Go beyond search volume numbers. Quill uses NLP to cluster keywords by meaning, map search intent, identify content gaps, and build a publishing roadmap that drives real rankings.
Volume and difficulty aren't enough. Real keyword strategy requires understanding meaning, intent, and content architecture.
Keyword Clustering
Group semantically related keywords so one page targets an entire topic, not just a single phrase.
Search Intent Mapping
Classify keywords by intent — informational, navigational, commercial, transactional — and match content format.
Content Gap Analysis
Find keywords your competitors rank for that you don't. Identify untapped opportunities in your niche.
Difficulty Scoring
AI-powered difficulty scores based on actual SERP analysis, not just domain metrics.
Topic Architecture
Map keyword clusters to pillar pages and supporting content for optimal site structure.
Opportunity Prioritization
Rank keywords by a combined score of volume, difficulty, intent, and business relevance.
How Quill Researches
01
Seed Keywords
Enter your main topics, brand, or competitors. Quill expands from there.
02
NLP Clustering
Natural language processing groups thousands of keywords into semantic clusters.
03
Intent Mapping
Each cluster is classified by search intent and matched to the optimal content format.
04
Content Plan
You get a prioritized publishing roadmap — what to write, in what order, targeting which clusters.
Sample Keyword Clusters
Cluster
Keywords
Intent
Volume
Difficulty
AI SEO Tools
ai seo toolai seo softwarebest ai seo tools 2025seo automation tool
Commercial
8,400
Medium
SEO Audit
free seo auditwebsite seo checkerseo audit tool onlinesite audit
Transactional
22,000
High
Keyword Research Guide
how to do keyword researchkeyword research for beginnerskeyword research process
Informational
14,800
Medium
GEO / AI Search
generative engine optimizationseo for chatgptai search optimization
Informational
3,200
Low
From Research to Rankings
Keyword research isn't an end goal — it's the foundation. Quill's clusters feed directly into content briefs, Forge optimizes existing pages for discovered opportunities, and Pulse tracks ranking progress for every cluster.
Powered by Miropoint's NLP Research
15 years of studying how search engines understand language
Frequently Asked Questions
How is AI keyword research different from traditional tools?
Traditional tools give you lists sorted by volume. Miropoint uses NLP to cluster keywords by semantic meaning, maps search intent, and builds a content architecture — turning raw data into an actionable strategy.
What is keyword clustering?
Keyword clustering groups semantically related keywords that should be targeted by a single page. Instead of creating separate pages for 'ai seo tool' and 'ai seo software,' you create one comprehensive page that ranks for both.
How many keywords can I research at once?
Quill can analyze thousands of keywords per research session. There's no practical limit — the AI handles expansion, clustering, and mapping automatically.
Does this integrate with content creation?
Yes. Keyword clusters feed directly into Quill's content creation workflow. Each cluster becomes a content brief with target keywords, intent, suggested structure, and competitive analysis.
How often should I update my keyword strategy?
We recommend quarterly reviews. On Growth and Scale plans, Quill monitors search trends and suggests strategy updates automatically when new opportunities emerge.
Get Your Keyword Strategy
Stop guessing which keywords to target. Let AI build your roadmap.