Shoppers ask Ai what to buy. Make sure your products are in the answer.
People ask Ai for the best product for a job, how two brands compare and whether a store is legit. The answers lean on product data, reviews and what other sites say about you. Brands that make those easy to read get recommended, and get the click.
- We’ll test the questions shoppers ask before they buy
- Free, no obligation
- Plain-English findings
How buyers choose ecommerce brands now
Engines answer “best for” questions with a short list. Clear product data, specific reviews and outside mentions decide who is on it.
Ai summaries repeat what reviewers actually say about fit, quality and service. Specific, recent reviews beat a high average with no words.
Reddit threads, roundups, YouTube reviews and press tell engines who you are. Brands that exist only on their own site are easy to skip.
Three shopper moments, three jobs
Shoppers do not arrive the same way. We build for the moment that sends them to you.
Discovery
“Best running shoes for flat feet.” The shopper has a need and no brand yet. Engines name products they can describe and verify. This is where AEO and GEO pay off.
Comparison
“Brand A vs brand B.” The shopper has a shortlist. Comparison pages, specs, reviews and category content decide who wins the click.
Reassurance and return
“Is this store legit?” Returns, shipping, service and reviews close the sale. Follow-up email brings buyers back for the second order.
Pick your specialty
Each playbook covers the searches buyers make, the sources engines trust in that market, the rules to respect and what to fix first.
Shopify brands
Fast-moving catalogs where product data, reviews and creators decide.
WooCommerce brands
Self-hosted stores where speed, plugins and clean data decide.
BigCommerce brands
Growing catalogs and B2B-minded stores that outgrow entry-level carts.
Magento brands
Large catalogs and custom builds where speed and crawl control decide.
Don’t see your specialty?
We work with many other ecommerce brands. Tell us about yours and we’ll show you how Ai sees it.
The sources that shape recommendations
Sources that commonly feed Ai answers and search results for ecommerce brands. Your audit maps exactly which ones matter in your market.
Google Merchant Center and Shopping
Product feeds that power shopping results and feed Ai answers with price, stock and specs.
Reddit and community forums
Honest threads that engines read for real-world opinions.
YouTube reviews and unboxings
Video reviews that surface for comparison and how-to questions.
Review platforms
Trustpilot, Google reviews and category sites that carry heavy weight for legitimacy.
Roundups and editorial lists
Best-of articles, gift guides and publications that name products.
Your product, collection and policy pages
Specs, sizing, shipping and returns in plain, quotable text.
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 ecommerce brands.
Backlinks from roundups, creators and publications
Gift guides, niche blogs, creators and trade press link to brands whose products they have actually tried. We earn those, not buy them.
Brand mentions where shoppers ask
Reddit answers, creator reviews and press quotes tell engines which products you make and who they suit.
Reviews on your site and off it
Product reviews and store reviews both feed the summary. We build a request flow that asks at the right time and, from Standard, reply to what customers write.
Rules that apply across ecommerce marketing
Reviews and endorsements
The FTC prohibits fake reviews and requires clear disclosure of paid or incentivized endorsements. We never write or buy reviews.
Claims need support
Health, performance, “Made in USA” and sustainability claims must be substantiated. We use only claims you can back up.
Shipping, pricing and returns
Costs, delivery times and return terms must be clear before checkout. Clear policies also help engines answer shopper questions.
Email, text and privacy
Marketing emails and texts need proper consent and an easy opt-out, and data use must match your privacy policy and applicable state laws.
Where we focus first
Make products easy to recommend
Clear specs, comparison content and product schema written so engines can describe and verify what you sell.
Win category and comparison searches
Collection architecture, product page content and clean technical foundations.
Earn the second order
Post-purchase and win-back flows that lift repeat revenue and review volume.
See how Ai sees your store
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 ecommerce 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 and stores?
Engines answer shopping questions with short lists drawn from product data, reviews and outside coverage. Brands with clear, consistent and corroborated information get named.
Does it matter which platform we use?
The method is the same, but the fixes differ. Shopify, WooCommerce, BigCommerce and Magento each have their own strengths and common pitfalls, and Amazon sellers face a different set again, so we cover them separately.
Do you write product reviews?
Never. We help you ask real customers at the right time and reply to what they write. Fake or incentivized-without-disclosure reviews break FTC rules and hurt trust.
Do you also manage ads and email?
Yes. Ads capture high-intent searches and email brings buyers back. Both work better once product data and reviews are in good shape.
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.