Commercially focused question sampling
Queries are scored for commercial intent, relevance, strategic value, funnel stage, differentiation potential, testability, and likely business value.
Methodology
A transparent benchmark, not a universal ranking score.
AI answers are probabilistic. The goal is not to pretend otherwise; it is to measure a defined market question set consistently enough to make better decisions.
Controlled provider conditions
Every run records provider, model, surface, country, language, repetition, prompt version, timestamps, tokens, cost, status, and raw response.
Evidence before inference
Mentions, positions, citations, page evidence, and competitor sources are shown separately from the system’s interpretation of the gap.
Confidence governs priority
Provider agreement, repetitions, entity matching, extraction quality, and result consistency determine confidence. Low-confidence findings cannot become high-priority actions automatically.
Visible formula
The convenience index is configurable.
Mention rate × 30% + recommendation rate × 35% + owned citation rate × 15% + position score × 20% − accuracy risk × 15%.
Position weights
#11.00
#20.80
#30.60
#40.40
#5+0.20