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

I’ve spent the last year watching marketing teams scramble to understand why their organic traffic reports tell one story while their pipeline tells another. The missing link is almost always a need for AI search analytics tools.

The brand tracking dashboard says awareness is up. Social listening tools show steady mention volume. The PR platform logged a dozen media hits last quarter. But, none of those tools show how a brand shows up when a buyer asks ChatGPT, Perplexity, or Gemini for a recommendation.

I’ve spent considerable time testing free answer engine optimization tools across dozens of brand audits, and the verdict is clear: you don’t need a five-figure tech stack to get meaningful AEO data.

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.

AEO metrics every marketer should track in 2026

Answer engine optimization (AEO) is a marketing strategy designed to help brands appear more consistently and accurately within AI-driven answer engines such as ChatGPT, Perplexity, and Copilot.

GEO has found its place in the search landscape, and it’s reasonable to think that the future of generative engine optimization is guaranteed. According to Datos’s State of Search report, Q4-2025 saw some interesting changes. For the first time, AI tools had a consistent 1.31% to 1.34% of visits in the U.S. In previous quarters and reports, traffic to AI tools was growing. This stability in traffic suggests that AI search tools may have found their place in the wider search landscape.

Today, more and more buyers are beginning their journey with an AI-search. They may ask ChatGPT to compare products or use an AI-powered platform like Perplexity. Or, they’re just Googling an offering and reading the AI Overview, all without clicking a link. 

HubSpot realized that our buyers were moving from search engines to answer engines like ChatGPT, Gemini, and Perplexity — but we had no reliable way to measure AI visibility and understand whether our AEO plays were working.