Solutions · By industry · High-intent sub-wedge

Get named correctly —
without crossing the claim line.

Peptide and hormone brands face the most research-heavy buyers and the strictest claim rules. We make yours legible to AI search, accurately and within the line — and we tell you in writing what the system will never assert.

Category
Peptide · hormone · GLP-1
Tuned for
High intent · strict claims
Compliance
Human-gated, stated
Start
$1,500 audit
/01 · The wedge inside the wedge

The highest-intent buyers, the tightest line to walk.

Peptide and hormone buyers research harder than almost any consumer — and they research with an assistant first. Combine that with a claim environment where a wrong sentence is a real liability, and you get a category where machine-legibility isn't optional and accuracy isn't negotiable.

When a buyer asks an assistant about a peptide protocol or a hormone-support product, the answer is dense, specific, and often built from whatever the engine could find — a subreddit, a reseller, a competitor's comparison page. If your brand isn't structured for the engine to read, you're described by those sources or skipped entirely.

The fix is not louder marketing — it's a structured truth with the claim boundary encoded, so the assistant answers accurately and within the line, every time.

/ Where most brands lose

Not invisibility — misdescription by a forum. The assistant has a picture of your product; it was assembled from sources you don't control. The graph replaces that with facts you do.

In this category, "accurate" is the product. A fluent guess is a liability.
The peptide & hormone wedge, in one line
/02 · What we build

The visibility system, tuned for the claim line.

The same four-part operated system as our wellness work — graph, content, compliance gate, source coverage — with the regulatory boundary built into the structure, not added at the end.

01

A graph that respects the claim line

We model your peptides, hormones, dosages, contraindications and certifications as a knowledge graph — with the regulatory boundary encoded, not bolted on. The structure carries what you can say and where it stops, so the engine answers within the line.

Ontology · contraindications · claim limits
02

Answer-shaped content on high-intent questions

Buyers in this category ask precise, high-stakes questions — "is this peptide legal," "what's the protocol," "how does it compare to X." We answer them on your owned surfaces in extractable, sourced form, so the assistant cites you instead of a forum.

AEO content · sourced · high-intent
03

A human gate on everything sensitive

Nothing claim-adjacent ships without a person signing off. We state up front, in writing, what the system will not assert about your products — the opposite of a studio promising AI handles compliance for you.

Human-in-the-loop · stated limits
04

Source coverage where AI actually reads

This category lives heavily on Reddit and a handful of trusted third-party sources — a large share of what assistants cite. We map and build genuine presence there, never fake reviews, so the answer is built from sources that favour you.

Source mapping · Reddit · no fake reviews

The technical substrate is a brand-ontology knowledge graph; the publishing arm is the operated Content Engine.

/03 · Proof

A founder-led peptide brand, made legible to AI.

Anonymised at the client's preference — the mechanism is the point, and it's the pattern we see repeatedly in this category.

01

The problem

A respected founder-led peptide brand with genuine formulation depth and a loyal base. Asked to recommend in-category, the assistants skipped it or described it from a thin reseller page — competitors with weaker products but better machine-legibility owned the answer.

02

The system we built

A brand ontology of every product, peptide, claim and dosage with contraindications and claim limits encoded; answer-shaped content for the exact high-intent questions buyers ask; and a human-gated compliance layer so nothing sensitive shipped unreviewed. Built in a focused sprint, then operated.

03

The outcome

The brand moved from absent-or-misstated to correctly described and named in the recommended set across the assistants we track — within the claim line — and that position is maintained as models update because we operate it.

We don't publish invented numbers. The audit shows your real starting position in hard figures.

/ FAQ

Questions, answered straight.

Can you even do AI visibility for a category this regulated?

Yes — and the regulation is exactly why the structured approach matters. We don't make you louder; we make you legible and correct within the claim line. The graph encodes contraindications and claim limits, and a human gates anything sensitive before it ships.

The alternative — letting assistants describe you from forum posts — is the actual risk.

What will the system refuse to say about my products?

Anything that crosses your claim line — unsupported efficacy claims, disease treatment language, dosing advice that belongs with a clinician. We define that boundary with you, in writing, before anything publishes, and the system enforces it. A vendor who won't name those limits is the one to worry about.

Why does AI visibility matter more for peptides than for, say, a snack brand?

Because the buyer is high-intent and research-heavy and the assistant is now the first stop. Someone evaluating a peptide protocol asks an AI detailed questions before they ever reach your site. If the engine can't read you accurately, it either skips you or repeats a competitor's — or a forum's — framing of your product.

Is this different from your wellness & supplement work?

It's the high-intent, high-compliance edge of it. Same operated system — graph, content, compliance gate, dashboard — tuned for a category where the claim line is tighter and the questions are more technical. The full approach lives on Wellness & Supplement DTC.

How do we start without committing to a big build?

The $1,500 AI Brand Audit shows you exactly how the assistants describe your category and your brand today, and hands you a roadmap you keep whether or not we build a thing. Lowest-risk way to see the gap in hard numbers.

/ Clearance

See how AI describes your protocol today.
Then own the answer — within the line.

The $1,500 AI Brand Audit measures how ChatGPT, Perplexity and Google AI describe your peptide or hormone brand today, and hands you a compliant roadmap to fix it.