For e-commerce & DTC brands
Get found when shoppers search. Get cited when they ask ChatGPT.
E-commerce is where AI search is hitting fastest. Buyers are asking ChatGPT and Perplexity for product recommendations before they click an ad. If your brand isn't in the answer, you're paying more on ads to compensate. We fix the cause.
Why this is different for e-commerce brands
The honest read of where you stand.
01
Product-level AI search is real
When someone asks ChatGPT 'what's the best [category] for [use case]', the answer names 2–4 brands. We work to make sure yours is one of them — through product schema, review markup, structured comparison content, and citable product pages.
02
PDPs aren't enough anymore
Your product detail pages rank for exact-match queries. But AI engines pull from category-level answers — comparison content, gift-guide-style pieces, 'best X for Y' listings. Most brands have zero of that on their own site.
03
Review signals matter to LLMs the way they matter to shoppers
LLMs weight review volume + sentiment heavily when forming brand answers. We audit your review coverage across the properties AI engines actually read (not just your site).
What actually happens in AI search
A real query, a real answer.
Query
"best organic baby clothing brand for sensitive skin"
Ask any LLM this and you'll get 3–5 brands named with one or two quoted justifications each. The brands named aren't always the biggest or the best — they're the ones with the cleanest category content, product schema, and review footprint. We make sure your brand is in that set for your category's top 20 queries.
Deliverables
What you actually get.
Every engagement ships these into production inside your site. Not a strategy deck — the actual code, content, and schema that moves rankings and citations.
Product + Offer schema site-wide
Product, Offer, AggregateRating, Review, BreadcrumbList — the schema types AI engines pull for e-commerce answers.
Technical SEO audit + fixes
Core Web Vitals, crawlability, indexability, sitemap, canonicalization, internal linking — tuned for e-commerce brands.
Schema.org structured data
The schema types that matter for e-commerce brands, implemented site-wide — Organization, LocalBusiness, Service, FAQ, HowTo, and industry-specific types.
Category + comparison content
"Best [category] for [use case]" pieces structured so LLMs quote you — with clear criteria, comparison tables, and explicit recommendation phrasing.
Content gap analysis
Keyword research for e-commerce brands buyers — the actual queries people run with intent, mapped to pillar pages + supporting posts + glossary entries.
Pillar + cluster content
One flagship page per quarter plus 5 to 10 supporting pieces. We write them or coach your team.
AI citation tracking
Monthly report on where you're being cited when buyers ask ChatGPT, Claude, Perplexity, and Google AI Overviews about e-commerce brands. Competitor benchmarks included.
Rank tracking + GSC
Google Search Console wired into your dashboard with weekly movement on the keywords that matter.
Monthly narrative report
Pages published, keywords moved, citations gained, traffic shifts — in plain English, not a screenshot dump.
What to expect
Outcomes we've seen across e-commerce brands engagements.
Questions
Before you even have to ask.
We're on Shopify / WooCommerce / custom. Does it matter?+
No. We've shipped this on Shopify, WooCommerce, Magento, BigCommerce, Webflow, and custom stacks. Product schema is the universal requirement; the way we implement it depends on your stack.
We do $500K/mo revenue — is this worth it?+
Probably. The ROI math kicks in when your paid-acquisition CAC is climbing and your organic discovery has stalled. If you're spending $30K/mo on Meta and getting diminishing returns, diverting $5K/mo into SEO/AEO/GEO usually pays back inside two quarters.
Can you handle the content production too, or just strategy?+
Either. Most DTC clients start with us writing 2–3 pillar pieces per quarter (category buyers' guides, comparison content) and their team handling ongoing blog posts.
How long until we see results?+
AI citations can start showing up inside 30 days for low-competition queries. Traditional Google rankings for competitive keywords are a 90-to-180-day game. We report weekly on leading indicators (pages indexed, keywords tracked, citation mentions) so you can see motion long before the revenue number moves.
Do you write the content or guide it?+
Either way. If you have a content team, we build the brief, the keyword map, and the review criteria and let them write. If you don't, we write. Most clients start with us writing the pillar pages and their team writing the supporting posts.
What about compliance and the things our legal team cares about?+
Every deliverable runs through your internal review before it ships. For regulated industries (medical, financial, legal), we build the review loop into the workflow and keep a documented trail. We've done this under HIPAA, SOC 2, and FINRA environments.
More than search
See how our full stack applies to e-commerce brands.
SEO/AEO/GEO is one of five services. The same team ships AI workflow automation, client experience AI, vendor intelligence, and AI strategy — all tuned for e-commerce brands. The hub page shows what each service looks like in your vertical.
SEO · AEO · GEO for other industries
Same service. Tuned per vertical.
Your next move
Run the audit. See exactly where e-commerce brands is getting cited — and where you'd fit.
A 2-page report in your inbox within 48 hours. No sales call required. If the opportunity is real, we'll book a scoping call. If it isn't, you'll know that too.