Shoppers ask Ai what to buy. Make your BigCommerce products the answer.
BigCommerce suits growing catalogs, multiple storefronts and B2B ordering. Engines recommend products they can read and verify, so clean product data, tidy category structure and real reviews decide who gets named.
- We’ll test the questions shoppers ask about your category
- Free, no obligation
- Plain-English findings
The searches that decide who gets named
Short, real searches we track for BigCommerce stores, 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 specs, reviews and roundups.
- [brand] reviewsReview platforms and forums shape the verdict.
- [brand] vs [brand]Comparison content and specs win.
- is [store] legitReviews, policies and contact details build trust.
- [product] wholesale or bulk pricingB2B buyers look for terms and account details.
- where to buy [product]Feeds and availability decide who is shown.
The catalog and storefront test
BigCommerce gives you strong structure out of the box. We check whether your catalog, category pages and feeds turn that structure into something engines can read and recommend.
- Product data and schemaComplete product content with one clean source of structured data, not a theme and two apps repeating each other.
- Categories and faceted navigationFilters and sort options that help shoppers without creating thin or duplicate URLs for engines.
- Shopping feed and channelsA Merchant Center feed with accurate price, stock and identifiers, kept in sync with your other sales channels.
- Multiple storefronts and currenciesSeparate storefronts or regions with correct canonical and language signals, so they do not compete.
- Reviews and trust pagesSpecific reviews with accurate markup, plus clear shipping, returns and contact information.
Sources that shape recommendations
Sources that commonly feed Ai answers and search results for BigCommerce stores. Your audit confirms which ones matter in your market.
Google Merchant Center and Shopping
Feeds that power shopping results and feed Ai answers.
Reddit and community forums
Opinions engines read for real-world fit.
YouTube and creator reviews
Video reviews that surface for comparisons.
Trustpilot and review platforms
Legitimacy signals for store and brand questions.
Roundups, trade press and industry sites
Editorial lists and trade coverage that name specific products and suppliers.
Your product and category pages
Specs, sizing, terms and policies in plain 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 BigCommerce stores.
Backlinks from roundups, trade press and creators
Gift guides, niche blogs, industry sites and creators link to brands they have tried. We pursue placements you genuinely qualify for.
Brand mentions in communities and creator content
Reddit answers, creator reviews and press quotes tell engines what you sell and who it suits.
Reviews from real customers
Product and store reviews feed the summary. We set up well-timed review requests and, from Standard, reply to what customers write.
Where we focus first
Make products easy to recommend
Specs, comparison content and product schema written to be quoted.
Win category and comparison searches
Category structure, faceted navigation and product content that engines can crawl cleanly.
Earn the second order
Post-purchase, replenishment and win-back flows that lift repeat revenue.
What’s different for BigCommerce stores
Theme and app overlap
Themes and apps can each output structured data. We audit what your store actually emits and keep one clean source.
Migration and redirects
Moving platforms loses rankings when old URLs are not redirected. We plan 301 redirects before any move.
Review integrity
Never fake or selectively filter reviews, and disclose incentives clearly. FTC rules cover both.
Consent and privacy
Marketing consent, cookies and data use must match your privacy policy and applicable state laws.
See how Ai sees your BigCommerce store
Find out whether ChatGPT, Gemini, Perplexity and Google recommend your products for the questions shoppers ask, which stores 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 BigCommerce 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 BigCommerce stores?
Engines recommend products and stores they can read and verify, whatever the platform. Clean data, detailed reviews and outside mentions are what get you named.
Is a BigCommerce store handled differently?
The method is the same. The fixes differ, such as how filters, multiple storefronts and feeds are set up. Your audit covers those specifics.
Do you support B2B stores?
Yes. Buyers searching for wholesale terms, account pricing and ordering rules need clear public information, even where prices stay behind a login.
What is the quickest win?
Complete product data with one clean source of schema, a tidy feed and controlled faceted URLs.
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.