A number you can actually trust.
AI answers change from run to run. Most tools hand you one confident-looking percentage anyway β which is exactly why buyers distrust the category. Seencite reports every rate with its confidence interval and sample size, and tells you when a change is real versus noise.
Confidence intervals
Every visibility and share-of-voice rate ships with a band and the number of samples behind it. No fake precision β you see how sure we are.
Drift isolation
Was it you, or did the model change? We track a control cohort so category-wide drift is separated from your actual progress.
Significant vs noise
Each metric flags whether a move is statistically meaningful or within run-to-run variance, so you donβt chase ghosts.
Methodology in the open
How we run prompts, how many times, and how we score is documented in-product. The transparency the category is missing.
Trust is the wedge
The whole AEO category has a credibility problem: non-reproducible numbers and no root cause. In a market accused of making things up, being honest on purpose is a differentiator β itβs what turns a skeptical buyer into a paying one.
See your honest AI-visibility number
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