Keyword research
Turning exports and raw lists into clusters, intent groups and a plan you can act on.
What these prompts are for
The job is deciding which keywords belong on one page. These cover clustering by intent rather than by shared words, naming the page each cluster targets, and finding the two pages that would compete for the same query.
- 01Mine long tail keywords a low authority site can actually winA prompt that expands a seed into long tail queries, then throws out every one whose results page is already owned by a brand you cannot outrank yet.
- 02Classify a keyword list by search intent and the page type it needsA prompt that labels each query by intent, names the page format that satisfies it, and tells you which of your existing pages is the wrong shape for its keyword.
- 03The keyword research prompts worth running, and the order they go inThe five stages of keyword research, which prompt belongs to each, and a router prompt that tells you which stage you are actually at.
- 04Decide what one page should target, and make the model quote the page as evidenceA prompt that takes one URL and a shortlist of queries and returns a single verdict on what that page should target, with a sentence from the page as proof.
- 05Do keyword research from first principles, with a business and no dataKeyword research without a tool: the three sources of truth you already have, and an interview prompt that names no terms until it knows your business.
- 06Work out which half of your keyword question a model can actually answerWhat a language model is genuinely good at in keyword research, what it cannot know, and a prompt that scores your request before it tries to answer it.
- 07Triage the keywords you already rank for, before researching a single new oneA prompt that reads a Search Console query export and sorts every query you already rank for into six action buckets, naming no cause the data cannot show.
- 08Expand one seed keyword into a set worth validatingA prompt that expands a single seed keyword into candidate search terms along named axes, marks which came from your own words, and refuses to invent demand.
- 09What keyword research is, explained with something you sell rather than running shoesKeyword research defined in one paragraph, then a prompt that teaches it back to you using your own business as the worked example instead of a generic one.
- 10Turn a keyword export into topical clusters that map to real pagesA prompt that clusters a keyword export by search intent rather than shared words, names one page per cluster, and flags the pages that would compete.
A new prompt, most days One working prompt for a real SEO or AI visibility job, what to change in it, and a worked example. No sequences, no offers dressed as newsletters.
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