This video presents a real Shopify SEO case study for Squina, a multi-brand paella e-commerce site that grew from 138 to 579 first-page Google keywords in 16 months. It details the ACTA SEO methodology, long-tail content strategy, technical SEO fixes, structured data, and AI-assisted code editing used to achieve the results.
A short editorial from the VEONIB team on why this content matters.
This case study proves that consistent long-tail content and technical SEO can dramatically grow Shopify visibility, even without a massive budget.
Unlike generic SEO advice, this video shows unfiltered data and a real student-led execution, highlighting AI's role in scaling technical fixes.
Shopify store owners and SEO consultants should watch this to learn actionable tactics and consider implementing AI-assisted SEO workflows.
Search engine optimization practices tailored to the Shopify e-commerce platform.
Specific, lower-competition search phrases that drive targeted traffic.
A business-priority-driven SEO framework that aligns execution with client goals.
Code markup that helps search engines and AI understand page content for rich results.
Connecting pages within a site to distribute authority and improve crawlability.
The preferred URL for a page that search engines should index.
Using AI tools like ChatGPT to automate and assist with SEO tasks.
A list of conversion rate optimization best practices for e-commerce.
How did Squina increase first-page keywords by 300%?
By applying the ACTA SEO methodology: long-tail keyword research, content creation, technical SEO fixes, structured data, and internal linking.
What is the ACTA SEO methodology?
A framework that starts with the client's business priority and executes SEO operations accordingly, focusing on long-tail keywords and content clusters.
Why is long-tail keyword research important for Shopify stores?
It targets specific, less competitive queries that collectively drive significant traffic and build topical authority.
How does structured data help e-commerce SEO?
It enables rich snippets (e.g., recipes, FAQs) in search results and helps AI models like ChatGPT understand and cite your content.
What technical SEO issues were fixed on Squina?
Canonical URL errors in internal links, HTML-based 'see more' content for crawlability, and internal linking from homepage and footer.
How can AI help with Shopify technical SEO?
AI can analyze code, suggest fixes for canonical and internal linking issues, and provide step-by-step instructions for theme edits.
What is the benefit of creating recipe content for e-commerce?
It captures informational search traffic, builds remarketing audiences, and internally links to product categories.
How does internal linking with exact anchor text help SEO?
It signals to Google which keywords a target URL should rank for, improving relevance and authority.
What CRO practices were applied to Squina?
Adding reviews (Judge.me and shop-owned), lead capture via CRO checklist, and optimizing product pages for conversion.
What improvements are still pending for Squina?
Fixing footer follow tags, adding FAQ schema to categories, cleaning up H2 headers, and expanding internal linking.