What is an AI-native marketing engine?

An AI-native marketing engine is owned marketing infrastructure that produces content in a company's voice and improves itself over time. RevUp builds it AI-first across five stages, from founder intake to a self-optimizing loop. One engine runs the work of a full marketing team, and the founder owns it and operates it independently.

What is a builder studio, and how is RevUp different from a marketing agency?

A builder studio designs and builds systems clients own and operate independently. A marketing agency produces ongoing deliverables you depend on them to keep making. RevUp builds an AI-native marketing engine the founder owns, and it keeps running after the engagement ends. Every engine runs on sophisticated, continuously updated intelligence, the Founder Intelligence Layer, rather than static brand guidelines and stale research.

How does RevUp build an AI-native marketing engine?

RevUp builds the engine as a five-stage pipeline. 1) Founder Context Protocol captures the founder's voice and positioning into the Founder Intelligence Layer. 2) Core Identity compiles brand, ICP profiles, positioning, and a machine-readable voice specification, grounded in competitor and market research. 3) Architecture stands up an agentic marketing organization with MCP integrations. 4) Skills & Loops run RevUp's pre-built skill library in scheduled loops. 5) Optimization & Feedback instruments the engine and writes telemetry back to the layer so it improves over time.

What is the Founder Context Protocol?

The Founder Context Protocol is RevUp's proprietary founder intake: a facilitated session that gives founders room to think deeply about the company and define the framework that focuses the entire system on brand voice and revenue. It captures origin, vocabulary, positioning, and decision logic into a versioned context file that seeds the Founder Intelligence Layer.

What is the Founder Intelligence Layer?

The Founder Intelligence Layer is the source of truth built into every RevUp engine. It is seeded by the Founder Context Protocol, populated with research, and continuously updated by a monthly monitoring layer and RevUp's field intelligence. Every agent reads from it at generation time, so output stays on-voice and current.

Does the founder own the engine?

Yes. The founder owns the engine outright and operates it independently. It runs on RevUp's pre-built skill library, which RevUp maintains on a quarterly cycle, and it remains fully portable.

Does the strategy and messaging require RevUp's engine?

The strategy and messaging architecture are engine agnostic. Experienced insurance marketing leadership designs them with the founder, aligned to the company's key stakeholders, and they run best on the engine RevUp builds. They can also be structured for ingestion by an AI agent or engine your team has already built, so the thinking transfers wherever your stack goes.

What industries does RevUp serve?

RevUp Studio specializes in InsurTech: MGAs, MGUs, carriers, and InsurTech SaaS companies. RevUp is fluent in insurance terminology including binding authority, E&S markets, surplus lines, program design, CAT exposure, loss ratios, and reinsurance, so clients skip the education phase.

Who is Marissa Buckley?

Marissa Buckley is the founder of RevUp Studio, a marketing technologist with a computer science background and two decades inside insurance carriers, MGAs, and startups. She is recognized as Model Insurer of the Year (Celent), Top 10 Women in Insurance Leadership, and Top 25 Innovator & Industry Influencer, and shipped the first mobile storm tracker app, first homeowners insurance mobile app, first social media disaster response platform using IBM Watson Analytics, and first FNOL AI chatbots in insurance.

What results has RevUp achieved for InsurTech clients?

RevUp took one InsurTech client to the #1 position among 192 InsurTech search competitors, with roughly 36% AI share of voice across tracked queries. For another, a LinkedIn campaign delivered 134 qualified downloads in four weeks at a 9.94% click-through rate (25x the industry average). RevUp has also supported two companies from scale to exit.

Services

Strategy, systems, and the AI infrastructure to run it all.

RevUp builds marketing infrastructure with InsurTech founders. Four service areas: each stands alone, and each strengthens the others. Every engagement is scoped to the company, cancels on 30 days’ written notice, and leaves you owning everything we build.

Every price lives on one page →

AI Engines Brand & GTM Content Engine AEO

Where to Start

Pick your way in. Match it to your commitment.

Figures for every engagement are on the pricing page.

01AEO Accelerator

When your buyer asks ChatGPT, Gemini, Claude, or Perplexity for a recommendation, your company should be the answer. Six weeks in a cohort of eight, and you leave with a fully implemented AEO system: llms.txt deployed, schema live, pillar pages rewritten, and a 90-day maintenance plan.

Apply for the next cohort →

02Strategic Advisory

Direct access to two decades of insurance marketing leadership. We pressure-test your positioning, messaging, and go-to-market thinking in working sessions, and you decide whether an engine build follows. Cancel with 30 days’ notice.

Start a conversation →

03Engine Build

The full five-stage build, from founder intake to a self-optimizing loop. The engine produces finished work in your voice across every channel, runs in your accounts, and belongs to you outright.

Book a fit call →

Flagship

AI Brand & Content Engines

We build custom AI-native marketing infrastructure with Claude Code, calibrated to your voice, your market, and your workflows. A real system that produces, distributes, and scales content the way a 10-person team would, at a fraction of the cost.

What we build

Custom agent architectures designed around your specific GTM motion

Brand voice calibration that sounds like you on your best day

Content-to-content pipelines: one input (a podcast, a talk, a doc) becomes LinkedIn posts, newsletters, Substack articles, YouTube descriptions

Modular skill systems that compound over time as your content library grows

MCP strategy: which slice of your product lives inside AI agents and how the listing earns its place (see the guide)

How it works

Discovery

We audit your current content, voice, workflows, and GTM motion to understand what the engine needs to do.

Architecture

We design a modular system of chainable skills: each one handles a specific task and feeds into the next.

Build & calibrate

We build the engine in Claude Code, calibrate it against your actual brand voice, and test it against real outputs.

Handoff & training

You own the engine. We train your team to run it, extend it, and maintain it. We stay on retainer if you want us to.

Custom BuildOptional Retainer

Every build starts with the Engine Blueprint, a two-week diagnostic covering the Founder Context Protocol, our facilitated founder interview, and the Core Identity compile. Whatever you decide next, you keep the strategy, the voice specification, and the research. Figures and the Blueprint fee credit are on the pricing page.

Book a fit call →

What's different: Every system we build for clients, we run internally first. Our brand strategy, content development and distribution run on the same foundational architecture we build for you. This is how we work, every day.

Brand & GTM Strategy

The strategic foundation everything else runs on. Where Strategic Advisory puts senior judgment in the room while your team builds, this is the design work itself: we produce the positioning, the messaging architecture, and the go-to-market plans and campaigns built from them, so you become the obvious choice in your category.

Market positioning & competitive differentiation

Messaging architecture & brand narrative

Founder brand development

Go-to-market strategy & launch execution

Monthly RetainerProject-Based

Start a conversation →See pricing →

Content Engine

Thought leadership shipped every week. Where Brand & GTM designs the strategy, the Content Engine is the system that produces and publishes against it: LinkedIn, newsletters, podcasts, and paid campaigns, so your pipeline grows while you focus on the business.

LinkedIn organic + paid strategy & execution

Thought Leader Ad campaigns with full attribution

Newsletter design, build & management

Podcast production & content repurposing

HubSpot lead nurture sequences

Monthly performance reporting & analytics

Monthly Retainer

Start a conversation →See pricing →

Recent Campaign · InsurTech Scale-Stage Client

120K+

LinkedIn impressions

9.94%

Top ad CTR

vs 0.4% industry avg

29%

Form conversion rate

$0.14

Cost per engagement

AI Visibility (AEO)

When your buyer asks ChatGPT, Gemini, Claude, or Perplexity for a recommendation, your brand needs to be the answer. Our AEO Accelerator makes you visible across the AI models that are rapidly replacing traditional search.

AI engine optimization & prompt prioritization

Knowledge base content strategy

AI-readable schema & structured data implementation

Monthly AEO performance reporting

6-Week AcceleratorCohort-BasedOngoing Retainer

AEO Accelerator Cohort: 6 weeks, 8 seats, a fully implemented AEO system.

New cohorts start quarterly. Applications reviewed weekly. See pricing

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How We Work

Every engagement starts with a conversation.
A direct conversation about what you need.

Discovery call

30 minutes to understand what you are building, where you are stuck, and whether we are the right fit.

Scope & proposal

A clear plan with defined deliverables, timelines, and engagement structure. Everything spelled out.

Build & iterate

We execute in tight cycles with regular check-ins. You see work early and often.

Start a Conversation

Tell us what you're building.

We'll get back to you within one business day.