Shopify eCommerce SEO in 2026
14 Nov 2025

WRITTEN BY
Kev Wiles
I’m a Fractional SEO Specialist with 12+ years’ experience working with eCommerce brands. I focus on making SEO simple, clear, and effective helping businesses cut through the noise and unlock real growth.
How DTC Brands Can Win in the Age of AI Search
For years, “ranking #1 on Google” was the ultimate goal. A lot has changed since 2024, and I believe we’ll continue to see vast changes in both the SERP landscape and how users search. 2025 saw a vast increase in AI overviews and ChatGPT, so the real question now is “How does a brand get chosen wherever the user is searching?”
As someone who’s spent more than a decade helping DTC and eCommerce brands like Halfords and fast-moving Shopify+ stores grow through search, I’ve seen every algorithm shift imaginable. But this one is different.
We’re entering the era of AI-driven discovery, where visibility is defined not by blue links, but by trust, structure and authority. This doesn’t just mean I think AI will become more important. I also think the way that customers use Google, and thus Google’s role in online discovery, will continue to shift.
Why eCommerce SEO Is Changing Faster Than Ever
The decline of traditional rankings and the rise of AI Overviews
Google’s AI Overviews are swallowing the search results page (SERP) in the US, often pushing organic listings below the fold. That means even a “top 3” ranking doesn’t guarantee traffic. Instead.
This shift represents a major opportunity to evolve how we optimise.
Earning inclusion within AI Overviews by ensuring pages answer intent clearly, cite trustworthy data, and demonstrate strong topical authority.
Improving visibility in organic product grids and visual modules, which are becoming key discovery surfaces for eCommerce queries.
Reinforcing structured data and entity relationships, helping Google understand and feature brand content in richer formats.
In short, success is no longer defined by position alone it’s about being selected and surfaced across AI-driven experiences.
Zero-click searches and shrinking organic real estate
Today, more than 60 % of desktop and 75 % of mobile searches end without a click.
What this means for DTC brands and Shopify stores
SEO in 2026 isn’t going to be about volume anymore, it’s about to be about building a framework that makes your brand discoverable, credible, and chosen across AI surfaces, product grids, and social discovery platforms.
Content Depth
Go beyond posting for the sake of freshness. Focus on content depth and topic coverage, build topic clusters that cover every layer of intent guides, comparisons, FAQs, and user stories. The goal is to become the most complete resource on your subject so AI systems and Google alike trust your pages to answer.
Schema Markup
AI and search engines are increasingly using SCHEMA to understand your products. Implement more detailed Product, FAQ, and Review SCHEMA to provide clarity things like GTINs, materials, care instructions, and verified reviews.
UX Design
Your site’s design now directly influences inclusion in AI results. Prioritise fast, accessible pages with clear layouts, strong heading hierarchy, and concise copy. If users can quickly find answers, AI can too and that makes your pages more eligible for generative summaries.
Brand Equity
Brand authority lives everywhere Reddit, YouTube, TikTok, review aggregators. Ensure your brand is mentioned, reviewed, and discussed consistently across channels. These external signals are what AI models reference when deciding whose information to trust.
The New SEO Landscape
What Will Matter for E-Commerce SEO in 2026?
AI Search and Answer Engine Optimisation (AEO)
AEO is the next evolution of SEO. Instead of optimising for queries, we optimise for answers — short, structured, and scannable.
In 2026, that means “chunking” your content: breaking it into small, clearly labelled sections that mirror how users (and AI models) ask questions. Think concise H2s like “What is modular garage furniture?” or “How long does installation take?” followed by 2–3 sentence answers.
Pair this with relevant schema FAQ, HowTo, Product, and Review so AI systems can parse and attribute those snippets to your brand. The goal is to feed AI Overviews and ChatGPT-style assistants the clearest possible version of your expertise.
Quick wins:
Use one question per heading and answer it directly.
Keep paragraphs under three lines.
Add FAQ schema to any page with Q&A sections.
Include verified reviews and pricing data for product relevance.
Topical Authority Through Multi-Format Content
Topical authority isn’t new but in 2026, it’s multi-format. AI models don’t just read; they watch and listen.
To “own” a topic, cover it from multiple angles: long-form guides, comparison tables, short-form video, FAQs, and community-led content. A single pillar article isn’t enough but a connected set of assets that answer every sub-question around your niche signals depth and reliability.
For example, a Shopify+ sportswear brand targeting “knee sleeves” could build:
A “How to choose” guide for beginners.
A comparison table of materials and compression levels.
Short TikTok-style clips showing product use.
An FAQ block covering fit and care.
Quick wins:
Repurpose existing articles into video or carousel snippets.
Link every asset back to a central pillar page.
Use structured data across all formats to connect entities.
Brand Trust and E-E-A-T Are Non-Negotiable
Search and AI systems now prioritise verified experience and authenticity. If your brand’s expertise can’t be traced or validated, it won’t be surfaced.
Every DTC brand should display real authors, credentials, and customer validation. Include author bios with experience, source citations, and verified reviews. Where possible, get your brand mentioned in trusted third-party sources these citations are what LLMs (and Google’s AI Overviews) use to confirm authority.
Quick wins:
Add author schema and bylines to blogs.
Include review snippets on PDPs using
Reviewmarkup.Encourage press mentions and consistent NAP data across directories.
Highlight “as seen in” or “trusted by” logos on key landing pages.
Technical SEO Still Matters
Technical SEO remains your foundation but in 2026, it’s less about crawlability and more about data clarity.
For Shopify stores, that means ensuring structured product data, canonical logic, and site architecture are clean and consistent. A technically sound site feeds Google and AI models the right context, ensuring your brand’s information flows cleanly into AI Overviews and shopping modules.
Quick wins:
Validate your structured data monthly (use Google’s Rich Results Test).
Keep internal linking shallow — aim for <3 clicks to PDPs.
Optimise image filenames and alt text for entity reinforcement.
Audit your Shopify feed attributes (GTINs, variants, materials) quarterly.
How to Future-Proof Your eCommerce SEO Strategy
Focus on user intent, not just keywords
Every page should exist to solve a problem, not just rank for a phrase. Map queries to buying stages (awareness → consideration → purchase) and optimise content for how customers actually ask questions. Use tools like Keyword Insights cluster keywords (group related search terms by intent and topic) and understand the exact topics you need to be developing.
Integrate product, content and data layers
Your product feed, structured data and on-page content must work together, ensuring you have consistency throughout all areas.That’s how AI models connect your products to real search intent (“best modular garage setup” or “What are the best knee sleeves for someone with hyper mobility”)
Own your brand mentions across platforms and agents
AI and search models pull from Reddit, Quora, TikTok, YouTube and product review sites. This is likely to expand to more reference sites over the coming months.
Be present where conversations happen and ensure your brand is referenced consistently.
You can use tools like https://app.amplitude.com/ to understand top citations and use these sites to understand where you should be trying to get your brand exposed.
Build “human + AI” workflows
I am still a firm believer that AI tools should enhance your SEO workflow not replace it. Use them for data analysis and content outlining, but layer human insight and brand voice on top. That’s how you scale without sounding synthetic.
What winning in SEO means for DTC brands in 2026?
From traffic to trust measuring visibility beyond clicks
Instead of tracking rank #1, track share of voice in AI answers, brand mentions, and conversion from “invisible” touchpoints like voice search and chat agents.
The rise of UGC and community content
UGC is fast becoming SEO gold. Reviews, forums and social content signal authenticity to AI systems and search engines. Brands with active communities will outperform those with polished but sterile content.
Shopify Plus advantage: data and speed
Shopify continues to invest in structured data and headless architecture. If you’re on Shopify+, use its JSON-LD flexibility and fast CDNs to stay ahead.
It also looks like Shopify+ is going to continue leaning into building relationships directly with platforms like ChatGPT which will make it easier for brands to directly expand awareness on those platforms.
Final Thoughts from a Fractional SEO Director
In 2026, SEO isn’t about ranking it’s about earning trust at scale. It’s the ecosystem of signals that tells both humans and machines your brand deserves to be chosen. Google, ChatGPT, and the next wave of discovery platforms are no longer looking for optimised content; they’re looking for credible brands.
That means:
Your product feed needs to read like structured truth, not just data.
Your content needs to be authored by people with proof they know what they’re talking about.
Your brand needs to show up consistently wherever customers — or AI agents — are searching.
The future of SEO belongs to the brands that treat discoverability as infrastructure, not marketing. Those who invest in schema, clean data, topical depth, and brand reputation now will own visibility when AI systems rewrite the search experience.
If your current SEO strategy still revolves around “keywords and content calendars,” you’re building for the past. The brands who win from here will be the ones who build search ecosystems that feed both Google and generative engines with clarity, credibility, and context.
So stop asking how to rank. Start asking how to be chosen.
FAQs: eCommerce SEO in 2026
How will AI Overviews affect product and category pages?
AI Overviews will compress discovery. Instead of ten blue links, users now see one generative summary that aggregates the best product, pricing, and review data in seconds.
That means product and collection pages must be structured, scannable, and data-rich if they’re to be featured.
Include full Product Schema with attributes like brand, material, colour, size, GTIN, and care instructions.
Add FAQs, reviews, and in-stock data so Google can surface your content confidently.
Write concise, question-led copy that AI can extract (“What makes our modular garage units different?”).
Is keyword research still relevant in 2026?
Yes but it’s evolved. Keyword research isn’t about counting volume anymore; it’s about understanding intent clusters and how people ask questions conversationally.
Modern research should map:
Core topics (what your brand is known for),
Conversational variants (how users phrase questions in AI chat or voice search),
Semantic entities (related concepts that AI uses to verify expertise).
So, rather than chasing “best running shorts” in isolation, you’d map the query fan-out things like “what makes a short breathable,” “best lining for 10K runs,” “difference between interval and session shorts.”
In 2026, keywords aren’t your goalposts they’re your signals of audience language.
How do I measure SEO success if clicks decline?
As AI and zero-click results expand, success must shift from traffic to visibility and influence.
Here’s what to track in 2026:
Brand Mentions in AI Overviews / LLMs – being cited inside AI summaries is the new “position one.”
Engaged Sessions & Conversion Rate – quality traffic that converts, not just visits.
Visibility Share Across Platforms – YouTube, Reddit, TikTok, and shopping feeds are part of “search” now.
Assisted Conversions – measure SEO’s impact further down the funnel in GA4/Looker Studio.
The goal: prove that organic presence drives demand, even if users don’t click through a traditional SERP.
What should I prioritise first: content depth or technical fixes?
If your site isn’t technically sound, nothing else matters but once the basics are in place, content depth is what moves the needle.
Here’s the order I use for clients:
Fix the foundations – crawlability, speed, canonicalisation, structured data, and internal linking.
Then invest in depth – create content clusters that demonstrate topical authority (guides, FAQs, comparison pages, expert commentary).
Technical SEO makes your content discoverable.
Content depth makes it worth discovering.
In 2026, both must work in tandem but if you have to choose, fix the technical friction first, then pour your time into building authority.
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