AI search
Prompt share
Prompt share is the proportion of a fixed set of buyer-relevant prompts where a brand is named in the AI assistant’s answer.
What is prompt share?
Prompt share is the proportion of a fixed set of buyer-relevant prompts where a brand is named in the AI assistant’s answer. It is the AI-answer equivalent of share of voice, and it only means something when the prompt set stays fixed between measurements.
Why this is worth knowing
It is currently the most practical way to report AI visibility as a trend rather than as anecdote.
How it works in practice
Measured by running the same prompts on a schedule across the assistants buyers use, recording mentions, sentiment and cited sources, and reporting the rate against named competitors.
The usual mistake
A single run is not a measurement. The same prompt returns different sources on different days, so each prompt needs several runs before the number means anything.
That is the whole of it. Anything more specific depends on the site in front of you.
Where this comes up in the work
It is part of Generative Engine Optimization, and more specifically of AI content governance. Across the rest of the work it shows up in:
- Conversion Rate Optimization, because finding the form field that costs more completions than it collects answers depends on it
- Website Design and Development, in which it shows up as enforcing the performance budget in the pipeline
- AI Automation and Workflows, where it decides using language models where they are reliable and keeping them out of where they are not
- AI Platform Optimization, since deciding what to do when an assistant states something about you that is wrong is only as good as this is
What to check
Two questions that establish whether this is actually in order on a given site:
- Whether it is consistent across templates, or correct only on the page somebody checked
- Whether the measurement that would expose a problem is even being collected
Common questions
Does prompt share affect rankings directly?
It is currently the most practical way to report AI visibility as a trend rather than as anecdote. The honest framing is that it removes a constraint rather than adding a boost.
How is prompt share audited?
Measured by running the same prompts on a schedule across the assistants buyers use, recording mentions, sentiment and cited sources, and reporting the rate against named competitors. The check is cheap; the fix is where the work sits.
Who owns prompt share in a business?
It needs one named owner rather than a shared responsibility. The natural home is Entity and Semantic SEO, since describing products by what they are rather than by what they are called is where the consequence lands.
How much work is prompt share?
Less than people expect to check and sometimes more than they expect to fix. Measured by running the same prompts on a schedule across the assistants buyers use, recording mentions, sentiment and cited sources, and reporting the rate against named competitors. If budget allows only one of these, What should we fix first on a new site? first, then Why did our organic traffic drop? next quarter.
Where does prompt share sit in the priority order?
Before anything that depends on it, which is the test rather than a general ranking. It is currently the most practical way to report AI visibility as a trend rather than as anecdote. Most briefs that mention this also end up touching UTM parameters, and sometimes YMYL.
How do you prove prompt share is worth fixing?
The symptom is usually downstream: it is currently the most practical way to report AI visibility as a trend rather than as anecdote, showing up as something else entirely in the reporting. Teams that get this right have usually read Brand and Creative for Nonprofit and NGO, and argued about Content and Editorial for Nonprofit and NGO.
Begin with the diagnosis, not the pitch
Thirty minutes, the data you already hold, and a straight answer about where the constraint actually is.