AI Automation: Deploying Specialized Agentic Workflows for Market Research and Technical SEO

Automation Stack & Architecture

• Agent Framework: Specialist Skill Agents (Codex First Customer Finder; Claude SEO with up to 15 parallel sub-agents).
• Integration Layers: GitHub repositories (`codex-first-customer-finder-skill`, `claude-seo`), Web scraping engines or URL input processors.
• Target Outcome: Automated generation of potential client lists with contact drafts and comprehensive website health scores/action plans.

Agent Roles & Tools Assignment

Customer Discovery Agent (via codex-first-customer-finder-skill)

• Persona, Goal, and Tools:
  • Goal: Identify target audiences and find companies/people with similar problems based on product links or descriptions.
  • Tools assigned: Target identification engine, lead list generator capable of producing HTML reports containing source links and message drafts.

SEO Audit Multi-Agent System (Claude SEO)

• Specialized Sub-Agents:
  
  • Technical SEO agent ($subagent_role): Analyzes site structure.
    
  • Content agent ($subagent_role): Evaluates content quality.
    
  • Schema agent ($subagent_role): Checks schema markup integrity.
    
  • Speed/Performance agent ($subagent_role): Monitors loading speeds.
    
  • GEO optimization agent ($subagent_role / ChatGPT + Perplexity compatible): Optimizes for AI search engines.
    
  • Mobile/Desktop compatibility agent ($subagent_role).
    
  • Sitemap & Backlink agents ($subagent_role).
    
• Target Outcome: Generation of a `health score` and an `ACTION-PLAN`.

Step-by-step Workflow Orchestration

Workflow 1: Customer Discovery

1. Input product link or text description into the `codex skill.
2. Agent executes target audience determination logic (identifying similar problems/users으로s).
3. System compiles data, finding companies with matching needs via web research tools.
4. Final output generation as an HTML report containing potential clients and message drafts ready for outreach.

Workflow 2: SEO Audit Execution

1. User provides website URL (`tochkicamp.ru`) to the Claude SEO toolset.
2. The system triggers up to 15 sub-agents running in parallel tasks.
3. Sub-agents execute specialized scans including Technical SEO, Content check, Schema validation, Speed testing, GEO optimization preparation, Mobile/Desktop checks, sitemaps, and backlinking analysis.
4. Data aggregation layer synthesizes findings from all concurrent agents.
5. Output delivery consisting of any identified gaps (e.g., Bot access like GPTBot vs robots.txt holes) a `health score` and prioritized `ACTION-PLAN`.

Error Handling & Loop Prevention

• Parallelism Management: Uses simultaneous execution or high concurrency ($subagent_role countup to 15) to prevent sequential bottlenecks during deep audits.
• Technical Validation: Detects discrepancies between crawler permissions such even when certain bots allow entry but cause hosting resource strain via direct detection logic properly checking site behavior against standard protocols.

Targeting potential clients through automated discovery while simultaneously scaling technical web visibility requires these highly specialized agent architectures that handle complex data extraction without manual intervention으로s.

! DYOR (Do Your Own Research)