Which tools show whether AI assistants recommend your products?

Three places a product gets recommended

“Does AI recommend my product?” covers three different surfaces, and no single measurement sees all of them.

1. A general assistant answering a buying question. Somebody asks ChatGPT, Gemini, Claude, Perplexity or Google for the best product for a need, and the answer names some products and stores. You measure this by asking the same questions and reading the answers: who was named, and which sites the answer cited. In our own workspace, which asks four engines through their APIs and reads AI Overviews off Google's results page, a stored answer is that written answer and its sources.

2. A shopping feature inside an assistant. Some assistants show product cards with prices and retailers. Which products appear there, and in what order, is a product-level question. By their own sites, these vendors track products on each surface:

AthenaHQ names ChatGPT Shopping on its own site too, for publishing content aimed at it.

3. A marketplace's own assistant. Amazon answers shoppers with its own assistant in its app and on its website. It was called Rufus until Amazon renamed it Alexa for Shopping on 13 May 2026. That is a third surface again. Asking ChatGPT or Gemini about Amazon products shows what those assistants say, not what Amazon's assistant shows on Amazon. By their own sites, Goodie, Ranketta and Dageno name Amazon's assistants among what they track. Before buying for this, ask for a sample report that names the exact Amazon surface, the product and the question.

Each vendor's own description of its product and shopping features, word for word, is on our list of AI visibility tools for online stores.

What the engines recommended for the two store questions

We track both questions word for word and ask five engines every run. From 1 to 25 September 2026, the Amazon question drew 20 answers and the shopping question 20. The tools named most, counting each answer once:

Our count covers 42 AI visibility vendors. For the Amazon question especially, the engines also named tools outside that list, each in a handful of answers, so read these as counts of the listed tools rather than a census of every tool. Greater Than Services was named in none of these 40 answers.

On 4 October 2026, after four engines had moved to newer models, the Amazon question drew:

Goodie and Profound led, each named by 3 of the 4 engines that answered. One thing to declare: Claude and Gemini each cited our own site, greaterthanservices.com, among their sources for this question, and neither named us.

And the AI shopping question, the same day:

AthenaHQ, Profound and Promptwatch were named by every one of the three engines that answered. One answer per engine is a single reading; the September counts are the pattern.

What the engines read to answer store questions

The sites cited most often across the September answers to each question, and the pages ChatGPT and Google's AI Overviews wrote into their answers:

7 of these 16 top entries are the sites of AI visibility vendors on our list; the rest belong to other companies, publications and communities. For a store, the useful reading is the same as for any brand: the pages answering for your category are the ones to be listed on, and which websites ChatGPT cites shows how to find them for your own products.

How to choose

1. Where your buyers ask. A store that sells on its own site and through Google needs the general assistants and AI Overviews covered. A brand that sells on Amazon also needs Amazon's own assistant covered, which takes a separate tool.
2. The product or the brand. If buyers ask for a kind of product, you need to know which product was recommended. If they ask where to buy, whether your store is named may answer it.
3. Your catalog as the input. Tracking products starts from knowing which you sell. Peec AI, AthenaHQ, Writesonic, Ranketta and Alhena describe taking a catalog, feed or store connection.
4. Proof of the surface. Ask for a sample report that shows the surface, the product, the question and the date. “Shopping visibility” can mean any of the three surfaces above.
5. The answer itself. A visibility number cannot tell you why a competitor's product was picked. The stored answer and its sources can.

If the gap is your own product pages, state in plain text what a buyer asks about, such as price, availability and who the product is for. Then mark it up as a Product: how to add JSON-LD, including Product markup.