Off-site.
The first product question increasingly happens in ChatGPT, Perplexity, Google's AI answers and Copilot, before anyone visits your store.
Why it matters
INDEXED · READ · CITED
Make sure your Shopify store is ready for the next wave of shoppers.
Your next customer might be an AI model deciding, in milliseconds, whether to mention you. We make Shopify storefronts answer correctly.
How AI crawlers read a storefront
Agents
- GPTBot Reading
- PerplexityBot Reading
- Google-Extended Reading
- ClaudeBot Reading
- Amazonbot Queued
Your storefront
- / Home
- /products/* Product pages
- /collections/* Collections
- /pages/faq FAQ schema
- /llms.txt Served
- /robots.txt Allow
WHY AEO / GEO
The shopper's first question is moving off your homepage.
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) decide which products get mentioned when someone asks an AI what to buy. For Shopify merchants, the levers are mostly hidden, and mostly fixable.
A handful.
Many stock theme product pages expose only a few structured fields: name, price, availability. Answer engines can use far more.
What we look for
By accident.
Most stores never chose an AI-crawler policy. robots.txt says whatever the Shopify default says.
What we look for
Mostly invisible.
The work isn't redesigning your product page. It's a dozen quiet technical contracts, honored correctly, that let a model read your catalog the way it reads a reference text.
How we think about it
A NOTE ON WHAT YOU'LL SEE
Most of this work doesn't change how your store looks.
If we do our job well, your art direction, photography, and brand voice stay untouched. What changes lives in the markup, the metafields, the taxonomy, and the routes AI crawlers reach for. Your merchandisers won't notice. Your designers won't notice. ChatGPT will.
We'll show you a before/after of what a model can actually read from your store today, and what it could read after we ship. That's usually the most surprising page of the engagement.
WHAT WE DO
Six levers. Mostly technical. All measurable.
Here's the full surface area of an AEO/GEO engagement. Your scope is usually a subset, based on what the audit finds.
Schema.org across the catalog
Product, Offer, AggregateRating, Brand, FAQPage, Article, Organization. Coverage per template, not per page. We write it into your theme so it's rendered server-side and always in sync with your Shopify data.
- Product + Offer + Brand
- AggregateRating + Review
- FAQPage on product pages + /pages/faq
- Organization + WebSite + BreadcrumbList
Metafields → structured answers
We model your real product knowledge (materials, fit, care, sourcing, compatibility) as metafields and metaobjects, then expose it in both the product page and the JSON-LD. One source of truth, two audiences: people and crawlers.
- Custom product metafields
- Global FAQ metaobject → FAQPage schema
- Editorial metaobjects for long-form
- Admin-editable, no developer required
Shopify's standard product taxonomy
Shopify's built-in product taxonomy (Apparel > Tops > Sweaters) and its standard category metafields are exactly what answer engines expect. We assign every product to the right category, fill in the standard attributes (color, material, age group, size), and keep it clean as your catalog grows.
- Full category assignment
- Standard category metafields
- Attribute hygiene audit
- Merchandiser playbook
Product pages a model can parse
Heading hierarchy, semantic HTML, unique descriptions per variant, specs in tables, FAQs on the page. Nothing a shopper would notice; everything a language model needs to pull a clean answer from your page.
- H1 to H3 hierarchy audit
- Semantic sectioning
- Variant-aware copy
- Spec tables, not prose
llms.txt + AI-crawler policy
We replace Shopify's generic agent files with an llms.txt and agents.md written for your store: what you sell, what's canonical, and where the high-value content lives. We align robots.txt with your stance on GPTBot, Google-Extended, ClaudeBot, PerplexityBot, and Applebot-Extended. Explicit, not accidental.
- Custom /llms.txt and /agents.md
- Per-agent robots.txt policy
- Sitemap hints for AI
- Documented rationale
Crawlability & performance
If a crawler times out, you're not in the answer. We chase down the Core Web Vitals problems specific to Shopify themes (third-party apps, unused Liquid, render-blocking assets) and keep response times fast.
- Core Web Vitals pass
- App-bloat audit
- Liquid render budget
- Lean, cacheable markup
WHAT A MODEL SEES
Two views of the same product page.
Before: a stock theme product page
<product>
name: "Campfire Merino Crew"
price: 148
availability: InStock
</product>- 3 structured fields
- No category taxonomy
- No FAQ schema
- Generic llms.txt
- Sparse variant metadata
After: an AEO-ready product page
<product>
name, brand, sku, gtin13
category: "Apparel > Tops > Sweaters"
material, color, size, fit, careInstructions
offers: { price, currency, availability, shipping }
aggregateRating: { 4.8 · 314 reviews }
faq: [ "How does it fit?", "Machine washable?", ... ]
</product>- 24+ structured fields
- Full Shopify taxonomy category
- FAQPage + Article + BreadcrumbList
- Custom llms.txt; crawler policy explicit
- Variant-aware structured data
Illustrative example.
FREE · NO OBLIGATION
Get a free AEO/GEO audit of your Shopify store.
Send us your store URL. Within 3 business days you'll get a written report covering structured data coverage, crawler policy, page structure, and the highest-leverage fixes, whether or not you end up working with us.
- JSON-LD coverage map, template by template
- robots.txt and llms.txt review for AI crawlers
- Product page structure and performance check
- A prioritized fix list, with effort estimates
- A 20-minute readout call with a developer, if you want one