AAnswerEng

Measures how often an online store gets recommended when shoppers ask AI assistants — ChatGPT, Perplexity, Claude, and others — for products, then turns the gaps into concrete fixes. Every number carries its 95% confidence interval.

Demo · sample data
Store
cascade-supply
Run #42 · Jul 20, 2026 · complete · 96% coverage
Answer-engine visibility
42% (95% CI 36–48%)

Visibility trend

Pooled visibility rate across engines, last 8 weekly runs.

Shaded band is the 95% confidence interval.

Share of voice

How often each brand is named in product answers — you vs. competitors.

By answer engine

Visibility varies by model. Sampled across four engines each run.

Fix queue

Guardrailed, source-grounded suggestions — highest-impact first.

A Fullspec Studio build — AWS serverless (Step Functions · Bedrock · Aurora · CDK). View the engine on GitHub →