Shopify SEO Consultant
Your Shopify store ranks. Your traffic is flat anyway. That’s not an SEO problem. It’s an AI search problem, and your theme’s default schema can’t fix it.
A Shopify SEO consultant fixes the technical layer Shopify themes get wrong by default: duplicate content from collection filtering, thin auto-generated tag pages, missing or invalid Product schema, and crawl waste from variant URLs.
In 2026, that work has a second job: making your products retrievable by ChatGPT, Perplexity, and Google AI Overviews, which now answer shopping questions before buyers ever reach your store.
I do both layers directly: hand-built Liquid schema, collection architecture, and AI citation optimization for stores doing $1M-$10M.
Why Shopify Stores Lose AI Search Visibility
Shopify makes it easy to launch a store and quietly hard to make one machine-readable.
Out of the box, most themes ship with schema that validates but says almost nothing. No Offer availability, no AggregateRating, no linkage between your products and your brand entity. Google tolerates this. Answer engines don’t. When a buyer asks ChatGPT “what’s the best [your product category] under $200,” the engines pull from sources with clean, complete, parseable structured data, and if that isn’t you, it’s a competitor.
Three failure patterns I see in nearly every Shopify audit:
- Template schema that lies by omission. The theme outputs a Product object with a name and price and nothing else. AI engines treat incomplete entities as low-confidence sources and skip them.
- Collection pages with no semantic identity. Your collection pages are your money pages, but most have a title, a grid of products, and zero extractable content. There’s nothing for an answer engine to cite.
- Crawl budget bleeding into variants and filters. Variant parameters, sort parameters, tag-page sprawl. Googlebot and AI crawlers spend their budget on duplicates instead of the pages that convert.
None of this shows up in a Semrush site score. All of it shows up in revenue.
Liquid Schema Markup, Done Properly
This is the part most SEO agencies subcontract or skip, because it requires actually writing code inside your theme.
I build dynamic Liquid schema snippets: structured data that pulls live from your product objects, metafields, and collection data, so it stays accurate as your catalog changes. No hardcoded JSON that goes stale the first time you update a price. This is work I do weekly on client stores right now, not a service line I added because AI is trendy.
- Product schema with full Offer data, availability, GTIN/MPN where present, and review markup wired to your actual review app
- Collection page schema (CollectionPage + ItemList) that gives your category pages a machine-readable identity
- Organization and brand entity markup connecting your store to your reviews, socials, and mentions. This is the trust graph AI engines check before citing anyone
- FAQ and article schema on supporting content, structured for direct answer extraction
Everything is validated, monitored, and, unlike app-generated schema, doesn’t inject render-blocking junk or duplicate what your theme already outputs.
Collection and Product Page Architecture
Schema gets you parsed. Architecture gets you chosen.
- Collection pages rebuilt as answer sources: a direct answer block above the grid, buying-guidance content below it, internal links that concentrate authority instead of scattering it across tag pages
- Canonical and crawl strategy for filtered and variant URLs, so crawlers index the twenty pages that matter instead of two thousand that don’t
- Internal link architecture that mirrors how buyers (and LLMs) actually navigate a purchase decision: category, comparison, product
- Site speed triage where it affects crawl and conversion. Not a 40-page Lighthouse report, just the fixes that move numbers
What Working With Me Looks Like
I’m a senior technical SEO consultant, not an agency. There is no account manager, no junior fulfillment team, and no monthly deck that restates Google Analytics. You get the person who does the work.
- Start with the free AI Visibility Audit. 8 minutes of analysis showing where your store loses to AI search, in dollars, and which competitors took it.
- Project engagements for defined fixes: schema build-out, collection architecture, migration cleanup.
- Retainers from $2,000/mo for ongoing technical + AEO work: implementation, citation tracking, and iteration as the answer engines change, because they change monthly.
Typical first-citation window for Shopify clients: inside 45 days. This page covers the Shopify stack specifically; for the broader strategy, see the e-commerce SEO consultant page.
Common Questions
Do I need a Shopify SEO consultant if I already use an SEO app?
Apps handle defaults; they can’t restructure your collection architecture, write custom Liquid schema tied to your metafields, or fix crawl strategy. Apps are a floor. Stores doing $1M+ lose real money at the floor.
Can you work with my existing theme and apps?
Yes. All schema and architecture work is built into your theme (or a duplicate for safe staging) and designed around your existing review, subscription, and merchandising apps.
What’s the difference between Shopify SEO and AEO for Shopify?
SEO gets your pages ranked in Google’s list of links. AEO (answer engine optimization) gets your products cited when ChatGPT, Perplexity, or AI Overviews answer a buying question directly. The technical foundation overlaps about 70%, which is why doing them together costs less than doing them separately.
How is this different from hiring an ecommerce SEO agency?
Agencies price in overhead: account managers, reporting layers, junior execution. I price in outcomes. You work directly with the specialist who writes the code, and you can verify every deliverable in your theme files.
How fast will I see results?
Technical fixes (schema, canonicals, crawl) typically reflect in Search Console within 2-4 weeks. AI citations usually begin inside 45 days. Anyone promising faster is guessing; anyone promising slower is padding a retainer.