E-commerce
September 17, 2026
Wondering how to improve your visibility on generative AIs with SEO? The answer is simple: without solid SEO, your store remains invisible to ChatGPT, Perplexity, or Gemini. These tools rely on well-ranked pages to answer users' queries, so your organic search engine optimization is your best ally.
But beware, traditional tactics are no longer enough. You need to adapt your content, your architecture, and your links so that language models can understand and cite you. So how do you do it? On the agenda:
Why is SEO crucial for generative AI?
How to choose the right keywords for prompts?
What content should you optimize to be cited by LLMs?
How to structure your site to make it easier for bots to understand?
What link strategy should you use to strengthen your authority?
Let's get started.
Summary
Why is SEO crucial for visibility in generative AI?
Generative AIs like ChatGPT, Perplexity, or Gemini do not create their answers from scratch. They query search engines, mainly Google, to find reliable information. If your pages are not well-ranked, they simply do not exist for these tools.
This means that your organic search engine optimization (SEO) is the key to appearing in the generated answers. A well-optimized site is much more likely to be cited as a source, which can generate qualified traffic and sales. Without SEO, your chances of being found by LLMs are virtually zero.
Furthermore, generative AIs prioritize content that clearly answers user questions. Structured content, with relevant headings and concrete answers, is more likely to be used. Think of your pages as potential answers: the more precise they are, the more valuable they are to LLMs.
Finally, SEO is not limited to Google. Generative AIs can also rely on other sources, such as databases or APIs. But in practice, Google remains the main entry point. Investing in good SEO is therefore a profitable investment for your overall visibility.
To learn more, discover how SEO works for e-commerce sites.
Convert over 2,000 customers on average per month with Qstomy.
The world’s 1st Shopify AI dedicated to customer conversion
Empowering 200+ e-commerce merchants
How to choose the right keywords for prompts?
Generative AI platforms do not provide any data on user prompts. It is impossible to know exactly how consumers discover your brand through these tools. Keyword research therefore remains your best source of information.
Use third-party tools to organize keywords by intent. This helps you target prospects at each stage of their journey. Also identify keyword gaps: what is missing on your site to attract potential customers.
Prompts are longer and more unpredictable than traditional queries, but keyword-level optimization illuminates your content and pages to meet buyers' needs.
To go further, analyze the questions your customers are asking. Use tools like AnswerThePublic or Google suggestions to discover natural phrasing. Integrate these questions into your headings and text, as LLMs love content that directly answers queries.
Don't forget to monitor your competitors: what keywords are they targeting? What gaps can you fill? Regular monitoring allows you to stay ahead and adapt your strategy to changing search behaviors.
What content should be optimized to be cited by LLMs?
The best e-commerce content explains how your products help customers solve their problems. Even if it generates less traffic than before, it remains essential for product discovery. Do not focus solely on bottom-of-funnel queries, as this would limit your new customers.
LLMs can summarize your content without citing your brand, but this remains an opportunity: you become a trusted source for the AI, which foreshadows future recommendations. Therefore, optimize for purchasing journeys, with keywords that reflect buyers' desires and content that is relevant to bots.
To maximize your chances, create buying guides, comparisons, and blog posts that answer frequently asked questions. For example, an article on "how to choose a dress" should help to compare, not just sell. By aligning your content with intent, you meet user needs and LLM requirements.
Also think about freshness: AIs favor recent and updated content. Regularly update your pages to show that you are active and relevant. Live content is content that is more likely to be cited.
How to structure your site to make it easier for bots to understand?
A flat architecture, where pages are not buried, and internal links ensure crawlability and ranking opportunities for long-tail queries. A clear structure helps LLMs understand your business and properly place your products in their training data.
An optimized navigation must be:
Structured so that humans and AI agents quickly find what they are looking for.
Usable without JavaScript and accessible with all browsers.
Focused on the most important sections and key benefits.
To go further, check out our SEO strategy for category pages.
In addition to the structure, think about the depth of your pages. Pages that are too deep (more than three clicks from the homepage) are less well indexed. Use smart internal linking to distribute authority and guide bots to your key content.
Finally, ensure your site is mobile-friendly. Generative AIs are often used on mobile, and Google prioritizes responsive sites. A smooth mobile experience is a quality signal for both search engines and LLMs.
What link-building strategy should you use to strengthen your authority?
The use of authority signals by LLMs, such as backlinks, remains unclear. However, backlinks, brand mentions, and co-citations are important for visibility on generative AI. Here is why:
High organic rankings promote discovery by AIs.
Entity associations (being mentioned or linked to important competitors) improve your ranking.
Consistent mentions and links from authoritative publications reinforce LLMs' trust.
These indirect signals are obtained through traditional link building: public relations, expert citations, and social media connections.
To strengthen your authority, identify influential sites in your sector and offer them guest content or interviews. Mentions of your brand on forums, blogs, or specialized media are all signals for AIs.
Do not forget consistency: your name, your logo, and your information must be identical everywhere. LLMs use this data to associate your brand with entities, which improves your credibility.
How to target long-tail queries?
Long-tail queries are more specific and often closer to a purchase. They are also easier to rank for, as they are less competitive. To target them, create detailed content that precisely answers user questions.
Think about the prompts people might type into an AI: they are often phrased as complete questions. Integrate these natural formulations into your texts, headings, and tags. This increases your chances of being picked up by LLMs.
Don't forget to link these pages together to strengthen their relevance in the eyes of search engines and AIs.
To identify these queries, use tools like Google Keyword Planner or SEMrush, and analyze the questions asked in forums or social networks. For example, "how to choose a dress for a wedding" is a long-tail query that can attract highly qualified customers.
Then create dedicated pages for these questions, with detailed answers and concrete examples. LLMs appreciate content that goes beyond the superficial and brings real added value.
Why is search intent essential?
Search intent is what the user really wants to find. Generative AIs are designed to respond to this intent, not just to match keywords. If your content does not match the intent, it will not be selected.
For example, an article on "how to choose a dress" should help to compare, not just sell. By aligning your content with the intent, you meet user needs and LLM requirements.
This involves understanding the different stages of the buying journey and creating content tailored to each.
For each page, ask yourself: what is the intent behind the query? Is it an information search, a comparison, or a purchase intent? Adapt your content accordingly. For example, a product page should highlight benefits and reviews, while a blog post should educate and inform.
LLMs are becoming increasingly sophisticated at detecting intent. Content that truly answers the question asked is more likely to be cited. Do not just repeat keywords, provide a complete and useful answer.
How to use structured data for AI?
Structured data (schema.org) helps search engines and AI interpret the content of your pages. By tagging your products, reviews, prices, and availability, you provide clear signals to LLMs.
This can improve your chances of appearing in rich results or snippets. Even if the direct impact on generative AI is not proven, it is a quality signal that can only help you.
Make sure your tags are valid and comply with Google's guidelines. For more details, see how to optimize an e-commerce site for Google.
In addition to structured data, use semantic HTML tags like headings (h1, h2) and lists. This helps LLMs understand the structure of your content and extract key information.
Regularly test your tags with Google's Structured Data Testing Tool. Errors can harm your visibility. Clean markup is a long-term investment for your presence on AI.
Why is loading speed crucial?
Loading speed is a ranking factor for Google, and indirectly for the AIs that rely on its results. A slow site is penalized, which reduces your chances of being cited.
LLMs favor fast and accessible pages because they offer a better user experience. Optimize your images, use caching, and reduce unnecessary scripts.
A fast site also improves the conversion rate, a double benefit for your store.
To measure your speed, use tools like Google PageSpeed Insights or GTmetrix. They give you concrete recommendations to improve your performance. For example, compress your images, enable Gzip compression, and use a CDN.
Do not forget that speed is also an accessibility criterion. A fast site is more pleasant to use, which encourages visitors to stay and explore. Generative AIs, by analyzing user behavior, could take this into account.
How to measure the impact of your SEO on generative AI?
Measuring the direct impact of SEO on generative AI is difficult because platforms do not provide data. However, you can track indirect indicators:
Organic traffic to your key pages.
Brand mentions in generated responses (test manually).
Rankings for your target keywords.
Use tools like Google Search Console to track your performance. The goal is not the direct click, but visibility and credibility with LLMs.
To test mentions, ask ChatGPT or Perplexity questions about your sector and see if your brand appears. Note the answers and track their evolution over time. This gives you an idea of your presence in the generated responses.
Finally, monitor your conversions: if your organic traffic increases and your sales follow, it is a sign that your strategy is working. Generative AI may be an indirect channel, but it contributes to your overall success.
How Qstomy transforms visibility into sales?
Qstomy, the Shopify AI agent, transforms the visibility gained on generative AIs into concrete sales. Thanks to its personalized recommendations, it guides each visitor to the ideal product, increasing the average cart and the conversion rate.
Concretely, Qstomy:
Recommends products based on expressed needs, just like an advisor would.
Offers additional sales (upsell and cross-sell) at key moments.
Recovers abandoned carts with smart follow-ups.
Provides parcel tracking and customer service, for a frictionless experience.
With more than 100 merchants supported, Qstomy is the ideal tool to capitalize on your SEO and your AI presence. Discover how to use an AI chatbot to compare two products.
By integrating Qstomy, you offer your customers a smooth and personalized shopping experience. Generative AI brings you traffic, Qstomy converts it into revenue. It is a perfect synergy for your store.
In addition, Qstomy collects valuable data on your customers' preferences, allowing you to refine your marketing strategy. This enables you to better target your campaigns and improve your return on investment.
Checklist to optimize your visibility on generative AI
Before you get started, make sure you have covered the basics. Here is a quick checklist:
Keywords: have you identified potential queries and prompts?
Content: do your pages meet purchasing intents?
Architecture: is your site easy for bots to crawl?
Links: is your authority reinforced by high-quality backlinks?
Technical: are speed, structured data, and accessibility optimized?
In brief
SEO remains the foundation of your visibility on generative AI. By optimizing your keywords, content, and structure, you maximize your chances of being cited. And with Qstomy, you turn this visibility into sales.
FAQ
Is SEO still useful with generative AI? Yes, because AIs rely on search engines to find answers.
Is it necessary to create specific content for AIs? Not necessarily, but content optimized for search intent helps.
Can Qstomy improve my SEO? Indirectly, by increasing conversions, which is a positive signal for Google.
To go further: What is Google Shopping for e-commerce? Definition, feed, and benefits for a store - Qstomy, Which domain name should you choose for an e-commerce site? - Qstomy, E-commerce CRO: how to convert traffic into sales - Qstomy.
Enzo
September 17, 2026
