The problem this solves
Somewhere in your category are buyer questions that AI assistants currently answer badly: thin responses, outdated information, or citations that all point to competitors. Each one is an open lane - a question with real demand and weak incumbent sources. Finding them requires querying the engines systematically, judging answer quality at scale, and cross-checking demand, which is why most content teams still plan from keyword lists alone and never see where the answer layer is actually soft.
There is also a production gap. Even teams that identify answer opportunities lose momentum between insight and shipped article: the finding lives in a deck, the brief waits for a writer, drafts wait for review, and the lane closes as someone else publishes the quotable page. A sprint that goes from gap analysis to staged drafts with review tasks assigned collapses that whole timeline into a single mission.
How the mission runs
- Hunt the answer gaps. AI Visibility queries the live engines with buyer questions across your category and grades each answer: completeness, freshness, and who gets cited. Questions where answers are weak or rivals dominate the citations become gap candidates, each with the captured evidence attached.
- Validate the demand. Keyword Intelligence checks that each candidate question carries real search demand and maps the related phrasings people use. Gaps with demand and weak answers rank highest; the final ten balance winnability against the value of the traffic and citations at stake.
- Write answer-first drafts. For the top five, the agent writes full articles engineered for extraction: the direct answer in the opening, structured sections an engine can lift, comparisons as tables, claims dated and sourced. The other five ship as ready briefs so momentum survives the sprint.
- Stage everything in Sanity. Drafts land in your Sanity workspace as unpublished documents with fields mapped to your schema. Staging keeps humans in control of publishing: the content is one review away from live, and nothing appears on the site until an editor decides it should.
- Open the review loop in Asana. The agent creates an Asana task per draft - linked to the Sanity document, carrying the gap evidence and the target question - and assigns your reviewers. The sprint ends with the work queued inside the system your team already runs every day.
The prompt
This is the exact objective the agent receives. Swap the obvious placeholders for your own domain, segment or channel and run it as-is from the console, Slack, or the API.
What comes back
Five answer-first articles staged as drafts in Sanity, five more opportunities documented as ready-to-write briefs, and an Asana task per piece linking the draft, the target question, and the evidence that the current AI answers are beatable. Publication stays a human decision made in your CMS; the mission's job is to put reviewable, evidence-backed work at the front of that queue.
Make it yours
- Aim the gap hunt at comparison and alternatives questions specifically, where citations concentrate and buying intent runs highest in most categories.
- Ask for briefs only across all ten gaps when your writers want to own the drafting and just need the evidence and the structure.
- Re-run monthly and let each sprint pick up the next ten gaps, checking first whether previously shipped articles have started earning citations.
Frequently asked questions
How do you judge that an AI answer is weak?
Each captured answer is graded on concrete criteria: does it actually resolve the question, is its information current, and do its citations satisfy the intent. Grades link to the captured responses, so you can read exactly what the engines said before trusting the gap.
Will the articles read like generated filler?
The drafts are written from your product context and the captured evidence, structured for extraction, and staged specifically so your editors shape voice before anything publishes. The review step is part of the design; the mission optimizes for beating the current best answer, which filler cannot do.
What if my CMS schema is customized?
The Sanity staging maps to your document types and fields as configured, and drafts arrive unpublished regardless of schema. If a field cannot be mapped cleanly, the content lands in the draft body with a note in the Asana task so the editor resolves it during review.