s calculated

  1. Each citation URL is classified by owner

  2. Counts are aggregated by time period

  3. Brand citation % =

    (Brand citation observations / Total observations) × 100

Time aggregation

Daily, weekly, or monthly depending on date range.


Time Ranges and Aggregation

Default range

Last 90 days.

Automatic aggregation

  • 0 to 14 days: Daily

  • 15 to 90 days: Weekly

  • 91+ days: Monthly

This keeps charts readable while preserving trend accuracy.


Filter Behavior

All metrics respect applied filters, including:

  • Persona

  • Tags

  • Topics

  • Platform

  • Category

  • Branded vs non-branded

  • Favorites

  • Date range

  • Brand presence

  • Competitor presence


Notes and Caveats

  • Metrics are calculated in real time when the dashboard loads or filters change

  • “Missing” values appear when position or sentiment cannot be determined

  • Only AI platforms marked as visible for your brand are included

If something looks unexpected, contact support with the metric name and date range you’re reviewing.


Citations Tab Metrics

These metrics explain how sources are cited by AI assistants and how citation influence is calculated across URLs and domains.


Main Table Metrics

The citations table can be grouped by Domain or URL. Each row represents a single source and includes the following metrics.


Prompts

What it measures

The number of unique prompts that have cited this source at least once during the selected time period.

How it’s calculated

Count of distinct prompt IDs where at least one response cited the source.

Formula:

COUNT(DISTINCT prompt_id)


Responses

What it measures

The total number of AI responses that cited this source during the selected time period.

How it’s calculated

Count of distinct observations that include a citation to the source.

Formula:

COUNT(DISTINCT observation_id)


Citation Consistency

What it measures

How consistently a source is cited across AI responses.

How it’s calculated

(Number of responses that cited this source ÷ Total number of responses that cited any source) × 100


Influence Score

What it measures

A composite score that reflects both how often a source is cited and how broadly it appears across prompts.

How it’s calculated

Citation Consistency (%) × Number of Unique Prompts

This favors sources that are cited frequently and across many different prompts.


Owner Type Classification

Each source is classified into one of three ownership categories.


Owner Types

Brand

Sources owned by your brand, matched against configured brand websites.

Competitor

Sources owned by configured competitors.

Other (Third party)

Sources not owned by your brand or competitors.


Domain Ownership Logic

Ownership is determined using a hierarchical matching process:

  1. URL-level match for brand websites

  2. URL-level match for competitor websites

  3. Domain match for primary brand website

  4. Domain match for alternative brand websites

  5. Domain match for competitor websites

  6. Default to third party if no match is found


Conservative Domain Classification

When grouping by domain, all URLs within a domain must match the same owner type.

Logic:

If all URLs in a domain have the same owner type, the domain is assigned that owner.

If URLs map to multiple owners, the domain is classified as Third party.

This prevents over-attribution on shared platforms like social networks or publishing sites.


Domain-Level Visualizations

Top Domains Cited

What it shows

The top five cited domains by total response count.

How it’s calculated

Domains are ranked by total citation volume. All remaining domains are grouped into an Other category.

Formula:

SUM(response_count) grouped by domain


Citations by Owner

What it shows

The percentage breakdown of citations by owner type (brand, competitor, third party).

How it’s calculated

For each owner type:

(Owner citation count ÷ Total citation count) × 100

Percentages are rounded so the final values sum to 100%.


Owner Time Series

What it shows

How brand, competitor, and third-party citation percentages change over time.

How it’s calculated

For each time period:

(Owner citation count for the period ÷ Total citation count for the period) × 100


Additional Metadata

Brand and Competitor Mentions

Indicates whether the source content explicitly mentions your brand or competitors.


Topics

Displays topics associated with the cited source or domain.


Mixed Ownership Indicators

For domains containing both brand-owned and third-party URLs, multiple owner labels are shown with explanatory tooltips.


Notes

  • All citation metrics respect applied filters (date range, persona, topic, tags, platform, etc.)

  • Citations support both URL-level and domain-level grouping with drill-down

  • Time aggregation (daily, weekly, monthly) adjusts automatically based on the selected date range

  • Summary metadata (top domains and owner breakdowns) is calculated independently to remain consistent across pagination

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