AI marketing consulting for teams that need systems, not tool sprawl.
I help Sydney and APAC B2B teams use AI to improve content production, lead magnet follow-up, funnel reporting, and workflow speed without losing accuracy, brand voice, or commercial focus.
The first job is deciding where AI creates a business result, not just more output.
Funnel diagnosis
Map where leads, content, attribution, or follow-up break down before recommending any new tool. AI is useful only when it removes a real constraint.
Tool stack review
Audit current subscriptions, overlaps, data silos, and manual workarounds so the stack becomes smaller, cleaner, and easier to measure.
Content production system
Design repeatable workflows for research, briefs, drafts, editing, visual prompts, repurposing, SEO checks, and human approval.
Lead magnet automation
Connect guides, quizzes, spreadsheet fields, tags, email timing, and reporting so downloads become a simple nurture path instead of a dead end.
Quality governance
Set rules for accuracy, brand voice, source checking, approval thresholds, and what AI is allowed to publish or automate without review.
AI works best when each cycle improves the next one.
Diagnose
Identify the workflow bottleneck, target metric, current tool coverage, and measurement gap.
Design
Choose the minimum stack, data inputs, prompt patterns, review steps, and handoffs.
Build
Create the content, funnel, reporting, or automation system your team can actually maintain.
Improve
Use performance data and human feedback to refine prompts, workflows, and quality controls.
Start with the guides that explain the system.
Marketing AI Tools: A Practitioner's Guide
How to choose AI tools by funnel stage, integration, and measurable ROI.
AI Content Production Stack
A workflow for scaling content without publishing generic AI output.
The Role of AI in B2B Marketing in 2026
Lead scoring, ABM personalisation, sales workflow integration, and governance.
AI Search Optimization
A topic hub for Google AI Overviews, schema, E-E-A-T, and answer-engine visibility.
Useful when AI is everywhere in the team, but nowhere in the system.
This is a good fit if people are using ChatGPT or Claude ad hoc, content quality is uneven, the tool stack is growing without measurement, lead magnets have weak follow-up, or reporting cannot show whether AI is improving funnel performance.
If the problem is a complex enterprise implementation, I will usually point you to a specialist integrator. If the problem is practical marketing workflow design, content systems, lead magnet paths, and measurement, I can help.
Questions before booking an AI marketing audit.
What does an AI marketing consultant do?
An AI marketing consultant helps teams identify where AI can improve marketing workflows, then designs practical systems for content production, lead magnets, automation, reporting, and quality control.
Can you help choose AI marketing tools?
Yes. I audit the current funnel, existing tools, data layer, team capacity, and measurable bottlenecks before recommending AI tools, so the stack supports actual growth work instead of adding subscriptions.
How do you stop AI content from becoming generic?
The workflow starts with real business context, original observations, examples, and brand rules. AI is used for structure and speed, while human review handles accuracy, point of view, voice, and final publishing decisions.
Do you build automations without a large marketing platform?
Yes. Many useful workflows can start with simple forms, spreadsheets, tags, email sequences, UTMs, and lightweight automation tools before a team needs a full enterprise marketing platform.
Bring one AI workflow that feels messy. I will help find the first useful fix.
Good starting points: “we have too many AI tools,” “our AI content sounds generic,” “downloads do not turn into leads,” or “we cannot measure whether AI is saving money.”
Book a free 30-minute AI marketing audit →