Certified AI Marketers

Built a comprehensive SEO content optimization workflow that analyzes original blog posts against competitor content, identifies semantic gaps and missing entities, then generates fully rewritten articles with optimized meta tags, FAQ sections, and detailed competitive insights—transforming manual content audits that would take hours into an automated end-to-end system that delivers publication-ready optimized content with actionable recommendations for improved search rankings.

Built a workflow that automatically extracts YouTube video transcripts and stores them in a knowledge base by parsing video URLs, scraping transcript content, cleaning formatting artifacts, and writing structured entries with titles and source links for easy reference and reuse.

Built a comprehensive broken link discovery engine that analyzes search content across buyer personas and funnel stages to identify high-value link building opportunities, combining risk profiling, ICP targeting, and automated relevance scoring to transform weeks of manual prospecting into an intelligent, scalable system that prioritizes opportunities by citation frequency, topical alignment, and referring domain potential.

Built a workflow that automates image licensing verification by processing bulk image URLs through TinEye reverse image search, identifying matches on Shutterstock and iStockPhoto, and organizing results into comprehensive markdown tables that separate licensed from unlicensed images with detailed analysis notes.

Built a comprehensive dual-scorecard workflow that evaluates webpages across both SEO performance and brand quality standards, scraping content and analyzing 12 distinct criteria including technical SEO, content structure, tone, inclusivity, and ethical standards—delivering detailed scoring breakdowns with specific justifications that transform subjective content review into objective, scalable quality assurance for home improvement content at scale.

Built a comprehensive research-to-publish workflow that transforms topics into publication-ready Substack articles by conducting deep web research with Perplexity, analyzing SERP data, generating detailed editorial briefs, and producing 2,500-3,000 word articles with proper citations and brand voice adherence, automating the entire content creation pipeline from initial research through final draft.

Built a comprehensive workflow that optimizes content for AI-powered search visibility by generating custom LLM optimization plans, scraping existing page content, and producing complete content updates including TL;DR sections, stats tables, H2 content, and JSON-LD schema markup tailored to improve rankings in Google AI Overviews and ChatGPT responses.

Built a comprehensive LLM discovery audit workflow that analyzes how AI models interpret landing page messaging versus strategic intent, using a three-agent system to extract strategic messages, simulate LLM perception, and score alignment gaps with specific optimization recommendations.

Built a comprehensive competitive analysis workflow that transforms sitemap data and competitor intelligence into strategic content recommendations by analyzing URL patterns, keyword gaps, and topical authority across complete site inventories, then cross-references proposed content against existing pages to deliver prioritized implementation roadmaps with funnel-stage mapping and business relevance scoring, reducing strategic planning time from weeks to hours while ensuring brand voice consistency throughout all recommendations.

Built a workflow that analyzes blog posts against search data to identify high-value FAQ opportunities, automatically generates brand-aligned answers, and provides precise integration instructions with performance scoring to determine whether content should be refreshed or redirected.

Built a comprehensive search quality evaluation workflow that scrapes Peerspace listing pages, extracts all venue thumbnails and descriptions, then uses multi-step AI analysis to classify both text content and images for relevance against search intent, automatically calculating relevance ratios and generating detailed reports that distinguish between production versus event use cases and specialized studio types, transforming manual quality audits into systematic, scalable assessments.

Built a comprehensive content localization workflow that analyzes German fashion articles for Polish market fit, scrapes and compares existing content to identify gaps, conducts competitive SEO research, and generates fully localized Polish articles with strategic keyword integration—transforming a multi-week manual translation process into an automated system that delivers culturally adapted, SEO-optimized content while maintaining brand voice across markets.