Arrow AI answers send you demand
Entity structure, answer-ready pages, and citation tracking make your brand the recommendation when buyers ask AI.
$1,500 setup + $299/mo · 3–5 weeksThe flagship — Operating Layer
Found. Handled. Fed.
GEO makes you the answer. AI Systems handle the demand it creates. AI Studio keeps the machine fed with fresh content. Built together, they compound.
The loop
Each pillar feeds the next
The demand gets processed
Intake qualified, answers drafted, CRM updated, edge cases routed to humans — the new volume becomes handled work, not chaos.
from $2,500 + $299–599/mo · 2–6 weeksFresh context keeps you cited
Articles, cases, and assets produced on a system — the public proof that keeps engines citing you and buyers converting.
$1,500 setup + $499/mo · 2–4 weeksOne scoped plan, not three invoices
Combined engagements are bundled in your audit proposal — one fixed scope, one timeline, one monthly report covering visibility, operations, and output. The audit is free; you see the full plan before committing to anything.
Why it compounds
Visibility without execution creates chaos. Execution without visibility starves. Content without either is noise. The layer only works as a loop.
One entityThe same structured identity powers citations and content.
One data loopWhat buyers ask AI feeds what the studio produces next.
One reportCitations, workflow usage, and output measured together, monthly.
One partnerStrategy, build, and optimization from the same team.
FAQ
The Operating Layer, answered
What is the Arrow Operating Layer?
It is Arrow's flagship engagement: GEO visibility, custom AI systems, and AI Studio content production designed and built as one connected system — the demand AI answers create is handled by AI workflows and fed by fresh content, measured monthly.
How is it priced?
Each pillar has public pricing (GEO $1,500 + $299/mo; AI Systems from $2,500 + $299–599/mo; AI Studio $1,500 + $499/mo). Combined engagements are scoped and bundled in the free audit proposal, so you see one fixed plan before committing.
Do I have to start with all three?
No. Most clients start with one pillar — usually GEO — and extend to the full layer once the first system is producing results. The architecture is designed so each addition plugs into what exists.
Why one layer instead of three separate tools?
Because the pillars feed each other: GEO brings demand, AI Systems turn it into handled work, AI Studio keeps the public context fresh — and one shared strategy, entity, and measurement loop makes each pillar stronger than it would be alone.
Start where it hurts
Audit first. Layer when you're ready.
The free audit shows which pillar moves your numbers first — and how the full loop would fit your company.
Discover → Design → Build → Launch → Optimize. No commitment before the plan.