Shopping

ChatGPT shopping visibility is the new product search. When a buyer asks an AI engine for a recommendation, the answer is a short paragraph citing specific products and retailers. Your brand is either named in that paragraph or it is not. If it is named, it is either first or fifth. This moment determines consideration.

Traditional search visibility looked at rankings on a page of ten blue links. AI shopping visibility is binary: you are in the answer or you are invisible. The citation is the click. Tracking this requires reading the AI’s output every day, because the models change and the merchant data they pull from updates constantly.

In AI search, the engine makes a choice for the buyer. It does not list every option. It synthesizes and recommends. For shopping queries, ChatGPT, Gemini, and Google AI Overviews enter a mode where they pull from product feeds and retailer listings to generate a concise answer.

This means a smaller, more decisive consideration set. If your product is not surfaced, the buyer will not scroll to find it. There is no page two. Your share of voice in these answers becomes your market share in the conversation. Knowing your position, and your competitors', is the first step to influencing it.

Mentionry’s Shopping feature lives in the Monitor suite. You add the shopping prompts your buyers use. Each is put to the engines on your plan once per day. The system records the full answer text, every product named, every cited retailer URL, and the order they appeared.

The Shopping dashboard shows two core layers. The shopping visibility layer tracks your baseline product visibility across shopping-triggered responses, broken down by prompt and by product. The merchant layer shows which third-party retailers and direct stores own your brand’s checkout options in the AI’s answer, and how share breaks down by merchant.

You see a daily trend of visibility, average position, and share of voice against named competitors. All citations are split into owned, operated, and earned, so you know if the AI is citing your website, an Amazon listing, or a review blog.

First, establish a baseline. Open the Shopping dashboard, filter to your flagship product line, and look at the past week. Note the prompts where you consistently appear and those where you are absent. This shows where your product market fit aligns with AI perception.

Second, investigate the merchant split. For a prompt where you have high visibility, check which retailers the AI cites. If it is always a marketplace like Amazon, your direct sales channel is being bypassed. You might prioritize updating your own product feed or create content targeting that specific query.

Third, act on gaps. Use the Opportunities screen, which lists pages that cite your competitors but not you. For a missing shopping prompt, you might find a ‘best of’ blog post or a YouTube review. The AI Marketer can draft a pitch to that publisher, using the data from your Shopping dashboard as the reason why your product should be included.

A rise in visibility for a prompt means your products are being surfaced more often in answers. A drop means they are being replaced. The average position tells you if you are trending toward the top of the answer, where conversion is highest.

The merchant share shows who owns the commercial relationship. A high share for Amazon means the AI sees your brand as a marketplace item. A rise in direct store citations suggests your own e commerce feed is gaining traction.

The main trap is conflating visibility with traffic or sales. Mentionry measures the AI’s output, not the buyer’s click. Another trap is expecting perfect recall. AI shopping results are volatile; a single day’s reading is a snapshot, not a law. Look at trends over weeks.

The Shopping screen is built and its stores are live. However, the daily capture of shopping answers is being verified against real user prompts before it is switched on for every account. Until then, it is available on request. This ensures the data is robust.

This feature does not track shopping results from Microsoft Copilot, Grok, or DeepSeek. It does not estimate sales or conversion rates from AI citations. It cannot proactively alert you to a visibility drop outside of a scheduled agent you set up. It records what is, so you can decide what to do next.

Shopping visibility is part of the Monitor suite. On the free seven day trial, you can track 50 prompts a day across ChatGPT, Gemini, and Google AI Overviews. The Starter plan, at $99 a month, includes daily reads on those three engines, for one brand.

Enterprise plans are quoted. They include more brands under one login, up to nine answer engines, higher prompt limits, and multiple regions. Recording starts the day a prompt is added; there is no historical backfill. If your brand is never mentioned in a reading, it has no average position.