Generative AI & SEO Strategist

**Who are we?** Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. **Summary** As our Generative AI & SEO Strategist, you will lead optimization across AI-powered search experiences — including Google AI Overviews (AIO), Generative Engine Optimization (GEO), and AI Index Engine Optimization (AIEO). This role is critical to ensure Smarsh remains discoverable and competitive as the search landscape transforms. You will blend deep SEO expertise with advanced AI search strategies to maximize our visibility, protect and grow organic-driven marketing-qualified leads (MQLs), and directly influence our sales pipeline. ### How will you contribute? - Protect and grow search-driven pipeline by optimizing and implementing GEO and SEO strategy. - Monitor and grow Smarsh's brand and product visibility across LLM-powered platforms including ChatGPT, Perplexity, Google AI Overviews, and emerging entrants using the Profound AEO platform. - Own and execute Smarsh's global SEO, GEO, and AI search strategy to increase organic visibility, AI citation presence, and pipeline contribution across digital channels. - Optimize digital experiences for both traditional search engines and AI-powered discovery platforms including ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. - Lead keyword, topic cluster, and entity-based research to expand content authority and improve discoverability across traditional search and AI ecosystems. - Build and maintain prompt libraries across all product categories to systematically test and track citation performance. - Analyze citation share data to identify where we are and are not appearing, and build a prioritized action plan to close gaps. - Conduct AI query intent analysis and adapt content strategy to match high-intent, AI-surfaced search terms. - Advise on semantic HTML, schema, and entity optimization to improve AI summarization and citation rates. - Deliver technical SEO recommendations that improve crawlability, indexing, site architecture, structured data implementation, and Core Web Vitals performance. - Design and implement internal linking, on-page optimization, and content structuring strategies that improve engagement, discoverability, and search performance. - Regularly audit website performance for AI-readability, structured data accuracy, and zero-click search inclusion. - Build and monitor multi-platform search intelligence dashboards, tracking presence in AI-generated results alongside traditional rankings. - Build measurement frameworks that quantify AI search visibility, answer engine performance, and overall GEO effectiveness. - Partner with content, product marketing, demand generation, and regional marketing teams to ensure all new and existing content is optimized for SEO and AI search. - Conduct ongoing competitive intelligence across traditional search and AI search platforms to identify opportunities, defend market share, and improve share of voice. - Develop and execute structured SEO and GEO experiments to improve AI citation performance and organic visibility. - Establish SEO and AI optimization standards and best practices across digital content and web experiences. - Champion adoption of AI search best practices through cross-functional enablement and documentation. - Identify opportunities to automate SEO analysis, AI citation monitoring, reporting, and optimization workflows using AI technologies. - Partner with Revenue Marketing and Operations to connect SEO and AI initiatives to pipeline and revenue attribution. - Drive initiatives that strengthen content authority, trust signals, entity relationships, and E-E-A-T to improve AI and traditional search visibility. - Support international SEO initiatives including regional content strategies and hreflang recommendations as global expansion evolves. - Communicate search insights and strategic recommendations to executive stakeholders, influencing priorities that drive global digital growth. - Produce high-quality, data-driven reporting on AI search visibility, traffic, and conversion metrics. ### What will you bring? - Bachelor's degree in marketing, digital strategy, or related field. - 5+ years of experience in B2B search engine optimization; SaaS and financial services experience preferred. - Proven record of driving measurable pipeline impact from organic and AI-optimized search strategies. - Deep understanding of Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), AI Index Engine Optimization (AIEO), and evolving AI-powered search behaviors. - Hands-on experience with enterprise SEO platforms including Profound, GA4, Google Search Console, SEMrush, Ahrefs, Screaming Frog, or equivalent technologies. - Strong knowledge of structured data markup () and entity optimization for AI discoverability. - Skilled in analyzing AI-generated search outputs and reverse-engineering strategies to secure placement. - Proficiency in HTML, CSS, and familiarity with JavaScript implementation best practices. - Demonstrated ability to translate complex technical findings into clear, actionable recommendations for executive and cross-functional stakeholders. - Proven ability to influence cross-functional teams and align web, content, product marketing, regional marketing, and development teams around a unified search strategy. - Highly analytical and results-driven, with the ability to tie visibility metrics directly to lead generation and revenue impact. - Experience with WordPress CMS and enterprise-level website optimization. - Self-motivated, collaborative, and able to lead cross-functional optimization initiatives.