Keyword Research Built for
Both Google and AI Search
9-tab deep analysis on any keyword: difficulty, AI citability score, intent, cluster map, content blueprint, SERP patterns, semantic keywords, competitor gaps, and entity mapping. Know which keywords earn AI citations — not just Google rankings.
The Keyword Tool That Tells You If AI Engines Will Cite Your Content
Traditional keyword tools answer: how hard is it to rank on Google? AI Keyword Intelligence adds: will ranking also earn AI citations? A single run gives you difficulty, opportunity, AI citability, full cluster architecture, and a complete content blueprint.
- ✓AI citability score from 1–10 per keyword
- ✓Full semantic keyword cluster with 30–60 NLP terms
- ✓Content blueprint with H1–H3 structure and word count target
Three steps to keyword intelligence results
Real example output from AI Keyword Intelligence
Everything AI Keyword Intelligence does for you
AI Citability Score
Rates any keyword 1–10 on the probability that content targeting it will be cited by AI engines — based on query type, answer patterns, and information gain opportunity.
Keyword Cluster Map
Maps the complete semantic territory — pillar keyword, main subtopics, long-tail variations, and question-based supporting keywords — for building topical authority.
Content Blueprint
Generates a complete content brief: recommended H1, H2–H3 structure, target word count, semantic keywords with placement suggestions, and entity requirements.
Competitor Gap Analysis
Identifies the exact subtopics and entities covered by top-ranking competitor pages that your target content should include to outperform them.
SERP Pattern Analysis
Analyses the content types, formats, and structures that currently rank for the keyword so your content matches the formats search engines expect.
Entity Mapping
Lists the brands, tools, people, and concepts that must be mentioned in your content for AI engines to recognise it as topically comprehensive.
Who uses AI Keyword Intelligence
- ✓Find keywords where AI citation potential is high
- ✓Build content strategies around AI-citability not just volume
- ✓Produce briefs that rank on Google and earn AI citations
- ✓Extend keyword research with AI citation potential scoring
- ✓Identify the clusters with highest topical authority opportunity
- ✓Deliver keyword strategies that demonstrate AI SEO value
- ✓Scale keyword research across multiple client niches
- ✓Create differentiated keyword intelligence reports
- ✓Include AI citation potential in client strategy presentations
Without vs With AI Keyword Intelligence
Frequently asked questions
about AI Keyword Intelligence
The AI citability score rates any keyword from 1 to 10 on the probability that content ranking for that keyword will also be cited by AI engines. It accounts for query type (informational queries score higher), existing AI answer patterns, information gain opportunity, preferred content formats, and topical authority accessibility. A score of 7 or above indicates strong AI citation potential worth prioritising.
Traditional tools answer: how hard is it to rank on Google? AI Keyword Intelligence adds: will ranking also earn AI citations? A keyword can have high Google difficulty and high AI citability simultaneously, meaning you might take 12 months to rank but earn AI citations within weeks with the right content format and schema signals. This dimension is completely absent from traditional keyword tools.
Consistently highest scoring: how-to queries (AI engines extract and cite step-by-step content), what-is and definition queries (AI engines cite definitional content that is accurate and entity-rich), best-of comparisons (comparison articles are heavily cited), versus queries (comparison content earns citations), and data-driven queries (content with specific sourced statistics is preferred for factual claims).
The cluster map identifies all semantically related keywords belonging to the same topical cluster as your entered keyword. Instead of analysing one keyword in isolation, it maps the full territory — showing the pillar keyword, main subtopic keywords, long-tail variations, and question-based supporting keywords. Targeting the complete cluster is how topical authority is built systematically.
Search volume data is sourced from multiple keyword data providers and refreshed monthly. Accuracy is highest for established keywords with 12+ months of consistent search history. For emerging or very niche keywords, the volume estimate carries a wider confidence interval and is displayed with an uncertainty indicator.
Yes. Fully available on the free plan with 15 runs per month. Each run provides the complete 9-tab analysis including all metrics, cluster map, content blueprint, competitor gaps, and entity mapping.
A healthy topical cluster typically contains 15 to 50 keywords — one pillar keyword, 4 to 8 main subtopic keywords, and 10 to 40 long-tail supporting keywords. Clusters smaller than 15 keywords usually represent undertapped niches where more opportunity exists. Clusters larger than 50 keywords are typically broad topics that should be split into sub-clusters for more focused content creation. AI Keyword Intelligence maps the natural cluster size based on real semantic relationships rather than applying an arbitrary number.
Keyword difficulty measures how hard it is to rank on Google's first page — based on domain authority of competing pages, backlink requirements, and content depth. AI citability measures how likely content ranking for that keyword will also be cited by AI engines — based on query type, existing AI answer patterns, information gain opportunity, and preferred content formats. A keyword can have high difficulty and high citability (hard to rank, but worth it for AI citations), or low difficulty and low citability (easy to rank, but AI engines rarely cite for this query type).
Keyword volume and difficulty data refreshes monthly. AI citability scores refresh every 4 to 6 weeks as AI engine citation patterns evolve. Semantic keyword clusters update when significant changes occur in how AI engines process and respond to the target query. For rapidly evolving topics — particularly in technology and AI — citability scores can shift meaningfully within a single quarter, making regular re-analysis valuable for strategic content planning.
Yes. Every AI Keyword Intelligence run exports a CSV containing the full cluster map — all keywords, their difficulty, volume, AI citability score, and cluster assignment. This can be imported into Ahrefs, Semrush, or Notion for use in your broader content workflow. The content blueprint section also exports as a formatted document for writer briefing. Export is available on all plans including the free tier.