Experience: 3 to 5 Years
Key Responsibilities:
1. AI & Answer Engine Optimization (AEO)
AI Overview Strategy: Optimize content to appear in Google’s AI Overviews and AI-led search platforms (e.g., Perplexity, Gemini, Chat GPT).
GEO (Generative Engine Optimization): Implement tactics such as "cite-worthy" statistics, expert quotes, and structured summaries to increase the probability of being cited by LLMs.
Entity-Based SEO: Shift from keyword-matching to Entity-base optimization, ensuring search engines understand the relationships between our brand, services and industry topics.
2. Advanced Keyword & Intent Research
Conversational Query Mapping: Identify long-tail, natural language questions that users ask AI assistants.
Zero-Click Analysis: Analyze "zero-click" search trends and develop strategies to maintain brand visibility even when users don't click through to the site.
3. Content Strategy & Human-Centric Optimization
E-E-A-T Enforcement: Ensure all content demonstrates high levels of Experience, Expertise, Authoritativeness, and Trust to combat AI-generated noise.
Hybrid Content Workflow: Collaborate with content creators to use AI tools for ideation and scaling while ensuring a "human-in-the-loop" for quality and brand voice.
Format-First Optimization: Structure content using FAQ blocks, "Direct Answer" snippets, and TL; DR summaries to cater to both humans and AI crawlers.
4. Technical SEO & Schema 2.0
Advanced Structured Data: Implement extensive Schema markup (FAQ, How To, Product, Person, and Speakable) to provide explicit context to AI models.
Performance & UX: Monitor Core Web Vitals and ensure the site is optimized for "Agentic" workflows (where AI agents might browse the site on behalf of a user).
5. Reporting & Share of Model Analytics
AI Visibility Tracking: Use modern tools to track Brand Share of Voice within AI responses.
Attribution: Analyze GA4 data to distinguish between traditional organic traffic and LLM Referral Traffic.