marketing-seo-researcher

What problem does it solve?

It eliminates guesswork in SEO planning by turning a topic cluster into evidence-based keyword sets, search-intent labels, SERP insights, and actionable content gaps.

Core Features & Use Cases

• Keyword research & expansion: Expands a topic cluster into long-tail keyword candidates using autocomplete, “people also ask”, forums, and competitor page/title signals.
• Search-intent + funnel classification: Assigns each keyword an intent type (informational/commercial/transactional/navigational) and funnel stage (TOFU/MOFU/BOFU).
• SERP analysis & content-gap discovery: Checks SERP features (featured snippets, videos, knowledge panel, sitelinks, etc.) and compares top rankers to identify what’s missing for a given brand/topic.
• SEO content architecture output: Produces a pillar + cluster page pyramid plus internal linking specs and quick-win recommendations.
• Boundary-aware briefing: Avoids unhelpful keyword blobs by requiring intent classification, and respects forbiddenWords constraints from the brand context.

Quick Start

Ask the marketing researcher to perform SEO research for your topic cluster “synthetic data for ML training” for the US and AU and generate the structured SEO brief for a copywriter and channel strategist.