How to Get Your Products Recommended by AI

“What’s the best [product] under $100?” is now a question people ask ChatGPT, not just Google. When they do, a few products get named. Here’s how to make yours one of them.

Why this is different from ranking

In traditional search, you compete for a spot in a list of links. In AI answers, you compete to be named in the recommendation. The AI has already done the filtering. Being the brand it reaches for is the goal, and it rewards slightly different things than Google.

What moves the needle

1. Clear, structured product information

AI engines extract details they can state with confidence: what the product is, who it’s for, what makes it different, and the specifics (materials, size, price range). Vague lifestyle copy doesn’t give them anything to work with. Spell it out.

2. Reviews and third-party mentions

Language models heavily weight what others say about your product. Reviews, “best of” roundups, and comparisons across the web feed directly into what AI recommends. This is often the single biggest lever, and the most underinvested.

3. Structured data

Product and Review schema make your product’s key facts machine-readable. Clear inputs, clearer recommendations.

4. Comparison and buying-guide content

Content that honestly compares options (including yours) is exactly the kind of source AI engines pull from when someone asks for a recommendation.

5. Crawler access

None of it matters if the AI bots can’t read your site. Confirm GPTBot, PerplexityBot, and Google-Extended aren’t blocked in your robots.txt.

Measure it

Pick the buying prompts your customers actually use, run them across ChatGPT and Perplexity on a schedule, and track how often your products come up versus competitors. That baseline is how you know it’s working. It’s the core of our AI search visibility service.

Curious whether AI recommends you today? Get a free audit.