How does the pipeline-intent score work?
The scorer uses keyword heuristics published above the FAQ. Prompts with comparison intent ("X vs Y"), commercial intent ("best tool for"), and specific long-tail shape score higher. Vague informational prompts score lower. Everything runs in your browser.
Is the score calibrated against real conversion data?
The heuristics are derived from discovery-call patterns with B2B SaaS teams running AEO attribution. It's directional, not predictive at the precision of your own CRM data. Once you wire AEO attribution into HubSpot — our V1 integration — your own pipeline data replaces the heuristic.
What do "pipeline-predictive" and "vanity coverage" mean?
Pipeline-predictive (score 70+) means a citation on that prompt is likely to reach a buyer in a purchasing mindset. Vanity coverage (under 40) is the rest — they grow your share-of-voice chart but citations rarely convert. Amber (40-69) is a maybe.
Why do you say 7 prompts drive 80% of pipeline?
From audience research with B2B SaaS CMOs running AEO attribution, the long tail is lopsided. Most categories have 7 to 12 high-intent commercial prompts — "best tool for X", "X vs Y", "X alternatives", "how much does X cost" — and everything else generates noise without pipeline.
Can I pair this with Lantern itself?
Yes. Lantern is $99/mo or Enterprise and ships pipeline attribution on top of your actual prompt set. Use this tool to prune first, then wire the live ones into your CRM. Join the waitlist below.