Reverse AI Search

From AI keyword gap to content brief: turning gaps into a publishing plan

A gap list is a diagnosis, not a plan. Here's the workflow that turns the queries your competitors win — and you don't — into prioritised, intent-matched briefs.

Updated May 20267 min read
MentionRadar TeamWe turn the query–domain index into actionable gap lists you can publish against.
The short answer

An AI keyword gap is a list of queries your competitors are cited on by ChatGPT, Gemini or Grok and you are not. On its own it’s a diagnosis; the value comes from converting it into a publishing plan. The workflow is: pull the gap list, label each query by intent and sentiment, prioritise by how close the buyer is to deciding, then translate each high-priority query into a brief that names the angle, the page type, the competitors to beat, and the proof the answer needs. The output is an ordered backlog — not “write more content” but “publish this page, this way, to win this specific question.” Because AI citations are volatile, you then track the queries you targeted so you can see when a brief actually earns the citation and when it doesn’t. The gap tells you where to aim; the brief tells you what to fire; the tracking tells you whether you hit.

Why doesn’t a gap list publish itself?

An AI keyword gap tells you which questions a competitor is cited on and you aren’t. That’s a precise diagnosis — but a list of queries doesn’t tell you what to write, which to do first, or what a winning answer looks like. The translation step is where most teams stall: they have the gap and still default to vague “more content.” A brief is the bridge from a query you want to win to a page that can win it.

What’s the workflow, step by step?

  1. Pull the gap list. Run your domain and each key competitor through reverse AI search and isolate the queries where they are cited on ChatGPT, Gemini or Grok and you are not.
  2. Label intent. Tag each query discovery, best-of, alternatives or pricing using the intent taxonomy. This drives everything downstream.
  3. Check sentiment on adjacent wins. Where the competitor is cited, confirm they’re recommended rather than warned against — see sentiment in AI citations — so you don’t chase a slot that’s a liability.
  4. Prioritise. Rank by buyer proximity: pricing and alternatives gaps first, discovery last. Within a tier, prefer queries where several competitors cluster — that signals a question the category cares about.
  5. Identify who to beat. For each query, note the domains currently cited. That’s your competitor query overlap and your evidence for what a winning answer must contain.
  6. Write the brief. Turn each prioritised query into an angle, a page type, and the proof the answer needs (data, structure, comparison).
  7. Publish and track. Ship the page, then watch the target query on a cadence to see whether you earn the citation.

What does a gap-to-brief mapping look like?

The table below shows how three illustrative gap queries become briefs. The queries are example phrasings only, not measured data — the point is the mapping, not the rows.

Mapping gap queries to briefs (example phrasings — illustrative only)
Gap queryIntentBrief anglePage type
queries like “best X for small agencies”Best-ofDefinitive shortlist where you make the case for your own fit; lead with the use case the rivals miss.Ranked list / buyer's guide.
queries like “alternatives to Z”AlternativesHonest comparison positioning you as the credible substitute; concede where Z wins, win where it matters.Alternatives / comparison page.
queries like “X pricing explained”PricingTransparent pricing breakdown with the total-cost detail buyers actually ask for.Pricing explainer.
queries like “how does X work”DiscoveryClear, extractable explainer that earns early-funnel awareness without over-investing.Concept / how-it-works page.

How many briefs per query?

Don’t assume one query equals one page. Cluster related gap queries with the same intent and answer shape into a single comprehensive page, and split out distinct high-intent questions that deserve their own. Read your gap list the same way you read your full report — column by column, using the field-by-field guide — so the briefs reflect intent and competition, not just volume.

Why publishing isn’t the last step

A brief is a hypothesis: “this page, this way, should win this question.” You only know if it worked by watching the query after you ship. Because citations are volatile, track the targets on a cadence — a brief that earns a citation this month can lose it next, and a brief that didn’t land needs a second look at why the model still prefers a competitor. That measurement loop is what a monitored project gives you.

Turn your gaps into a plan

Run the free Domain Check on your domain and your competitors to build the gap list across ChatGPT, Gemini and Grok, then work it through the steps above into a prioritised brief backlog.

Frequently asked questions

What’s the difference between a gap list and a content plan?
A gap list is the raw set of queries you’re missing. A content plan is that list prioritised by intent and turned into specific briefs — angle, page type, competitors to beat. The gap is the input; the plan is the work.
Which gaps should I write against first?
The high-intent ones where a buyer is close to deciding — pricing and alternatives gaps before discovery gaps. Use the intent taxonomy to rank them.
Does one brief equal one page?
Often, but not always. Related gap queries with the same intent can collapse into a single comprehensive page, while a distinct pricing or alternatives question usually deserves its own. Group by intent and answer shape, not by raw query count.
How do I know if a brief worked?
Track the target query on a cadence after you publish. If you start getting cited, the brief earned its slot; if not, study who still wins it. That feedback loop is why ongoing monitoring matters.