Shoppers ask AI what to buy. Give it a reason to say your brand.
"which beard oil is good for sensitive skin?" gets three products in the answer — and assistants build that shortlist from sites they can parse. AnvixaAI publishes your product facts, policies and story so the comparison includes you — accurately.
AnvixaAI asks the AIs about you every week — so you never have to guess.
The problem
Your product pages convince people. They confuse machines.
Your best selling points are trapped in tabs and images
Your specs live inside accordion tabs. Your materials are in lifestyle photos. Your sizing is a chart image, and your returns policy is dense prose three clicks away. A language model comparing products can't open your tabs or read your images — so when it writes the shortlist, the brands with structured facts win the sentence.
Structured data is how you stop being a maybe. It's the difference between AI guessing about your products and AI knowing.
The fix
Your catalog, in the language AI actually reads.
Every product page, machine-readable
AnvixaAI crawls your store, extracts the facts your pages already state, and publishes schema.org JSON-LD on every page — each product with its real materials, audience and return policy, your brand and its story linked into one knowledge graph. Anything it can't verify on your site never ships.
- Automatic setup handles catalogs of any size, batch by batch
- Facts come from your own product pages — nothing invented, ever
- You approve every page before it goes live
// generated from your pages, approved by you "@type": "Product", "name": "Cedar Beard Oil — Unscented", "brand": "Cedar & Co.", "material": "Jojoba · argan · cedarwood", "audience": "Sensitive skin", "hasMerchantReturnPolicy": "30-day returns" // read from /products/beard-oil
Built for stores
Then it keeps working the room for you.
Every week we ask ChatGPT, Gemini and Claude the questions your shoppers ask — "best unscented beard oil," "does this brand ship free?" — and report whether each engine recognizes, cites and recommends you.
Point us at up to three competing stores. We map their content against yours in shopper language — the buying guides, comparisons and care instructions your site is missing — and hand you a writing plan with proof for every verdict.
Heat maps built from anonymous totals show how shoppers actually use your product pages — no cookies, no IDs, nothing that follows a visitor. And an AI Readiness score prices every fix in points, so you always know what to do next.
Who this fits
Any platform that can take a script tag — Shopify, WooCommerce or fully custom.
Questions
The honest answers.
We have 400 products — is that a problem?
No — automatic setup was built for exactly that. It crawls, generates and publishes batch by batch, so sites of any size work, and if you'd rather keep a closer eye you can review and approve page by page instead.
Products sell out and change — does the schema rot?
No. A bi-weekly drift watch re-crawls your pages and flags anything whose schema has gone stale, and when you publish an update it's live within the hour.
Does this replace my platform's built-in SEO?
It goes far beyond template defaults: grounded, per-page structured facts plus a knowledge graph of your brand — its people, products and story — with weekly proof of what ChatGPT, Gemini and Claude actually say about you.
Can it invent ratings to make us look better?
Never — grounding is enforced by code, not by asking the model nicely. Reviews and ratings are never generated, and any claim that can't be traced to a page on your site is stripped before publishing.
The shortlist is being written. Get on it.
Your store already has the facts. AnvixaAI turns them into knowledge AI can learn.
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