SEO & performance
GEO
Generative Engine Optimization
GEO, or generative engine optimization, is the practice of making content citable by AI search engines — Google's AI Overviews, ChatGPT, Perplexity — rather than merely rankable in a list of blue links. In practice it rewards clear entity definitions, self-contained answers, structured data, factual precision, and third-party corroboration of the claims you make about yourself.
Why it matters
GEO is a response to a real change rather than a rebranding of SEO. When a search result is a list of links, the goal is to be one of them. When it is a synthesised answer, the goal is to be a source that answer is built from — and the qualities that earn that are not identical to the ones that earn a ranking.
The overlap is large. Technical accessibility, clear structure, and genuine authority serve both. But GEO puts more weight on precision, on passages that stand alone, and on whether other credible sources agree with what you say about yourself.
For an ecommerce business the practical stake is that comparison and research queries — which used to arrive as traffic — increasingly resolve inside an assistant. Being mentioned there is the new version of ranking for them.
How it works on Shopify
Five things do most of the work.
Entity clarity: state what the business is, where it operates, and what it sells, in plain terms, and back it with structured data so the machine reading it does not have to infer.
Self-contained passages: each section should answer its own question completely, because the system extracts a passage rather than reading a page. Content that depends on earlier paragraphs does not survive the extraction.
Specificity: thresholds, numbers, versions, and named conditions survive summarisation. General claims compress to nothing.
Corroboration: what a business says about itself is weighted lower than what independent sources say about it. Mentions, citations, and reviews elsewhere are part of the technical picture, not just the marketing one.
Crawler access: AI crawlers are distinct user agents, and a robots rule written years ago for scrapers can exclude a site from the sources entirely. Check robots.txt deliberately rather than assuming.
Measurement is harder than in SEO. Impressions with declining click-through on informational queries, and manual checks of whether the brand appears in assistant answers for its core questions, are what is currently available.
Common mistakes
- Treating it as a separate discipline. A site with poor technical foundations does not become citable by adding an llms.txt file.
- Answer buried below the introduction. The single most common structural failure.
- Unverifiable self-claims. "Leading agency" is not a fact a system can use. "Completed 40 Shopify migrations since 2019" is.
- Blocking AI crawlers unintentionally. Worth an explicit audit.
- Writing for length. Padding dilutes extractable passages.
- Ignoring reviews and mentions. Third-party corroboration is a ranking input for machines the same way it is a trust input for people.
When you need help
The useful starting point is a visibility audit: for the questions this business should own, what do the assistants currently say, and who do they cite? That produces a specific gap list rather than a general anxiety.
The follow-on work is content restructuring — rewriting at passage level, adding specificity, and building the entity and E-E-A-T signals that make claims credible. It is editorial work resting on a technical base, and both halves have to be right.
Need this done on your store?
Semantic SEORelated terms
- AI OverviewsAI Overviews are the AI-generated summaries Google places above traditional results, synthesised from several sources and citing them. They absorb a large share of informational clicks, which changes the goal of content: being cited in the summary now matters more than ranking beneath it. Pages win citations by answering a question directly, in a self-contained passage, near the top.
- Structured dataStructured data is machine-readable markup that tells search engines what a page means, not just what it says. On ecommerce sites it is written as JSON-LD following Schema.org vocabulary, and it is what produces rich results — star ratings, prices, and stock status in the SERP. It is also how AI search engines resolve entities, which makes it foundational to GEO.
- E-E-A-TE-E-A-T stands for experience, expertise, authoritativeness, and trustworthiness — the framework Google's human quality raters use to judge content. It is not a direct ranking factor but a description of what Google's algorithms try to approximate. For ecommerce it cashes out as real author bylines, genuine reviews, clear returns and contact information, and claims that other credible sites corroborate.