Search Engine Optimization Analyst

Job Overview:

We are looking for an innovative SEO Analyst with strong expertise in AI-driven strategies to join our team. This role goes beyond traditional SEO and focuses on understanding of LLM-based visibility alongside integrating artificial intelligence and machine learning into our search optimization efforts. The ideal candidate will have a deep understanding of modern SEO practices, proficiency with AI-based tools, and the ability to analyze data for actionable insights. 

Responsibilities:

• Develop and execute advanced SEO strategies to improve search rankings, traffic, and conversions.

• Perform comprehensive keyword research, competitor analysis, and site audits using AI-powered tools

• Optimize on-page and off-page SEO leveraging machine learning and predictive analytics

• Utilize AI-driven content optimization tools like SurferSEO, Jasper, MarketMuse, or Clearscope and LLM platforms like Poe, Preplixity and ChatGPT as plastforms where content needs to rank or appear as source links.

• Implement technical SEO best practices including site architecture, Core Web Vitals, and schema markup

• Automate reporting and SEO tasks using AI and scripting where applicable

• Collaborate with content and marketing teams to create AI-driven content strategies and topic clusters

• Monitor and analyze SEO performance using Google Analytics, Search Console, and AI-driven dashboards

• Stay updated on emerging AI technologies, Google algorithm updates, and predictive SEO trends

Qualifications:

• Minimum of 1.5 years of experience working as a SEO Analyst who demonstrated success in achieving ranking or citation within popular LLM tools (ChatGPT, Gemini, Perplexity, Poe)

• Proven record of crafting and refining prompts for generative AI to enhance LLM citation and retrieval of brand content.

• Deep familiarity with AI-driven topical authority mapping and semantic clustering for both search engines and LLMs.

• Proficiency with standard SEO tools, including SEMrush, Ahrefs, Screaming Frog, and other leading platforms.

• Familiarity with natural language processing (NLP) and semantic search optimization.

• Understanding of Google's AI-driven updates, including BERT, RankBrain, and MUM.

• Strong analytical and problem-solving skills, with experience in predictive analytics.

• Excellent communication and collaboration skills.