StoreSEO
Sports, outdoors & hobbies Built for Shopify

Standards, clearances, axle types. Answer them or lose the build.

Sizing & geometryComponent compatibilityLocal + online

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.

On the Shopify App Store Start Free Trial

4.9/5 from 650+ Shopify reviews

The discovery brief

Where they look

A sizing or compatibility search from a fairly technical buyer

What they ask

"gravel bike 56cm with clearance for 45mm tyres and mounts"

Why you are missing

Your listing gives a frame size and a groupset name

AI SEO Agent what StoreSEO runs on your behalf
01

The story

Lars runs a bike shop that sells locally and ships across Europe. His customers are technical: they ask about tyre clearance, bottom bracket standards, freehub compatibility, axle types and geometry numbers, and they will not guess about any of it.

His listings carried frame sizes and groupset names. The geometry tables were images, the compatibility standards were in a manufacturer PDF, and his multi-market storefronts had never had their metadata localized.

Publishing geometry and compatibility as text, building standard-led category pages, and localizing per market turned a shop with strong technical knowledge into a shop whose technical knowledge was findable.

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 research

    Cyclists research geometry, clearance, standards and compatibility with real technical depth.

  2. 2

    The compatibility check

    Bottom bracket standards, axle types, freehub bodies and tyre clearance decide whether a part is usable.

  3. 3

    The purchase

    Get the compatibility answer right and you become the shop they buy every component from.

03

What a store like this actually needs

01

Geometry and clearance as text

Stack, reach, tyre clearance and standover are compared numerically and usually published only as a table image.

02

Component standards spelled out

Bottom bracket, axle, freehub and brake mount standards decide compatibility and are rarely written in the copy.

03

Per-market SEO

Cycling retail is cross-border by default and translated storefronts routinely keep English metadata.

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

Writes compatibility and geometry detail into the description instead of leaving it in an image or PDF.

Read the guide

FAQ schema

Publishes standards, clearance and sizing answers as structured data on the products they apply to.

Read the guide

Multilingual SEO

Keeps translated storefronts carrying local metadata so European markets are actually competed for.

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, rewrite my cycling listings so bikes state their geometry, tyre clearance, mounts and sizing guidance in text, and components state their standards — bottom bracket, axle, freehub, brake mount — explicitly. Add FAQ schema for compatibility and sizing questions, build standard-led collection pages, and localize metadata on my translated storefronts. Show me which products now state their compatibility standards.

What happens: Your assistant makes the technical knowledge your shop already has into indexable text, in every market you ship to.

06

Questions

Why publish geometry numbers when the manufacturer already does?

Because the search has to match your page, not theirs. Buyers search a size with a clearance or a standard, and if your product page does not contain those figures it cannot rank for the query even though you stock exactly the right bike.

Do component standards really get searched?

Constantly. Compatibility is the single biggest source of pre-sales questions in cycling retail, which means it is also a large body of search demand. Publishing standards as text and FAQ schema captures searches and reduces support load at the same time.

07

Keep reading