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Keyword Research

Keyword research for Google and AI search

Keyword research is how you find the language your buyers actually use, then map it to pages you can win. In the AI-search era, the same process now includes questions and prompts that answer engines retrieve — not just traditional search queries.

This hub collects the definitions, workflows, and free tools SEO Craft uses to find, score, group, and track keywords.

What is keyword research?

Keyword research is the process of discovering and prioritizing the search terms — queries, questions, and prompts — that your target audience uses, then mapping each topic to a page. It combines search volume, difficulty, intent, and business value to decide what content to create or improve first.

How do I find keywords with low competition?

Start with a seed term, expand into long-tail variations of three or more words, and score difficulty before you commit. Long-tail queries carry lower volume but far weaker competition and more specific intent, which makes them the fastest path to first rankings for a new site.

How do I group keywords into topic clusters?

Group keywords by shared intent and SERP overlap rather than by wording alone. Each cluster becomes one pillar page with supporting articles, which concentrates topical authority and avoids creating near-duplicate pages that compete with each other.

What are question keywords and why do they matter for AI search?

Question keywords are queries phrased as questions — who, what, how, why, where, when. They map directly to featured snippets, People Also Ask, voice answers, and the prompts users type into ChatGPT and Perplexity. Each question deserves a direct 40–60 word answer under a matching heading.

How do I track rankings for my keywords?

Track a stable set of target keywords by page, country, and device on a regular schedule, and watch trends rather than daily noise. For AI search, also track whether your brand is mentioned and cited in answers, not just where a URL ranks.

Related questions

How many keywords should I target per page?▾
One primary intent per page. Pick a primary keyword, support it with closely related variants, and do not chase unrelated terms on the same URL. Competing with yourself is a common cause of flat rankings.
Is search volume still useful in the AI-search era?▾
Yes, but it is not the only filter. Prompts and question queries often show low or zero traditional volume while driving valuable AI answers. Combine volume with intent, difficulty, and whether the query maps to your product.
What is keyword difficulty?▾
Keyword difficulty estimates how hard it is to rank in the top results for a term, based on the authority and backlink strength of the pages already ranking. Lower-difficulty terms are where new or smaller sites should start.
How do I use the free keyword tools together?▾
Run the Keyword Difficulty Checker on candidates, expand winners with the Long-tail Generator, group them with the Clustering Tool, mine questions with the Question Keywords Finder, then draft briefs with the Content Brief Generator.