A GSC-based keyword clustering tool built for practitioners
SEOcluster.ai is a founder-built tool designed for people who work with Google Search Console data every day.
It clusters real search queries by intent, identifies keyword cannibalization risks, and translates raw GSC exports into clear target pages and content decisions—without relying on estimated keyword volumes or third-party databases.
The goal is simple: help teams move from "here's the data" to "here's exactly what page to create, optimise, or merge."
Modern SEO increasingly rewards topic authority, not individual keyword rankings.
Search engines—and AI systems—evaluate whether a site demonstrates depth, clarity, and intent coverage across a subject area, rather than whether it targets isolated phrases.
This shift changes how SEO decisions need to be made:
SEOcluster.ai was built to remove that friction. It connects directly to Search Console, clusters queries by semantic intent, surfaces overlap and cannibalization, and outputs page-first recommendations with optional AI-assisted briefs—so teams can act with confidence.
SEOcluster.ai connects to Google Search Console and:
Groups queries based on meaning rather than surface-level keywords, revealing how Google interprets search intent across a topic.
Identifies where multiple URLs split clicks for the same topic, scored by severity using concentration analysis (HHI). Shows exactly which URLs compete and how much traffic each captures — so consolidation decisions are based on data, not guesswork.
Recognises geo-modified queries at scale to support local and multi-location strategies.
A page-first output showing which pages to create, optimise, merge, or monitor.
Optional briefs with suggested structure, headings, FAQs, and schema — optimised for both traditional SEO and AI search engines (GEO). Adapts recommendations based on whether you run a service business, ecommerce store, or publisher site.
Formatted PDF or DOCX reports showing topic clusters, quick wins, and strategic recommendations based on actual GSC performance data.
The platform is designed for SEO consultants, agencies managing multiple client sites, in-house marketing teams, and local and service-based businesses.
Jimmy Faccioli is a marketing automation and SEO practitioner based in Perth, Western Australia.
He has worked across not-for-profit and commercial environments for over five years, focusing on SEO, analytics, marketing automation, and data-driven website optimisation. His work centres on designing systems that turn raw data into clear decisions—reducing manual effort while improving consistency and confidence.
Jimmy built SEOcluster.ai after repeatedly encountering the same limitation in day-to-day SEO work: Google Search Console provides the most accurate view of search performance, but turning thousands of raw queries into actionable content and site-structure decisions still requires manual clustering, spreadsheets, and subjective judgement.
The project combines applied data analysis, semantic clustering techniques, and automation to help teams move from raw GSC data to clear, defensible SEO decisions.
SEOcluster.ai applies modern semantic analysis techniques to group Google Search Console queries by intent, not just wording.
Instead of relying on fixed keyword lists or predefined cluster sizes, the system identifies natural topic groupings based on how users actually search. This allows it to:
AI-assisted generation is used selectively to speed up content planning and briefing, while clustering and prioritisation remain data-driven and transparent.
See real clustering results, target pages, briefs, and audit exports.
How 2,000+ GSC queries became 18 target pages — not 40.
Comprehensive guide to keyword clustering and topical authority.
Technical explanation of intent-based clustering and Target Pages.
GSC-native clustering vs scraped keyword databases.
Semantic clustering vs Parent Topic methodology.
Connect your Google Search Console and see your topic clusters in minutes.
Start Free with Google Search Console