Brand & Non-Brand
Segment branded, competitor, and navigational demand in Google Search Console without rebuilding filters every time.
Open cluster →GSC regex is powerful, but manual filters are easy to forget, duplicate, or misread. This library turns proven query segments into reusable recipes with GSC-safe patterns, plain-English breakdowns, and examples you can apply straight away.
Segment branded, competitor, and navigational demand in Google Search Console without rebuilding filters every time.
Open cluster →Surface query-led informational demand so you can measure educational visibility and top-of-funnel performance cleanly.
Open cluster →Split informational, commercial, research, and purchase-stage demand into cleaner reporting segments.
Open cluster →Track buying signals, price sensitivity, and product-structure patterns that tie SEO visibility to revenue intent.
Open cluster →Find local intent modifiers such as places, service areas, and urgent location signals inside GSC query data.
Open cluster →Group query patterns that align with featured snippets, review-heavy SERPs, listicles, video demand, and image intent.
Open cluster →Separate blog, landing, support, documentation, and product-led demand when query patterns hint at page-type intent.
Open cluster →Turn messy query sets into workflows for low CTR triage, cannibalisation checks, and opportunity discovery.
Open cluster →Track reusable query modifiers such as best, free, seasonal, year-based, and linguistic variations at scale.
Open cluster →Use more advanced but still GSC-safe grouping patterns to tighten segmentation without breaking RE2 compatibility.
Open cluster →Start from ready-made packs for SaaS, ecommerce, local services, and gambling-specific query segmentation.
Open cluster →Package regex into repeatable SEO workflows for segmentation, opportunity finding, and cannibalisation analysis.
Open cluster →These pages are already live, validated against GSC-safe regex rules, and ready to use in your reporting workflows.
Use this regex as the branded half of a two-filter workflow in GSC, then compare it against the remaining query set to monitor brand versus non-brand performance over time.
Use this regex as the first filter in a low-CTR workflow: pull a commercially important query set, then review high-impression rows with weak click-through rate.
Use this regex to pull a broad educational query set in GSC, then inspect which topics, landing pages, or query groups lack a strong content match.
Use this regex to pull one coherent evaluation-intent family from GSC, then cluster the exported queries into subtopics or page groups.
Use this regex as a starter set when building an intent workflow in GSC, then split the output into clearer informational, commercial, and purchase views.
Use this regex to isolate one shared commercial-intent family, then inspect which pages are competing for overlapping queries inside GSC exports.