How to do keyword research for AEO (+ Tools)

By esantiago@hubspot.com (Erica Santiago)

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When I first started auditing content for answer engine visibility, I assumed the keyword research process was roughly the same as traditional SEO — just with a few tweaks. I was wrong.

Answer Engine Optimization (AEO) keyword research isn’t just about finding what people search. It’s about understanding what answer engines are asked, how they interpret those prompts, and which questions your content needs to answer directly and authoritatively. The entire mental model shifts from ranking to getting cited.

This guide breaks down exactly how to approach that shift, which tools actually help, and how to build a workflow that connects question discovery to published, AI-optimized content.

Table of Contents

How Keyword Research Differs for AEO vs. SEO

Traditional SEO keyword research is grounded in real user data: monthly search volume, keyword difficulty, and potential click-through rate. Tools like Ahrefs and Semrush surface what people type into Google, and you optimize content to rank for those terms.

AEO flips several of those assumptions.

SEO keyword research prioritizes:

  • Monthly search volume
  • Shorter, navigational, or transactional queries
  • Ranking position in the 10 blue links
  • Traffic is the primary success metric

AEO keyword research prioritizes:

  • Question-based and conversational queries
  • Fanout queries — the cluster of sub-questions a single prompt triggers
  • Alignment with user intent at a semantic level, not just lexical match
  • Visibility in Gemini, ChatGPT, Perplexity, and other answer engines
  • Citation likelihood, not just ranking position

The practical difference is that when someone asks ChatGPT, “What’s the best CRM for a small marketing team?”, the model doesn’t return a ranked list of pages. Instead, it synthesizes an answer from content it has indexed and deemed authoritative.

Your job is to be the source the model trusts.

AEO keyword research tools help discover conversational and question-based queries that align with how users prompt answer engines. AEO tools differ from SEO tools in that they focus on answer engine visibility, prompt patterns, and answer-first content opportunities — not just search volume and backlinks.

Pro tip: Start your AEO keyword research by reading your own brand’s AI Overview appearances in Google. Search for your category (e.g., “best email marketing software”) and note which questions trigger AI-generated summaries.

Those are the AEO targets worth owning first.

Keyword Research Tools for AEO by Goal

There’s no single “AEO keyword tool.” The best stack combines traditional question-discovery tools with newer answer engine visibility trackers and synthetic query generators. Here’s how I categorize them, and which ones I’d actually use.

Traditional Keyword Research Tools

Traditional SEO tools are still essential for AEO, but you need to know how to use them differently. Rather than chasing high-volume head terms, I use these tools …read more

Source:: HubSpot Blog

      

Aaron
Author: Aaron

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