StoreSEO
Apparel & accessories Built for Shopify

Nobody searches "AVERY DRESS - SAGE". They search the dress.

Seasonal churnVariant sprawlVisual search
Jump to the prompt The Large catalogs playbook

StoreSEO is the AI SEO Agent for Shopify merchants — a Shopify app that optimizes your store for Google and gets it cited by ChatGPT, Gemini, Claude and Perplexity.

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The discovery brief

Where they look

Google Images, then a shopping tab, then ChatGPT for a second opinion

What they ask

"linen midi dress with pockets under $120"

Why you are missing

Your product is titled "AVERY DRESS - SAGE" and has no description

AI SEO Agent what StoreSEO runs on your behalf
01

The story

Nadia runs a 900-piece boutique on Shopify. Her buying is excellent and her photography is beautiful. Her product titles come straight from her supplier line sheets: style codes, colourways, season references. Internally they are perfectly clear. On Google they match nothing at all.

Her traffic is almost entirely Instagram and paid social. Organic search brings in her brand name and very little else, because the phrases her buyers use — "linen midi dress with pockets", "wedding guest dress with sleeves" — appear nowhere in her titles, descriptions or alt text. Every season she adds two hundred products and the gap widens.

The fix was not a rebrand. It was giving every garment a description that names the fabric, the fit, the occasion and the care, alt text on every photograph, and FAQ schema answering the sizing question her customer service team answers forty times a day.

02

When SEO decides the sale

Three beats. Everything StoreSEO does on this page is aimed at the gap between the second and the third.

  1. 1

    The search

    Nobody searches your product names. They search the garment, the fabric, the occasion and the price.

  2. 2

    The shortlist

    Six tabs of near-identical dresses. The one with real detail — fabric, fit, care, returns — reads as trustworthy.

  3. 3

    The decision

    If your page cannot answer "will this fit me", the sale goes to the page that can.

03

What a store like this actually needs

01

Descriptions written for how people shop

Fabric, fit, length, occasion and care are the words buyers type. Style codes are the words your supplier types. Only one of them is a search query.

02

Images that are findable

Fashion is bought visually and a huge share of discovery starts in image search. Alt text is the only thing making your photography readable to a search engine.

03

Something that survives seasonal churn

Two hundred new products a season and as many retired ones. Optimization has to be a rule that runs automatically, not a project somebody schedules.

04

The fix

Three StoreSEO capabilities that do most of the work here. Each links to the guide that sets it up.

AI description generator

Turns a style code and a few attributes into copy that names the fabric, the fit and the occasion — the vocabulary your buyer actually searches.

Read the guide

Bulk AI alt text

Describes every product photograph across the catalog at once, opening image search on a category where the image is most of the decision.

Read the guide

Auto AI optimization

New season drops get optimized as they are created, so the catalog never drifts back to empty meta fields after a big import.

Read the guide
05

The exact prompt

Connect your store via the StoreSEO MCP server or the AI Toolkit, then paste this into Claude or ChatGPT. It is written for this business, not as a generic template.

Copy & paste 
Using StoreSEO, my product titles are supplier style codes that nobody searches. Rewrite meta titles and descriptions across my catalog so each product is described by its garment type, fabric, fit and occasion instead of its style code. Generate AI alt text for every product image, add FAQ schema covering sizing, fit and returns, and enable auto optimization so new season drops are handled automatically. Show me a before and after score table by collection.

What happens: Your assistant rewrites the catalog against how people shop rather than how you buy, describes every image, and leaves a standing rule so next season needs no second pass.

06

Questions

My products are named after supplier style codes. Does that matter for SEO?

It matters a great deal. A style code matches no search query, so the page has to earn its ranking entirely from the description, the metadata and the alt text. StoreSEO rewrites those fields around the garment type, fabric, fit and occasion, which is the language buyers actually use.

How do I keep up when I add hundreds of products every season?

Enable auto AI optimization so new products are optimized as they are created or imported. That turns catalog maintenance from a seasonal project into a rule that runs by itself, and you only hand-tune the pieces you are pushing hardest.

07

Keep reading

The playbook behind this

Large catalogs

Thousands of SKUs, duplicated supplier copy and a crawl budget going to the wrong pages. Fixed in bulk, then automated.

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