Set direction
Translate business goals and search evidence into a sequenced SEO plan.
SEO LEAD / SYSTEM BUILDER
The full stack — SEO, AI Search, LLM workflows, agentic AI, Python automation and engineering. Not just tool names: what I actually build and what it does.
Skill Groups
4
Capabilities
17
AI Workflows
6
Leadership capabilities
The capability stack starts with the work a Lead is accountable for: making priorities clear, coordinating people and turning uncertainty into an executable next step.
Translate business goals and search evidence into a sequenced SEO plan.
Break work into clear handoffs across SEO, Marketing, AE and development.
Assess feasibility, capacity, risk and client expectations before commitments are made.
Diagnose live blockers and decide the next practical action without losing context.
AI & LLM
LLM-Powered SEO Analysis
Feeds structured SEO data (GSC, GA4, PSI, SERP, crawl) into LLMs with a data contract and output validation — so AI analysis is auditable, not hallucinated.
SEO Monitor Bot llm-analyze: Gemini / GPT / Claude analyze 15 brands with validated JSON output
Root-cause analysis: keyword → page → intent → technical, with evidence
Impact payload: deterministic JSON for LLM consumption
AI Search Optimization
Optimizes content and structured data so AI search engines (Google AI Overviews, ChatGPT, Perplexity) understand the entity and cite the source.
Entity SEO: Person, Organization, Article schema with SameAs links
Content structured for answer-engine extraction
Brand mention monitoring across AI search results
AI Content & A/B Testing
Uses LLMs to generate content briefs from SERP analysis, create title/meta variants, and predict which variant will rank better before publishing.
Content briefs generated from competitor SERP analysis
Title impact analysis: compare two titles, predict winner
A/B test SEO: compare h1, word count, schema, video — with confidence score
AI Forecasting & Win Probability
Probabilistic ranking forecast model that combines GSC, GA4, PSI and SERP competitor data to predict if a keyword can reach Top 3 — before investing in content.
forecast-rank: predicts ranking trajectory for any keyword
win-prob: calculates win probability vs competitors + advantage projection
Backtest: validates model against 90-day historical data, tunes weights
Agentic AI Pipelines (QuantSoar)
Built multi-agent AI system for QuantSoar — investment intelligence platform with agent routing, RAG, and inter-agent communication.
Agent router: routes queries to portfolio, macro, research, alert, strategy, tutor agents
RAG engine: retrieval-augmented generation on filings, earnings, news
Micro-catalyst agent: finds overlooked ripple effects and second-order impacts
Marketing agents: analytics, campaign, monitor, financial agents with orchestrator
Automation with AI
Python pipelines that combine data collection, AI analysis and report generation into one repeatable workflow — reducing manual work from hours to minutes.
SEO Monitor Bot: 15 brands, JSON/HTML/Markdown reports with LLM analysis
Competitor alerts: AI monitors SERP changes and flags threats
Link opportunities: AI identifies backlink gaps from SERP + niche heuristics
Full stack
SEO (%)
SEO Strategy & Client Pitching
Strategy Decks · Executive Narrative · Live Q&A · Stakeholder Alignment
SEO Roadmaps & Prioritization
Quarterly Planning · Effort / Impact · KPI Mapping · Delivery Sequencing
Keyword, Competitor & Market Strategy
Search Intent · SERP Analysis · Ahrefs · SE Ranking · Google Trends
Content Strategy & Topic Clusters
Content Briefs · Topic Clusters · Editorial Planning · Internal Linking
Technical, Local & Structured SEO
Technical Audits · Local SEO · Core Web Vitals · JSON-LD · Schema.org
AI Search / AEO / GEO (%)
AI Search Optimization
AI Overviews · LLM Citations · Answer-Engine Optimization (AEO) · Generative Engine Optimization (GEO) · Entity Clarity
Schema for AI
JSON-LD · Entity SEO · Knowledge Graph Alignment · SameAs Links
AI Search Monitoring
SERP Tracking · AI Overview Tracking · Brand Mention Monitoring
AI & LLM Workflows (%)
LLM-Powered SEO Analysis
Gemini · GPT · Claude · LLM Analyze Pipeline · Output Validation
AI Content Generation
Content Briefs from SERP · Title / Meta Generation · A/B Variant Generation
Agentic Pipelines
Agent Routing · RAG · Multi-Agent Orchestration · Inter-Agent Board
AI Forecasting
Ranking Forecast · Win-Probability Model · Backtest & Weight Tuning
Engineering (%)
Python & Automation
Python · GSC API · GA4 API · PageSpeed Insights · SE Ranking API
Content Architecture Automation
Pillar Selection · Topic Clustering · Link Juice · Content Gaps · CMS Exports
Web Development
Next.js · React · WordPress · Shopify · PHP · MySQL
Backend & Data
FastAPI · PostgreSQL · Redis · Docker · REST API
Analytics
GA4 · GTM · Looker Studio · Mandala Analytics · Whatagraph
AEO / GEO
I can apply answer-engine and generative-search principles within an SEO foundation. Published case-study proof is listed separately so capability is never presented as a client outcome.
Can do
Published case-study proof
No standalone AEO/GEO client case study is published yet. See the SEO systems and ranking case studies for the underlying technical, content and measurement foundation.
View published evidence →Proof links
Skills are linked to the systems and client work where they appear, so the stack can be evaluated through shipped evidence.
Tools index
A compact reference for recruiters and hiring teams. The proof links above show where these tools are applied.
Projects and case studies show what these capabilities produce.
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