Connected systems for useful AI.
The Model
Systems, data, connectivity, tools, objectives.
Each layer depends on the one before it, so DEVMRK builds from the systems up and measures at the top.
- 01
Systems
Website and application data, analytics, Search Console, advertising platforms, CRM, content, and internal systems.
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Connected Data
Integrations and pipelines that bring those sources into consistent, permissioned shapes.
- 03
APIs & MCP
Scoped interfaces that expose the right context and actions to software and AI assistants.
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Purpose-Built Tools
Applications, agents, workflows, and reports designed around a specific job.
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Measurable Objectives
Every system is tied to an outcome the business already tracks: pipeline, revenue, cost, or time.
APIs & MCP
Give AI scoped access to the tools and data that matter.
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to external tools and data. An MCP server describes what an assistant can read and do, and enforces who can do it.
DEVMRK builds MCP servers and APIs around existing business and marketing systems, so assistants and agents work from current, permissioned information.
Tools
Actions an assistant can take, such as querying Search Console or drafting a report.
Resources
Read-only context such as analytics summaries, content inventories, or CRM segments.
Scopes
Permissions that match the people and workflows using the server.
Logs
A record of what was requested and returned, for review and improvement.
Systems We Connect
- Website & App Events
- Web Analytics
- Google Search Console
- Advertising Platforms
- CRM & Customer Data
- Email & Lifecycle Platforms
- Content Management Systems
- Forms & Lead Capture
- Internal Business Systems
- APIs
What It Is For
Useful work with measurable results.
We scope AI systems around business outcomes and build only what serves them.
Find Opportunities
Surface search queries, pages, segments, and campaigns where a focused change is likely to produce lift.
Automate Useful Work
Take repetitive analysis, reporting, and operational tasks off the team, with review where it matters.
Improve Decisions
Put connected, current data in front of the people and tools making budget, content, and product calls.
Get More From Existing Investment
Work with the data your marketing and business systems already produce before buying more of it.
Agentic AI Optimization (AAIO)
Ready for the AI agents that research and buy for your customers.
AI assistants and agents now compare options, fill in forms, and complete tasks on a person’s behalf. Agentic AI Optimization makes your website and systems easy for those agents to understand, trust, and act on.
DEVMRK builds AAIO the way we build everything else: engineered into the site, connected to your systems, and measured against a baseline.
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Readable
Semantic HTML, structured data, and clear product, service, and pricing pages that agents can parse without guessing.
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Actionable
Accessible forms, predictable flows, and APIs or MCP endpoints so an agent can book, quote, or buy without breaking.
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Governed
Access rules for crawlers and agents, rate limits, and bot protection that separates useful agents from abuse.
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Measured
Tracking for AI referrals and agent sessions, tied to leads and revenue, so you can see what AAIO changes.
Principles
How we build AI systems.
- 01
Start From the Objective
Define the decision or task and how success is measured before choosing models or tools.
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Scoped Access
Expose the minimum data and actions a tool needs, with permissions that match the people using it.
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Traceable Outputs
Show the sources and queries behind an answer so results can be checked.
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Human Review Where It Counts
Keep people in the loop for spend, publishing, customer communication, and other consequential actions.
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