Yogi aggregates reviews for enterprise CPG brands. Ontevo puts a dollar figure on what those reviews are costing you, and drafts the fix.
Yogi is a Unified Voice of Customer platform built for enterprise CPG teams: it ingests reviews from 400+ retailers and app stores, layers AI plus human-validated theme detection on top, and lets analysts query the corpus in natural language through Ask Yogi AI. For a packaged-goods brand with a staffed analytics function, that ingestion depth is real and expensive to rebuild. Ontevo starts from the same review evidence and ends somewhere else: every theme carries a dollar figure and a drafted fix, the Full Diagnostic benchmarks each one against a cohort of up to 10 direct competitors, and agents run the repeatable fixes once you approve them. Yogi tells your team a theme is trending in the reviews. Ontevo tells you what that theme is costing you and hands you the fix to ship this week.
Yogi is the right tool if you are an enterprise CPG brand with a staffed analytics function, you need SKU-level review analysis across every retailer and app store where your products are listed, and you have the analysts to turn a detected theme into an action plan yourselves. Its ingestion depth and human-validated taxonomies are hard to replicate at that scale. Ontevo is built for the gap that leaves: brands and operators who need a theme turned into a dollar figure and a drafted fix, starting at $245 a month, without a standing analyst team to interpret the evidence. If your problem is organizing enterprise-wide feedback across dozens of retailers, start with Yogi. If your problem is knowing what your reviews are costing you and what to fix first, that is Ontevo. Some larger consumer brands run both: Yogi as the feedback archive, Ontevo as the dollar-quantified priority list.
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