Certified AI Marketers

Built a workflow that turns webinar recordings into polished blog posts automatically, extracting insights and speaker quotes while running quality checks, saving days of manual work.

Created a workflow that uses internal Notion Enterprise Search data to cut research time down by hours and another that helps identify key Notion Template pages to rank higher on Google.

Created a complete research-to-publish pipeline that now handles 60-70% of what she previously managed across multiple tools saving 5+ hours per piece

Created a workflow that analyzes AI overview claims against existing content, scoring coverage gaps and providing detailed recommendations for content updates to maximize AI overview visibility.

Built a comprehensive research workflow that tracks policy discussions across news, social media, and government sources, plus an SEO research system that analyzes top-ranking content structure and user search patterns - automating weekly policy research that would take 4+ hours manually.

Created a workflow that takes our existing 500 product pages and optimizes them for SEO by analyzing competitor keywords, structuring content, and generating FAQs, saving me 12+ hours a week.

Created a workflow that automatically transforms raw podcast transcripts into polished, SEO-optimized episode summaries, saving two hours per episode.

Created a comprehensive site maintenance toolkit with two workflows: keyword crawler for systematic terminology audits across 100+ pages with contextual reporting, and automated broken link detection that scans sitemap URLs and tracks non-200 status codes in organized reports.

Built two workflows: automated FAQ generator that scrapes content and researches customer questions for product pages, plus SEO article creator that analyzes competitors and generates optimized content with quality checks - saving 6+ hours per piece.

Built three complementary SEO workflows: head-to-head competitor comparison page generato, automated keyword research to content brief pipeline, and underperforming keyword detection system, automating hours of work each week.

Built a comprehensive scalable content engine with 80+ automated steps that transforms keywords into complete lead magnet articles with internal linking, QA checks, FAQs, LinkedIn posts, video scripts, and integrated quotes from proprietary case studies - saving 40+ hours of manual research and content creation per piece.

Built 4 workflows including a Reddit engagement system that enabled community management at scale, a content audit workflow that cut a 2.2-year project down to 2 months, plus sentiment analysis and AIO capture systems saving 10+ hours weekly.

Created an intelligent content audit system that scrapes URLs, analyzes search performance data, and contextually determines whether to update brand terminology with confidence scores and rationale, automating 90% of what would normally be a month-long manual process.

Created an automated content brief system that generates topic ideas, identifies content gaps, analyzes competitor strategies, and maps internal linking opportunities while checking against existing content, streamlining the research process for regulated industry clients.

Created a workflow that discovers high search volume holidays, checks current content, and SEO optimizes the Notion Template Marketplace templates that are most likely to appear.

Built an end-to-end content creation workflow that automates competitor analysis, keyword filtering, brief generation, and article writing with template structure validation, enabling non-SEO teams to create quality content while saving 6+ hours per piece.

Built an AI workflow that generates hyper-targeted, long-tail queries using Google's query fan out method, then creates unique content by pulling insights from 200+ keynote transcripts, delivering richer content than traditional keyword research in a fraction of the time.

Built 4 workflows for scaling an 8-person SEO team: keyword extraction, branded term identification, automated key takeaway boxes (turning 1.5 days of work per article into same-day completion for 100+ articles), and competitor gap analysis.

Created a sales enablement workflow that transforms how sales teams prepare for prospect meetings by automatically generating data-backed discovery questions and competitive insights.

Created a comprehensive editorial research workflow that automates hours of manual research for news editors working entity-driven beats.

Created a comprehensive content review workflow that handles 60-70% of what he previously managed across multiple tools, saving 5+ hours per piece while solving the dual challenge of review volume and technical expertise gaps.

Built multiple analysis workflows including a landing page builder that automates keyword research, competitor analysis, subcategory selection, and product matching for paid ad pages - replacing over an hour of manual work per page with potential for 200-300 hours saved across planned campaigns.

Built a workflow that transformed his 200-piece content strategy process from days to minutes, using key indicators like topical authority.

Created a workflow that automatically finds highly relevant keywords and builds custom and highly tailored tool landing pages contextualized by information from support docs.

Created an intelligent content localization system that screens 600+ English articles for French market fit, combines cultural context with SERP optimization, and outputs authentic French content—saving hours while avoiding generic translation quality.

Created a content audit workflow that systematically evaluates content performance against competitor benchmarks and search intent coverage and identifies optimization opportunities by analyzing keyword gaps, internal linking issues, and technical SEO problems.

Built a workflow that spots content enhancement opportunities from SMEs and automatically creates unique interview questions to collect the content.