E-commerce
October 2, 2026
Wondering how to market effectively to both humans and machines? The rise of AI buying agents is disrupting the customer journey: now, your store must convince both consumers and the algorithms acting on their behalf. This is a major challenge for any e-commerce merchant wishing to remain visible and relevant.
Concretely, this means your marketing strategy must address two distinct targets: humans, whose preferences need to be shaped, and machines, which require structured data and flawless catalogs. Neglecting either will lose you sales to better-prepared competitors.
So, how do you market to both humans and machines? On the agenda:
Why are AI agents transforming the buying journey?
How do you prepare your product data for machines?
What marketing tactics can influence humans?
How does Qstomy help you sell to both targets?
What is the checklist before launching your dual strategy?
Let's get started.
Summary
Why are AI agents transforming the e-commerce buying journey?
AI purchasing agents act on behalf of consumers: they search, compare, select, and sometimes purchase products for them. Gone are the days when buyers themselves browsed digital shelves. These agents use the user's declared and inferred preferences to make their choices.
For merchants, this is a paradigm shift. You are no longer just addressing a human browsing your site, but also a machine consulting your data. As McKinsey points out, the consumer no longer travels alone: their digital proxy now navigates the commercial ecosystem in their place.
Concretely, this means that your store must be designed to be readable by both. A pleasant site for humans is no longer enough. Your product information must also be understandable and actionable by the algorithms that will decide whether or not to recommend you.
This dual requirement demands a rethinking of your priorities. User experience remains essential, but it must be accompanied by flawless technical rigor. AI agents favor complete listings, precise descriptions, and standardized attributes. A poorly indexed product, with vague or contradictory information, will be ignored in favor of a better-structured competitor. Therefore, you must invest as much in the quality of your data as you do in your design.
Finally, keep in mind that this transformation is progressive. AI agents do not yet replace all purchases, but their adoption is growing rapidly. Merchants who anticipate this development today will build a sustainable competitive advantage. Those who wait risk becoming invisible to a growing portion of consumers.
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What is the difference between selling to humans and selling to machines?
Selling to humans relies on emotion, trust, and experience. You seek to create a connection, to reassure, and to make people want to buy. Machines, on the other hand, function differently: they analyze structured data, complete product sheets, and consistent information.
A telling example: a pet supply company wants Google to rank its splash-proof bowls at the top of the search results. It must simultaneously convince a human to click on its link and satisfy the algorithm that ranks the pages. With AI agents, the principle is the same, but the machine becomes the direct intermediary for the purchase.
The key difference lies in your approach. For humans, you work on your brand image and your messaging. For machines, you optimize your data feeds and your catalog structure. Both are complementary and essential for capturing the attention of both targets.
Concretely, a human will be sensitive to an appealing photo, a reassuring customer review, or a promotional offer. A machine, however, will verify the presence of a unique SKU, a clear category, an exact price, and up-to-date availability. If these elements are missing, the agent will consider your product unreliable and downrank it. Therefore, you must take care of both aspects simultaneously.
Finally, do not forget that machines learn from your data. The richer and more consistent your product sheets are, the better the agent understands your offering and the more accurately it can recommend it. A successful dual strategy requires close coordination between your marketing, technical, and sales teams.
How do platforms become the intermediaries for purchasing agents?
Most merchants will not directly integrate their catalog into each language model or shopping agent. It is the e-commerce platforms and marketplaces that will play this role of gateway. They will publish the structured product data once and then distribute it across the agent ecosystem.
Shopify, for example, is already developing an agentic shopping infrastructure that allows agents to access merchant catalogs and build carts. Marketplaces like Amazon and Walmart already serve as product discovery engines and have no interest in giving up this strategic position.
For you, the merchant, the implication is clear: your future visibility will depend on your ability to provide clean, structured data to these intermediaries. It is a fundamental task, comparable to technical optimization for Google in its early days, but applied to shopping agents.
Concretely, this means you must choose your platforms carefully. Each channel has its own requirements regarding format, mandatory fields, and updates. A catalog synchronized in real-time, with accurate price and stock information, becomes a major asset. AI agents prioritize reliable and up-to-date sources.
Finally, think about diversification. Do not rely on a single platform. By distributing your data across multiple channels, you multiply your chances of being found by an agent. This multi-presence strategy is essential to remain competitive in a rapidly changing ecosystem.
Why is structured data crucial for machine marketing?
Marketing to machines is first and foremost a job of structured data. Your product feeds, the hygiene of your catalog, and your API-ready commerce systems become central elements of your visibility strategy. This is the new technical SEO.
If your product sheets are incomplete, inconsistent, or poorly formatted, AI agents will not be able to leverage them correctly. They risk recommending a competitor whose data is better organized, even if your product is superior.
Think of your data as a language that machines must understand perfectly. Every attribute, every description, every specification matters. The richer and more precise your data, the more you increase your chances of being selected by a buying agent on behalf of a consumer.
To achieve this, start by auditing your catalog. Identify incomplete sheets, duplicates, and categorization errors. Next, standardize your formats: use recognized schemas like Schema.org for products. Finally, automate the updating of your feeds so that information remains fresh and accurate at all times.
Also, do not forget enrichment data: customer reviews, ratings, Q&As. These elements reinforce the credibility of your offer in the eyes of machines. A product with many positive reviews will be judged more reliable than a product without any feedback. Integrate these signals into your feeds to maximize your attractiveness.
How do we influence the humans who formulate queries for AI agents?
The second tactic of agentic marketing is to influence the person typing the query. AI agents select products based on the expressed needs and inferred preferences of users. Your goal is therefore to shape what buyers want, how they describe it, and which brands they deem trustworthy.
This is not a new concept. It is similar to brand awareness in Google results. A buyer will get different results by typing "best dog bowl" versus "best Chewy splash-proof dog bowl." Building your brand directly influences the formulation of the query.
In agentic commerce, this influence becomes even more valuable. It guides the buyer's intent, and this intent in turn guides the agent's choices. The more present you are in the consumer's mind, the more likely you are to be recommended by the machine.
To strengthen this influence, work on your positioning. Clearly define your differentiator, your promise, and your target audience. Use consistent vocabulary across all your channels: website, advertisements, social media, packaging. This repetition anchors your brand in consumers' memories.
Finally, measure the impact of your efforts. Track queries that mention your brand, recommendation rates by agents, and attributed sales. These indicators will allow you to adjust your strategy and focus your resources on the most effective actions.
What role does advertising play in the dual marketing strategy?
Social media and video advertising play a key role in building familiarity with your brand. They help define your product categories and introduce specific terminology that will, over time, become the language of queries formulated by consumers.
You do not control the AI model, but you can control whether your product name, your differentiator, or your problem statement becomes part of the buyer's vocabulary. This is a powerful lever for guiding future searches.
By investing in consistent and memorable advertising campaigns, you sow seeds that will be harvested during future interactions with buying agents. Every exposure to your brand increases the likelihood of it being cited in a query.
To maximize this effect, create simple and repetitive messages. Use short slogans, distinctive visuals, and clear calls to action. Run them on the platforms where your customers spend time: Instagram, TikTok, YouTube, LinkedIn depending on your sector.
Finally, think about programmatic advertising. It allows you to precisely target audiences likely to use buying agents. By combining demographic, behavioral, and contextual data, you increase the effectiveness of your campaigns and reinforce your presence in consumers' minds.
How does content marketing fuel buyer inquiries?
Buying guides, comparisons, and troubleshooting articles are valuable tools for planting concepts that buyers will reuse later in their queries. By producing useful and relevant content, you educate your audience and influence their vocabulary.
When a consumer reads your guide on splash-proof bowls, they internalize that term and that issue. Later, when they ask an AI agent how to prevent their puppy from making a mess in the kitchen, they will likely use words derived from your content.
Content marketing thus becomes a double-impact investment: it attracts humans to your site and shapes the queries they will submit to machines. It is a long-term strategy that strengthens your authority on specific topics and increases your chances of being recommended.
To be effective, your content must be both informative and optimized for SEO. Use relevant keywords, structure your articles with clear headings, and include FAQs. These elements help search engines and AI agents understand and rank your content.
Finally, diversify your formats: blog posts, videos, infographics, podcasts. Each format reaches a different audience and reinforces your message. The more touchpoints you multiply, the more you increase the likelihood that your terminology will be adopted by consumers.
Why does email marketing remain relevant for both targets?
Email marketing has not lost its touch, even in the era of AI agents. For humans, it remains a privileged channel for nurturing a personalized relationship, sharing exclusive offers, and building loyalty. For machines, it offers valuable data on consumer behavior and preferences.
By segmenting your lists and personalizing your messages, you increase human engagement. Open and click-through rates inform you about your customers' interests. This information can be integrated into your customer profiles and used by AI agents to refine their recommendations.
Additionally, email is an excellent way to test new messages and offers before deploying them on other channels. You can quickly measure what resonates with your audience and adjust your strategy accordingly.
Finally, do not forget the importance of automation. Welcome campaigns, abandoned carts, and post-purchase follow-ups can be automated to save time and improve efficiency. These workflows also feed your data, creating a virtuous cycle between human marketing and machine optimization.
How does Qstomy help sell to humans and machines?
Qstomy is designed to support you in this dual strategy. On one hand, it helps you create smooth and personalized shopping experiences for humans: smart recommendations, optimized product sheets, guided paths. On the other hand, it structures your data for machines: clean feeds, standardized schemas, high-performance APIs.
Concretely, Qstomy centralizes your product information and makes it compatible with the requirements of buying agents. You save time and avoid entry errors. Your sheets are automatically enriched with the necessary attributes, which improves your visibility to algorithms.
For humans, Qstomy analyzes browsing and purchasing behavior to offer relevant recommendations. This personalization increases the conversion rate and customer satisfaction. You thus create a virtuous circle: the more satisfied your customers are, the more they recommend you, and the more machines judge you to be reliable.
Finally, Qstomy provides you with clear dashboards to track your performance on both targets. You know exactly which products are visible to machines and which messages resonate with humans. This global vision allows you to continuously adjust your strategy and remain competitive.
What is the checklist before launching your dual marketing strategy?
Before getting started, make sure your catalog is complete and structured. Each product must have a clear title, a detailed description, technical specifications, an accurate price, and up-to-date availability. Use standardized schemas to make it easier for machines to read.
Next, audit your online presence. Is your site fast, mobile-friendly, and secure? Are your product pages optimized for SEO? Do your advertisements and content use consistent vocabulary? These elements are essential for attracting both humans and machines.
Also, think about your distribution channels. Is your data synchronized with the main platforms and marketplaces? Have you set up APIs to allow agents to access your catalog? Seamless integration is crucial to being visible in the agentic ecosystem.
Finally, define clear performance indicators. Track traffic, conversions, sales attributed to agents, brand awareness, and customer satisfaction. These metrics will allow you to evaluate the effectiveness of your strategy and make quick adjustments.
What are the pitfalls to avoid when marketing to humans and machines?
The first pitfall is to neglect one of the two audiences. Focusing solely on machines can make your brand cold and impersonal, while ignoring machines makes you invisible to purchasing agents. Balance is key.
Another pitfall is sacrificing data quality for quantity. Voluminous but inaccurate data is worse than limited but reliable data. AI agents prioritize accuracy and consistency. Invest in quality over quantity.
Finally, beware of quick fixes. Agentic marketing is a rapidly evolving field, and today's best practices may become obsolete tomorrow. Stay informed, test regularly, and adapt your strategy based on results.
Also, avoid neglecting the human experience. Even if machines are buying, humans are the ones who set preferences and make final decisions. An exceptional customer experience remains your best asset for building loyalty and generating recommendations.
Conclusion: How to succeed in your marketing to both humans and machines?
To succeed, you must adopt an integrated approach. Treat your data as a strategic asset, invest in the quality of your catalog, and use standardized schemas. At the same time, cultivate your brand among humans with clear messaging, useful content, and memorable ads.
The key is to create synergy between both targets. Every marketing action for humans influences the queries they submit to machines, and every optimization for machines improves the human experience. This virtuous loop strengthens your position in the market.
Don't forget to measure your results and adjust your strategy continuously. The agentic commerce landscape is evolving rapidly, and the merchants who adapt fastest will be tomorrow's winners. Stay agile, test new approaches, and learn from your data.
Finally, do not hesitate to rely on tools like Qstomy to simplify this dual approach. With a suitable platform, you can effectively manage your data, personalize your experiences, and track your performance. Marketing to both humans and machines is no longer an option, it is a necessity.
To go further: E-commerce CRO: how to transform traffic into sales - Qstomy, Digital marketing strategy: complete guide for online businesses - Qstomy, How to optimize an e-commerce site for Google (step-by-step guide) - Qstomy, SEO for e-commerce sites: strategies that really work - Qstomy, Why use social media for e-commerce customer service? - Qstomy, AI chatbot for size guide: reducing returns in fashion e-commerce - Qstomy, Digital marketing for e-commerce: channels, tools, and tactics - Qstomy.
Enzo
October 2, 2026
