You know where you lose. Now see why each KPI moved, and what to fix first, ranked by how many answers it can change.
AI content gap analysis finds the themes, sources and claims engines use when they recommend competitors instead of you. On the MentionX Action Board, each gap becomes one ranked action you can assign, ship and measure.
Every KPI shows why it moved, where you lose and which actions would move it.
Gaps from AI answers, Google, social and review sites become one action per deliverable.
This week's focus, owners, due dates, approvals and AI drafts via the GEO Content Agent.
The next weekly scan marks each shipped action improved, unchanged or declined.
Ordered by how many stored answers each action could change.
A page, a listing or a thread, not five cards for the same gap.
The next weekly scan shows which engines changed their answer.
Thirty things you could improve, in no particular order.
Near-wins first, then sources to earn, pages to publish and claims to counter, ranked by answers they can change.
Ranking is calculated in code from stored answers, not by an AI model.
How it is counted, what a good number is, and how to move it.
Compare the answers where competitors are recommended with yours: the themes, sources and claims engines use. MentionX does this automatically and ranks the fixes.
Near-wins: prompts where AI already mentions you but recommends someone else.
The GEO Content Agent drafts articles from your actions: 5 a month on Spark, 30 on Nova and 50 on Galaxy.
The next weekly scan shows whether the engines changed their answers on those prompts.
Enter your URL and market. Your first scan shows it on every engine in your plan.