Scale-Swing · A1 · strategy brief · working name

CITED

Become the business AI recommends — and buys from.

An outcome-priced engine that wins a brand its place in AI answers and, as agents start transacting, its share of agent-driven sales. Self-serve, content-led, no sales team.

The shift

Discovery moved three times.
We build for the third.

Era 1 · won

SEO

Rank on Google. Ahrefs/Semrush = multi-billion.

Era 2 · forming

AEO

Be recommended in ChatGPT/Gemini/Perplexity answers.

Era 3 · starting now

Agent commerce

AI agents discover, compare, and buy for people.

$3–5T

agent-driven commerce by 2030 (McKinsey)

37%

of consumers now start searches with AI

Live

ChatGPT Instant Checkout, expanding to 1M+ Shopify merchants

The problem

Ask AI for the best in your category.
It names your competitor.

Brands are invisible in the channel that's replacing search — and unready for the agents about to start buying. They can't see it, can't fix it, and are losing the next channel before it's even built.

The promise

Not a dashboard. An outcome.

We don't sell you a tool to watch your AI visibility. We make AI recommend you — and get you agent-ready so the agents buy you. We prove it on your own brand first, with zero setup on your side, then you pay to keep climbing.

The wedge that converts instantly: "AI recommends your competitor. We already moved you from #7 to #4 last month — want #1?" Proof before the sale. Zero integration to start.

Why now

The lane is open — and closing.

Incumbents went up. Profound ($1B) is enterprise, sales-led. The self-serve + outcome tier below them is unclaimed by a serious player.
Agent commerce just went live. Instant Checkout makes "AI recommends you" convert into "AI buys you" — vanity metric → revenue.
Measurement is commoditizing to free (Semrush/Ahrefs bundle it). The money isn't in the mirror; it's in the outcome + the transaction.

The method — legit, not tricks

The "write great content" of the AI era.

Grey-hat mention-seeding gets filtered and killed (like SEO link farms). The durable method is three legit levers:

durable core · fully controllable

Agent-readiness

Make the brand the clean, machine-legible, trustworthy source of truth agents need to choose and transact you. You control it entirely — and it's decisive as agents become buyers.

your engine's home turf

Valuable owned content

Authoritative, data-rich content AI wants to cite. Create genuine value at scale — not noise. This is the content engine's job.

high-impact · earned

Real digital PR

Get genuinely into the trusted sources AI cites. Legit, high-impact, less controllable — use it, don't build the core on it.

The reframe that removes all reputational risk: we don't manipulate what AI says — we make you the brand AI can trust and transact.

Business model

Land frictionless. Expand into the take-rate.

Land · low friction

Proof + subscription

We move your external AI presence — no setup. Monthly subscription to defend & grow it. The position decays if undefended → recurring.

→

Expand · the ceiling

Rev-share on agent GMV

Integrate the feed; take a % of agent-attributed sales. A take-rate on the $3–5T agent-commerce flow. Aligned: we win only when you win.

Sellable to indie/DTC self-serve and to large brands (start with a no-integration proof phase at a lower price).

Go-to-market — no sales team

The product acquires for itself.

Proof-first reports at scale. The content engine generates a personalized "here's your AI position + the lift we produced" report per brand → automated inbound & outbound.
Zero-integration land. No pixels, no setup (the affiliate-friction killer) → instant time-to-value, self-serve conversion.
It ranks in AI answers itself — living proof of the service. The engine is both the product and the distribution.

The moat

It compounds every month.

the core moat

Closed-loop dataset

Every intervention → recommendation-lift → agent purchase teaches us what actually wins, per category, per engine. Can't be shortcut — only run at volume, starting now.

winner-take-most

Position in the flow

Become the layer merchants use to be agent-visible + transactable → you sit between merchants and the agents.

owned real estate

Cited sources

The content properties AI cites in your categories — which you control.

Why us

The one business where the edge is the product.

Andre's AI content/demand engine is simultaneously the product (it produces the content + agent-signals that win recommendation) and the acquisition channel (it ranks in AI answers, and mass-generates the proof reports). No other idea on the board has that double-fit — and the faceless-content operation is already running.

Validation — before a line of product code

Three gates. ~$500. ~2 weeks.

Can we legitimately move it? Dogfood + a few public brands: intervene, measure recommendation lift vs matched controls at 30/60 days.
Does it decay? Stop, and watch if the position slides back. Decay = recurring revenue. No decay = one-time product.
Can we attribute an agent purchase? Instrument one agent-commerce path end-to-end. Attribution = the rev-share model is real.

The bonus: the same test produces the first case studies ("we moved brand X from #7 to #4") — validation and sales asset are one spend.
The honest risk: which legit lever reliably moves recommendation is still unproven — that's exactly what Gate 1 settles, cheaply, before commitment.