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Know which buyer questions you’re losing.

Prompts is the list of questions your buyers ask AI, with what came back on every engine you track: recommended, passed over, or handed to a competitor. You’ll know which questions you’re losing, and which ones the engines search for that nobody tracks yet.

The Prompts screen: the tracked questions in focus, grouped under Learn and Decide, each with the engines it was named on and its outcome, with the side panels out of focus.
Every question you track, grouped by where the buyer is, with what each engine answered.

Find exactly which questions you’re losing, and why

Each question you track ends in one of five outcomes, and each outcome has a different fix. The example workspace tracks 20 questions on 4 engines: recommended on 4, named but not picked on 12, and handed to a competitor on 4. Those four are where to start.

The tracked questions on the example workspace: AI tools for legal contract analysis, not picked; which tool tracks contract renewal and termination deadlines, recommended; affordable alternatives to Ironclad, competitor named.
Example dataEach question shows which engines named you, never a score, under the stage of buying it belongs to.
OutcomeWhat happenedWhat fixes it
RecommendedNamed, and put forward as the pickKeep it, and watch that it holds
Named, not pickedIn the list, never the choicePositioning: the sentence that says who you are for
Competitor namedA competitor was put forward and you were notThe comparison the answer already draws, answered on your page
Not namedNot in the answer on any engineA page or a source to win, filed by reason on Answers
No answer storedThe engine returned nothing usable this timeNothing; it is reported, never counted as not named

Match the fix to where the buyer is

Early questions, comparisons and final picks need different work. Losing a learning question to a competitor’s blog means a page you don’t have; being named but not picked in a comparison means a sentence you don’t say. Questions that name your brand are kept apart: they show whether an engine knows you at all, and who it offers instead.

Start from a suggested list

Your first questions are proposed from your site and your category, each with the reason it was picked. After that, the answers suggest more.

Every question, every engine

Each question is asked on every engine you track, three times by default, and each row says which engines named you and which didn’t.

Retiring a question keeps its history

Remove a question and every answer it produced stays on record. Charts break where your list changed, instead of comparing unlike with unlike.

Find the questions nobody is tracking yet

Before an assistant answers, it often searches the web. Prompts shows the searches it actually ran for your questions, and how often: every time, or in 3 of 4 measurements. A search that comes up every time and that nobody tracks is the cheapest question to add, at one credit.

Where search demand is shown beside a question, it is a range such as 100–1k a month, with its source and date, labelled est. It is search volume: nobody publishes how often a question is asked of an assistant, and Praised doesn’t pretend to.

What it does not do

Prompts is the questions you track and what came back. It is not a keyword tool, and these are the claims it refuses.

It does notWhat it does instead
Report how often a question is asked of an assistantShows search volume as a range with source and date where one exists, labelled est.
Invent questionsProposes them from your site, your category and later from the answers, each with the reason
Turn five outcomes into one scoreCounts each outcome apart, because each has a different fix
Compare across a change to your listBreaks the chart where your questions changed and makes no claim across the break

Fair questions

How many questions should I track?
As many distinct questions as your buyers ask, and no more. Distinct questions narrow the margin of error on every rate; repeats of one question do not. The example workspace tracks 20, and every measurement is priced before it starts.
What is a branded question for?
It answers the zero: whether an engine knows your brand at all, how it describes it, and who it offers instead. Branded and unbranded questions are kept apart, because the same rate means different things on each.
Where do suggested questions come from?
From the answers: a question the engines answered on the way to yours, a search they ran while researching you, a topic Trends flagged. Each carries why it was suggested and costs one credit to track.
Do you show search volume?
Where a source exists, as a range with the source and the date, labelled est. Never as a single number, and never as how often a question is asked of an assistant.

Keep going

Find which questions you’re losing.

Measure your brand once, and Prompts shows every question, what each engine answered, and what the engines searched for.