Development + Marketing
Development and marketing, connected for the age of AI.DEVMRK uses AI to integrate your systems and workflows, then turns the data into decisions that create and capture opportunities to better serve your customers.
Diagram: marketing systems (GA4, Search Console, ad platforms, social media, CRM, email and automation, commerce) and operational and development systems (support desk, data lake, APIs, CMS, applications) report events to an AI and MCP context layer. The layer gathers context from other systems, then sends actions back out, creating opportunities and automated tasks. Figures are illustrative.
What DEVMRK connects and builds: Software, Web & Mobile Apps, APIs & Integrations, AI Agents & MCP Servers, Blockchain & Web3, Analytics & Attribution, Paid Search & Social, Advertising & Customer Data, CRM & Marketing Automation, Websites & Landing Pages, TypeScript, Python & Rust, Prismic & Headless CMS
The DEVMRK Thesis
Marketing systems already generate enormous amounts of valuable data. DEVMRK builds the software and connectivity that let AI and purpose-built tools do useful work with it.
DEV
Products, applications, APIs, integrations, data, and AI tooling.
MRK
Analytics, search, content, campaigns, conversion, and reporting.
DEVMRK
Software built around marketing and business data to find opportunities, automate work, and improve decisions.
DEV · Development
Custom software, products, and integrations engineered to connect with the systems a business already runs.
MRK · Marketing
Measurement, search, content, and campaign systems that show what is working and where to invest next.
AI + Connected Systems
DEVMRK connects the systems a business already runs, exposes the right context through APIs and MCP, and builds purpose-specific applications, agents, and workflows around it.
Website and application data, analytics, Search Console, advertising platforms, CRM, content, and internal systems.
Integrations and pipelines that bring those sources into consistent, permissioned shapes.
Scoped interfaces that expose the right context and actions to software and AI assistants.
Applications, agents, workflows, and reports designed around a specific job.
Every system is tied to an outcome the business already tracks: pipeline, revenue, cost, or time.
AI earns its place when it works with meaningful operational and performance data toward a defined objective.
AI + Connected SystemsSurface search queries, pages, segments, and campaigns where a focused change is likely to produce lift.
Take repetitive analysis, reporting, and operational tasks off the team, with review where it matters.
Put connected, current data in front of the people and tools making budget, content, and product calls.
Work with the data your marketing and business systems already produce before buying more of it.
Featured Products
From school management and licensing education to marketing, content, and AI, each product is built around the way the people using it actually work. Every one carries its current status.
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Tools & Systems
The kinds of tools DEVMRK builds for analytics, search, campaigns, and AI workflows.
Search
Connects Search Console query and page data to surface ranking movement, content gaps, and pages worth improving.
Analytics
Answers questions about site and campaign performance using connected analytics data, with the underlying queries shown.
Marketing
Watches key funnels and forms for drops in completion and flags changes worth investigating.
Marketing
Brings advertising platform data together with on-site outcomes to identify budget and targeting adjustments.
Analytics
Combines crawl, performance, and analytics signals into one view of technical site health.
AI Workflows
Composes repeatable, reviewable AI workflows from connected tools, data sources, and approval steps.
Prismic Specialization
Prismic gives an authorized AI system a structured way to work with website content. DEVMRK builds the context, connectivity, and governance around it that determine which work is worth doing.
How DEVMRK Works
Map the business objective, the systems involved, the data they produce, and where time or money is being lost.
Integrate the relevant sources and define the APIs, data models, and access that the solution needs.
Engineer the software, tools, agents, or site, with measurement designed in from the start.
Track results against the baseline, document what changed, and keep iterating on what works.
Outcomes
Every engagement starts from an outcome the business already tracks, and every system we build is measured against that outcome.
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