Keyword Hunter finds 50–150 keyword ideas from a single seed by simultaneously querying 10 sources including Google Autocomplete patterns, DuckDuckGo, related searches, and Wikipedia. Each result includes difficulty score, volume bucket, search intent, and opportunity score.
Keyword Hunter was built to compress three hours of keyword research into under ten minutes. This tutorial walks through every feature from seed input to export, so you leave with a working content plan.
Step 1: Enter Your Seed Keyword
Go to dottheta.com/keywords and type your seed. This can be a single word (“SEO”), a phrase (“content marketing”), or a question (“how to rank on Google”). Don’t overthink it — the tool expands outward from whatever you enter using 10 different expansion methods.
If you’re starting a content strategy from scratch, use your main topic as the seed. If you’re filling in gaps around existing content, use a subtopic you haven’t covered yet.
Step 2: The Ideas Tab
The Ideas tab hits 10 sources simultaneously:
- Google Autocomplete in 6 patterns: alphabetical (A–Z), question prefixes (how, why, what, when, which, who), prepositions (for, with, without, near), comparisons (vs, versus, alternative), year variants, and “near me” local variants
- DuckDuckGo suggestions
- Serper.dev related searches
- Wikipedia topic expansion
You’ll get 50–150 keywords within 15–20 seconds. Each shows estimated difficulty (0–100), volume bucket (low/medium/high/very high), search intent classification, and an opportunity score combining difficulty and volume.
Step 3: Filter by Intent
The intent filter is the feature most users ignore and most benefit from. Informational queries (how to, what is, guide) are content opportunities. Commercial queries (best, top, review) are monetisation opportunities. Transactional queries (buy, price, discount) are product/landing page opportunities.
If you’re building an editorial content strategy: filter to Informational only. You’ll cut 120 keywords down to 30 targeted opportunities instantly.
Step 4: Semantic Vocabulary Tab
The Vocab tab scrapes the top-10 ranking pages for your keyword and runs TF-IDF analysis to find what terms Google expects to see alongside your target. This is your NLP checklist.
If you’re writing about “keyword research” and the Vocab tab shows that top-ranking pages all include terms like “search volume”, “keyword difficulty”, “long-tail”, and “search intent” — you need these terms in your content. Google’s NLP systems use them as topical authority signals.
Step 5: Build Your Content Plan
Once you have your filtered list, star the keywords you want to target (☆ button next to each). Aim for 1 pillar topic (medium difficulty, good volume) and 5–8 cluster topics (low difficulty, specific intent).
The pillar post covers the broad topic comprehensively. Each cluster post covers a specific sub-question in depth. Internal links from clusters to pillar and back create a topic cluster structure that Google rewards with topical authority boosts across all cluster pages.
Step 6: Export
Go to the Export tab. Choose CSV for spreadsheet analysis or JSON for development use. The export includes all metadata — difficulty, volume bucket, intent, opportunity score — so you can prioritise in a spreadsheet or feed into a project management tool.
A typical export workflow: export → paste into Notion or Airtable → assign target keywords to content briefs → use Outrank AI to generate the brief → write.
- Keyword Hunter queries 10 sources simultaneously
- Returns 50-150 keywords per seed in under 20 seconds
- Includes TF-IDF semantic vocabulary analysis of top-10 results
- Intent classification: Informational, Commercial, Transactional, Navigational
