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Metrics

Here are some of the metrics can derive using this model

Brandon Brown avatar
Written by Brandon Brown
Updated over 3 weeks ago

Metric

Description

Insights

Example

Strength

A 0-100 score representing the overall strength of a Relationship between two entities, calculated from other metrics.

At a glance, is this relationship strong or weak? Which connections should we focus on?

"Our VALIDATES relationship with Runner's World has a strength of 85, while our one with Competitor Blog is only 20. Let's focus our PR efforts on Runner's World."

Visibility Score

A single, comprehensive score (typically 0-100+) for each individual Mention. It combines a mention's prominence (did it appear at the top?), its role (was it a recommendation or just a citation?), and its sentiment.

How impactful was this specific mention? This moves beyond counting mentions to weighing their actual quality and impact.

A #1 recommendation for our brand at the top of a response might get a Visibility Score of 95. A passing citation at the bottom of the page might only score a 5. This lets us focus on the mentions that truly matter.

Sentiment

A -100 to +100 score on each Mention indicating the emotional tone of the language used.

Is the AI talking about us positively, negatively, or neutrally?

"Mentions of our new product have an average sentiment of +75, which is great. But mentions comparing us to our main competitor have a sentiment of -10, which we need to investigate."

Sentiment Spread

The difference in average sentiment scores between our customer and a competitor when they are mentioned together.

When we're compared side-by-side, who does the AI portray more favorably?

"Our sentiment spread vs. Adidas is +25, meaning conversations that mention both of us are significantly more positive for our brand."

Share of Voice

The percentage of mentions our customer's brand gets compared to a competitor within a specific context (e.g., for a certain keyword or topic).

In a head-to-head matchup on a topic we care about, are we dominating the conversation or is our competitor?

"For the prompt 'best watches under $200,' our SOV against Fossil is 65%, which means we are winning that crucial keyword."

SOV by Intent

Share of Voice, but segmented by the INTENT tag of the prompts (Informational, Comparative, Recommendation).

"Are we winning the early-funnel informational queries but losing the high-value recommendation queries to our competitor?"

A brand might have a 70% SOV for "What is X?" but only a 10% SOV for "What is the best X to buy?", indicating a major conversion-funnel problem.

Co-Occurrence Count

A simple count of how many times two entities are mentioned together in the same Observation.

A basic measure of association. Are these two brands frequently talked about in the same breath?

"We have a coOccurrenceCount of 500 with 'Microsoft Teams,' confirming they are our most frequently associated competitor."

Observation Count

The total number of observations providing evidence for a specific Relationship.

How much data is this relationship based on? Is it a new trend based on a few observations or a long-standing one based on thousands?

A new CONTRADICTS relationship with an observationCount of only 5 might just be a blip, while one with a count of 500 is a serious, persistent issue.

Momentum

The rate of change (the "speed") of a relationship's strength score over a set period (e.g., the last 30 days).

Is this relationship getting stronger or weaker, and how fast? Is a new competitor emerging quickly?

"The strength of our COMPETES_WITH relationship with that new startup has a high positive momentum, telling us they are a rapidly growing threat."

Volatility

A measure of how stable or unstable a relationship's strength score is over time. High volatility means the score fluctuates wildly.

Is this a consistent, stable relationship, or is it unpredictable and event-driven?

"The negative relationship related to our server outage was highly volatile, spiking for a week and then disappearing. We don't need to worry about it long-term."

Eigenvector Centrality

A measure of an entity's influence. A high score means an entity is connected to other highly influential entities (like Google's PageRank).

Who are the true "power players" and kingmakers in our ecosystem, beyond just raw mention counts?

"A small, niche blog might have a higher centrality score than Forbes if it's the first to review products that then get picked up by every other major publication. This blog is a key influencer."

Betweenness Centrality

Measures how often an entity acts as a "bridge" or "gatekeeper" on the shortest path between two other entities.

What ideas, people, or publications are crucial "connectors" that link us to audiences or concepts we want to own?

"The CONCEPT of 'Data Privacy' might be the main bridge connecting software companies to the 'Enterprise CIO' persona. To reach CIOs, we must own the 'Data Privacy' conversation."

Relative Strength Index

An advanced momentum indicator (0-100) that measures if a relationship's recent strengthening is sustainable or if it's "over-hyped" and likely to cool down.

Is this sudden positive press a real, sustainable trend, or just a temporary spike that we shouldn't over-invest in?

"A celebrity mentioned our product, and our affinity-to relationship strength shot up to 95 with an RSI of 98. This signals the hype is likely temporary and will settle down."

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