AI Competitive Index
What is AI Competitive Index?
AI competitive index is a composite score that ranks your brand against competitors based on AI visibility, mention frequency, sentiment, and citation share across all monitored models. It collapses multiple metrics into a single competitive ranking.
One number, full picture
Individual metrics tell you specific things. Mention rate tells you frequency. Sentiment tells you quality. Share of voice tells you relative presence. The competitive index rolls them all up into a single, comparable score.
Why a composite matters:
- A brand with high mentions but negative sentiment shouldn't rank above a brand with moderate mentions and strong recommendations
- A brand dominating one model but invisible on three others shouldn't rank the same as one with consistent cross-model presence
- A brand with broad prompt coverage but shallow mentions isn't equivalent to one with deep authority on key prompts
The competitive index weights these dimensions and produces a ranked leaderboard.
Components of the index
The competitive index synthesizes multiple signals:
| Component | Weight | What it captures |
|---|---|---|
| Visibility score | High | Overall AI presence strength |
| Mention rate | High | Frequency of brand mentions |
| Sentiment score | Medium | Quality of brand mentions |
| Prompt coverage | Medium | Breadth across buyer queries |
| Citation share | Medium | Sources referencing your brand |
| Position in response | Low-Medium | Where in the answer you appear |
Each component addresses a different dimension of AI competitiveness. A brand that scores well across all dimensions has a durable advantage.
Using the index strategically
The competitive index is most powerful as a diagnostic tool. Instead of asking "how are we doing?" it lets you ask "where are we losing and why?"
Strategic uses:
- Trend analysis: is your competitive position improving or declining week over week?
- Gap diagnosis: if a competitor outranks you, which specific components are they winning on?
- Investment prioritization: should you invest in content optimization, source authority building, or technical optimization?
- Board reporting: a single competitive ranking that executives can track over time
- Goal setting: "move from #4 to #2 in our category's AI competitive index this quarter"
Prompt Metrics generates your competitive index automatically, breaking it down by model, prompt cluster, and time period.
Frequently Asked Questions
It combines AI visibility score, mention rate, sentiment score, and citation frequency across all models. Each component is weighted and normalized to produce a composite score for each brand in your competitive set.
AI share of voice measures relative mention frequency, specifically who gets talked about most. The competitive index is broader: it includes sentiment quality, citation strength, prompt coverage breadth, and positioning depth.
Weekly. AI model outputs shift with training updates, and your competitors are actively optimizing. Prompt Metrics updates competitive rankings automatically with each scan cycle.
Common triggers: a competitor publishes authoritative content that AI models start citing, a model update changes recommendation patterns, or a competitor earns significant coverage on high-authority domains like G2 or industry publications. Weekly monitoring catches these early.