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Amazon’s Semantic Search Era Is Here. Is Your Launch Strategy Ready?

Published

July 31, 2026

Vincent Ninh
Senior Content Marketing Manager, Right Side Up

TL;DR: The new Amazon launch playbook

• Amazon SEO is evolving: Keywords still matter, but Amazon increasingly evaluates context, shopper intent, use cases, product relationships, and other semantic signals.
• Think beyond rankings: Instead of optimizing for individual keywords, brands should aim to earn the right product neighborhood—the cluster of products, need states, and shoppers Amazon associates with an ASIN. ‍
• Use AI to strengthen strategy, not replace it: AI can accelerate research and uncover hidden customer insights, and it's vital to a successful launch. However, experienced marketers are still needed to validate positioning and make strategic decisions.
• Your PDP is more than a sales page: It should serve as an answer engine that helps both shoppers and Amazon understand where it belongs. ‍
• Build for lasting relevance, not just launch momentum: A strong semantic foundation can lead to more durable organic visibility and reduce reliance on PPC after the initial launch period.

Amazon SEO is shifting from keywords to semantic relevance

Traditional Amazon SEO focused heavily on whether the words in a shopper’s query appeared in a listing.
Semantic discovery goes further. It attempts to understand the meaning and context behind the shopping journey.
Jack describes Amazon’s search environment as a broader “constellation” of relevance. Signals may include:

• Shopper intent and need state
• Product imagery
• Usage occasions
• Customer profile
• Product attributes and claims
• The products surrounding an ASIN
• How shoppers respond when the product appears

The new goal: Earn the right product neighborhood

What we’re calling a product neighborhood is the cluster of substitute products and shopper need states into which Amazon’s product graph places an ASIN.
It can influence:

• Which searches surface the product
• Which detail pages it appears alongside
• Which items Amazon treats as substitutes
• Which shoppers are most likely to discover it

“You no longer care about just winning a keyword. You want to earn a product neighborhood.” — Jack Atlasov, Director of Agentic Commerce, Right Side Up

Your PDP needs to become an answer engine

In a semantic discovery environment, the product detail page (PDP) has two big jobs.
It must persuade the shopper, and it must give Amazon enough information to understand everything it needs to know about the product: what it is, who it serves, and where it belongs.
Titles, bullets, imagery, attributes, and A+ Content should reinforce the same messaging.

Why keyword-first launches lose momentum

Many Amazon launches start fast, then fizzle out.
Sales accelerate during the first few weeks, supported by aggressive PPC and launch activity. But when paid investment decreases, organic performance often declines with it.

How AI changes the research behind a launch

Defining a product neighborhood requires more research than building a keyword list.
It doesn’t mean you have to do all of it yourself.
In one example from the webinar, a launch process for a skincare product incorporated more than 400 inputs, including PDPs, reviews, questions and answers, product attributes, Search Query Performance data, Product Opportunity Explorer data, and broader marketplace information.
AI helped synthesize those inputs into a master launch plan covering positioning, claims, substitute clusters, customer profiles, need states, PDP requirements, and advertising structure.

AI accelerates the work, but human experts still make the call.

Yes, AI does a lot. But it is not an autonomous strategist.
Experts still need to validate the sources, positioning, substitutes, claims, and final strategy.

Build for relevance, not just rank

Amazon SEO is still here, but it’s just becoming more contextual—like everything else in search.
Instead of asking only, “Which keywords do we want to rank for?” teams should ask:
“Which product neighborhood do we have the evidence and positioning to earn?”

Watch the full webinar to see how Right Side Up combines Amazon expertise with AI-enabled research and execution.