A prototype for Answer Engine Optimisation: scoring articles for answerability, highlighting missing questions, and generating improved titles and metadata - built for an AI-first search world.
What happens when search becomes answers, not clicks? This tool explores how editorial teams can adapt their writing to an environment where AI summarises your content before users see it.
The system checks whether content directly answers real audience questions - not just keywords or SEO patterns.
Surfaces gaps: questions users would ask but your article does not address.
Generates clearer, more structured titles and descriptions tailored for both humans and LLM-based search.
Built as a fast editorial assistant for clarity and AI-readability.
Writers paste the article text and instantly receive answerability, clarity, and AEO metrics.
The tool extracts the key questions the content answers - and which ones it ignores.
Generates human-ready and AI-ready titles, descriptions, and missing FAQ suggestions.
A quick run-through of how the tool checks answerability, headings and metadata, then suggests concrete improvements.