The process of identifying which user questions and queries AI engines are answering — and which of those queries are relevant to your brand or category.
Prompt discovery is the upstream research that determines what to track in AEO. The challenge is that user prompts are not as visible as Google search queries; there's no Google Search Console for ChatGPT. Prompt discovery techniques include: analyzing your own customer support and sales call data, mining Reddit and Quora for questions in your category, using public datasets like WildChat (4.8M ChatGPT conversations), reviewing competitor content positioning, and using AI-powered prompt suggestion tools.
If you track the wrong prompts, your AEO measurement is meaningless. The prompts you track must reflect the questions your buyers are actually asking — not the questions you wish they were asking. Bad prompt discovery is the root cause of most failed AEO programs.
A B2B SaaS company selling project management software might think buyers ask 'best Asana alternative.' Prompt discovery via sales call mining might reveal that buyers more often ask 'project management software for engineering teams that integrates with GitHub' — a totally different prompt requiring different content.
The terms in this glossary aren't theoretical — they're what Lantern's product calculates and reports every month for B2B SaaS teams. See yours in 7 days. 14-day free trial.
Join Waitlist