Shoppers now ask AI
what to buy. Get cited.
A new front door has opened. Before they reach your store, shoppers ask ChatGPT, Perplexity, and Gemini for recommendations. If your catalog is not structured for those assistants to read and cite, you are invisible at the exact moment the decision is made. Regor fixes that autonomously.
Where your products should be showing up
of consumers have used generative AI tools like ChatGPT to shop online.
Capital One Shopping, 2026
year-over-year growth in AI-driven traffic to US retail sites (Jul 2024 to Jul 2025).
Capital One Shopping, 2026
of consumers plan to use AI chatbots to shop in 2026, nearly 1 in 4 as their default.
PartnerCentric, 2026
Why most catalogs are invisible to AI
Language models recommend what they can read, structure, and trust. Most ecommerce catalogs give them none of the three.
Thin product copy
AI assistants cite specific, structured detail. One-line descriptions give them nothing to quote, so they skip you.
Missing attributes
No material, fit, dimensions, or use case means no way to match your product to the question a shopper actually asked.
Unstructured data
Without clean, machine-readable structure, language models cannot reliably extract or trust what your catalog says.
The Enrich layer makes you citation-ready
Enrich is one of three layers in Cortex, Regor's engine. It turns a thin, inconsistent catalog into content that both on-site search and AI assistants can quote.
Rewrites copy answer-first
Assistants quote the page that answers the question fastest. Cortex rewrites weak descriptions to lead with a direct, specific answer, then the supporting detail, in the extractable form models pull from and cite.
Fills and normalizes attributes
It completes missing attributes like material, fit, size, and use case, and keeps brand, variant, and category naming consistent. Clear, consistent entities are what let an assistant match your product to a real question.
Resolves catalog ambiguity
Duplicate titles, inconsistent variants, and thin metadata make a catalog unreadable to language models. Cortex standardizes it into clean, unambiguous content, and maintains a supplemental llms.txt directory of your key pages for AI crawlers.
Keeps it fresh and in sync
AI answers favor current pages over stale ones. As prices, stock, and products change, Cortex keeps enrichment up to date, so new and updated items stay discoverable instead of drifting back into invisibility.
Rewrites you stay in control of
Enrichment is not a black box rewrite of your brand voice. Every edit is proposed and can wait for your review, or publish automatically if you enable low-risk auto-approval. Each change is logged with a before-and-after, and any rewrite is reversible with one click. You decide how much runs on its own. Read more on our Governance page.
See if AI can find your products
The free Discoverability Audit checks where your catalog stands, on-site and with AI assistants, before anything is installed.
Get your free auditNo credit card required.