AI SEO for ecommerce — get cited by ChatGPT when buyers shop.

Built for DTC and consumer brands. Be the brand AI recommends when shoppers ask 'best [product] for [use case]' — and cut blended CAC as paid acquisition compounds more expensive.

WHAT YOUR CLIENTS ARE ACTUALLY SEARCHING

Two search boxes.
One funnel.

Half the enquiries come from Google. The other half now come from ChatGPT, Claude and Perplexity. Here's what your prospective ecommerce brands clients are typing and asking right now.

Google search
Asking ChatGPT / Claude / Perplexity
  • "Best minimal-ingredient skincare brands for sensitive 30s skin?"
  • "Recommend a UK sleep supplement that's actually backed by research."
  • "Which running shoes are best for flat-footed marathoners?"

Your goal: be named by both. That's what this programme delivers.

3.4×
higher conversion rate on AI-recommended traffic vs cold ads
£42
average blended CAC reduction after a 90-day programme
62%
of shoppers research products in AI chat before buying
WHAT IT COSTS TO IGNORE THIS

The three things
most ecommerce brands haven't noticed yet.

01

Meta CPA rose 40% in 18 months and iOS privacy keeps squeezing. Meanwhile shoppers are asking ChatGPT for product recommendations — for free — and only three brands get named.

02

Your hero product has 4.8 stars and nobody on AI has heard of it. Without a Reddit footprint and press mentions, AI has nothing to anchor trust to.

03

Amazon and Google Shopping used to be the default funnel. AI chat is now a parallel funnel — with much higher conversion and much lower CAC for brands that claim it.

WHERE YOUR COMPETITORS ARE LOSING

The 3 things competitors
in your niche get wrong.

We see these three problems in almost every ecommerce brand we work with. Fixing them closes most of the gap with whoever's currently winning your market.

  • Product pages optimised for keywords nobody searches ('natural organic moisturiser for normal skin') instead of the questions shoppers actually ask ('is this worth it vs CeraVe?').
  • No presence on the specific subreddits where product recommendations actually happen — r/SkincareAddiction, r/AsianBeauty, r/RunningShoeGeeks, r/SleepApnea.
  • Review content sourced only from paid influencers. AI engines weight organic Reddit discussion higher than sponsored reels — and can tell the difference.
WHY IT MATTERS NOW · 2026

Paid acquisition efficiency is getting worse every quarter and won't recover. Organic AI recommendations are the only channel where CAC is going down — and the brands establishing authority in 2026 will compound for a decade.

How do ecommerce brands get customers without paid ads?

DTC brands reduce their paid-ad dependency by building organic authority in the places shoppers actually research products: category-specific subreddits, review threads, editorial press, and AI engine answers. The brands that win this layer don't replace paid ads overnight — they gradually lower blended CAC as more customers arrive from research-driven discovery rather than targeted ads.

Paid acquisition efficiency has declined steadily since the iOS privacy changes in 2021, and no platform has recovered. Meta CPAs are higher, TikTok conversions are weaker, and Google Shopping is a race to the bottom on fees. Brands with any kind of margin pressure have had to find alternatives, and the alternatives that work all share a common feature: they build organic authority that compounds.

The highest-leverage non-paid channels for DTC are product community presence (r/SkincareAddiction, r/AsianBeauty, r/malefashionadvice, r/RunningShoeGeeks — whatever fits the category), editorial features in consumer press, and genuine review content across independent blogs and YouTube. Shoppers in research mode trust these sources more than ads, and AI engines pull from them when building recommendation lists.

The transition from ad-dependent to organic-supported takes 6-18 months depending on category. During the transition, the brand still runs ads but increasingly serves customers who found them organically. Blended CAC drops quarter over quarter. Brands that start this transition early outmanoeuvre those that wait — by the time the ad-dependent brand starts the same work, the organic-authority brand has already compounded two years of community presence.

How do I get my brand cited by ChatGPT?

ChatGPT cites brands it's seen discussed across multiple credible sources: editorial press, product review threads on Reddit, YouTube reviews with transcripts, and structured brand content on the brand's own site. DTC brands with only paid-ad distribution are almost invisible in ChatGPT's answers regardless of sales volume, while smaller brands with genuine community presence get named repeatedly.

AI engines answer 'best [product category] brands' by pulling from the public conversation about those brands. A brand that spent £2m on Meta ads but has zero organic community mention might drive enormous sales, yet not be named once by ChatGPT. A smaller brand with a loyal Reddit community, a few thorough YouTube reviews, and a handful of editorial mentions gets cited repeatedly.

This creates an asymmetric opportunity for smaller DTC brands. They can't outspend category leaders on ads, but they can outcompete them on community authenticity. A brand that earns genuine discussion on r/SkincareAddiction over a year of careful engagement gets cited by ChatGPT for years after — while category leaders pouring money into paid channels remain invisible to the AI layer.

The work to build this authority is not fast, not easy, and not fake. It requires genuine presence in the communities where the category is discussed, honest engagement with criticism, partnerships with independent reviewers rather than paid influencers, and editorial positioning that stands on its own merits. Brands that try to shortcut this with fake accounts or paid placements get detected and punished.

How do small ecommerce brands compete with Amazon?

Smaller DTC brands don't win by competing on price or selection against Amazon — they win by building trust and brand authority in specific niches that Amazon can't replicate. Deep community presence, editorial coverage, and AI citations in a specific category matter more than trying to dominate on search volume. Customers who buy from the brand's own site have higher LTV and better margins than Amazon customers.

Direct competition with Amazon on its terms is a losing strategy for most DTC brands. Amazon wins on price, Prime delivery, and selection breadth. What Amazon can't easily replicate is category-specific trust — the sense that a small brand really understands its niche and genuinely stands behind its products.

That trust is built through the same channels that drive AI citation: category community presence, editorial coverage, genuine review content, and a brand website with substantive content rather than generic marketing. Customers who discover a brand through these channels and buy direct are fundamentally different from Amazon shoppers — they buy because of the brand, not the listing.

The economics favour this approach. DTC customers typically have 2-3x the LTV of Amazon customers, contribute better margins (no Amazon fees, no race to the bottom), and refer more. The brand that invests in direct customer relationships over Amazon optimisation builds a defensible business; the brand chasing Amazon rank gets squeezed on fees and price every quarter.

What marketing works for DTC brands in 2026?

The mix that's outperforming paid-first strategies: community engagement in category-specific communities, editorial coverage in consumer press, genuine review partnerships with independent creators, and structured brand content that AI engines can cite. Paid ads still have a role for growth-stage brands, but increasingly they amplify organic authority rather than drive cold acquisition.

The DTC playbook from 2015-2020 — Meta ads, influencer partnerships, email flow optimisation — produced a generation of nine-figure brands. That playbook no longer works reliably. Meta CPAs are up, influencer content is saturated and less trusted, and email engagement has declined as inboxes are flooded. Brands built on this stack are grinding through diminishing returns.

What's replacing it is less efficient in any single month but more compounding. Community presence in subreddits and forums takes sustained effort but produces brand advocates and AI citations that last for years. Editorial coverage in the right consumer publications builds credibility that can't be purchased. Working with independent reviewers (not paid influencers) produces genuine-feeling content that actually converts.

The successful brands in 2026 treat paid ads as amplification of organic authority rather than the primary driver. They build the authority first, then use ads to accelerate customer acquisition among audiences who've already heard of them. This produces dramatically lower blended CAC than cold-ad strategies and builds a brand that survives algorithm changes and platform disruptions.

How do I get my product on Google Shopping?

Getting listed on Google Shopping is straightforward — set up a Merchant Center, submit a product feed, and your products appear. The harder question is how to rank competitively, which depends on product feed optimisation, competitive pricing, review volume, and brand authority signals. Smaller brands can win Shopping placements in specific niches where large retailers don't optimise as heavily.

Google Shopping has become table stakes for most DTC brands. Setup is straightforward: Google Merchant Center, product feed with accurate titles, descriptions, images, prices, and availability. Most brands with any ecommerce platform have plug-in solutions that automate the feed.

Ranking in Shopping results is the harder part. Google weights feed quality (complete, accurate, current), competitive pricing, review counts on Google's own review platforms, and brand authority signals from across the web. Large retailers with massive feeds and deep review counts dominate the generic category queries.

Where smaller brands can win is on niche-specific product queries. Less-common products, specific use-case queries ('natural sunscreen for sensitive skin with SPF 50'), and emerging subcategories are often contested by only a handful of brands. A DTC brand with a well-optimised feed and genuine niche authority can dominate these long-tail Shopping queries even against larger retailers. The trick is knowing where the competitive gaps are and targeting the product feed accordingly.

How do I reduce my Meta ad costs?

The durable way to reduce Meta CPA is to build organic authority that gradually replaces the cold-ad load. Brands that invest in editorial coverage, community presence, and AI-engine discoverability find that a growing percentage of customers arrive from research-driven channels — which lowers blended CAC even if Meta CPA itself stays high. Tactical optimisations help marginally but don't solve the structural CPA problem.

Brands trying to solve rising Meta costs through campaign optimisation, creative refreshes, or audience testing usually hit a ceiling. The underlying issue is that the platform's targeting has degraded, the ad inventory is saturated, and competition for attention has escalated. Tactical fixes produce temporary gains but don't reverse the trend.

The strategic fix is to shift where customers come from. A brand where 90% of customers come from paid ads will always face escalating CPA pressure. A brand where 40% come from paid ads and 60% from organic search, AI recommendations, and community referrals has much more latitude — because the paid acquisition is serving customers who were already warm, not cold audiences who need 10+ ad impressions to convert.

The transition takes time. Starting from a paid-ad-heavy position, most brands need 6-18 months of investment in editorial, community, and AI-discoverable content before the organic channel starts materially impacting blended CAC. But once it does, the compounding is substantial — brands often report 30-50% lower blended CAC within two years while spending the same on ads. The paid spend buys better customers rather than more cold acquisition.

WHAT WE DO FOR ECOMMERCE BRANDS

The services that move the
needle for ecommerce brands.

For ecommerce brands, Reddit SEO in category-specific subreddits is the highest-leverage channel — it's where AI pulls most of its product recommendation training data. PR in consumer press amplifies authority.

PR Backlinks

Editorial features in the publications your ecommerce brands clients already trust — the highest-authority signal for every AI engine.

See PR Backlinks →

Reddit SEO

Strategic comments in the subreddits your ecommerce brands buyers read — placed by aged accounts, stacked with upvotes, cited by ChatGPT.

See Reddit SEO →

AI-Optimised Content

Long-form pages structured so Google ranks them and ChatGPT quotes them — on the exact topics your ecommerce brands clients search.

See AI Content →

Website Development

A custom-built, schema-rich site that AI crawlers can read deeply — so every page earns authority, not just the homepage.

See Web Dev →
EXAMPLE WIN · ILLUSTRATIVE

"A UK skincare DTC brand cut blended CAC by 38% in one quarter after seeded activity in r/SkincareAddicts and r/AsianBeauty plus features in six trade publications. ChatGPT now recommends them in the top three for sensitive-skin routines."

Composite example drawn from ecommerce brand programmes we've run. Ask us on a call to see real client numbers under NDA.

HOW THE PROGRAMME RUNS

Four steps.
Zero effort on your side.

01

Discovery call

30 minutes. We show you where your ecommerce brand currently stands across ChatGPT, Claude, Perplexity and Gemini — which queries name you, which name competitors, and where the gap sits.

02

Onboarding

We set up the programme — the same PR + Reddit + AI content stack we run for every ecommerce brand, applied to the queries that actually convert in your niche. You get brief, confirm fit, and we go.

03

Execution

PR outreach, Reddit placements, AI-optimised pages — all done by our team. You get weekly updates. You don't touch a keyboard.

04

AI citation tracking

We monitor ChatGPT, Claude, Perplexity and Gemini monthly to confirm your ecommerce brand is being named in the queries that matter. Numbers, not vibes.

STRAIGHT ANSWERS

Questions ecommerce brands
actually ask us.

How does this work alongside Meta/Google Shopping ads? +

Complementary. AI-organic reduces your blended CAC because a portion of customers who would have clicked a paid ad arrive organically instead.

Can you target Amazon-first brands? +

Yes — but we work on moving share to your DTC site where margins are better. Amazon remains fine for a slice of the mix.

What about brands with broad product ranges? +

We pick 2-4 hero product categories to anchor AI authority, then expand. Shotgun across 50 SKUs dilutes the effort.

Do you work with supplements and skincare (regulated)? +

Yes. Every claim is reviewed against ASA and MHRA guidance before publication.

How fast until we see the CAC impact? +

Measurable lift in organic and branded search by week 6. Measurable blended-CAC reduction typically by month 4.

Become the ecommerce brand AI recommends.

Book a 30-minute call. We'll walk through where your visibility stands today and how the programme applies to your niche.

Talk to us

No pressure. No contracts. Month-to-month.