If your content strategy still starts and ends with keyword volume, it may be working against you. Search engines and AI tools have evolved to prioritize answering the intent behind a query — not just matching words on a page. That shift has real implications for how marketers should approach content planning, creation, and measurement.
What’s in this Video
Senior SEO Brett Woodward walks through why a keyword-first approach has limitations in today’s AI-driven search landscape, and what to focus on instead. He introduces the concepts of intent volume and query counting as more effective lenses for building and evaluating content strategy.
Key Takeaways
- Keywords still matter, but they shouldn’t be the sole driver of your content strategy — search engines and AI tools are optimizing for intent, not keyword matching
- Intent volume — the aggregate demand behind a single search intent, regardless of how people phrase it — is a more useful measure than search volume for individual keywords
- AI systems use “fanout queries” to break a single question into multiple related subqueries, which means your content needs to address a problem comprehensively, not just target a phrase
- Narrowing your focus to high-volume keywords risks missing lower-funnel, high-specificity topics where buyers are closer to a decision
- When building content, let the intent guide both the depth and breadth of coverage — ask what a complete resolution to the searcher’s problem looks like
- Query counting — tracking the number of unique queries a page earns visibility for over time — is a practical way to measure whether your content is gaining or losing relevance
- Tools like Google Search Console and Also Asked can help you identify topic patterns, surface related questions, and understand how broadly your content is matching real search behavior
Content that solves a real problem for the right person, at the right stage of their journey, is what earns visibility in search and AI — and that starts with understanding intent.
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