Shoppers ask Ai what to buy, and Amazon answers too. Be the brand both recommend.
Shoppers now ask Amazon’s own shopping assistant, ChatGPT and Google before they buy. Those answers draw on listing content, reviews and what the web says about your brand. Sellers who make all three clear get recommended on Amazon and off it.
- We’ll test the questions shoppers ask about your products
- Free, no obligation
- Plain-English findings
The searches that decide who gets named
Short, real searches we track for Amazon sellers, engine by engine. Answering them clearly, on your site and across the web, is how you get named.
- best [product] for [use]Discovery lists draw on listing content, reviews and roundups.
- [brand] reviewsReviews on and off Amazon shape the verdict.
- [brand] vs [brand]Comparison content and specs win.
- is [brand] a good brandBrand presence beyond the listing builds trust.
- [product] size or compatibilityComplete listing attributes answer fit questions.
- where to buy [brand] besides AmazonA brand site gives engines another answer.
The listing and brand test
On Amazon, the listing is the product page. We check whether your listings, reviews and brand presence give engines enough to describe and recommend you.
- Listing contentTitles, bullets, descriptions and A+ content that answer real questions in plain language, not keyword lists.
- Attributes and variationsComplete attributes, sizes, compatibility and variation families, so assistants can match products to needs.
- Reviews and questionsRecent, specific reviews and answered questions, earned within Amazon’s rules.
- Brand registry and storefrontA registered brand, a clear storefront and consistent brand names across listings.
- Presence beyond AmazonA brand site, reviews, creators and press that corroborate who you are and what you sell.
Sources that shape recommendations
Sources that commonly feed Ai answers and search results for Amazon sellers. Your audit confirms which ones matter in your market.
Amazon listings, reviews and Q&A
The content on Amazon that its own assistant and outside engines read.
Google Shopping and search
Where shoppers compare before they open Amazon.
Reddit and community forums
Opinions engines read for real-world fit.
YouTube and creator reviews
Video reviews that surface for comparisons.
Roundups, deal sites and press
Editorial lists that name specific products.
Your brand site and product pages
Specs and policies in plain text, off Amazon.
What gets you named beyond your own site
Ai engines weigh what other sites say about you. Backlinks, brand mentions and reviews are the three levers, and each runs through different sources in Amazon sellers.
Backlinks from roundups, creators and publications
Gift guides, niche blogs, creators and trade press link to brands they have tried. A brand site gives those links somewhere to land.
Brand mentions in communities and creator content
Reddit answers, creator reviews and press quotes tell engines what you sell and who it suits.
Reviews earned within Amazon’s rules
Amazon reviews feed shopping answers. We help you ask through Amazon’s own tools and handle customer feedback, and we never buy or incentivize reviews.
Where we focus first
Make listings easy to recommend
Clear listing content, complete attributes and comparison content written for people and assistants.
Run Amazon ads that pay back
Sponsored Products, Sponsored Brands and Sponsored Display managed to your margins and target ACoS, fed by listing and search-term work.
Build demand beyond Amazon
A brand site and content that rank for the searches shoppers make before they open Amazon, plus email to own the customer relationship.
What’s different for Amazon sellers
Amazon policy compliance
Amazon prohibits review manipulation and incentivized reviews, and limits how sellers contact buyers. We work only within its seller policies.
Your data, your authorization
Where an audit or ad campaign needs account data, it comes through Amazon’s official authorization, which you grant and can revoke. Your Amazon Ads account stays in your name.
Claims and category rules
Product claims must be accurate and supportable, and category rules apply, for example for supplements and electronics.
Consistency across channels
Names, prices and images should match across Amazon, your site and other marketplaces, or engines get conflicting answers.
See how Ai sees your Amazon brand
Find out whether ChatGPT, Gemini, Perplexity and Google recommend your products for the questions shoppers ask, which brands they name instead, and what would change that.
- Engine-by-engine checkMentions and citations across every major Ai engine
- Competitor comparisonWho gets named for your buyer questions
- Trusted-source mapReview sites, directories and publications Ai leans on
- Prioritized quick winsSite, schema, reviews and mention fixes, ranked
Request your free Ai Amazon seller audit
Free and no obligation. We’ll email your findings in plain English.
Questions, answered
Still deciding? Start with the free audit and we’ll show you where you stand.
Does Ai recommend products sold on Amazon?
Yes. Assistants and search engines draw on Amazon listings, reviews and outside coverage. Complete, consistent content in all three gets products named.
Do you manage Amazon ads?
Yes. We manage Sponsored Products, Sponsored Brands and Sponsored Display inside your own Amazon Ads account, as part of our ad management service. Ad spend is paid to Amazon directly. Inventory, fulfillment and day-to-day account operations stay with your team.
Do you need access to our Amazon account?
Only if you want the audit to use your own catalog data or want us to manage your ads. Access is granted through Amazon’s official authorization, scoped to what is needed, and you can revoke it at any time.
What is the quickest win?
Complete listing attributes, plain-language bullets and a brand site that gives engines another place to confirm who you are.
Your next customer is asking Ai right now. Make sure it says your name.
Start with a free Ai visibility audit, or pick a plan and we’ll get to work.