The next search engine is already here.

The Problem

Amazon SEO is a solved game. Your competitors have done it. The next search channel is unsolved, and the window to establish position is now.

For 20 years, "product discoverability" meant Amazon search rank and Google Shopping. Those are still important. But a growing share of purchase-intent research now starts with an LLM query: "What's the best condenser mic under $300?" "Which DJ controller is best for beginners?" "What professional audio interfaces do recording engineers actually use?"

These queries return narrative recommendations, not keyword-ranked lists. The brands and products that appear in those recommendations get purchase consideration from buyers who never opened Amazon's search bar. The brands that don't appear don't exist to that buyer.

Most Amazon sellers have no data on this at all. They don't know whether their products appear in LLM recommendations, how often, in what context, or how they compare to competitors. They can't measure what they can't see.

Why This Matters Now

The sellers who establish AI visibility in 2025 and 2026 will have a structural advantage in 2027 and beyond. LLMs are trained on historical data; the citations they make today compound into recommendation frequency tomorrow. Waiting until AI search is "mainstream" means optimizing after the positions are already taken.

How It Works

AVO works in three layers. First, visibility tracking: we query major LLMs with the product category searches your customers use and record whether your products, brand, and ASINs appear in the responses. You get a share-of-voice score over time, broken down by LLM and query type.

Second, content gap analysis: we compare your product listings, A+ content, brand story, and web presence against the content signals that correlate with LLM citations. Listings that are thin on specification depth, missing structured data, or absent from authoritative review sites are flagged for improvement.

Third, competitive benchmarking: you see not just your own score, but how it compares to your direct competitors on the same queries. If a competitor appears in 70% of "best condenser mic" responses and you appear in 20%, you know the gap and you know what content changes close it.