group_by. Use it to find where you are strong and where you are missing: one engine that never names you, a category of question where competitors win, a single prompt worth writing a page for.
To look at a single segment rather than all of them, use a
filter instead, e.g. { "field": "platform", "op": "is", "value": "chatgpt" }.
How this example works
- Group by engine, sort by score to rank the engines.
- Group by prompt and keep those where you were never named. Those are the gaps.
- Show
answerson every row: a segment resting on a few answers is not a finding yet.
Reading the segments
prompt_coverageper prompt is 0 or 1, because a prompt either named you at least once or did not. Usemention_rateto see how often.- Per-engine rows don’t average to the headline. Engines answer different numbers of prompts each day; the headline weights every answer once.
- Who beats you on a gap prompt? Add
brands: "all"withgroup_by: ["prompt"]: rows withrank1 andowned: falseshow the competitor that leads each prompt. - The Brand category (“is X any good”, “X reviews”) almost always names you. Filter it out to see how you do on questions that don’t name you first:
{ "not": { "field": "category", "op": "is", "value": "Brand" } }.
There are no region or persona segments: each site is measured from one market, set in the dashboard.
Common follow-ups
Where AI gets its answers
What the engines cite for the prompts you miss.
Read the answers
Pass
prompt_ids to read what each engine actually said.