Prompt groups and paraphrases
Why breadth beats repetition, and how a group rolls up into one tracked question.
A prompt group is one intent expressed several ways. “best medical aid in South Africa”, “which medical aid should I get in SA”, and “top rated medical schemes South Africa” are one question a buyer has, and three inputs an engine treats as meaningfully different.
Why the platform models them
Brand-mention outcomes are surprisingly sensitive to phrasing: mention behaviour begins to break down once phrasing similarity drops below roughly 0.60, meaning a paraphrase a human would call identical can flip a brand from present to absent. Measuring one phrasing and reporting it as “how the engine answers this question” overstates what you know.
How it reports
- The group is the tracked question, and its band aggregates every member phrasing.
- Each member stays independently inspectable, so “we win on one phrasing and lose on the other” is visible rather than averaged away.
- Language is a dimension of the group, not a separate prompt. An English and an Afrikaans phrasing of one question belong to one group and report separately within it.
Language explains roughly a third of the variance in AI answers — more than the choice of model, and more than which brand is being asked about. A market with two languages needs both phrasings tracked, not one translated at report time.
See it against your own client list
A working demo runs your prompts, in your market, on live engines — not a sandbox with seeded data. Bring one client brand and three competitors.