How is the semantics here different from a keyword tool?
A keyword tool exports a spreadsheet and leaves the grouping to you. Here up to 1,000 phrases around your category are gathered with their monthly volumes and grouped into intents by a clustering model our own team wrote and runs on separate servers, one cluster per page worth writing, then checked against the pages you already have.
- 3,400 searchesa month
- Difficulty 24easy
- No page on your site yet
Our own model, on our own servers
Written from scratch by a team that spent fifteen years arguing with real rankings, built on an open-weight language model, tuned against what those rankings rewarded.
From a thousand phrases to the pages worth writing
- 24 reachable noweasy
- 21 within a quarterpossible
- 17 for laterhard
One run, in four steps
- 01
Phrases are gathered around your terms and your rivals' pages, with the monthly volume and difficulty of each.
- 02
The model groups them by meaning: wordings that mean the same collapse into one cluster, one page.
- 03
Each cluster is checked against your site, so what you already answer is not listed as a gap.
- 04
The reachable clusters come first: difficulty your site can win now, volume worth the page.
Who built the clustering, and why does that matter?
The team behind GEO MarketMap ran an SEO agency for more than 15 years and took more than 600 high-load projects to the top of search results. The clustering model is that team's own work: written from scratch, run on separate servers, built on an open-weight language model rather than rented as a feature from somebody else's tool.
The detail+–
It matters because grouping is where semantics goes wrong. A tool that groups by shared words puts "crm pricing" and "crm pricing api" on one page; a model that groups by meaning knows they are two buyers. Fifteen years of arguing with real rankings is what the thresholds are tuned against.
What does a cluster give me that a keyword does not?
A page, with the evidence for writing it. Each cluster carries the phrasings that belong together, the demand behind all of them, how hard the head of it is, and whether your site already answers it. Eleven phrasings that mean one thing become one page instead of eleven thin ones competing with each other.
The detail+–
The order is by reachability, not by volume alone. A young site ranks for phrases under difficulty 30 in one to three months and for the big heads only after months of authority, so the clusters your site can win now come first.
Is this classic SEO or AI search?
Classic SEO, and it is the half most tools in this category dropped. According to the Pew Research Center, which tracked 68,879 Google searches in March 2025, 18% produced an AI summary, which means 82% did not and the ranking under it still decides who gets the click. Their report is titled "Google users are less likely to click on links when an AI summary appears in the results", and the other four in five searches are still a ranking.
The detail+–
A page written for a cluster is also the page an assistant can quote, so the work serves both halves.
How do domain strength and content type come into it?
Every cluster is read against who already ranks for it: how strong those domains are and what kind of page holds the position, a comparison, a guide, a tool page, a forum thread. A cluster held by strong domains with deep guides is a next-year fight; one held by thin pages on weak domains is this month's.
The detail+–
The agent says which, and plans accordingly. That is the difference between a keyword list and a plan.
Also asked
- How many phrases are gathered? +
- Up to 1,000 per run, gathered around the terms that describe your category and your rivals' pages rather than from a fixed list, so a niche with unusual wording is still read in its own words.
- Does it work in languages other than English? +
- Yes. The model reads meaning rather than spelling, so phrases in the language your market searches in are grouped the same way, and a project's semantics is built in the language of its site.
- Can I run it again later? +
- Yes. Every run is kept with its date, so a later run can be read against an earlier one: which clusters got easier, which appeared, which you now cover.
Last updated 3 September 2026
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