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AI-Powered

Topic Clusters

AI-powered semantic clustering groups your keywords into meaningful topics. Build the pillar-cluster content structures that Google rewards with higher rankings and topical authority.

blog strategyeditorial calendarcontent opspublication workflowseo copywritingkeyword densitymeta descriptionstitle tagscontent auditperformance metricsdecay detectiontraffic analysisContentMarketingAuthority: 87/100
The Problem

Without Topic Clusters...

Your content is a scattered collection instead of a strategic moat.

Critical

No content strategy structure

Most sites have hundreds of pages with no organizing principle. Google can't determine your topical authority.

Critical

Random content creation

Without cluster mapping, teams create content ad-hoc, missing gaps and duplicating topics unknowingly.

Pain Point

Missing topical authority

Google's algorithms favor sites that demonstrate deep topical coverage. Scattered content can't compete with organized competitors.

See It in Action

Semantic Topic Map

Bubble visualization showing cluster size, authority score, and growth trends.

seoinputs.com/dashboard
Topic cluster bubble visualization with authority scores
Capabilities

AI-Powered Content Intelligence

Seven tools to build topical authority strategically.

AI Keyword Mapping

384-dimension embeddings cluster keywords by semantic similarity, not just string matching. Powered by MiniLM-L6-v2.

Authority Scoring

Each cluster gets an authority score based on content depth, keyword rankings, and competitive coverage.

Growth Trends

Track how each cluster's aggregate clicks, impressions, and position change over time.

Top Queries per Cluster

See which keywords drive the most traffic to each topic cluster, sorted by impressions.

Content Suggestions

AI-generated content ideas to fill gaps in your cluster coverage and strengthen topical authority.

Content Gap Detection

Identify topics your competitors rank for that you haven't covered yet, organized by cluster.

Period Comparison

Compare cluster performance across time periods to measure the impact of your content strategy.

Sub-Features

Drill into Cluster Data

Keyword Mapping

Visualize which keywords belong to which topic clusters with semantic proximity.

Authority Scoring

Measure topical authority per cluster with composite depth/ranking/CTR scores.

Content Gaps

AI-identified subtopics you haven't covered yet, organized by potential impact.

How It Works

From Keywords to Strategy in Four Steps

01

Semantic Embedding

Every keyword from your GSC data gets a 384-dimensional vector embedding capturing its semantic meaning.

02

Automated Clustering

Qdrant vector search groups semantically similar keywords into topic clusters automatically.

03

Authority Scoring

Each cluster is scored on content depth, ranking distribution, and click-through performance.

04

Gap Analysis

AI identifies missing subtopics within each cluster and suggests content to fill the gaps.

Under the Hood

Vector-Based Semantic Clustering

We use state-of-the-art NLP models — not simple keyword matching.

Embedding ModelXenova/all-MiniLM-L6-v2
Vector Dimensions384
Vector DatabaseQdrant
Clustering MethodHNSW + Cosine Similarity

Build Topical Authority with AI

Start clustering your content in minutes. No credit card required.

Topic Clusters | SEOInputs — AI-Powered Content Organization | SEOInputs