LightspeedHQ is likely to be cited by AI engines for evaluation and conversion queries because it has strong third-party review visibility (e.g., G2 seller page exists and TrustRadius has product review pages) and it publishes publicly accessible tiered pricing (e.g., restaurant POS pricing shows USD amounts). The highest-ROI fix is to strengthen first-party evaluation surfaces for AI (especially SoftwareApplication/FAQPage structured data and first-party “[Brand] vs [Competitor]” pages that clearly recommend Lightspeed), because those are the most common gaps for “alternatives to X” and “is X worth it” citation patterns.