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ChatGPT product visibility checker.

Check if ChatGPT is recommending your product, a competitor, or nobody. Five category-typical buyer prompts. Citation analysis. Free, no signup.

Free. Runs 2 live prompts via GPT-4o. 1 run / 30s per IP.
What you get free
  • Two live ChatGPT prompts (category-search + buying-intent) via GPT-4o with web search
  • Per-prompt verdict: cited, mentioned, or missed
  • Top 3 findings with the single highest-leverage fix (next findings unlock with email)

How it works

  1. Paste the product URL. The tool reads Shopify's public product JSON for category, key features, price, and availability.
  2. Add category context. Short description of buyer intent. The tool uses this to generate five realistic buyer prompts.
  3. eCommerce Insights queries ChatGPT with five buyer prompts. Each prompt asks ChatGPT a shopping question a real buyer would type. Answers captured, citation patterns analyzed.
  4. Review the citation report. Per-prompt badges, gap summary, and one concrete fix.

Sample output

Here is the report for a fictional product, the Ravenback Founder Parka. Three cited, one brand-only mention, one missed. Scores and prompts are illustrative.

CHATGPT · PRODUCT VISIBILITY Founder Parka — 5-prompt visibility test CITED 3 OF 5 · 60% "Best heavyweight down parka under $500 from a D2C brand"ANSWER INCLUDED RAVENBACK · CITATION #2 OF 4CITED "What's the warmest parka for Pacific Northwest winters"RECOMMENDED PATAGONIA, FILSON, NORRONA · NO RAVENBACKMISSED "Sustainable parka brands with recycled down"MENTIONED BRAND · NO DIRECT PRODUCT LINKBRAND "Men's outerwear made in Portland Oregon"ANSWER INCLUDED RAVENBACK · CITATION #1 OF 3CITED "Parka with adjustable hood and 650-fill down"ANSWER INCLUDED RAVENBACK · CITATION #3 OF 5CITED GAP · "WARMEST FOR PNW WINTERS"Fix: add a PNW-specific answer block to the PDP body. Expected lift: +1 citation.

What the data means

Each prompt returns one of three statuses. Cited means ChatGPT's answer includes your product by name, typically alongside two or three competitors. Brand means ChatGPT mentions your brand but does not link to this specific product — a signal that entity recognition is working but PDP-level signals are weak. Missed means neither brand nor product appears in the answer; competitors own the slot.

The gap summary picks the missed prompt with the highest expected lift from a single PDP change — usually adding an answer block that directly addresses the prompt language. Add 150 to 250 words to the PDP body that answers the question buyers are actually asking, re-run the checker in a week, and see whether the answer moves.

ChatGPT Shopping cites 1 to 3 products per query, based on eCommerce Insights' manual review of 200 queries in Q4 2025. The three citation slots are competitive. Per-prompt analysis tells you which slots you already win and which are worth fighting for.

Why eCommerce Insights built this

Most AI visibility tools report an aggregate number — "your brand is mentioned X times across AI engines this week." That number hides which products are cited, which prompts win, and which PDPs are invisible. A drop in aggregate mentions tells you something happened; it does not tell you what to fix.

The per-product, per-prompt view is the only view that turns into a real Tuesday-morning action list. Five prompts, five badges, five possible fixes. See the ChatGPT tracking page for the deeper mechanism.

Every product, every engine

Run the same check across every SKU, continuously.

The free checker tests one product on ChatGPT. The full eCommerce Insights product runs similar tests against every SKU in your Shopify catalog, weekly, across ChatGPT, Perplexity, and four other engines. Tracks movement. Flags regressions. Pushes recommendations.

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Ask AI about the ChatGPT visibility checker

Have your favorite AI engine summarize this for your specific use case.

Frequently asked questions

How does the ChatGPT product visibility checker actually work?
The tool crafts five category-typical buyer prompts from the product URL and a short category context you provide, then queries ChatGPT's shopping-aware response surface and records whether the product appears in the answer. Citation analysis covers position, context, and whether the product was recommended directly or the brand was mentioned without the product.
Which ChatGPT model does the checker use?
The free checker uses the default ChatGPT shopping surface as exposed to logged-in ChatGPT users on the web, which is the same surface most shoppers encounter. eCommerce Insights does not claim to query every ChatGPT variant. Model routing at OpenAI is not publicly documented; the tool captures what the shopping-aware default answer looks like, which is the commercially relevant signal.
How often can I run the ChatGPT product visibility checker?
Once per day per product URL during early access. This is a rate limit, not a data limit — queries to ChatGPT are expensive, and repeated same-prompt queries tend to return similar answers. Real behavioral change requires a change to the PDP itself. Return in a week with different content and see if the answer moves.
Does the checker test Perplexity and Google AI Overviews too?
The free checker tests ChatGPT only, because ChatGPT Shopping has the narrowest answer surface (1-3 products per query as of Q1 2026) and therefore produces the clearest per-product signal. Perplexity Shopping is on the roadmap. The full eCommerce Insights product tests ChatGPT, Perplexity, and Google AI Overviews as core engines, plus Gemini, Claude, and Copilot.

See the answer before your next strategy meeting.

Is ChatGPT recommending your product or your competitor's? Find out.

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