AI Citation Score — User Guide
NordicPulse AI's tool for measuring how AI engines cite your brand over time.
What is AI Citation Score?
AI Citation Score (ACS) measures how strongly your brand is cited in AI answers. You observe a real AI answer and record four sub-scores — Visibility (S), Position (P), Source diversity (D), and Tone & accuracy (T). The tool computes the score in code, never by guessing.
How to use the tool
1. Choose a project
Pick the project (brand) you are tracking at the top of the page. Each run is stored on this project.
2. Create a run
Click New run. Give it a name (e.g. "June 2026 — Baseline") and pick a market. Add one or more prompts: type the prompt, choose category and platform, and pick the rubric value for S, P, D, and T based on the actual AI answer.
3. Compute ACS
Click Compute ACS (10 credits). The score is computed and you are taken to the dashboard.
Understanding the results
- cACS — composite score (intent-weighted average) with a tier badge.
- S/P/D/T radar — strengths and weaknesses per component.
- Raw vs adjusted — raw score vs market-adjusted score, shown separately.
- Change — delta against the previous run.
- Evidence — the actual AI answer and cited URLs per prompt.
Cost
10 credits per completed run. The tool calls no paid API — you run the prompts yourself.
Data integrity
The score is computed deterministically in code from your observations. The AI model never generates the number. Sub-scores are inspectable beside the score.
Tips
- Use the same prompt set on repeat tests so changes are real.
- Record evidence (answer excerpt + URLs) for traceability.
Related tools
Brand Stickiness Score, AEO Watchtower, Dark Traffic Estimator, AI Citation Cluster.
Last updated 2026-06-14