AI integration

AI that earns its keep in the workflow.

Four engagement shapes — hourly workflow integration, custom builds, workshops, and strategy assessments. For marketing teams that want real productivity gains without the AI-hype trap.

Who this is for

Three kinds of buyer.

Solo / small-team marketers

You're doing the work yourself and want to move faster without sacrificing quality. AI-assisted writing, research, competitive analysis, reporting automation.

Agencies managing local clients

Running SEO for 10-50 small business clients. AI-accelerated audit delivery, reporting automation, content scaling. Productivity multiplier on existing work.

In-house marketing teams (1-10 people)

Scaling a lean team with AI tooling. Content operations, keyword research at scale, internal linking automation, citation monitoring.

What this isn't

Three anti-patterns .

'Replace the writer with ChatGPT'

AI-generated content with no human editorial layer performs badly. Google's content quality systems detect AI slop. The move is AI-assisted human writing, not AI replacement.

'Automate link building'

Scaled link schemes are manual penalty territory. AI doesn't make spam less spammy. If it sounds like a way to scale black-hat tactics, it's the wrong use of AI.

'Let the bot run without oversight'

Agentic workflows (AI taking actions autonomously) require careful supervision. A misconfigured bot publishing 50 pages of hallucinated content is a week of cleanup.

Process

How a Custom Build engagement runs.

01

Discovery

Understand your current workflow, pain points, team skills, and existing tooling. 2-hour kick-off.

Week 1
02

Build / integrate

Implementation. Custom workflows, prompt templates, tool configuration, or training materials — depending on engagement.

Weeks 2-N
03

Iterate

First 30 days of use. Adjust prompts, fix edge cases, refine workflows based on real usage patterns.

30 days
04

Deploy + handoff

Documentation, team training, runbook for ongoing operation. Clean handoff.

Final week
FAQ

Common questions.

Do you actually implement or just advise?

Both. Hourly consulting is advisory. Custom Builds are full implementation — I write the code, configure the tools, train your team, and hand off documented workflows.

What AI tools do you actually use yourself ?

Claude (primary LLM for writing/research), GPT-4 (specific tasks), n8n / Airtable (workflow glue), custom scripts in Python and TypeScript. Tool stack matters less than the workflow design.

Is this just for SEO or broader marketing ?

SEO is my primary depth but AI integration generalizes. I've done AI workflow work for content ops, competitive intelligence, customer research, and sales enablement across local businesses.
Start here

AI is a tool. Tools need craftspeople .

Start with a 15-minute call to see whether AI integration actually fits your situation — or whether traditional SEO is the better investment first.