How do I get my brand into ChatGPT recommendations?

An assistant answering a shopping question is assembling something from what it can retrieve and what it learned. Both routes reward the same thing: clear, checkable facts about your product that appear in more than one place.

Think about what a careful researcher would need to recommend you with confidence. What the product is, who it suits, what it costs, what it is made of, how it compares with the obvious alternatives, whether it is available where the person lives, and evidence that other people were happy with it.

If those facts are easy to find and consistent everywhere they appear, you are a safe recommendation. If they are buried in images, spread across pages, contradictory between your site and other listings, or absent entirely, you are a risk, and a system that is trying to be accurate will name someone else.

This is why the work overlaps heavily with plain good product content. The difference is emphasis. Assistants are less influenced by design, imagery and brand feel, and more influenced by whether the specific answer to the specific question exists in text.

So the practical goal is not to be optimised for a particular assistant. It is to be the easiest brand in your category to describe accurately.

Consistency is the part most stores get wrong, and it is the cheapest to fix.

Your own site should state, in text, what you sell, where you ship, what your returns terms are, how to contact you, and what makes the product different. An about page with a paragraph of atmosphere and no facts is a missed opportunity.

Then check everywhere else your brand is described. Marketplace listings, retailer pages, social profiles, directories, supplier sites, review platforms. If your product is called one thing in one place and something else in another, if the material or capacity differs, or if an old price sits on a stale listing, the picture becomes unreliable.

Product naming deserves particular attention. A model name used consistently across every place your product appears makes it easy to identify. A name that varies by channel produces several half described products instead of one well described one.

Update the stale things. Old listings for discontinued products, outdated shipping claims, a press page from three years ago describing a range you no longer sell. These do not disappear, and they get read.

The test is simple. Search your brand and your main products, read everything that comes back, and note every contradiction. That list is your work.

Assistants work with text that states things plainly. Marketing prose that avoids specifics gives them nothing to use.

Put the specification in text, not in an image. Dimensions, weight, materials, capacity, compatibility, power, care instructions. An image of a spec table is invisible.

Answer the comparison questions on your own pages. Which of your products suits which use, what the difference between two of your models is, who should buy the cheaper one. Honest internal comparisons help buyers and are exactly the kind of content an answer can be built from.

Write direct answers to the questions people actually ask, with the answer in the first sentence. A section headed with the question and answered plainly underneath is easy to quote and easy to verify.

Keep prices, availability and shipping information current and machine readable, including the structured data your platform can output. If your page says one thing and your feed says another, neither can be trusted.

And cover the buying context, not only the product. What size to choose, what to look for in this category, what the common mistake is. Those are the questions people ask an assistant before they ask about a specific product, and being the source of that answer is how a brand enters the conversation.

Your own pages are necessary and not sufficient. Answers about a category are usually built from several sources, and most of them are not yours.

That means the places your product is reviewed, listed, discussed and compared all matter. Retailer and marketplace listings with complete data. Reviews on your own pages and on the platforms your category uses. Communities where people ask for recommendations. Editorial coverage where it is genuinely earned.

None of this is a trick. It is the same reputation work that has always decided whether a brand gets recommended by a person, and assistants tend to reflect what is already there.

Then check what is being said about you. Ask assistants the questions your customers would ask: the best product for a specific use, alternatives to a well known brand in your category, whether your product does a particular thing. Note what comes back, which brands are named, and whether anything about you is wrong.

When something is wrong, fix it at the source rather than complaining about the output. Correct the listing, update the page, publish the accurate fact clearly, and give it time.

And be careful with anyone offering to place you inside recommendations for a fee. Advertising formats around assistants exist and change, but a paid position inside an answer is not something to buy on trust.