// [ Ecommerce Brands ] \\
Get your ecommerce brand recommended by AI shopping assistants
Shoppers increasingly ask ChatGPT and Perplexity what to buy before they visit a store. Rankdawn tracks whether your brand appears in those AI-generated shopping answers and shows you the specific content changes that get you named more often.
Get my free GEO Score// [ The Problem ] \\
AI is quietly becoming a product discovery channel
When a shopper asks an AI assistant for the best product in a category, it typically names two or three specific brands — and if yours is not one of them, that customer often completes their purchase decision before ever landing on your site. Your product pages, reviews and comparison content may be excellent for human readers and traditional SEO while still being effectively invisible to the AI models increasingly influencing category decisions, because those models look for structured, extractable claims rather than persuasive marketing copy.
34%
of product discovery now touches an AI-assisted search
2–3
brands named per AI shopping recommendation
0
visibility into AI-driven discovery in standard ecommerce analytics
// [ How It Works ] \\
How Rankdawn tracks and improves your AI shopping visibility
Rankdawn treats AI shopping assistants as a discovery channel worth measuring and optimizing, the same way you already measure organic and paid search.
Track the shopping queries your customers actually ask
Rankdawn generates realistic product-discovery queries in your category — "best [product type] for [use case]," "[your product] vs [competitor]" — and runs them against ChatGPT, Perplexity and Claude.
See your citation rate and who is winning instead
For every query where your brand was not named, Rankdawn logs which competitor was recommended instead, so you know exactly which products and brands you are losing category visibility to.
Get the structured product content AI models actually extract
Rankdawn analyzes your product pages and generates the specific structured description — clear specs, comparisons and use cases — that AI models pull from when forming a recommendation.
Re-scan weekly to catch shifts before a launch or season
Category visibility can shift quickly around new competitor launches or seasonal demand. Weekly automatic re-scans mean you see a drop in citation rate before it costs you a full season of sales.
// [ See It In Action ] \\
What winning AI search actually looks like
“best code snippet manager for developers”
Cited — Position 1
Not cited — Competitor appeared
Cited — Position 2
// [ The Comparison ] \\
AI shopping visibility versus standard ecommerce analytics
Your existing analytics stack measures what happens after a shopper lands on your site. Here is the gap for what happens before that.
| Feature | Rankdawn | Ecommerce analytics |
|---|---|---|
| On-site conversion and revenue tracking | ||
| AI citation rate for product-discovery queries | ||
| Competitor product visibility on shared queries | ||
| Structured product content recommendations for AI extraction | ||
| Weekly automatic re-scans ahead of seasonal shifts |
// [ FAQ ] \\
Common questions
Does this work for a specific product line, not just my whole brand?+
Yes. You can track queries scoped to a specific product line or category — for example, a single SKU category — alongside broader brand-level queries.
How does Rankdawn know what content AI shopping assistants use?+
Rankdawn analyzes your existing product pages for the structured details — specs, comparisons, clear use-case statements — that language models most commonly extract and cite when forming a product recommendation, and generates specific content to fill the gaps.
Can I see exactly which competitor is beating me on a query?+
Yes. Every tracked query shows which brand was named if yours was not, giving you a query-level view of exactly where and to whom you are losing AI-driven discovery.
Will this help during a product launch or seasonal push?+
Weekly automatic re-scans mean you can track how a new product launch affects your citation rate in near real time, rather than discovering a visibility gap after the season has passed.
Does this replace my SEO or paid search strategy?+
No — it adds visibility into a discovery channel that traditional SEO and paid search tools were not built to measure: what AI assistants recommend when a shopper asks them directly.
Track which AI platforms recommend your products
See your product citation rate across ChatGPT, Perplexity and Claude and get the fix to close the gap.
- Product-level query tracking
- Competitor visibility included
- Weekly automatic re-scans
14-day free trial. No credit card required to start.