Seven D2C categories where AI-search dominates the research phase.
Representative categories we work in. Your brand audit maps 40–80 comparison and recommendation queries — the ones buyers actually run when an AI assistant hands them a shortlist.
Four commitments — because brand SEO is a different game than clinic SEO.
This is not local SEO — it's a different game
Clinic SEO is "[service] near me" in one metro. Brand SEO is being the product ChatGPT names when a buyer asks "what's the best X for Y." Different queries, different content shape, different competitive set. Most agencies try to run the local playbook on a D2C brand and get nothing; we run the D2C-recommendation playbook instead.
Product pages AI actually cites
AI assistants recommend products they can verify — clear positioning, honest specifics, third-party references. We restructure your product pages so they read as trustworthy to both shoppers and the LLMs crawling them. Content that answers the actual comparison query, not the usual D2C hero-and-bullets template.
Third-party placement as part of the stack
AI search weights sources by authority. We coordinate placement on independent review sites, category roundups, and credentialed podcasts — so the citations LLMs use when ranking your category include you. Paid reviews don't work; real editorial placements do.
Attribution wired to revenue
Organic, AI-referred, and branded traffic get attributed separately inside your Shopify / commerce stack from day one. You see which pages actually drive paid carts — so the next content investment is informed, not a hunch.
D2C brands going from zero AI mentions to the recommendation list.
Alpine Longevity, Austin
Ranked #1 for "rapamycin doctor Austin" in 42 days. Now cited in Google's AI Overview for the query.
Meridian Wellness, Denver
Captured 17 of 20 tracked metro queries for peptide therapy and NAD+ IV within one quarter.
Horizon Health
Organic clicks from evidence-based content surpassed paid acquisition by month five.