# Become the store AI can actually recommend

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> Markdown alternate: https://verityscore.io/en/product.md
> Last updated: 2026-08-19
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Read the exact words ChatGPT, Perplexity, Gemini and Claude use about your store. Fix what makes them pick someone else. Watch the answer change. All inside Shopify, all reversible.

## AI Summary

Verity Score is a Shopify app for answer engine optimization. It has six surfaces: AI shopper tests that run buyer questions on ChatGPT, Perplexity, Gemini and Claude and record each answer verbatim with its sources; product answers that check the eight questions a buyer asks an assistant on every product; fixes that prepare each correction from the merchant own content for preview and approval, reversible for 30 days; article generation that writes new articles from real demand and rewrites existing blog posts; buyer answers that publish approved FAQ answers across markets and languages; and monitoring that measures AI-referred visits and orders with a first-party pixel and marks a platform not measured rather than estimating it.

## Key points

- **What Verity Score does**: Verity Score audits how AI assistants read a Shopify store, shows the verbatim answers with their sources, prepares corrections for merchant approval, and re-runs the same buyer questions to verify the change. Source: https://verityscore.io/en/product/
- **Verity Score features**: Six surfaces: AI shopper tests, product answer coverage, fixes with approval and undo, AI article generation and rewriting, buyer answers across markets, and first-party AI traffic monitoring. Source: https://verityscore.io/en/product/
- **How Verity Score differs from AI visibility monitors**: Monitoring tools report a score. Verity Score works at product level inside Shopify, writes the approved correction back to the store, and re-tests the same questions to show what changed. Source: https://verityscore.io/en/comparison/

## There is no page one any more. There is one answer.

A buyer used to compare ten links and decide for themselves. Now they ask a question and get back one answer, naming two or three shops. Everyone else is not ranked lower. They are not in the sentence.

That changes what a storefront is for. It is no longer read by a human first. It is read by a machine deciding whether it can vouch for you, and a machine does not reward good prose. It rewards facts it can check and attribute: what the product is, who it suits, what happens if it goes wrong.

So the work moves from ranking to being checkable. The store that can be verified is the store that gets named. That is the thesis behind Verity Score, and it is why the product does not stop at a dashboard. A score cannot make you checkable. Only a change to the source can.

The six surfaces below are the steps of that change: see what is said, find what caused it, fix the source, prove it moved. One audit, one set of evidence, one approval gate. Nothing is written to your store without you, and everything can be undone for 30 days.

## Key Proof Points

- **9 + 22 + 8 factors / detectors / dimensions**: 9 GEO factors, 22 anti-hallucination detectors and 8 AI Buyer Score dimensions on every audit.
- **100+ signals per audit**: public storefront signals monitored on each run.
- **15 benchmarked verticals**: health, beauty, supplements, fashion, eyewear, jewelry, food, electronics, home, kitchen, sleep, baby, sports, pets, toys.

## See what the assistants answer about your store

AI shopper tests run the questions a buyer really asks before purchasing, on four assistants, in your market and your language. Every answer is graded: recommends you, names another shop, ignores you, warns buyers off.

- Verbatim answers, kept with the model name, the timestamp and the sources read.
- A proposal rate per assistant, so a drop is attributable rather than mysterious.
- The rival shops named inside the same answers, extracted and counted.

## Find the buyer questions your product pages cannot answer

On every product, Verity checks the eight questions a buyer asks an assistant and shows which ones your own evidence can answer today, and which ones are waiting on you.

- Answerable now versus waiting on merchant data, per product.
- Missing facts named in plain language, not as error codes.
- Published back as public product facts once approved.

## Fix the source, with your approval

Every issue arrives with its correction already written from your own content. You preview it, approve it, and it is applied to the store. Nothing is published without you.

- Review, prepare, apply, re-check: the same four steps every time.
- Reversible for 30 days after publication.
- Auto-fix available on the issues that can be corrected without merchant input.

## Write the articles buyers ask for, rewrite the ones that do not work

Verity finds the questions with real demand, drafts the article, scores it for answer engines, and waits for your approval. It also rewrites posts already on your blog, keeping your title and your byline.

- Ideas sourced from questions buyers put to assistants, not from keyword volume alone.
- Existing posts rewritten rather than duplicated, so the blog does not inflate.
- Article, FAQPage and HowTo structured data published with the piece.

## Answer once, everywhere you sell

Verity spots the questions your store never answers. You approve the wording once, and the answer serves your product pages, your markets and the assistants alike.

- Suggested questions drawn from what buyers actually ask.
- One approval, then translation across published languages and markets.
- Published as FAQPage structured data and exposed to assistants.

## See the orders AI actually sent you

A first-party pixel records the visits that came from an assistant and the orders behind them. When a platform cannot be proven to have sent traffic, it stays marked not measured.

- Visits and orders attributed per platform, first-party, no third-party cookie.
- Not measured written instead of an estimate, on purpose.
- Before and after on the same buyer questions, two weeks apart.

## How the loop runs

- See. The buyer questions that decide a sale are put to ChatGPT, Perplexity, Gemini and Claude. Each answer is stored word for word, with the model, the timestamp and every URL it read.
- Locate. Each verdict is traced back to the pages and missing facts that caused it, product by product, so a merchant knows what to change rather than that a score dropped.
- Fix. Corrections are written from the store own content, previewed, approved by the merchant, then applied. Every change is reversible for 30 days.
- Prove. The same questions are asked again after the fixes, and AI-referred visits and orders are measured first-party. A platform with no evidence stays marked not measured.

## What Verity Score does not do

- Verity Score does not control what an AI assistant answers. It corrects the public signals an assistant reads, then measures whether the answer changed.
- Attribution is only shown when a real visit proves it. Platforms without evidence stay marked not measured rather than modelled or estimated.
- Nothing is written to a store without merchant approval, which means results depend on the merchant reviewing and accepting the prepared corrections.
- The free plan covers up to 25 products, which is enough to see the pattern on a catalog but not to correct it entirely.

## FAQ

### Does Verity Score change what ChatGPT says about my store?

Not directly. No tool can write into an assistant. Verity corrects the public signals the assistants read on your store, then re-runs the same buyer questions so you can see whether the answer changed.

### Will it publish anything to my store without asking?

No. Every correction is prepared, previewed and applied only after you approve it, and every change can be undone for 30 days.

### Other apps do AEO for free. Why would I pay?

Because the free apps publish files, and a file cannot invent a fact you never wrote. llms.txt, schema and alt text declare what your pages already say. If your product page never states the material, who it suits or what happens on a return, there is nothing for those files to declare and nothing for an assistant to quote. Verity finds the missing fact, per product, writes it with you, and then re-asks the buyer question to check the answer moved. Verity publishes those files too, they are just the last step rather than the product.

### How is this different from an AI visibility monitor?

Monitors report a score across a website. Verity works product by product inside Shopify, writes the approved correction back to the store, and re-tests the same questions to show the change.

### Which assistants are tested?

ChatGPT, Perplexity, Gemini and Claude, in your market and your language, with each answer kept verbatim alongside the model, the timestamp and the sources read.

### What can I do on the free plan?

The free plan installs from the Shopify App Store with no access request and covers up to 25 products, which is enough to see how the assistants read your catalog.

### Do I need to be technical?

No. Issues are named in plain language and the corrections are written for you. The technical layer, structured data and crawler files, is handled underneath.

## Sources

- [Google: Product structured data](https://developers.google.com/search/docs/appearance/structured-data/product)
- [schema.org Product](https://schema.org/Product)
- [Shopify: App Store advertising](https://shopify.dev/docs/apps/launch/marketing/advertising)

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