SEO Strategy AI
See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent
Advanced Multi-Agent SEO System
BOFU: Production LangGraph with Router → Specialized Agents → Aggregation
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
MCP Tool Use Pattern
TOFU: LLM calls SEO tools via Model Context Protocol - see real tool execution
Automation Task
User query → LLM decides tool → Executes keyword_gap_analysis() → Returns structured data
Terminal ready. Run simulation to begin.
RAG-Based SEO Intelligence
MOFU: Search 100+ SEO documents with vector similarity
Search Query
"Search Historical Keyword Research"
Embed query → Search vectors → Retrieve chunks from Q3 keyword research docs → Generate answer with specific keywords and volumes
RAG Vector Search Network
Search Results
Run visualization to see results
Multi-Tool SEO Orchestration
MOFU: Multiple SEO tools working together automatically
ROI Analysis
Orchestrator calls: ranking_tracker(500 keywords) + competitor_monitor(25 sites) + content_auditor(site) + serp_analyzer(top keywords) → All execute in parallel → report_generator(aggregate results) → alert_tool(significant changes)
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
Ready for Production SEO System?
We'll build your custom system: MCP tools (TOFU) → RAG search (MOFU) → Multi-tool (MOFU) → Multi-agent (BOFU). From demos to deployment in 8 weeks. Track 500+ keywords, monitor 25+ competitors, automate daily reports.
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