Autonomous Keyword Research
From your business description to a 500+ keyword semantic core — automatically. No spreadsheet, no manual research session, no analyst required.
How it works
Seed extraction
Describe your business in plain language. Muginai extracts seed keywords automatically — no initial keyword list required. If you have seeds already, paste them in to accelerate the process.
Google Suggest expansion
The research engine scrapes Google Suggest across multiple locale and country combinations. Each seed expands to dozens of related queries, capturing long-tail variations and intent signals at scale.
Competitor TF-IDF analysis
Muginai crawls the top-ranking competitor pages for your seed terms, runs TF-IDF analysis to identify the concepts they emphasize, and surfaces keywords and topics you're not covering.
Intent classification
Every keyword is classified by search intent: informational (research stage), transactional (ready to buy), or navigational (looking for a specific brand/site). This drives content brief templating and prioritization.
Semantic clustering
Related keywords are grouped into content clusters by semantic similarity. Each cluster represents one content piece — a pillar page, supporting article, or programmatic template. Clusters are scored by commercial value.
Scheduled refresh
Keyword research isn't a one-time event. Muginai re-runs the discovery process on a schedule, surfacing new keywords as your niche evolves — emerging topics, seasonal variations, competitor movements.
What the output looks like
Clustered keyword map
Every keyword grouped by topic cluster with intent labels, estimated volume, and competition score.
Commercial intent scoring
Transactional keywords flagged and prioritized — the ones most likely to drive conversions, not just traffic.
Competitor gap report
Topics your top competitors rank for that you're not targeting — sorted by traffic opportunity.
Content calendar skeleton
Each cluster maps to a recommended content piece with approximate word count, template type, and internal linking plan.
Connected features
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