All posts
SEO8 min read
Keyword research in the LLM era: from queries to intents
Keywords still exist — but they are a proxy. Here is how to do keyword research in a world where users type whole sentences to a model.
Keyword tools still matter; they just stopped being enough. Today's research connects classic SERP queries with LLM prompts to surface the underlying intents users care about.
Sources
- Search Console queries (real, intent-rich).
- Bing Webmaster Tools (different long-tail patterns).
- Prompt-monitoring data from LLMs.
- Customer interview snippets.
- Internal site search.
Map to intents
Group queries and prompts into intents (informational, navigational, transactional, comparative). Each intent gets one canonical page.
Clustering rules
- Same SERP overlap > 60% → same page.
- Same prompt response targets → same page.
- Different intent → different page, even if keywords overlap.
Tooling
Combine Search Console with LumenEntity's prompt panel to get a unified view of head queries and LLM intents in one place.
Frequently asked questions
- Are keyword volumes still useful?
- Yes, as a relative measure. Absolute numbers are noisy.
- How do I research prompts?
- Use a panel of real prompts, observe which sources get cited, and reverse-engineer.
- Should I keep targeting head terms?
- Yes — but on hub pages that aggregate long-tail intents.
Keyword ResearchIntentStrategy
Keep reading
SEO
IndexNow explained: get Bing to recrawl your site in minutes
Stop waiting on the organic crawl. IndexNow is a one-line ping that pulls Bing to your changed pages almost immediately.
SEO
How to submit your site to Bing Webmaster Tools (and why AI teams should)
Copilot reads Bing. If you have never verified your site in Bing Webmaster Tools, you are invisible to the fastest-growing AI surface in the enterprise.
SEO
FAQ and HowTo schema: the fastest structured-data win for answer engines
Answer engines think in questions and steps. Mark your content up the same way and you hand them the answer pre-formatted.