Keyword Targeting
What is Keyword Targeting?
Keyword Targeting has been the foundation of search marketing for two decades, and it remains the foundation in the AI-search era — even though the surface has shifted. Modern Keyword Targeting still uses search volume, competition, and intent classification, but now also accounts for AI-search behavior: which keywords get answered by AI Overview vs send users to traditional results, which keywords AI engines prefer, and which keywords drive citations even when click-through is low. Mature Keyword Targeting groups keywords into topic clusters and pillar pages rather than chasing individual terms.
Why it matters
- Keywords are the explicit signal of buyer intent — they say what people are looking for.
- Topic clusters outperform individual keyword targeting in modern AI-search.
- AI-search has changed which keywords matter — buyer-intent keywords matter more, brand keywords matter less.
Use cases
- Topic cluster ownership. Pillar page plus supporting articles to own a category in search.
- Long-tail capture. Targeting specific, lower-volume keywords with focused content.
- Comparison-page strategy. 'X vs Y' keywords get dedicated pages designed for AI-citation.
How turgo helps
turgo's content strategy is built around topic clusters with explicit keyword roadmaps — every glossary entry, comparison page, and help center article targets a defined keyword group.
See turgo in action →
