Use Case · E-Commerce
Be the product AI recommends
A growing share of product discovery now happens inside ChatGPT, Perplexity, and Gemini. Shoppers ask conversational questions — "what's the best wireless earbuds under €150 for a gym workout?" — and the AI returns a short list. RankRush is the platform that gets your catalog onto those short lists.
Who this is for
You're a direct-to-consumer brand, an online retailer, or a marketplace operator. You already have a working storefront — Shopify, WooCommerce, BigCommerce, or a custom stack. Your SEO baseline is decent. But traffic growth from Google has flatlined, and you're watching review-driven AI engines route shoppers toward your competitors. You don't need another keyword tool; you need to fix what the AI sees when it scans your product pages.
The AI visibility problem
Product pages built for human shoppers often look invisible to language models. Common gaps that RankRush surfaces on day-one audits:
- Product Schema completeness — Offer, AggregateOffer, brand, GTIN
- Review aggregation markup that AI engines actually parse
- Category page structure with extractable feature lists
- Price and availability signals AI can quote with confidence
- Internal linking from product → category → brand pages
Each gap is a citation you don't get. AI engines preferentially quote pages with rich, structured data and aggregated reviews because that's what they can confidently extract and attribute.
How RankRush helps
The RankRush audit scans every product and category page across your storefront, scoring AI-readability on 80+ checkpoints calibrated for e-commerce. You get a prioritized fix list — what to ship this week to move the most citations, what to defer, what's already strong. The visibility scanner then tracks your brand and your top SKUs across ChatGPT, Claude, Perplexity, and Gemini, so you can see citation counts climb (or stall) as the fixes land.
When the audit and visibility tracking are dialed in, the Buzz module seeds authentic mentions of your brand and products on Reddit, Quora, and other discussion sites where language models continually pull training and retrieval signal. The compounding effect: fix what AI sees on-site, then build the off-site authority that keeps you in the citation set.
What to do next
Run a free visibility scan on your storefront. The audit takes a few minutes and returns a scored report — you'll see exactly which product templates, category pages, and review widgets are costing you AI citations. Starter plans cover a single storefront; Growth and Agency scale to multi-brand and white-label setups.
Get Your Free Visibility Score