Senior Manager, AI-Search

TAG - The Aspen Group•Chicago, IL

1d•$140,000 - $160,000

About The Position

We are seeking a Senior Manager, AI-Search to join The Aspen Group. This role operates at the intersection of SEO, AI search, and local search — owning the technical standards, testing discipline, and cross-channel hygiene that determine how our brands show up across search engines and large language models. The Senior Manager, AI-Search is a hands-on practitioner, not a strategy-only role. You will leverage AI to accelerate audit execution and time to market, deploy and manage SEO A/B testing programs, maintain standards compliance across SEO, AI, and Local, and proactively surface growth opportunities through regular cross-brand analysis. You will work closely with senior leadership to align priorities with business objectives and ensure initiatives drive measurable patient acquisition outcomes. The ideal candidate combines deep technical SEO expertise with a testing-first mindset and the ability to operate across multiple brands and channels simultaneously. You must be comfortable working at the technical layer, building business cases for site performance improvements, and translating analysis into clear requirements for cross-functional partners.

Requirements

7+ years of experience in digital marketing, with at least 5 years focused on SEO and at least 3 years in a leadership or managerial capacity.
Strong command of crawl analysis, log file analysis, site architecture, internal linking strategy, schema, Core Web Vitals, indexation management, and rendering.
Advanced knowledge of Screaming Frog is required.
Experience assessing off-site factors including backlink profile health, referring domain quality, and external citation signals.
Comfortable working at the technical layer and defining requirements for engineering teams.
Demonstrated experience designing, deploying, and analyzing SEO A/B tests. You understand statistical rigor, test isolation, and how to translate test outcomes into production decisions.
Practical experience leveraging AI tools to accelerate audit and analysis workflows.
Understanding of how large language models source, surface, and cite content, and how that differs from classical search behavior.
Experience managing or coordinating across national SEO, local search, and AI search channels. Familiarity with the hygiene and reconciliation challenges that arise when multiple channels serve the same brand.
Expertise in supporting content initiatives across pages representing more than 1,000 physical locations. Understanding of what scale demands in terms of benchmarking, monitoring, and performance tracking.
Strong analytical mindset with proficiency in analytics and reporting tools (Google Analytics, Google Search Console, Semrush, or equivalent). Ability to connect analysis to business outcomes and patient acquisition.
Excellent communication skills with the ability to define technical requirements, build business cases, and present findings to leadership in a way that drives action.
Strong organizational skills with the ability to manage multiple workstreams, prioritize across brands, and deliver on deadlines in a fast-paced environment.

Nice To Haves

Healthcare industry experience is a plus.
Bachelor’s degree in Marketing, Business, Communications, or a related field.
Experience operating across multiple brands or business units within a single organization, with an understanding of how to maintain consistency while adapting to brand-specific needs.
Hands-on experience with server log file analysis for SEO purposes, including crawl budget optimization and bot behavior analysis.
Familiarity with the healthcare industry, including patient acquisition strategies, HIPAA compliance, and navigating industry-specific challenges.
Innovative thinking and the ability to adapt to an evolving digital and AI-driven landscape.
Previous experience with coding languages (Python, JavaScript, HTML/CSS, or similar) is a plus. Ability to write or modify scripts for data extraction, automation, or technical SEO analysis is valued.

Responsibilities

Develop and maintain unified standards across SEO, AI search, and Local. Build systems to monitor compliance with best practices and support cross-functional teams in maintaining those standards. Implement updates at the technical layer and ensure consistent application across all brands.
Leverage AI tools and platforms to improve time to market on technical and content audits, reducing cycle time while increasing coverage and accuracy.
Deploy SEO A/B tests to understand what factors impact results. Design test frameworks, analyze outcomes, and translate findings into actionable recommendations that inform content and technical decisions.
Manage the coordination and reconciliation of SEO, AI, and Local hygiene across brands. Ensure data consistency, listing accuracy, and alignment between national and local search presence.
Proactively identify new growth opportunities through regular analysis across all brands. Surface emerging trends, competitive gaps, and untapped search demand to inform the practice’s content and technical roadmap.
Support content deployments through benchmarking, crawl analysis, and performance monitoring. Provide pre- and post-publish performance context to the editorial team to inform production priorities.
Verify that technical and content changes are implemented correctly and performing as intended. Own the post-implementation QA process to confirm that updates at the technical layer, on-page changes, and configuration adjustments are live, accurate, and producing the expected outcomes.
Stay current with new developments at the intersection of SEO and AI visibility and performance. Evaluate emerging ranking factors, LLM citation behaviors, and AI search surface changes, and translate relevant advancements into actionable updates for the practice.
Conduct internal linking analysis to identify structural opportunities, improve crawl efficiency, and strengthen topical authority across the site. Monitor and assess off-site factors — including backlink profile health, referring domain quality, and external citation signals — that influence both traditional search and AI search visibility.
Escalate technical issues, define requirements, and build business cases to advance SEO and AI site performance. Translate technical findings into language that resonates with leadership and cross-functional stakeholders.
Provide data-driven reporting and actionable insights to stakeholders, with a focus on performance trends, drivers, and measurable impact on patient acquisition.