How does your AI visibility stack up?
Illustrative benchmark interface using synthetic/modelled data. This page is a product demonstration, not observed market research or verified customer performance.
Slice AI Visibility Score and Recommendation Share by industry, competitor, location, revenue band and company size — across the 8 tracked AI engines.
Illustrative benchmark demo
These figures demonstrate structure and population-level patterns. Real cohorts are computed from live, verified audits in your account.
Headline benchmark metrics
AI Visibility Score™
Your average appearance rate in SaaS across the 8 tracked engines.
AI Recommendation Share™
Share of AI answers in SaaS that recommend your brand vs. cohort.
Competitive Benchmark Visualization
Comparative analysis of visibility and recommendation share across selected industry cohorts.
Cohort comparison — SaaS
125 matching slices averaged per competitor.
Illustrative scenario · Fictional brand data for demonstration only
| Competitor | AI Visibility Score | Recommendation Share | vs. leader |
|---|---|---|---|
| Your brand | 68 | 37% | -8 |
| Market leader | 76 | 42% | 0 |
| Challenger | 63 | 33% | -13 |
| Niche specialist | 58 | 32% | -18 |
| Legacy incumbent | 53 | 30% | -23 |
Dataset: 7,500 cohort rows across 10 industries × 5 competitors × 6 locations × 5 revenue bands × 5 company sizes.
Benchmark Methodology
Benchmarks are generated using a synthetic prompt corpus representing 1.2M+ simulated interactions. These are illustrative baselines designed to show the distribution of AI Visibility Scores across categories. For verified data reflecting your specific brand and niche, use the private audit environment.