You know content is the fix. The gap decides where it takes root first — not the volume.
What's at stake for you
Why this lands on your desk
You are measured on pipeline, and the content engine that used to feed it is underperforming in AI and LLM search despite strong assets.
You suspect the problem is discoverability, not quality — but "improve our AEO" is not a plan you can hand to a team or defend in a QBR.
You need specifics: which queries you are losing, which pages are stale, and what to produce next, in priority order.
What you get
What's decaying, what's missing, what's next.
A content roadmap tied to real demand, largest gap first
What is broken: stale pages, missing clusters, lost queries — each with a reason
The buyer prompts and queries each page must win
On-brand pages shipped without scaling your headcount
How it fits your process
Where we stop, and what stays yours
The roadmap plugs into your existing planning — briefs, clusters, and targets export cleanly to your team and agencies.
Pages are validated against real SERPs before they ship, so you do not build duplicate or cannibalizing content.
Agents do the work, humans control it — your PMM sign-off stays in the loop on voice and claims.
The free GEO audit
See exactly where AI engines are ignoring you.
Seven gaps, measured on your own domain — before you pay anything.
FAQ
Questions from your seat
How is this different from a keyword list?
Every recommendation names the page, the queries, the prompts, and the gap it closes — ordered by that gap, not by volume alone.
Will this create more work for my team?
The opposite. The pipeline produces on-brand pages so you scale output without scaling headcount; your team approves rather than drafts from scratch.