Keyword Insights
AI-driven content intelligence platform for keyword clustering, search intent, and content briefs at scale.
I co-founded Keyword Insights specifically to solve the clustering problem at scale.
- In the models’ own associations for keyword clustering, ahead of SE Ranking and Moz
- 4th
- Samples from ChatGPT, Gemini and Claude
- 195
From a probe of our own brands on 21 August 2026. Those figures describe that sample and date.
What you get
- Keywords grouped by topic, using SERP overlap
- The dominant search intent of each cluster
- The top ranking URL for each cluster
- Topic hubs, with intent and funnel data on every row
- Content briefs
It clusters your keywords by search intent rather than by string match, so the pages fighting over one intent surface as a group even when they share no keywords.
Why it exists
In 2020 I made 10 SEO predictions, and one of them was “topics and semantics over keywords”. Keyword Insights exists because this prediction turned out to be correct and the existing tools weren’t solving it.
Its grouping maps closely onto what I’m watching ChatGPT do when it collapses a domain down to one cited page.
Tools I built on it
Keyword Insights Skill
Claude Code skill for keyword clustering, search intent classification, and content brief generation using the Keyword Insights API.
Content Calendar MCP
Turns a Keyword Insights clustering CSV into a prioritised week by week SEO content calendar.
The detailed walkthrough of the calendar is on the Keyword Insights blog.
Writing about it
- ChatGPT Already Knows Who's In The Running Before It Searches
- ChatGPT Changed How It Picks Sources While You Were Reading My Last Post
- I Built an MCP That Turns Keyword Clusters Into SEO Content Calendars
- Cloudflare Markdown for Agents. I Tracked Every AI Request for 44 Days.
- I Made 10 SEO Predictions in 2020. Here Is My Scorecard.
I also write for the Keyword Insights blog.
Keyword clustering by search intent, at scale.