SEO Cluster AI vs Keyword Insights
Two approaches to keyword clustering — one built on SERP analysis, one built on your actual Google Search Console data. See which fits your workflow.
Start Free with Google Search ConsoleNo credit card required
Quick Verdict
Choose SEO Cluster AI if you:
- Want to see Target Pages — not just clusters
- Need to cluster real Google Search Console queries
- Work on local or multi-location SEO
- Want combined briefs and client-ready audit exports
Choose Keyword Insights if you:
- Focus on SERP-based keyword research
- Build editorial or blog-heavy content
- Prefer clustering based on ranking URL similarity
- Start from third-party keyword discovery tools
The Core Difference: Data Source
The fundamental difference between these tools is where your keywords come from.
SEO Cluster AI
- Uses first-party Google Search Console data
- Clusters keywords your site already ranks for
- Reflects real impressions, positions, and CTR
- Ideal for optimisation and scaling existing content
Performance-first approach
Keyword Insights
- Uses SERP analysis and third-party data
- Groups keywords based on overlapping ranking URLs
- Pulls from Autocomplete, Reddit, PAA
- Ideal for upfront keyword research and ideation
Discovery-first approach
Want to understand why first-party data matters? Learn how clustering Google Search Console queries reveals opportunities that third-party tools miss.
Keyword Clustering Methodology
| Aspect | SEO Cluster AI | Keyword Insights |
|---|---|---|
| Clustering logic | Semantic intent (embedding-based) | SERP URL similarity (30-40% overlap) |
| Primary data source | Google Search Console | Third-party keyword lists, SERP data |
| Duplicate handling | AI merge recommendations | Manual refinement |
| Local intent modelling | Native (6M+ locations) | Not specifically featured |
| Capacity | Up to 50k keywords | Up to 200k keywords |
Learn more about how semantic keyword clustering works and why embedding-based methods outperform SERP-based grouping.
Unique to SEO Cluster AI
Features you won't find in typical keyword clustering tools.
Target Pages
See exactly which pages to create, optimize, or merge — not just clusters:
- • Page-first hierarchy (not cluster-first)
- • Combined keyword counts per page
- • Existing URL detection
- • Action recommendations built-in
Page Strategy
AI automatically identifies topic branches that should be combined:
- • Merge related clusters into one page
- • Generate combined briefs
- • Prevent thin content
- • Build comprehensive coverage
Client-Ready Audit PDF
Export professional SEO audits for clients:
- • Executive summary
- • Target Pages & actions
- • Cannibalization conflicts
- • Pro: DOCX for white-labeling
URL Mapping & Actions
Each cluster mapped to existing URLs with recommended actions:
- • Optimize — strengthen pages
- • Create — build new content
- • Choose Primary — resolve conflicts
- • Monitor — track performers
Matrix View & Hierarchy
Visualize your topic landscape:
- • Primary — core pillars
- • Secondary — supporting
- • Long-tail — niche opportunities
AI Merge Recommendations
Prevent cannibalisation:
- • Thin clusters to consolidate
- • Overlapping intents to merge
- • Distinct intents to keep separate
Local SEO & Multi-Location Support
A major decision factor for agencies and local SEO teams.
SEO Cluster AI
- Automatically detects location modifiers (6M+ locations)
- Separates local vs national intent in clusters
- Identifies when local queries outperform generic ones
- Local intent weighted more heavily in opportunity scoring (internal prioritisation, not a ranking guarantee)
- Supports multi-location and service-area businesses
Keyword Insights
- —No dedicated local SEO feature set highlighted
- —Local intent handled indirectly through SERP overlap
- —Built primarily for national/editorial SEO workflows
How Each Tool Helps You Prioritise
Deciding which clusters to work on first.
SEO Cluster AI
Uses an AI Opportunity Score combining:
- Search demand
- Current ranking position
- CTR gap
- Focus
- Local intent weighting
Prioritises clusters with the highest ROI potential based on your actual data.
Keyword Insights
Focuses on:
- SERP similarity analysis
- Intent classification
- Difficulty scores
- Traffic potential estimates
Manual judgement required for final prioritisation.
From Clusters to Content
| Output | SEO Cluster AI | Keyword Insights |
|---|---|---|
| Content briefs | ||
| Full landing pages | Separate workflow (AI Writer) | |
| Schema guidance | — | |
| Export formats | CSV, Word | Platform-based |
| URL → Cluster mapping | — | |
| Action recommendations | 5 types (Optimize, Strengthen, etc.) | — |
| Matrix/hierarchy view | — | |
| Target Pages (page-first output) | — | |
| Combined briefs (merged clusters) | — | |
| Client-ready PDF audit | — |
SEO Cluster AI goes further down the funnel — from clustering to execution.
Pricing Comparison
SEO Cluster AI
Keyword Insights
Pricing as of January 2026. Check each provider's website for current pricing.
Which Tool Fits Which Team?
SEO Cluster AI is ideal for:
- SEO agencies
- Local & multi-location businesses
- In-house SEO teams
- SEOs focused on optimisation, not just discovery
- Teams preparing for AI Overviews / GEO
Keyword Insights is ideal for:
- Content-led teams
- Editorial workflows
- Blog-heavy SEO strategies
- Early-stage keyword discovery
- Large-scale keyword research projects
When SEO Cluster AI May Not Be the Right Fit
- •You have fewer than 500 GSC queries (not enough data for meaningful clusters)
- •You need pure keyword discovery for a brand new site with no search history
- •You require processing of 200k+ keywords at once
For these use cases, starting with a discovery tool like Keyword Insights, Ahrefs, or Semrush may be more appropriate.
Want to learn more about SEO clustering?
Common Questions
Is SEO Cluster AI a replacement for Keyword Insights?
Not necessarily. SEO Cluster AI focuses on clustering and prioritising your actual Search Console data, while Keyword Insights excels at SERP-based keyword discovery and research.
Can I use both tools together?
Yes. Some teams use Keyword Insights for keyword discovery and SEO Cluster AI to optimise and scale content based on real GSC performance data.
Does SEO Cluster AI work for non-local SEO?
Yes. Local intent detection is optional. Semantic clustering works for national, informational, and commercial strategies as well.
Ready to Cluster Keywords Based on Real Performance?
Start Free with Google Search ConsoleNo credit card required · Cancel anytime