Posts nobody searches for
Company news, "5 tips" lists and product announcements written without keyword data. Six months later they have zero impressions in GSC.
Shopify-only SEO: the technical base, the collection pages that earn revenue, and the content and links that push them up.
See allGet your store cited when shoppers ask ChatGPT, Google AI Mode and Perplexity what to buy.
See allTwo kinds of brands: Western brands selling $1,000+ products, and Chinese brands selling to the West.
See allBuying guides, comparison pages and blog posts written for the searches people make before they spend $2,000 on a sauna or a pool table. Every article is built to rank, earn links and hand the reader to the collection page that sells.
We open Search Console on a new client store and the blog tells the same story almost every time: plenty of posts, very few impressions, and almost no clicks into products.
Company news, "5 tips" lists and product announcements written without keyword data. Six months later they have zero impressions in GSC.
The article ranks, the reader learns something, then leaves. No link to the collection page, no product block, no next step.
A 500-word "X vs Y" post competing against 3,000-word guides with spec tables, cost breakdowns and photos. Google already told you what it wants.
A post targets "best infrared saunas" and so does the collection. Google keeps swapping the two URLs and neither holds page one.
Generic text with wrong dimensions and invented features. On a $4,000 product, one wrong spec costs more trust than the post ever earns.
No original data, no sizing charts, no cost guides. Bloggers and journalists have no reason to cite the store.
A store blog has five jobs. If an article doesn't do at least two of them, we don't write it.
We start from around 10,000 candidate keywords and cut them to about 60 targets for the month, split between collection pages and articles by search intent.
Look on page one. Google shows you exactly what it rewards. We note format, length, headings, tables and the questions every top result answers. Length lands between 1,500 and 3,500 words based on what ranks.
The brief carries your specs, prices, warranty terms and our SERP notes. AI produces the first draft from that brief, never from a blank prompt.
A human editor rewrites for voice and accuracy. At least three people read and fact-check every article before it is published.
We publish in Shopify, add internal links to the right collections and products, add article schema and log it in a live Google Sheet you can see anytime.
Positions, clicks and revenue go into the monthly report. Posts that slip get refreshed instead of left to decay.
How to choose a greenhouse for a windy site, what size cold plunge fits two people, which grill fuel suits how you cook.
Model vs model, material vs material, brand vs brand, with honest trade-offs and spec tables.
Installed cost ranges, room dimensions, electrical requirements. The pages buyers bookmark and share.
Category roundups that feature your products fairly and say who each one is for.
Old articles rewritten, merged or redirected based on GSC data.
Every article mapped to the collection and product pages it should support.
A Google Sheet listing every URL, target keyword and publish date.
Revenue, positions, traffic and impressions from GSC, Ahrefs, Semrush and Shopify.
For one Chinese automotive accessories brand with 30 products, we published hundreds of thousands of words across 360+ pages. Organic revenue reached $758,772.94 in seven months.
Nobody buys a $6,000 outdoor kitchen from an ad on the first click. They compare fuel types, read about stainless grades, measure the patio and ask their partner. That research happens on Google, and more of it now happens in ChatGPT and AI Overviews. The brand that answers those questions well is the brand on the shortlist.
We copy the structure of what already wins, then do it better. For most high-ticket categories that means a clear verdict near the top, a spec or comparison table, cost ranges, sizing or installation requirements, a section on who the product is not for, and photos of the real product. Word counts follow the SERP: some queries are won with 1,500 words, some need 3,500.
We use AI for the first draft because it is fast and consistent. We don't publish that draft. An editor rewrites it against your spec sheets, and at least three people check facts, claims and links before it goes live. That is how our standard plan has handled around 20 articles, roughly 100,000 words, a month without publishing nonsense.
Blog posts target informational searches ("how to choose", "vs", "cost of"). Collection pages target buying searches ("infrared sauna for sale", "4-person sauna"). We map every keyword to one URL before writing, so the article supports the collection instead of stealing its ranking. When cannibalization already exists, we merge or re-target and redirect.
For Chinese brands, Amazon listing copy does not work as a buying guide. We write native English for US, UK and Australian readers, with units, standards and references they recognize. If you also sell in other languages, see international SEO.
As long as the pages already ranking for that keyword, then better. We read page one before writing and match the length and format Google rewards. In practice most of our articles land between 1,500 and 3,500 words. A cost question may need 1,500 words and a table. A full buying guide for a high-ticket category often needs 3,000 or more.
Yes, for the first draft, and we say so openly. The draft comes from a brief that includes your specs, pricing and SERP research. A human editor then rewrites it, and at least three people read and fact-check each article before it is published. You get speed without the wrong dimensions and invented features unedited AI copy is known for.
It should, if it is planned that way. Each article links to the collection and product pages it supports, which passes authority and helps Google understand your site structure. Guides that earn backlinks pass that value on through those internal links. We map keywords first so posts and collections never target the same search.
It depends on how many keywords your category has and how strong your competitors are. Our standard plan has historically included about 20 articles, roughly 100,000 words, alongside 20 collection pages a month. Smaller categories need less. We would rather publish ten articles that match real searches than thirty that nobody looks for.
You choose. Some clients want to approve every article, others prefer to review the live Google Sheet and flag changes after publishing. Either way, our editors fact-check against your product data, and anything we are unsure about, like a warranty term or a certification, gets confirmed with you before it is published.
Clear, specific, well-structured guides are the kind of pages AI assistants tend to quote, especially when they answer comparison and cost questions directly. There is no guarantee of a citation. We write with that use in mind and track AI visibility as part of our GEO work if you want it measured.
We build and optimize Shopify collection pages for every buyer keyword, around 20 a month, with copy, FAQs and internal links placed so they help conversion.
Link building & digital PRWhite-hat link building and digital PR for Shopify stores: data-led stories, trade press, and supplier and manufacturer links pointed at the pages that sell.
Generative engine optimization agencyGenerative engine optimization for Shopify: how ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini and Copilot choose products and sources, and the work that gets your store named and cited.
High-ticket brands, $1,000+Shopify SEO for brands selling $1,000+ products: collection pages by size, use and material, buying guides, comparisons, reviews, and the delivery and financing content that closes long research journeys.
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