Your CAC is up.Your buyers stopped scrolling.They started asking AI what to buy.
The 28-year-old who scrolled 40 Instagram ads two years ago now types “best face wash for oily skin under $40” into ChatGPT. Three brands come back. One becomes the order.The other 37 brands in that category don’t exist to her.
Currently tracking · 6 AI models · refreshed daily
ChatGPT
Claude
Perplexity
Gemini
Grok
AI Overviews
Every prompt in your category, scored every day across all six.
a 28-year-old shopper, 4 minutes ago
best face wash for oily skin under $40?
ChatGPT recommends
- 01
CeraVe Foaming Cleanser
dermatologist-recommended, $17
- 02
Paula's Choice Pore Normalizing
pore-clearing, $23
- 03
The Ordinary Squalane Cleanser
budget pick, $10
Your brand
not in this answer · same result on every model
ChatGPT · Perplexity · Claude · Grok · Gemini AI Overviews · same buyer, five answers, zero of you
Tracking these D2C brands · 6,000+ more on the platform
What changed
Discovery movedoff the feed.Onto the prompt.
For ten years, D2C was a paid acquisition game. Meta picked the buyer. The creative did the work. You paid for attention, optimized the funnel, prayed the LTV held.
That funnel still exists. But it’s leaking from a new hole. There is no “page two” of an AI answer.
0
brands cited per shopping query · everyone else is invisible
0%
of D2C buyers under 35 research with AI before buying
Based on SpotSaaS D2C buyer research, 2024–2025.
Why this is happening to you
Six things makea D2C brand invisible.You probably have at least four.
When we audit D2C brands across skincare, supplements, footwear, and home goods, we find the same six gaps. Every time.
Each one is fixable. Most teams just haven’t scheduled the work.
Where AI actually pulls from
Illustrative breakdown based on our citation analysis · typical D2C shopping query
Authority sites (Wirecutter, Allure, NYMag)
Reddit threads & forum discussions
Independent review blogs & round-ups
Aggregator sites (Trustpilot, G2)
Your own brand site
If you’re only on your own site and Instagram, you’re competing for 8% of the surface.
01
Your PDPs read like marketing, not evidence
Product pages full of brand voice and lifestyle copy give AI nothing to cite. Models need structured ingredients, comparable specs, third-party-style benefit claims.
02
You have zero presence on authority sites
Allure, Byrdie, Wirecutter, Reddit r/SkincareAddiction, Trustpilot. These are where AI pulls from. If you're only on your own site and Instagram, you're invisible.
03
Your product schema is missing or broken
No structured Product / Review / FAQ markup means AI can't confirm what your product is, what it costs, or whether anyone bought it.
04
Your reviews live only on your own site
5,000 reviews on Shopify don't count if there are 12 on Google Shopping and zero on Reddit. AI weighs distributed evidence over walled gardens.
05
No comparison content in your category
When AI is asked “X vs Y,” it pulls from comparison pages. If nobody — including you — has written one with your brand in it, you're not in the answer.
06
ChatGPT Shopping integration ignored
Shopify's direct ChatGPT Shopping pipeline needs specific product feed structure. Most D2C brands haven't set it up. It's the cleanest direct line into the model.
The work, for D2C
Five things.Every month.No exceptions.
A senior operator runs the work directly in your Shopify, your PIM, your CDP — shipping changes alongside your team, not from a slide deck.
PDP rewrites engineered for citation
01 / 05We rewrite your product pages with the structure AI looks for: ingredient transparency, comparable specs, use-case benefit claims, FAQs that mirror how buyers actually ask. Your brand voice stays. The bones change.
Third-party citation outreach
02 / 05We get your products into Wirecutter-style round-ups, Reddit category threads, niche review blogs, and aggregator lists in your space. Pure relationship + pitch craft.
Schema.org structured data audit + fix
03 / 05Full Product, Review, Offer, AggregateRating, and FAQ schema on every PDP. Validated. Indexed. Verified AI can actually consume it.
ChatGPT Shopping feed setup
04 / 05We configure the Shopify → ChatGPT Shopping pipeline, optimize titles + descriptions for it, and monitor whether you appear in shopping recommendations.
Daily monitoring across 6 AI models
05 / 05Tracking every model — including ChatGPT Shopping — daily, with weekly reports on which queries you appear in, which you lost, and which new ones emerged.
Honest fit check
This works for
Brands that meet these conditions
- ✓$1M–$50M revenue. Enough scale to have something at stake. Below $1M, focus on paid first.
- ✓Considered purchase category. Skincare, supplements, home, footwear. Categories where buyers research.
- ✓You have a real product story. Differentiated formulation, sourcing, or use case. Me-too brands don’t get cited.
- ✓You can wait 90 days for compounding. Citation work doesn’t pay off in week one.
This doesn’t work for
Brands we’ll turn away
- ✗Pure impulse categories. Cheap, undifferentiated, repurchase-driven. TikTok is your channel, not AI.
- ✗Brands launched in last 6 months. Citation work needs an existing trail. Pre-launch, it’s influencer + PR.
- ✗Teams expecting AI to replace paid in 60 days. It won’t. It compounds over quarters.
- ✗Brands not ready to fix PDPs. If we can’t touch the site, we can’t move the score.
The brands recommended todaybecome the defaultsfor every shopping query.
AI shopping is still a young surface. Defaults are still soft. The brands that engineer their signals now lock in. The brands that wait spend the next decade discounting harder to compensate.
What locks in
6–18 mo
How long defaults take to crystallise.
Once a model consistently recommends a brand for a query, the pattern self-reinforces. Newer entrants hit a citation floor that gets harder to clear.
What locks in
3 / query
How many brands the answer surfaces.
AI shopping responses cite roughly three brands per query. Position four does not get a smaller share of the click. Position four does not exist.
What locks in
1 surface
Why there is no page two.
Search had ten blue links. AI has one answer. The buyer reads it, makes the decision, and moves on. There is no scroll, no second chance.
What 18 months of waiting actually costs
01
Month 1–3
Citations soft, prompts open
02
Month 4–9
Defaults start hardening
03
Month 10–18
Top three lock in
The audit · free, no commitment
See which shopping queriesyou’re losing.Free. 5 minutes. No credit card.
Drop your domain. We run the shopping queries buyers in your category are asking ChatGPT today and email you a snapshot. No call. No credit card. Just the data.