How to Get Your Products Discovered in AI Search & Agentic Commerce (ChatGPT, Perplexity, Copilot & More)

For brands and retailers, this creates a new visibility challenge: how do you become the product that the AI recommends? Recent research from Yext, based on 6.8M AI citations across ChatGPT, Gemini and Perplexity, shows that 86% of sources used by AI come from brand-managed assets such as websites, listings and reviews. In other words: your own product data, feeds and content are now the primary levers to appear in AI answers.

This guide explains how AI assistants "see" your catalog, what concrete actions to take on your product data and feeds, and how Lengow helps you become visible in agentic commerce, including ChatGPT Shopping via the OpenAI Product Feed.

From SEO to AI search & agentic commerce

Traditional SEO was about ranking in a list of links. AI search and agentic commerce are different: they produce direct answers, often including only a few products, and can drive the shopper all the way to payment without leaving the assistant.

• Conversational intent: queries look like questions or mini-briefs ("eco-friendly sofa for small living room, kids-friendly fabric"). AI breaks them into needs, constraints and preferences, then looks for products that match.
• Fewer but richer results: instead of 10 blue links, the user may see 3-6 product cards with images, specs, reviews and badges like "Popular" or "Best value".
• Agentic journeys: the assistant can refine the search ("show only vegan leather"), check stock, compare options and, with the Agentic Commerce Protocol (ACP), complete checkout in-chat via integrations such as Stripe.
• New discipline, GEO (Generative Engine Optimisation): instead of keyword stuffing, you optimise for how AI models understand entities, attributes, and trust signals across sources like your site, feeds, marketplaces and reviews.

To win in this environment, you need AI-ready product data and a distribution layer that gets this data into every channel and AI surface that matters, from marketplaces to ChatGPT Shopping. This is exactly what Lengow's product feed and marketplace management suite is built for.

How AI assistants "see" your products

Under the hood, AI search engines and assistants draw on three main layers of data. Understanding these will help you decide where to invest first.

1) Direct product feeds into AI platforms (ChatGPT Shopping & Agentic Commerce)

OpenAI's Product Feed lets merchants send a structured catalog directly to ChatGPT. The feed is the single source of truth for titles, prices, stock, logistics, images and policies, powering both search and Instant Checkout.

• Push model, not crawling: merchants push CSV/TSV/XML/JSON files over encrypted HTTPS to an allow-listed endpoint; updates can be sent as often as every 15 minutes to keep stock and price fresh.
• Required fields: each product needs a stable id, title, plain-text description, link, image_link, price, availability, inventory_quantity, brand, condition, and flags like enable_search and enable_checkout, plus basic policy URLs.
• Agentic Commerce Protocol (ACP): ACP defines how AI agents, merchants and PSPs (e.g. Stripe) exchange data to complete secure payments and fulfilment.

Lengow supports the OpenAI Product Feed specification so you can connect your catalog to ChatGPT Shopping with minimal technical work, using the same feed foundation you already use for marketplaces and advertising.

2) Marketplaces & retailer ecosystems

Amazon, Zalando, Miravia, Decathlon and many others are investing in their own AI search and assistant layers. Those systems are powered by the product feeds you already send them and will increasingly surface your offers in conversational journeys on their sites and apps.

If your content is incomplete, inconsistent or poorly structured on marketplaces today, you won't just lose classic search ranking, you'll also miss out on AI-driven placements such as "assistant" recommendations or personalised collections.

With NetMarkets and Lengow's product feed management, you can keep one clean, central feed and adapt attributes, titles and categorisation for each marketplace automatically.

3) Open web content, listings and reviews

Even when a direct product feed exists, AI assistants still rely heavily on public web content and third-party citations to validate and enrich their answers. As mentioned in the intro, Yext's study shows that 86% of AI citations come from websites, listings and reviews that brands can control or influence.

For commerce, that means:

• Your product detail pages (PDPs) and category pages.
• Local listings and business profiles on Google, Maps, retail store finders, etc.
• Structured reviews and Q&A content on your site and on marketplaces.
• Editorial content: buying guides, comparisons, FAQs, all of which can be quoted in AI answers.

In short: the product page is still the foundation. The richer and more structured your content, the more likely AI is to understand, select and cite your products.

AI-ready product data: the practical checklist

Think of your product catalog as something you are preparing for two audiences at once: humans and AI models. Here is a checklist you can apply across your PIM, website and feeds.

ChatGPT Shopping & Agentic Commerce: a concrete playbook

If you want to appear in ChatGPT Shopping and Agentic Commerce experiences, here is a pragmatic sequence you can follow.

Winning visibility in Perplexity, Copilot, Gemini & emerging AI engines

Not every AI engine offers a direct merchant feed yet. Many, including Perplexity and some Google and Microsoft experiences, still rely heavily on crawled web content and citations.

• Audit your presence in AI answers: run the same high-intent questions in ChatGPT, Perplexity, Gemini and Copilot. Note which sites are cited (your site, marketplaces, media, review platforms) and which brands appear most often.
• Upgrade product pages and guides: create buying guides, comparison articles and FAQ sections that directly answer "which X should I choose for Y?" questions in your main categories.
• Strengthen listings & local data: maintain complete, structured business and store listings; Yext's research shows listings are one of the biggest drivers of AI citations.
• Focus on authority sources: invest in reviews from recognised publishers, marketplaces and vertical platforms that AI tends to quote.
• Measure & iterate: track how often your brand is mentioned and cited over time with dedicated AI visibility tools or your agency's reporting stack.

Operationalising GEO with Lengow

You don't need an internal AI engineering team to show up in AI search. You need clean product data, smart feeds and automation. Lengow provides the operational layer that connects your catalog to agentic commerce:

• Central product feed management: ingest product data once and distribute it to marketplaces, ad platforms and now ChatGPT Shopping, with per-channel mappings and rules.
• Feed optimisation at scale: use NetAmplify and Lengow rules to enrich titles and descriptions, adjust attributes and create channel-specific versions without manual copy-pasting.
• Marketplace excellence: ensure marketplace listings meet the strictest standards for data quality, imagery and categorisation, which directly impacts their own AI-powered search and recommendations.
• Price & assortment intelligence: combine NetRivals price monitoring with your feeds to make margin-aware decisions on which products to push most aggressively in AI channels.

AI search is moving quickly, but the underlying rule is simple: the brands that invest in structured, accurate, use-case-driven product data today will control tomorrow's AI shelves. With Lengow as your feed and marketplace hub, you can adapt once and benefit wherever buyers choose to search, search engine, marketplace, social platform, or AI assistant.