SEO, AI Search Consultant

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the implementation of AI Search (SEO/AEO/GEO) initiatives for major clients.

• Contribute to the SEO/AI Search strategy through customer behavior analysis, search insights, content strategy development, technical performance evaluations, external brand signals, detailed content and technical briefs, competitive analyses, impact reporting, and client implementation or strategic recommendations.

• Comprehend clients’ objectives for organic growth and marketing in relation to their products, industry, competitive landscape, and business goals.

• Perform research and thematic segmentation utilizing first- and third-party data sources and/or workflows.

• Analyze search environments, intent, competitors, and visibility strategies across Google organic search, AI Overviews, Gemini, ChatGPT, Claude, Perplexity, and other platforms.

• Collaborate on strategy formulation and execution planning with cross-functional teams.

• Align search behaviors with landing pages and evaluate client websites for visibility against targeted keyword segments.

• Conduct technical performance evaluations encompassing Page Experience, Accessibility, Rendering, and UX presentation.

• Offer recommendations and strategic briefs to support content optimization and creation.

• Work together with client or agency copywriters on search insights, optimization needs, and growth possibilities.

• Examine client sites for technical problems impacting search visibility and suggest enhancements.

• Facilitate the implementation and maintenance of structured data (JSON-LD/schema.org) and AI crawler access.

• Experiment with new methodologies involving advanced LLMs, GenAI, and evolving search platforms.

• Review paid search campaigns and keyword performance, collaborating with paid search teams.

• Audit the external digital presence of brands to enhance brand representation.

• Revise performance reports and insights utilizing Google Analytics, Adobe Analytics, Google Search Console, and other third-party tools.

• Keep abreast of emerging search opportunities, best practices, and updates within the industry.

• Support insights and actions derived from qualitative and quantitative data analysis.

⛳️ Requirements

• Minimum of 2 years of relevant experience.

• Solid understanding of both technical and content aspects that influence organic search performance rankings.

• A strong desire to learn, grow, and collaborate with colleagues across SEO, Digital Marketing, and cross-functional teams.

• Proficient in spotting issues and areas for enhancement concerning SEO performance.

• Experience with website analytics tools (e.g., Google Analytics, Adobe Analytics, etc.).

• Familiarity with HTML, CSS, JavaScript, structured data/schema markup (JSON-LD), and how LLMs crawl, parse, and reference web content, particularly in relation to SEO and AI/LLM-based search platforms, is advantageous.

• Knowledge of organic search ranking factors and search engine algorithms, with a commitment to staying informed about the latest trends in the Digital Marketing and SEO sector.

• Previous experience working across various brands or enterprise websites is highly preferred.

• Enthusiastic about Digital Marketing, SEO/Search, AI, and eager to learn, experiment, and innovate.

• Outstanding communication skills (both verbal and written).

• Exceptional organizational skills, ability to multitask, and keen attention to detail.

• Capacity to thrive in a fast-paced, collaborative environment.

🏝️ Benefits

• Competitive salary and benefits package.

• Retirement savings plan (401K).

• Flexible vacation policy.

• Diverse client portfolio with B2B and B2C accounts across a variety of industries, providing meaningful strategic opportunities.

• Structured career development program.

• Knowledge sharing across clients.

• Close collaboration with skilled internal experts.

• Active involvement with AI tools and emerging capabilities as part of our operational framework.