Search Engine Optimization Executive, Surat

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, ChatGPT). - 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, HowTo, Product, Person, and Speakable) to provide clear 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.