SEO Specialist MidLevel AIO GEO AI Agents

Job Description

SEO Specialist SEO, AIO/GEO & AI Automation

We are looking for an experienced SEO Specialist with strong hands-on expertise in SEO, a good understanding of AIO (AI Optimization) and GEO (Generative Engine Optimization), and a basic understanding of AI agents and automation for digital marketing use cases.

• Develop and execute on-page, off-page, technical, and content SEO strategies.
• Conduct keyword research, competitor analysis, search intent analysis, and content gap analysis.
• Perform technical SEO audits covering crawlability, indexing, site architecture, Core Web Vitals, schema, and internal linking.
• Optimize websites and content to improve organic visibility, traffic, and conversions.
• Monitor SEO performance and identify opportunities for continuous improvement.
• Manage link-building and digital PR initiatives with a focus on quality and relevance.

• Develop and execute strategies to improve brand and content visibility across AI-powered search and generative platforms.
• Optimize content to improve its likelihood of being understood, referenced, and cited by AI search engines and LLM-based platforms.
• Understand how platforms such as Google AI Overviews, ChatGPT, Microsoft Copilot, and Perplexity discover and surface information.
• Apply concepts such as entity optimization, topical authority, structured information, and conversational search to content strategies.
• Track AI-search visibility, brand mentions, and citations, and identify opportunities for improvement.
• Stay updated on developments in AIO/GEO, LLM SEO, semantic search, and AI-driven search behavior.

• Have a basic understanding of AI agents, agentic workflows, and AI-powered automation, particularly in the context of SEO and digital marketing.
• Understand how AI agents and automation can be applied to streamline repetitive tasks, research, analysis, content workflows, and reporting.
• Be familiar with AI tools such as ChatGPT, Claude, Gemini, and automation platforms such as n8n, Make, Zapier, or similar tools.
• Identify opportunities where AI and automation can improve efficiency, productivity, and digital marketing workflows.
• Stay updated on emerging AI tools, agentic capabilities, and their applications in SEO and digital marketing.

• Create SEO content briefs based on search intent, competitor research, topical authority, and AI-search opportunities.
• Review and optimize content, including AI-assisted content, for accuracy, originality, relevance, and search visibility.
• Collaborate with content, development, paid marketing, and account management teams as required.
• Support integrated SEO and AIO/GEO initiatives across client projects.

• Track and analyze SEO and AIO/GEO performance using relevant analytics and SEO tools.
• Monitor key metrics including organic traffic, rankings, conversions, backlinks, technical SEO health, content performance, and AI-search visibility.
• Prepare performance reports and translate data into actionable recommendations.
• Test new SEO and AIO/GEO initiatives and measure their impact.

• 35 years of hands-on SEO experience.
• Strong knowledge of technical, on-page, and off-page SEO, keyword research, content optimization, and link building.
• Good understanding of AIO/GEO, semantic search, entity optimization, and AI-driven search.
• Understanding of how LLMs and generative search platforms discover, interpret, and present information.
• Hands-on experience with Google Search Console, Google Analytics, SEMrush/Ahrefs, Screaming Frog, and reporting tools such as Looker Studio.
• Strong analytical, problem-solving, and communication skills.
• Ability to independently manage SEO projects and communicate recommendations to internal teams and clients.

Candidates with practical exposure to the following will have an advantage:

• Building or experimenting with AI agents and agentic workflows.
• Automation platforms such as n8n, Make, or Zapier.
• AI-powered workflows for SEO, content, research, reporting, or other digital marketing use cases.
• Basic understanding of APIs, prompt engineering, structured outputs, RAG, or similar AI concepts.