Your next customer is asking an AI what to buy. Find out what it says about you.

Usually because the assistant could not read your product page clearly enough to be confident about it — not because your writing is bad. Assistants pull structured facts: who makes this, what exactly is in it, what size is it, is it still sold. When those live only inside a photo, a lifestyle paragraph or a PDF, the assistant has nothing solid to quote, so it reaches for a competitor whose page states them plainly. CITAQ reads one product URL the way an assistant reads it and shows you which of those facts are missing, ambiguous or unreadable.

Because the two are answering different questions. A search engine ranks pages and lets the shopper decide. An assistant has to commit to one answer, so it favours products whose facts it can state without hedging. A page can rank well on keywords and still give an assistant nothing quotable — and structured data that no shopper ever sees is exactly what decides it. That gap is what CITAQ measures: not how your page ranks, but how readable it is to the thing writing the answer.

You can check a single product URL with CITAQ and get a 0–100 AI Visibility Score for it, broken down so you can see what pulled it down. Beyond the score, CITAQ puts real buyer questions to ChatGPT, Perplexity and Gemini and records what they actually answer about your product — so you are reading what the assistants said, not a prediction of what they might say. Asking an assistant about your own brand by hand tells you very little by comparison: you get one answer, on one day, with no way to tell whether it was your page or your competitor's that produced it.

Because assistants judge products one at a time, not brand by brand. Two products on the same store, with the same domain authority and the same brand reputation, can read completely differently to a machine — one has a structured ingredient list, a declared identifier and a clear product type, the other describes the same things in a paragraph. That is why CITAQ scores and ranks each product individually rather than giving you one number for the whole store. A brand-level number tells you that something is wrong; a per-product read tells you which product and which field.

It shows you how AI assistants read your products, and what to change. For any product URL you get a 0–100 AI Visibility Score built from seven separate areas, so the number is never a black box. You get the specific gaps behind it, each with an estimate of how many points closing it is worth. You get the answers ChatGPT, Perplexity and Gemini actually gave when asked real questions about your product. You can put your product URL next to a specific competitor's and see, field by field, exactly what they declare that you don't. And you can check whether the AI crawlers are allowed to read your pages at all.

Seven areas, scored separately and then combined. How complete your product attributes are. How clearly the product and the brand behind it are identified. How much ambiguity is left in the wording. How clear and readable the page is. How consistent your product data is with itself. How well the page matches what a shopper is actually asking for. And how closely it matches the shape an assistant expects for that kind of product. You see all seven, so a low score always points somewhere specific.

Yes, and this is the most direct answer to “why them and not me”. Paste your product URL and a specific competitor's product URL. CITAQ reads both the same way and lays them side by side, field by field, across the same seven areas — so the output is not “you are behind”, it is a literal list: they declare an identifier and you don't, their weight is a structured value and yours is a sentence, you both leave availability out. It compares those two product pages, not two brands.

Worth checking before anything else, because if the answer is no then nothing on the page matters. CITAQ checks which AI crawlers your site actually allows and whether your product pages are reachable and readable without JavaScript. A single line in a robots file can make a whole catalog invisible to one assistant while leaving it perfectly visible to every human shopper and to Google — and because nothing about the store looks broken, this is the failure merchants find last.

Often not from your website. When an assistant describes your product it is frequently quoting somewhere else — a forum thread, a review site, a round-up article, sometimes a competitor's page. CITAQ records where each mention of your product came from and how it reads, so you can see when the thing shaping your reputation is a source you had not thought to look at.

No. CITAQ reads your product pages and your catalog; it does not write to them. Nothing about your listings, descriptions, pricing or inventory is edited on your behalf. The fixes it produces are written out for you to review and apply yourself, so you stay in control of what actually goes live on your store.

Yes — Shopify connects in one click, and from there CITAQ can read your catalog rather than one page at a time. You do not need to connect anything to start: any product URL can be checked on its own. And to answer the question directly, since it is the one merchants actually ask — assistants do recommend individual Shopify products, and they choose between them on how readable each product page is, not on which platform the store runs.

Merchants whose products have real detail worth getting right — materials, ingredients, specifications, compatibility, sizing, compliance — where an assistant getting it wrong costs a sale or creates a return. If your catalog is large enough that checking products by hand is not realistic, that is the case for it. If you sell undifferentiated products where the only thing that matters is price, this will not move much for you, and it is fairer to say so.