How often AI engine responses are sampled for tracked prompts. Common frequencies are 5×, 25×, or 50× per day per prompt per engine.
AEO monitoring frequency determines the statistical confidence of citation tracking. Higher frequencies (more samples per day) produce more reliable data but cost more in API calls. Common tiers: 5× daily (Starter tools), 25× daily (Growth/mid-market), 50× daily (Pro/enterprise). The trade-off is cost vs reliability: at 5× daily, single-day citation changes are statistical noise; at 50× daily, single-day changes are statistically meaningful.
Low monitoring frequency means you can't detect small competitive shifts in time to react. High frequency adds cost without improving the daily-decision quality. Most mid-market teams find 25× daily is the right balance.
Lantern Growth tier samples each prompt 25× per day across 4 AI engines. For 150 prompts: 150 × 25 × 4 = 15,000 API calls per day. Over a month: 450,000 API calls. At Claude Haiku batch pricing, this costs ~$300/month per Growth-tier customer.
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.
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