These metrics summarize the scope of your monitoring and appear on the Home page. Full metric definitions are also available wherever you build views in Explorer.

The total number of active prompts being monitored. In Explorer, this corresponds to the Unique Prompts metric.

Counts active custom prompt variants (not Seed Prompts) that have at least one response matching your selected filters (persona, tags, topics, date range, etc.). Prompts with no matching responses in the selected period aren't counted.

The total number of AI responses collected during the selected time period. In Explorer, this corresponds to the Total Responses metric.

Counts distinct observations that:

Which AI platforms produced responses during the selected period.

Identifies all unique AI assistants present in observations matching your filters. Note: Grok no longer contributes citation data, though it still contributes to presence, ranking, and sentiment metrics.

These metrics are shown over time and automatically aggregated based on the selected date range. Rate and average charts in Explorer also show the underlying sample size in the tooltip, for example "43% (37 of 86 responses)".

In Explorer, this metric is labeled Mentions Rate (API field: brand_presence_percentage). It's the percentage of AI responses whose text mentions your brand by name. Citations of your brand's domain don't count here, see Citations Rate below for that.

How often your brand and competitors appear in AI responses over time. See Understanding Competitive Presence in Scrunch for a deeper look.

Brand presence uses the Mentions Rate metric (API field: brand_presence_percentage); competitor presence uses the same detection scoped to each competitor (API field: competitor_presence_percentage).

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

Same as Brand Presence.

Where your brand appears in AI responses. In Explorer, this is the Position Average metric (API field: brand_position_score).

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

How AI describes your brand. In Explorer, this is the Sentiment Average metric (API field: brand_sentiment_score). See Understanding Sentiment in Scrunch for more detail.

Percentages are calculated using only observations where sentiment is available:

How often your brand is cited as a source, compared to competitors and other sources. In Explorer, this is the Citations Rate metric (API field: brand_citation_rate). This metric measures source attribution, showing how often your website contributes to a response. See Understanding Citation Metrics in Scrunch for the full breakdown of citation metrics.

Daily, weekly, monthly, quarterly, or yearly, depending on the selected date range.

Last 90 days.

This keeps charts readable while preserving trend accuracy.

All metrics respect applied filters, including:

In Explorer, you can combine up to 5 metrics, 3 breakdowns, and 8 filters in a single view.

Sometimes, you may notice discrepancies in the Citations Rate metric (API field: brand_citation_rate), such as a 0% citation rate at the dashboard level, even when prompt-level citations show percentages. This issue often arises due to the configuration of the primary website in the AI Context tab.

To ensure all valid paths are recognized and citation metrics align across the dashboard and prompt level:

These metrics explain how sources are cited by AI assistants and how citation influence is calculated across URLs and domains. The legacy Citations dashboard has been retired; these metrics and breakdowns now live in Explorer.

In the legacy Citations dashboard, the citations table could be grouped by Domain or URL. In Explorer, the equivalent views are the Citation Domain and Citation URL breakdowns. Each row represents a single source and includes the following metrics.

The number of unique prompts that had cited this source at least once during the selected time period, as shown in the legacy Citations dashboard.

This distinct-prompt count isn't a standalone pickable metric in Explorer's citation catalog, which offers Citations Rate, Citations Share of Voice, Citations Total, Citations Unique Responses, and Citations Unique Domains.

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

Count of distinct observations that include a citation to the source. API field: citation_unique_responses (or brand_citation_unique_responses / competitor_citation_unique_responses when scoped to an owner).

Formula:

COUNT(DISTINCT observation_id)

In the legacy Citations dashboard, this was called Citation Consistency: the percentage of responses that cited a source, out of all responses that cited any source. In Explorer, the equivalent metric is Citations Share of Voice (API field: brand_citation_share_of_voice for your brand, competitor_citation_share_of_voice for competitors).

(Responses citing a source owned by this owner ÷ Responses citing any source) × 100

A composite score that reflects both how often a source is cited and how broadly it appears across prompts. This is the Influence Score metric in Explorer (API field: weighted_index, entity-agnostic).

(Citations of the source ÷ Total citations in the group) × Distinct prompts citing it

This favors sources that are cited frequently and across many different prompts. Influence Score is only meaningful alongside a domain or source URL breakdown.

Each source is classified into one of three ownership categories, using the owner field.

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

Sources owned by configured competitors.

Sources not owned by your brand or competitors.

Ownership is determined using a hierarchical matching process:

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 Other.

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

In the legacy Citations dashboard, this widget showed the top five cited domains by total response count, with all remaining domains grouped into an "Other" category. This view now lives in Explorer's Citation Domain breakdown, which supports more than five domains at once.

Domains are ranked by total citation volume using the Citations Total metric (API field: citation_count), or by the distinct (response, domain) count (API field: citation_unique_response_domains) when reconciling with the legacy dashboard's grain.

Formula:

COUNT(DISTINCT observation_id, domain) grouped by domain, or SUM(citation_count) grouped by domain.

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

For each owner type:

(Responses citing a source owned by this owner ÷ Responses citing any source) × 100

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

How brand, competitor, and other citation percentages change over time.

For each time period:

(Responses citing this owner's source ÷ Responses citing any source, for that period) × 100

Indicates whether the cited source's page content explicitly mentions your brand or competitors. In Explorer, this is the Citation Mention Rate metric (API field: brand_citation_mention_rate / competitor_citation_mention_rate).

Displays the topic tag associated with the cited source's domain (API field: source_topic). Domains without a tag are shown as "Untagged".

Shows whether AXP is currently serving optimized content for the cited page (API field: content_delivery_status). Values are checked in this order:

See Understanding the Content Delivery (AXP) tab for more on how AXP optimizes cited pages.

For domains containing brand, competitor, and other-owned URLs, multiple owner labels are shown with explanatory tooltips.