Your customers have changed how they shop. Instead of typing a keyword into Google and clicking around ten blue links, a growing number now ask ChatGPT, Perplexity or Google's Gemini a full question: "what is a good waterproof hiking jacket under 150 for someone tall." The answer engine reads the web, picks products, and names a few. You want yours named.
There is a myth that this only works if you sell on Shopify. It does not. Answer engines read the open web. A self-hosted WooCommerce, Magento or PrestaShop store can show up in those answers, as long as the engine can reach your pages and understand them. Here is how to set that up.
1. Let the AI crawlers reach your site
Answer engines fetch your pages using their own crawlers. Each one announces itself with a user-agent name. ChatGPT uses crawlers from OpenAI. Perplexity and Google's Gemini systems use their own. If your robots.txt file (the small text file at yourstore.com/robots.txt that tells crawlers what they may read) blocks those names, you are invisible to that engine.
Many store owners blocked AI crawlers in 2023 to protect content. If you want product visibility, reverse that. Open robots.txt and make sure you are not disallowing the answer-engine user-agents. Allowing a crawler is a one-line change. If you are unsure what your file says, your platform's SEO module or a developer can show you in a minute.
2. Put clean Product structured data on every product page
Structured data is a small block of machine-readable detail added to a page, called Product JSON-LD. It tells any reading machine, search or answer engine, exactly what the page is selling. Include the basics on every product page:
- Name of the product
- Price and currency
- Availability (in stock or not)
- Brand
- GTIN or MPN, the global barcode or maker's part number, where you have one
When the price in your structured data matches the price a shopper sees on the page, the engine trusts your listing. When they disagree, it may drop you.
3. Keep titles, descriptions and stock accurate
Answer engines read your product titles and descriptions as plain language, the same way a shopper does. A vague title like "Model 4471" gives them nothing to match against "tall waterproof hiking jacket." Write titles and descriptions a person would understand. Keep stock status current, because an engine that recommends an out-of-stock item once learns to trust you less.
4. Keep a clean product feed where it counts
A product feed is a structured file listing your catalog, the same data Google Merchant Center uses for Shopping. Keeping a clean, current feed and a Merchant Center listing helps the Google and Gemini side of the picture, because those systems lean on that structured commerce data. It is optional for the chat engines but worth doing if Google traffic matters to you.
Per-platform notes
Most platforms already produce Product schema through a plugin, module or theme. You usually turn it on rather than build it.
- WooCommerce: a popular SEO plugin or WooCommerce's own structured data output handles Product JSON-LD. Confirm it is enabled and that your robots.txt under WordPress is not blocking AI crawlers.
- Magento and Adobe Commerce: structured data ships via the theme or an SEO extension. Check that public product pages expose Product schema. Note that only your public catalog is readable, anything behind a customer login stays private.
- PrestaShop: an SEO module outputs Product structured data for 8.x and 9.x. Confirm price and availability fields are populated.
Being found is not enough. The visitor still has to convert.
An AI answer brings a shopper to your site already interested. Then they land on a product page with a question you did not foresee: will this fit a size 14, does it ship to Austria, is there a darker colour. If nobody answers, they leave. That is where an on-site AI salesperson earns its place. Emporiqa acts like an online salesperson on your store, recommending from your own catalog by text or by an uploaded photo, handling objections and walking the shopper to checkout, in 65+ languages. It is an EU company, GDPR-compliant, and does not train on your data.
So the answer engine sends you the visitor. Your on-site salesperson closes them. The two work together.
To put a salesperson on your store, create a free Emporiqa account. You get $25 of signup credit, about 100 conversations, and no card is required. Want to watch one work first? Try the live demo at demo.emporiqa.com.
Once a shopper lands on your store, this is the part that closes them: an AI sales agent for e-commerce.
