AI & Automation Workflows

Practical AI in day-to-day marketing

How I use AI tools to speed up reporting, sharpen content, and document workflows — without losing the human review step.

Prototype and workflow examples are learning projects or sanitized summaries, not client-confidential work.
01

AI-Assisted SEO Reporting

Structured prompts and templates that turn raw GSC, SEMrush, and Ahrefs exports into summaries, opportunities, and recommendations.

ChatGPTClaudeGSCSEMrush
02

Campaign Content Support

Drafting campaign angles, headline variations, meta descriptions, and content briefs — always reviewed before publish.

ChatGPTClaudeGoogle Sheets
03

AI Copy Variation Support

Rapidly generating tone, length, and audience variations of landing page and email copy for testing and stakeholder review.

ChatGPTClaudeMailchimp
04

Reporting Summary Automation

Combining data exports, Sheets logic, and AI-generated commentary to produce consistent monthly performance summaries.

Google SheetsLooker StudioChatGPT
05

Workflow Documentation

AI-supported documentation of campaign workflows, CMS processes, and QA checklists so teams share the same playbook.

NotionChatGPTClaude
Prototype

AI Conversion Command Center

A portfolio prototype exploring how AI and automation can support conversion optimization, landing page analysis, SEO/GEO recommendations, experiment backlogs, and reporting.

Prototype / learning project, not client-confidential work.

CROSEO / GEOExperiment BacklogReportingAIAutomation
1
Landing Page Analysis
Structured review of page hierarchy, CTAs, and messaging.
2
SEO / GEO Recommendations
Suggestions across metadata, content, and geographic targeting.
3
Experiment Backlog
Ranked list of test ideas with hypothesis and expected impact.
4
Reporting Layer
Summary drafts, insight extraction, and recommendation writing.