
For Answer Engine Optimization, a GitHub-hosted static site wins if you have developer capacity, and WordPress wins if you do not. Here is the reasoning, criterion by criterion, from structured data depth and crawler access to publishing automation and time to first post.

There is no single best CMS for AEO. Four things decide whether ChatGPT, Claude, Gemini, and Perplexity can cite your blog: server-rendered HTML, one clean sitemap, allowed AI crawlers, and answer-first writing. Here is how to audit and repair the stack you already own.

A mention count tells you something happened. The stored answer text tells you what happened: where you appeared, how you were framed, who else got named, and which sources the engine leaned on.

Mention rate, average position, share of voice, citation share, and AI-attributed revenue: the concrete metrics marketing teams use to track how often their brand gets recommended by ChatGPT, Claude, Gemini, and Perplexity.

The fastest way to set up AI answer engine monitoring is to pick 10 to 20 real buyer questions, ask each one verbatim on ChatGPT, Claude, Gemini, and Perplexity every day, log which companies get named, and flag every invisible prompt as a content gap.

Citation share of voice, AI-referred sessions by engine, and revenue tied to the specific post that earned the mention: the three metrics that actually tell you whether your AEO content is working in ChatGPT, Claude, Gemini, and Perplexity.

A practical breakdown of AEO tools for B2B SaaS founders and growth teams in 2026, covering which categories exist, what each does well, and which one actually closes the loop from AI citations to attributed revenue.

AI visibility is not one tool, it is four jobs. A guide to the prompt monitoring, content, attribution, and site health tools that actually close the loop in 2026, and which category to shop for first.