Putting It Together — A Content Research Workflow
A worked end-to-end example: from "what should I write about this month?" to a prioritized article queue with SERP context.
From Seeds to an Article Queue
Here is how a typical month of content research runs end to end when you are doing it on demand rather than letting the Content Calendar Pipeline handle it automatically. Step 1 — pick 3-5 seed keywords that cover your niche. Step 2 — run blog gap analysis across the seeds to find candidate topics you do not already cover. Step 3 — for the top 5-10 gap candidates, run SERP analysis to see who currently ranks and how crowded the field is. Step 4 — cross-reference against your main competitor's ranked keywords to see if any of your gap candidates are keywords they are already winning. Step 5 — commit to the top 4-6 topics for the month and brief them out. The whole thing is one conversation with your AI employee — you don't need to run each endpoint by name.
The conversation, start to finish
Asking for a full month of content research in one flow.
Interpreting the Output
What you get back is not just a ranked list — it is a ranked list with the reasoning attached. For each recommended topic you see the keyword, the search volume (demand), the keyword difficulty (effort to rank), the current top-3 SERP competitors (what you'd be up against), and a one-line rationale for why this topic made the cut. Topics where the SERP is dominated by thin or outdated content get flagged as easy wins; topics where the SERP is all domain authorities get flagged as long-shot unless you have a specific angle. You do not have to accept every recommendation — push back, ask for alternatives, or add your own topics to the queue.
From Queue to Article
Once you have a set of approved topics for the month, the fastest path to actually shipping the articles is to feed them into the Content Calendar Pipeline — drop the keywords into the calendar sheet with status=approved, and the daily drafter will generate one full article per day on cron, email you the draft for final review, and handle the publish on your reply. If you prefer writing yourself, ask your AI employee for a research brief on each topic (the approved keyword list plus SERP competitor titles gives the AI enough context to produce a genuinely useful outline rather than a generic one), and use the brief as a starting point for your own drafting.
The Content Calendar Pipeline category (linked above in related articles) is the full-automation version of this workflow. This article is the manual, on-demand version — useful when you want one-off research rather than a monthly program.