For e-commerce
A growing share of buying journeys now start with "ChatGPT, what's the best [product] for [need]?" — and the answer names a handful of brands before the shopper ever reaches Google or your category page. CitationDesk's free score audits your product and category pages for the structure AI needs to recommend you — and surfaces the gaps that keep you out of the answer.
What we hear from e-commerce brands
When someone asks an LLM for "the best [your category] under $X", it returns three or four brands with links. If you're not one of them, you lost the sale before the shopper ever saw your site — and your analytics will never show the visit that didn't happen.
You track Google rankings and ad ROAS obsessively. AI product-recommendation share-of-voice is a complete blind spot — you can't see which competitors the models name in your category, or for which buying queries.
Specs buried in tabs, no Product schema, marketing copy where a quote-ready spec should be — pages that rank fine on Google can be invisible to an LLM that needs to extract a clean, attributable fact to recommend you.
How CitationDesk fits
Ask the four LLMs the "best / recommended / vs" queries that precede a purchase in your category and see who gets named — then score the pages you want in that answer and fix what blocks them.
The Citation Readiness Score audits your product + category pages for the structure AI needs to recommend you — Product/Offer schema, quote-ready specs, extractable answers — and returns a 0-100 score plus the specific fixes.
When AI-driven recommendations become a real share of your funnel, a dedicated monitoring platform tracks displacement week over week — see the tools we recommend and which fits a catalog.
Worked example
Read Stacks made its catalog pages quote-ready and structured — the same product-page discipline that gets a store recommended when a shopper asks an LLM what to buy.
Read the case study →Paste any URL. 90 seconds. 0-100 score across five dimensions plus the highest-leverage fix you can ship this week.