A blog that answers the questions your buyers really ask is one of the most reliable ways to give AI assistants something to cite. The hard part is choosing which articles to write. Blog post ideas uses your monitoring data to decide: questions where answers leave you out, and where your website is not cited, come first.
From question to brief
For each active monitored question, Narrashift creates an editorial brief. The title is the buyer's question itself, because that is the phrasing assistants and searchers use. The format follows the question's intent: buyer comparison guides and alternatives guides for discovery and comparison questions, pricing and cost breakdowns for pricing questions, practical troubleshooting guides for problem questions, and product use-case guides for everything else.
Each brief includes a suggested article structure, the evidence you should add — such as dated vendor documentation, a transparent comparison table, reproducible tests or worked cost examples — and the reader intent. The guidance explicitly asks you to include your product only where its documented capabilities fit, so articles stay useful and credible.
Ranked by observed gaps
Ideas are scored using the latest successful answer from each provider for the current version of the question. The score rises when your brand is absent from analyzed answers, when your website is not cited in answers that cite sources, and with the commercial intent of the question. The result is a priority — high, medium or build coverage — with plain reasons such as “Brand absent from 3 of 3 analyzed answers” or “Your website was not cited in 2 of 2 citation-eligible answers”.
Pending analyses are treated as unknown, not as absences, so a question is never ranked high just because its answers have not been analyzed yet. Each brief also lists up to three sources already cited for the question — useful research references, which can include competitor websites — and links to the AI answers it is based on.
Filter by what matters to you
Large projects can have well over a hundred ideas. You can search by title, filter by the product feature a question belongs to (or names in its title), and filter by competitor — any tracked competitor named in the question or in its latest AI answers. Every idea card shows its feature and competitor tags, and the filters are stored in the address bar so a filtered list can be shared with a colleague or a writer.
This makes it easy to plan a content series: all ideas for one feature, all questions where a specific competitor is recommended, or all high-priority pricing questions.
Part of the optimization loop
Blog post ideas complement the Opportunity finder and the Content optimizer. Use opportunities to decide which topics are most urgent, the optimizer to draft the article, and the Impact tracker to see whether visibility for those questions changes after publication. Existing blog coverage on your website is not checked automatically, so review your archive before writing a new piece on the same question.
Because ideas are generated from data you already collect, they cost nothing extra and update automatically after every monitoring run.
Writing articles AI can use
The briefs encourage the qualities that make a page worth citing: a direct answer near the top, clear headings that mirror the question, dated facts with links to primary sources, honest comparisons that also say when another tool is the better fit, and concrete examples instead of general claims. These are the same qualities that make an article useful to a human buyer, which is exactly the point.