By Zoe Ashbridge

Keyword research for AEO can feel overwhelming because audiences are searching for almost everything in AI search, and queries are nuanced and personalized.

The data isn’t as clear as it used to be. There are no accurate search volumes for AEO search prompts. Yet, it’s critical that search specialists, such as SEO and GEO/AEO professionals, know how to gain visibility in these tools.

The good news? There’s an overlap between traditional keyword research and answer engine optimization keyword research.

This guide covers the core differences between SEO and AEO keyword research, the principles that underpin an effective AEO keyword strategy, the tools that support AEO workflows, and how to apply these approaches in practice.

Table of Contents

• How is keyword research for AEO different from SEO?
• Core Principles for AEO Keyword Research
• Keyword Research for Answer Engine Optimization: Step by Step
• Keyword Research Tools for AEO
• Frequently Asked Questions About Keyword Research for AEO
• Use AEO keyword research and win visibility

How is keyword research for AEO different from SEO?

Traditional keyword research underpins organic visibility, but it’s no longer enough to grab a list of keywords and drop them into content.

Here’s why:

Searchers are no longer typing one-word to five-word keywords into Google. Search is elaborate, nuanced, and personalized. One search can span multiple sentences — even a paragraph or three — with unprecedented detail.

Ofcom’s qualitative generative AI search study supports the idea that people use AI search for longer, more detailed searches. They found that AI search tools are most valued when users ask highly specific, detail-rich questions; the kind of answers that would require multiple queries and significant manual research in traditional search.

In traditional SEO, keyword research has focused on quantitative data like:

• Search volume
• Competitiveness
• Keyword difficulty

Then, users sifted through blue-link listings until they found their answer on a website page. SEO specialists measured success by position on the search engine results pages (SERPs), impressions, and clicks.

In AI keyword research, the focus is mostly on qualitative data like:

• Relevance
• Audience intent
• Problems and solutions

Users expect answers from a range of sources presented within the SERP. Consequently, users don’t click through to a website, so SEO and content pros don’t have the same visibility into how a page ranks. Instead of relying on search volume or clicks as a measure of success, GEO experts consider visibility a metric, qualitative data, such as clicks from AI sources, and, importantly, conversions.

Pro tip: I’m not going into great detail about the reporting side of things in this article, but if you’re interested in that, read this article on SEO reporting. It includes what to put in to demonstrate AI search success.

The table below compares AEO keyword research with traditional SEO keyword research:

HubSpot’s SEO tools within Marketing Hub help bridge this gap …read more

Source:: HubSpot Blog

Author: Aaron