Keyword Research

From Keyword Lists to Search & AI–Readable Demand Modeling CONTACT US

From Search Intent to AI Intent

Traditional keyword research focuses on classic search intent

  • informational
  • commercial
  • transactional

AI search introduces an additional, critical layer of intent:

  • Definition-based queries (What is / Explain)
  • Comparison queries (X vs Y)
  • Recommendation queries (Best / Top / Should I)
  • Decision-support queries (Which / How to choose)
Directly determine whether a brand is cited by AI systems.

Keywords Must Be Built on Entities

AI systems do not truly understand keyword rankings.

  • They understand entities and the relationships between them.

Modern keyword research must identify:

  • Core entities (brands, products, concepts)
  • Related entities (features, use cases, industries)
  • Attributes and relationships between entities
These keywords may have low volume, but high AI citation value.

Understanding Human vs. AI Queries

Human vs AI: Structural Differences in Search

  • Human queries: short, fragmented, ambiguous
  • AI queries are contextual natural language.

Effective SEO + GEO keyword research covers:

  • Long-tail question-based queries
  • Conversational, multi-turn queries
  • Prompt-style inputs
These keywords may have low volume, but high AI citation value.

SERP and AI Result Overlap Analysis

Google rankings alone are no longer enough

High-value insights come from identifying gaps such as:

  • High-ranking keywords uncited by AI
  • AI-frequent topics missing on site
  • Overlap: snippets, PAA & AI answers
These gaps represent true GEO opportunities.

Build AI authority via topic clusters

AI systems do not reward isolated pages. They reward topical completeness and authority.

Keyword research outputs → structured system

  • Core topics
  • Subtopics
  • Supporting queries
This structure supports both search crawling and AI comprehension.

Designing Keywords Specifically for GEO

Not all keywords are suitable for GEO.

High-priority GEO keywords are typically:

  • Fact-based and clearly defined
  • Low ambiguity, high credibility
  • Brand + entity combinations
These keywords shape how AI systems understand your brand.

Preparing for Future Queries

AI search amplifies the value of emerging queries.

Keyword research must continuously monitor:

  • Semantic shifts and new expressions
  • Changes in how users ask questions
  • Common AI-generated questions
This is the foundation of long-term GEO advantage.