how i decide which missed ai prompts are actually worth fixing
i’m trying to stop treating every missed ai prompt like it has the same value.
we had hundreds of missed prompts, and my first reaction was basically:
“ok we need to fix all of this”
but that gets messy fast.
so now i’m grouping missed prompts into buckets:
- high intent comparison example: “best x for startups”, “x vs y”, “alternatives to y”
- use-case prompts example: “tool for doing x”, “how to solve y”
- proof/source gaps ai trusts reddit, listicles, review sites, partner pages, docs, etc. more than our own site
- bad-fit/noise prompts stuff we probably should not care about yet
then for each bucket i ask:
do we already have a page for this?
does the page answer the prompt directly?
who is ai citing instead?
is the fix on-site content or third-party proof?
is this worth fixing this week?
the main change for me is not “track more prompts.”
it’s turning missed prompts into a small weekly action list.
right now my rule is: pick 3 fixes per week, ship them, then re-check the same prompts later.
are you fixing by volume, intent, competitor gap, or citation/source gap?