I’m launching betterAEO, a tool we’ve been building to help websites understand and improve how they appear in AI-generated answers from tools like ChatGPT, Google AI Overviews, Perplexity, and Claude.

The motivation came from noticing that traditional SEO metrics don’t capture how AI engines select and summarize content. Sites with strong SEO can still be invisible in AI summaries, meaning users get answers that favor competitors even when your content is high quality.

betterAEO lets you:

- Measure your site’s AI-readiness with a single AEO Score - Identify gaps in schema, snippets, trust signals, topical authority, and answer formatting - Get AI-powered recommendations to fix or improve issues and boost visibility - Track progress over time with historical scoring and reporting

You can run single-page scans or full-site crawls. No signup is required for testing, and you can see results instantly: https://betteraeo.com

Background & Approach:

betterAEO was created based on extensive research, articles, and publicly available guidelines on Answer Engine Optimization (AEO) as of today. It is constantly evolving, adapting to new AI signals, trends, and best practices as they emerge. The system evaluates multiple signals, including structured data, content alignment with search intent, technical crawlability, answer presentation, and more, and provides actionable recommendations powered by AI.

We built this while working with SEO teams and content marketers frustrated that AI engines increasingly control visibility, but there was no structured framework to measure or optimize for it.

I’d love feedback from the HN community, especially on the usefulness of the AEO score, the AI recommendations, and any additional signals you’d want to see measured.