Keyword Research

Isometric illustration showing keyword research process with magnifying glass analysing search terms, data charts showing volume and difficulty metrics and interconnected topic clusters in purple, cyan and lime green.

Keyword Research and Analysis: The KOB Scoring Framework Behind 4,947 Ranked Keywords

Keyword research and analysis should not stop at search volume. Here is the scoring framework we used to take a B2B client from 162 to 4,947 ranked keywords and how to apply it.

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Isometric 3D illustration showing topic cluster hub and spoke model with central pillar page connected to multiple cluster pages by internal links in purple and cyan.

Topic Cluster Strategy: How to Build AI SEO Authority and Dominate AI Search

A topic cluster turns scattered articles into one interconnected system that signals genuine expertise to Google and gives ChatGPT, Perplexity and AI Overviews a coherent source to cite. Here is the framework behind about $8.7M and 598 AI cited pages for a B2B client.

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Isometric illustration showing keyword mapping structure with connected URLs and search intent categories for AI SEO strategy.

How Keyword Mapping Took a B2C Client From 15 to 1,102 Positions

How we mapped a B2C client from 15 to 1,102 keyword positions in 16 months, and the five-step process you can run on your own site this week.

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Isometric illustration showing keyword clusters as interconnected groups of related search terms organised around central topics.

Keyword Clustering: A Revenue-First Framework for Google and AI Search

Stop creating a new page for every keyword variation - here is the revenue-first clustering framework we use across Rankmax campaigns to rank for more terms with fewer, better pages in both Google and AI search.

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Isometric illustration showing keyword research process with a magnifying glass, analysing search terms flowing into a funnel that produces revenue results.

Keyword Research for Revenue: An Intent-First Process for Google and AI Search

Learn an intent-first keyword research process for Google and AI search, then score opportunities with the KOB framework we use to prioritise work behind thousands of ranked keywords.

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