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StoreCited
Methodology

How we measure AI search visibility

A reproducible audit of the signals search and AI systems actually use — not a black box.

01

Crawl

We fetch your homepage, a product page, a collection, and your FAQ/about pages the way a search or AI crawler would — reading the real HTML, not a cached preview.

02

Audit

We run deterministic checks across six categories, scoring each signal by how much it affects whether AI can understand and cite your store.

03

Model questions

We generate the high-intent questions shoppers actually ask AI in your category, and check whether your store is structured to answer them.

04

Benchmark

We surface the competitors AI tends to cite in your space and the concrete advantages they have over your current setup.

The six categories

What goes into your score

Structured data

Product, Offer, Review, FAQ, and Organization JSON-LD are how machines parse your store. We check which types are present, valid, and exposed to crawlers — not buried in lazy-loaded widgets.

Product readiness

AI needs attributes — material, size, use-case, dimensions, ingredients — to match a product to a specific query. We grade whether your PDPs carry structured detail or just marketing prose.

Buyer-question content

Answer engines cite the page that answers the question. We check for FAQ content and comparison / buying-guide pages that map to real, high-intent buyer questions in your category.

Trust & reviews

Reviews and ratings are trust signals AI weighs — but only if they're exposed as schema, not just rendered in an app widget. We check for both the proof and its machine-readability.

Crawlability

If crawlers can't reach or index your pages, nothing else matters. We check robots.txt, sitemaps, canonical tags, noindex, and the emerging llms.txt standard.

Brand entity

AI models you as an entity. An about page, Organization schema, and sameAs links to your social and reference profiles help AI recognize and trust your brand.

What we promise — and what we don't

We will never promise that ChatGPT or Google will recommend you — no honest tool can control that. What we promise is to make your store more complete, indexable, and citable by search and AI systems, which is exactly what Google and Shopify say those systems depend on. That's a durable advantage, not a trick.

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Frequently asked questions

Is this just AEO/GEO buzzwords?

No. We don't sell mystery. Google has said its AI features still run on core Search — indexing, content, and structured data. We grade the concrete, verifiable things that make a store understandable and citable, and tie every finding to a fix.

Do you actually query ChatGPT and Perplexity?

The score is built on a deterministic crawl-and-audit of your store plus category modeling — it's reproducible and doesn't depend on a single, noisy AI answer. Live AI-mention tracking is part of our monitoring beta.

Why a score out of 100?

Each signal is weighted by its impact on AI visibility and rolled up across six categories. The number gives you a baseline you can improve and re-measure — not a vanity metric.

How accurate is the competitor list?

We infer well-known brands AI tends to cite in your category and explain the structural advantages they have. It's a directional benchmark to show what 'good' looks like, not a scrape of live AI outputs.