Most content teams create new posts when traffic stalls. That's the slow path.
Your existing blog already has domain authority, backlinks, and reader history. The faster play is refreshing what you already have — with better answers, more specific insights, and structure that AI search engines can actually cite. Content updated in the last quarter is 3× more likely to appear in AI-generated answers.
This guide walks you through a data-driven process: mine the right signals, identify where the opportunity is biggest, and enrich your refresh with insights that only your company has access to. You can follow most of this with Claude or any AI assistant. Where AirOps is mentioned, it's the faster path — not the only one.
What you'll end up with: three blog posts to refresh this week, a bank of real customer insights to make them genuinely better, and a structured brief ready to act on.
Your GSC data is the highest-quality signal you have. Most teams export it once and ignore it. The specific filter that unlocks it: queries of 10 or more words.
These long-tail, conversational queries reveal how buyers actually articulate their problems. They look almost identical to the prompts people type into ChatGPT and Perplexity. That's not a coincidence — it's the same behaviour, just in different places.
Some examples of what surfaces:
These are buyers describing their exact problems. That's your content brief.
How to pull them directly in GSC (no spreadsheet step needed):
^(?:\\S+\\s+){9,}\\S+$