Digital Merchandising
Grow Your Brand’s Visibility Within Rufus, Amazon's AI Chatbot

How does a premium brand compete with all the ‘noise’ on Amazon? How do we properly communicate product value propositions that set us apart in an increasingly competitive space? After struggling with this for years, it was Brandwoven’s innate understanding of content and merchandising strategies that put us back on a solid growth path.
Navigating the Future of Algorithmic Discovery
How We Adapt Your Brand for the Agentic AI Shopping Funnel
Semantic Search & Catalog Structuring
Human-Guided AI Strategy
Visual Data Extraction
Proactive Marketplace Intelligence
Amazon's AI assistant, Rufus, factors in product information both on and off Amazon. Brands must manage all potential sources of content that AI could reference when assisting customers with shopping for their products.
The Prerequisite for AI Success: A Strong Catalog Foundation
Many companies in the industry are currently claiming that to rank in new AI search tools, brands must practically start from scratch. At Brandwoven, we take a different approach because we know the work you have already done is incredibly valuable to your customers. The fundamentals of a premium brand—proper catalog setup, high-quality visuals, clear branding, and easy-to-digest product page content—remain the most critical prerequisites for algorithmic success.
Whether your brand’s goal is securing Rufus AI visibility on Amazon or appearing as the definitive recommendation from Walmart’s Sparky chatbot, these models do not operate in a vacuum. A detailed, accurate, and structurally optimized product page is already inherently bot-ready because AI shopping agents must first read and thoroughly understand your product page in order to recommend it to users. When a user interacts with conversational AI chatbots, it is scanning all of your historical data, customer reviews, Q&As, and backend attributes to determine if your product is the right fit before recommending it to a customer. This means a solid catalog foundation gives you a massive head start.
Instead of erasing your hard work, we refine it. We know that your existing digital merchandising assets and social proof are actively being read by AI algorithms to verify product quality and fit. By taking your strong starting point and elevating it, we ensure your brand message remains intact while perfectly positioning your products to capture market share within the agentic AI ecosystem.
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ASINs Managed Daily
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Start Optimizing for Agentic Commerce

Stay Ahead of the AI Marketplace Race
Expert AI Solutions Designed for Maximum Market Share
The Shift from SEO to GEO (Generative Engine Optimization)

The Shift from SEO to GEO (Generative Engine Optimization)
The data is undeniable; during the 2025 holiday season, AI-driven traffic to U.S. retail sites surged by 805%. Shoppers who were directed to a retail website from an AI platform were 30 times more likely to make a purchase. If you are not auditing and optimizing your product pages for AI readability now, your products are practically invisible to a rapidly growing demographic of highly motivated buyers.
To address this, we start by conducting a comprehensive audit of your product pages for accurate catalog data and conversion-focused copywriting. From there, we identify and apply tailored updates as needed, which can range from small refinements to full rewrites, depending on the custom additions your brand requires. When rewrites are needed, we make sure to align them with Generative Engine Optimization (GEO) best practices to help with growing your AI visibility.
AI models are trained on natural language, meaning the days of awkwardly stuffing keywords into titles are over. Because Brandwoven does not use cookie-cutter approaches, we carefully evaluate the strength of your existing marketplace foundation before deciding whether changes (and to what extent) are necessary. We look at whether your product page copy explicitly states the problems your product solves, to help with conversion rate optimization. If your listings require revisions or other support (like variation set-up, for example), we thoughtfully address those, knowing that a strong foundation is also important to get right before investing in advertising or other promotional activities. Our goal is to balance readability with your brand voice, rather than just listing features.
Dominating Amazon Rufus

Dominating Amazon Rufus
Rufus doesn’t just read your current bullets; it reads all historical data, customer reviews, Q&As, and backend attributes. We implement targeted visibility strategies that turn your brand’s PDPs into pristine data sources for Amazon’s native AI.
We start with a comprehensive catalog audit to determine exactly how much support your brand requires. During our audit, we look at whether there are any messy variation nomenclatures that need fixing, fill any gaps in your backend metadata, and embed answers to common customer questions directly into your A+ Content. Whatever gaps your listings may have, our approach is right-sized to your unique brand’s needs.
With over 250 million customers using Rufus in 2025, this AI assistant is actively influencing purchasing decisions. Rufus acts as a gatekeeper, possessing the power to tell a shopper “Yes, this fits your needs” or “No, here is a different product” based entirely on your PDP content. A detailed, accurate, and structurally optimized PDP is the prerequisite for winning Rufus’s recommendation.
Expanding Across the Agentic Commerce Landscape

Expanding Across the Agentic Commerce Landscape
We provide strategic and comprehensive services for agentic AI optimization across the entire digital landscape, including Amazon, Walmart, Instacart, and external LLMs. We do this by tailoring your content to the unique AI strategies of different marketplaces based on your catalog. For example, Walmart’s AI chatbot, Sparky, focuses on event-based planning. With this in mind, we can position your products as specific use-case solutions directly in the copy (e.g., “best sunscreen for a tropical vacation”).
Having a multi-channel presence is important because Amazon is actively blocking external AI crawlers, meaning even the best Amazon listing will not necessarily help your brand show up in ChatGPT or Google Gemini chats. To capture off-platform AI traffic, you must maintain a robust presence on hybrid marketplaces like Walmart and ensure your data is perfectly consistent across all external touchpoints.
In the era of algorithmic discovery, multi-channel visibility is necessary. While Amazon’s conversational AI chatbot, Rufus, will dominate which products are visible on its own platform, maintaining highly optimized catalogs across other marketplaces help your brand be recommended by Walmart Sparky and external LLMs. With a multi-channel presence, the goal is to capture every possible corner of the agentic shopping funnel.
Whether you are already active across the digital landscape or just starting to wonder if a new marketplace makes sense for your brand, Brandwoven acts as your strategic consultant. We evaluate your specific business goals, target demographics, and operational capabilities to determine if an expansion is truly a profitable fit. Drawing on decades of brand-side and marketplace experience, we provide candid feedback on where we have seen brands succeed and fail. We outline the critical factors you must consider before expanding and, if the fit is right, manage the entire transition on behalf of your brand. Taking the time to understand what your current retail partnerships look like, we promise to take a thoughtful approach that doesn’t cause any disruption to your existing business or other channels.
Your AI Optimization Questions, Answered
Do I actually need to optimize for AI right now, or is this just a fad?
Agentic commerce is already here. AI-driven retail traffic surged 805% year-over-year during BFCM, and shoppers using AI are significantly more likely to convert. If your product pages are not structured to be readable by AI shopping assistants today, you are actively losing market share to competitors who are.
How does Generative Engine Optimization (GEO) differ from traditional Amazon SEO?
Traditional SEO relies heavily on lexical search: exact character matches and keyword density. GEO focuses on semantic search, which interprets the intent and context behind a searched phrase. Instead of keyword-stuffing, GEO requires natural, grammatically correct phrasing, highly accurate backend metadata, and content that clearly explains the problems your product solves.
Will Brandwoven use AI to write my product listings?
We use AI as a powerful co-pilot, not an autopilot. While AI tools are excellent for rapid data analysis, competitive research, and initial ideation, they can produce generic language or inaccurate claims if left unsupervised. We prioritize a human-guided approach. Our experienced copywriters and catalog experts validate every piece of content to ensure it perfectly aligns with your premium brand voice and strict compliance standards.
How do we improve our Amazon Rufus AI brand visibility?
Rufus acts as a synthesizer of your entire product ecosystem. It reads your titles, bullet points, A+ Content, backend attributes, customer reviews, and Q&As to determine if a product fits a user’s prompt. We improve your visibility by ensuring your catalog data is impeccably clean, your variation structures are logical, and your imagery contains simple text overlays that Rufus can extract and relay to shoppers.
If we sell on multiple channels, how does AI impact our brand consistency?
AI engines like ChatGPT and Gemini crave consistency. If your Walmart listing has a product specification that is different than your Amazon listing, AI models view this as a discrepancy, losing trust in the data. Our holistic marketplace management ensures your brand messaging is uniformly accurate across all platforms, establishing your brand as the authoritative source of truth.
See Our Work in Action



