You’re fighting two algos at once

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🧐Two Algorithms Now Decide Your Amazon Visibility. You Are Optimizing One.

Since May, every signed-in Amazon shopper moves through an AI layer before reaching the traditional results grid. That layer and the keyword algorithm underneath it run in parallel, judge products by different criteria, and reward different optimization work. Here is the split, in four facts.

1. Retrieval and ranking are separate decisions made by separate systems.

The AI layer decides which products get retrieved into AI overviews, comparisons, and recommendations. The keyword algorithm still decides how products rank in the traditional grid. A product can dominate one and be invisible in the other, because the inputs barely overlap.

2. The keyword layer reads your listing. The AI layer reads everything about you.

Traditional rank draws on title, bullets, backend terms, conversion rate, and velocity. The AI layer additionally parses structured attribute fields, review language, A+ content, and question-answer history to build a semantic model of your product. Empty attribute fields that never mattered for keyword rank are unanswered questions that exclude you from AI retrieval.

3. External demand signals feed both layers at once.

Converting traffic from outside Amazon carries elevated ranking weight in the velocity calculations, and the authentic content that generates it, creator posts, reviews from real purchases, use-case discussions, simultaneously enriches the semantic material the AI layer retrieves against. One motion, two algorithms served.

Stack Influence runs that motion at scale: micro-influencers from a network of 11M+ purchase your product on Amazon and publish genuine content to their own audiences. Brands using the channel have grown monthly Amazon revenue by up to 13X. You can sign up this week and save 10% on your first campaign.

4. The optimization split is now a resourcing decision.

Keyword work is mature, well-tooled, and competitive. AI-layer work, attribute completeness, review substance, use-case coverage, is early, under-tooled, and mostly uncontested. Equal effort in the second currently buys more visibility than the first, because so few competitors are doing it deliberately.

The immediate move: audit your top ten ASINs for attribute completeness and use-case review density, the two AI-layer inputs entirely within your influence. The keyword layer will keep rewarding the work you already do. The retrieval layer rewards work most of your category has not started.

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Your AI Knows What to Send. Omnisend Sends It.

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🚀Quick Hits

🎥 Google Photos added AI-powered Video Remix, letting users transform personal videos into stylized scenes with Gemini Omni, bringing advanced video editing and background generation to subscribers.

🔍 ChatGPT’s citations can change even for identical prompts, as hidden search pipelines use different retrieval systems behind the scenes, making AI visibility depend on crawlability, readability, and third-party references, not just rankings.

📊 Google Search Console now tracks Instagram, TikTok, X, and YouTube performance, letting creators see which Google searches drive traffic to their social content, along with clicks, impressions, and engagement across each platform.

🎬 X rolled out a redesigned iOS video editor, adding features like green screen recording, multilingual captions, and streamlined editing tools as it continues pushing creators to produce more original video content. 

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