Most SEO agencies learned their craft on local service businesses: one phone number, one map pin, a handful of pages. An online store is a different game entirely, hundreds or thousands of product pages, a feed Google has to trust, and AI shopping answers that cite products, not postcodes. We built our ecommerce SEO, AEO and GEO stack specifically for that game.
Ecommerce SEO is the work of making every product and collection page easy for Google, AI answer engines and shoppers to understand, so you show up for "best [product] for [use case]" as reliably as you show up for your own brand name. That means product and offer schema, a clean Google Merchant Center feed, collection architecture that doesn't fight itself, and content that earns a place in AI-generated buying guides, on top of the technical SEO every site needs.
A plumber or a law firm wins with a handful of excellent local pages aimed at one goal: a call or a quote. An online store wins across a whole catalogue aimed at checkout. Treating both the same way is why so much "generic" SEO underperforms for online stores.
| Dimension | Traditional service business | Ecommerce store |
|---|---|---|
| Conversion goal | A phone call, a quote request or a booking | A completed checkout, often with upsells and repeat purchase |
| Page count & type | A few dozen pages built around services and suburbs | Hundreds to thousands of product and collection pages, usually templated |
| Technical priority | Google Business Profile, NAP consistency, local schema | Site speed at scale, faceted navigation, canonical and duplicate-content control, Product & Offer schema |
| Search intent | Heavily "near me" and local intent | Mostly national, transactional and comparison intent |
| AI/GEO angle | Being named "best [service] in [suburb]" | Being cited in "best [product] for [use case]" and comparison answers |
| Trust signals | Reviews, licensing, years in the local area | Reviews, ratings, return policy, verified claims (materials, origin, sustainability), real UGC |
| Where you lose rank | Thin local pages, inconsistent business details | Thin or duplicate product descriptions, broken feeds, out-of-stock pages left live |
| Content cadence | Evergreen service and FAQ pages, updated occasionally | Seasonal collections, new product launches, buying guides, constant catalogue churn |
Price, availability, ratings and reviews marked up so Google and AI tools can quote them accurately, not guess.
Feed errors are the single most common reason products vanish from Shopping results and AI shopping answers. We audit and fix them.
Category and filter structure that avoids duplicate and thin pages instead of quietly creating thousands of them.
Core Web Vitals across thousands of templated pages, not just a hand-tuned homepage.
Genuine review volume and structured review markup, the trust signal both buyers and AI models check first.
Buying-guide and comparison content built so ChatGPT, Gemini and Perplexity can verify and recommend your products by name.
We check every product and collection page, plus your Merchant Center feed, for errors blocking visibility.
Schema, canonicals, site speed and collection structure, cleaned up across the whole store.
Category content, buying guides and comparison pages written to rank and to be cited by AI.
Structured answers and verified product facts so AI shopping tools can recommend you by name.
Rankings, Shopping visibility, AI citations and revenue impact, in plain English every month.
One business per industry, per postcode, so when we take on your store your direct competitors can't buy the same spot. New clients get $100 off their first month.
A service business wins on a handful of local landing pages aimed at calls and quotes. An ecommerce store wins across hundreds or thousands of product and collection pages aimed at checkout, so the priorities shift to catalogue structure, product schema, shopping feeds and duplicate-content control instead of Google Business Profile and local landing pages.
Yes. We work across Shopify, WooCommerce, BigCommerce and most major ecommerce platforms, including custom-built stores.
Yes. When someone asks an AI assistant for the best product for a specific need, it answers from product data, reviews and comparison content it can verify. GEO for ecommerce is the work of making sure your products are the ones it can verify and cite.
A product feed is the structured file that tells Google Shopping, Merchant Center and AI shopping tools what you sell, at what price, with what availability. Errors in the feed stop products appearing in Shopping results and AI answers even if the website itself ranks well.
Yes. Colour and size variants, filtered collection URLs and pagination commonly create thousands of near-duplicate pages that dilute rankings. We fix canonical tags, URL structure and collection architecture so search engines index the right pages.
Technical and schema fixes can lift Shopping and search visibility within weeks. Ranking growth for competitive product and category terms typically builds over 3 to 6 months, similar to other SEO work.
Platform, product count and the goal, and we'll scope it.
info@intriguedigital.com.au
Intrigue Digital