How to Find Blog Post Ideas with AI

AI can brainstorm topics from materials a team already owns: customer questions, product documentation, interviews, community feedback and subject-matter expertise. Start with a defined audience and problem. Ask the model to cluster questions, point out unanswered subtopics and propose ideas that can be supported by real sources. De-identify sensitive support questions and respect forum rules before using external discussions. Treat the output as a backlog, not a publishing calendar. For each idea, state the reader, the question, why the organization is qualified to answer it and what evidence will make the article useful. Search the existing site for the same intent and decide whether to update an older page instead of creating a near-duplicate. A topic may be popular yet still be a poor fit if the organization has no expertise or cannot provide a distinct answer. Review source quality before approving an idea. A model may combine questions into a false trend or invent search demand. Validate query data in a suitable analytics tool, and talk to readers or staff who handle those problems. Look for originality: firsthand examples, a real process, comparison data or a useful explanation. Do not select topics only because keywords look attractive or competitors have published them. Google’s Search Central guidance says content should primarily help people and warns against publishing large amounts of unoriginal pages mainly to manipulate rankings. That does not prohibit AI-assisted ideation or writing; it makes purpose and added value important. A useful editorial filter asks whether a person who lands on the page will get a satisfying answer without needing to search again. Keep an idea brief with its intended reader, scope, source plan, existing related pages and reason to publish. Use AI to compare angles or generate outlines after an editor approves the topic. Review the finished article for accuracy and overlap before release. A short, evidence-backed queue is more useful than a long list of generic ideas.