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Strategy Briefing

How I’d approach SEO & AI visibility for a $10M+ DTC supplement brand

How I’d approach SEO & AI visibility for a $10M+ DTC supplement brand

How I’d approach SEO & AI visibility for a $10M+ DTC supplement brand

This is the system I run for growth-stage Shopify brands, laid out page by page: closing the gap between what already ranks and what should, and making sure AI platforms send customers to the brand’s own site, not a reseller.

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A real strategy call, built around your data. Not an automated report.

A real strategy call, built around your data. Not an automated report.

98.8%

of organic traffic was branded — driven by ads and influencers, not category demand.

1.2%

came from non-branded searches — the people who don’t know the brand yet.

0

AI citations pointed at the brand’s own site. The answer named the brand, then linked a reseller.

The Diagnosis

This page is built on a real audit, not a hypothetical.

This page is built on a real audit, not a hypothetical.

Everything below comes from a full audit and strategy built for a $10M+ DTC supplement brand, with the identifying details removed. If your brand grew on ads and influencers, some of these numbers will look familiar.

98.8%

98.8%

Traffic that is branded

Traffic that is branded

Branded search grew on the back of social and influencer spend. Non-brand contributed just 1.2%.

Branded search grew on the back of social and influencer spend. Non-brand contributed just 1.2%.

700+

700+

Keyword gap vs competitors

Keyword gap vs competitors

Terms where at least two competitors ranked and the brand had no visibility at all.

Terms where at least two competitors ranked and the brand had no visibility at all.

96

96

Queries landing on the homepage

Queries landing on the homepage

High-opportunity searches ranking with the homepage instead of an intent-matched page.

High-opportunity searches ranking with the homepage instead of an intent-matched page.

27K : 157

27K : 157

Pages crawled vs indexed

Pages crawled vs indexed

Google was crawling noindexed Shopify system pages instead of revenue pages.

Google was crawling noindexed Shopify system pages instead of revenue pages.

The Framework

A connected system, not five separate projects.

A connected system, not five separate projects.

Search demand, technical crawlability, content, and AI discovery all feed each other. I run them as one connected loop, not five disconnected work streams.

01

Discover & Prioritize

Map demand, visibility and content gaps against what actually drives revenue.

02

Optimize Foundations

Fix crawlability, indexation and structure so key pages can be found.

03

Improve & Expand

Rewrite and expand priority pages, then link them together with intent.

04

Prepare for AI Discovery

Structure product and brand data so AI platforms cite the brand.

05

Measure, Learn, Refine

Track what is moving revenue and feed it back into focus.

The Page-by-Page Playbook

Every page type has a job.

Every page type has a job.

This is the site rebuilt template by template: each card turns an audit finding into a fix that has a clear reason to exist.

Homepage

Stop the homepage ranking for everything

Tighten what the homepage targets and build intent-matched landing pages so clicks land where people can buy.

Collection pages

Build the collections that don’t exist yet

Core collections around real parent intent give category demand somewhere to land.

Product pages

Rewrite for how buyers actually search

Optimize PDPs around the need solved, not just the brand product name.

Content engine

Topic hubs, comparisons and product paths

Informational content passes authority to commercial pages instead of sitting in a silo.

Technical layer

Reclaim crawl budget and product eligibility

Robots, redirects, Merchant Center and deeper schema make the catalog machine-readable.

The Content Engine

Keywords mapped to how people actually decide.

Keywords mapped to how people actually decide.

Supplement buyers rarely search the brand first. They search a goal, compare options, investigate commercial choices, then choose.

Top of funnel / Discover

Goal-led questions

“how to support gut health daily”
“what to eat for more energy”

Build trust and topical authority early, then link contextually to the relevant collection.

Mid funnel / Evaluate

“Best” queries

“best greens supplement for energy”
“best kids multivitamin gummies”

Commercial investigation in plain sight, where publishers and marketplaces currently own demand.

Commercial

Money-page support

“greens supplement benefits”
“daily nutrition supplement”

Content that supports collections and PDPs directly, using intent-led copy that moves buyers toward the right product page.

Bottom of funnel / Decide

“Vs” comparisons

“greens powder vs multivitamin”
“[brand] vs [competitor]”

Intercept demand headed to competitors and give AI platforms a structured answer at the decision point.

AI Visibility

The brand was in the AI answer. The link went to a reseller.

The brand was in the AI answer. The link went to a reseller.

Discovery was happening. Selection was happening somewhere else. Fixing that is a build, not a mystery, and it runs on four work streams.

01

Define the brand as an entity

Expanded Organization schema, a proper About page, consistent details and verified profiles all referencing the main domain.

02

Cover the benefits people ask about

Content mapped to energy, gut health, daily routine and convenience — the questions behind recommendations.

03

Structure content so machines can quote it

Factual, organized pages with clean schema that AI systems can summarize and cite with confidence.

04

Make retailers reinforce the brand

Standardized product data and where-to-buy paths so retailers support availability while the brand remains the source.

The Roadmap

Sequenced so revenue arrives before the big builds finish.

Sequenced so revenue arrives before the big builds finish.

Capture the demand that already exists first, then build the structures that grow it, then the authority that defends it.

Phase 01

Capture existing demand

Resolve 404s and crawl waste; expand product schema; optimize PDPs; align retailer paths.

Phase 02

Build discoverability

Core collections, commercial landing pages, SERP-aligned FAQs and AI Overview optimization.

Phase 03

Authority & recommendation

Topic hubs, citation campaigns, creator partnerships and entity reinforcement.

Phase 04

Scale & defend

Monitor AI prompt visibility, expand winning topics and support product launches.

Why This Works

Most agencies split search into silos. Google and AI already don’t.

Most agencies split search into silos. Google and AI already don’t.

Technical SEO, content, organic Shopping and AI visibility are usually run by different teams. I run them as one system, because that’s how the platforms evaluate a brand.

Fixing one in isolation just moves the bottleneck. A product page can be well written and still lose visibility because the schema is broken, or because the collection it should belong to doesn’t exist yet.

This is the same connected approach I bring to growth-stage Shopify brands, adapted to what your data actually shows rather than a generic checklist.

Let’s Talk About Your Brand

Want this playbook built around your actual data?

Want this playbook built around your actual data?

Send a few details and I’ll come back with what I’d prioritize first, based on what I can see in your search and AI visibility today.

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Kev Wiles - Shopify SEO Consultant © 2026- Stratford upon Avon, Warwickshire, UK

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Kev Wiles - Shopify SEO Consultant © 2026- Stratford upon Avon, Warwickshire, UK

Kevin Wiles LinkedIn
Kevin Wiles YouTube
Kev Wiles Twitter

Kev Wiles - Shopify SEO Consultant © 2026- Stratford upon Avon, Warwickshire, UK

Kevin Wiles LinkedIn
Kevin Wiles YouTube
Kev Wiles Twitter