How to Measure AEO: KPIs and Metrics That Matter
The key performance indicators for AI visibility. What to track, how to measure it, and benchmarks for success.
Chris Poka
Founder
You can't improve what you don't measure. AEO introduces new metrics that go beyond traditional SEO KPIs. Here's what to track and why.
Core AEO Metrics
1. AI Visibility Score
A composite score (0-100) measuring how frequently and prominently your brand appears in AI responses for relevant queries. This is your north star metric for AEO.
2. Citation Rate
How often AI models mention your brand when answering queries in your category. Track this across individual AI engines (ChatGPT, Claude, Perplexity) and as an aggregate.
3. Recommendation Position
When AI lists multiple options, where does your brand appear? First recommendation gets significantly more user attention than third or fourth.
4. Sentiment Score
What does AI say about your brand? Track whether mentions are positive, neutral, or negative, and monitor for accuracy issues.
5. Share of Voice
What percentage of AI recommendations in your category include your brand vs. competitors?
6. Query Coverage
How many relevant queries trigger a mention of your brand? Expanding coverage means being recommended for more use cases and scenarios.
Benchmarks
| Metric | Starter | Good | Excellent |
|---|---|---|---|
| Visibility Score | 20-40 | 40-70 | 70+ |
| Citation Rate | 10-25% | 25-50% | 50%+ |
| Share of Voice | 5-15% | 15-30% | 30%+ |
How Elynn Tracks These Metrics
Elynn automatically tracks all of these metrics across multiple AI engines, updates your scores daily (or in real-time on Enterprise), and provides historical trends so you can measure the impact of your optimizations.
Get your baseline scores free or explore plans for ongoing tracking.