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Keyword Insights

Keyword Research

AI keyword clustering with search intent mapping

Overview

Keyword Insights emerged from the London SEO scene in 2021 with a specific mission: solve the keyword clustering problem that plagued content strategists. While tools like Ahrefs and Semrush excel at keyword discovery, they leave users drowning in thousands of uncategorized keywords. Keyword Insights applies machine learning to group these keywords by search intent and semantic similarity, revealing which keywords can realistically be targeted on the same page.

The platform's core innovation lies in its clustering algorithm, which analyzes SERP overlap rather than just keyword similarity. This means keywords get grouped based on whether Google shows similar results for them, not just whether they contain similar words. The result is more accurate content planning that aligns with how search engines actually categorize topics.

Founded by Andy Chadwick, the tool has gained traction among enterprise SEO teams and agencies who need to process large keyword datasets efficiently. It competes directly with MarketMuse's content planning features while offering more accessible pricing than enterprise-focused platforms.

Score breakdown

Composite Score

29.9
#8 of 15 in Keyword Research#196 of 508 overall
Feature Depth20.0
Ease of Use50.0
Data Quality0.0
Value for Money68.0
Integration20.0
Market Traction18.0

Our review

Keyword Insights uses AI to cluster keywords by SERP similarity, classify search intent, and generate content briefs. A powerful tool for content strategy — turning large keyword lists into organized content plans.

Pros

  • AI-powered keyword clustering based on actual SERP overlap
  • Search intent classification (informational, commercial, transactional, navigational)
  • Automated content brief generation from clusters
  • Bulk processing of thousands of keywords

Cons

  • Credit-based pricing can be expensive for large datasets
  • No rank tracking or site audit features
  • Learning curve for using clustering effectively

Best for

Content strategists organizing large keyword lists into content plansSEO teams wanting data-driven content clusteringAgencies building content strategies for clients at scale

Key features

AI Keyword Clustering

Groups thousands of keywords by search intent and semantic similarity, revealing content opportunities at scale.

Search Intent Mapping

Automatically classifies keywords by informational, commercial, transactional, and navigational intent using machine learning.

Content Gap Analysis

Identifies missing content opportunities by comparing your coverage against competitors' ranking keywords.

SERP Feature Detection

Analyzes which keywords trigger featured snippets, People Also Ask, and other SERP features.

Content Brief Generation

Creates data-driven content outlines with recommended headings, word counts, and related topics.

Competitor Content Analysis

Maps competitor content strategies and identifies their keyword clusters and content themes.

Pricing

PlanPriceIncludes
Starter$58/mo1,000 keywords/month, basic clustering, content briefs
Professional$118/mo5,000 keywords/month, advanced clustering, SERP analysis
Business$238/mo15,000 keywords/month, white-label reports, team collaboration
EnterpriseCustomUnlimited keywords, API access, custom integrations
Price verified 2025-02-01 · USDView vendor pricing

FAQ

How accurate is the AI keyword clustering?

The clustering uses machine learning trained on SERP overlap data, achieving roughly 85-90% accuracy in grouping semantically related keywords. Manual review and adjustment options are available.

Can I import keywords from other SEO tools?

Yes, you can import keyword lists from CSV files or integrate with tools like Google Search Console, Ahrefs, and Semrush.

What's the difference between clustering and grouping keywords?

Clustering uses AI to group keywords by search intent and SERP similarity, while traditional grouping relies on keyword similarity. Clustering reveals which keywords can be targeted on the same page.

Does it work for non-English keywords?

Currently supports English, Spanish, French, German, Italian, Portuguese, and Dutch markets with varying levels of clustering accuracy.

How does the content gap analysis work?

It compares your domain's ranking keywords against competitors to identify clusters where they rank but you don't, revealing content opportunities.

Capabilities

AI Visibility Metrics

Share of Voice
Sentiment Analysis
Citation Tracking
Competitor Tracking
Trend Tracking
Alert System
Geo/Location Filter
Language Filter

Content & Optimization

Content Editor
Content Generation
Content Briefs
Schema Generator
Site Audit

Entity SEO

Internal Linking

Traditional SEO

Keyword Rank Tracking
Search Intent Classification
Keyword Difficulty
Keyword Research

Technical & Integrations

API
CSV Export
Chrome Extension
WordPress Plugin
Open Source
Deployment: cloud

aiseo.is Score

29.9

#8 of 15 in Keyword Research

GS
Garrett SmithExpert reviewer
20+ yrs in SEO3+ yrs AI for SEO20K+ campaigns

Review Sentiment

Overall★★★★½4.6

35 reviews across 2 sources

People love

  • +AI-powered keyword clustering groups thousands of keywords by search intent automatically
  • +Content gap analysis identifies missing topics in your existing content strategy
  • +Brief generator creates data-driven outlines based on SERP analysis and clustering

Common complaints

  • Credit-based pricing at $58/mo can run out quickly with large keyword lists
  • Clustering accuracy depends heavily on the quality of input keywords
  • No built-in content editor or optimization scoring — requires external writing tools

🟠Reddit sentiment

positive

10 threads in SEO, bigseo, DigitalMarketing

Good for keyword clusteringPrevents keyword cannibalizationNot cheap/expensive pricingAI-powered content generation

keyword insights does this clustering thing based on what actually ranks together instead of just similar words. saves me from making pages that compete with each other.

r/DigitalMarketing

If you use something like Keyword Insights, you can then click a button and actually have the things written for you as well.

r/localseo

🔵𝕏 sentiment

positive

1 posts

Underrated toolRecommended for 2026Paid tool worth the investment

The Most Underrated SEO Tools Going into 2026: Keyword Insights (💰) ClassySchema (🆓) SEOTesting (💰) InLinks (💰) Answer Socrates (🆓) MarketMuse (💰) SiteBulb (💰) Profound (💰) Ahrefs Free Suite (🆓) Schema Markup Validator (🆓) Link Research Tools (💰)

@Charles_SEO

Last updated Feb 2026

Quick Facts

CategoryKeyword Research
Starting price$58/mo
Pricing modelSubscription
Free tierNo
Free trialYes
Founded2021
HQUnited Kingdom
Websitekeywordinsights.ai

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