AI Search and Digital Content Experience Consultant
IBM · San Francisco, CA
- On site
- Full-time
- $150,000 / year
- San Francisco, CA
Job highlights
- Consult on AI search and digital content transformation.
- Advise on content strategy, site architecture, and data.
- Develop AI-driven marketing and analytics frameworks.
- Manage end-to-end client relationships and project delivery.
- Requires 10+ years in digital marketing or SEO.
About the role
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
We are looking for Consultants to join our growing AI Search & Digital Experience practice. In this client-facing role, you will guide enterprise organizations through the transformation of their digital presence to meet the demands of AI-driven search and next-generation content development. You will serve as a trusted advisor, supporting engagements that span content strategy, advanced site architecture, structured data systems, analytics and measurement, authority building, and AI-powered marketing — helping clients stay competitive as the end-to-end digital experience fundamentally shifts and content supply chains are transformed.
What We’re Looking for in a Person
You are intellectually curious about the shift from keyword-based to AI-driven search and excited to help clients navigate it. You are comfortable operating at both the strategic and tactical level — equally at home presenting a roadmap to a CMO and reviewing a complex site architecture, entity model, or analytics implementation. You build trust quickly with clients and bring a structured, hypothesis-driven approach to problem-solving, grounded in data, measurement, and technical rigor.
Activities / Responsibilities
AI Search Strategy & Content Advisory
- Consult with clients to assess their current digital and content footprint against the requirements of AI search engines (e.g., Google AI Overviews, Perplexity, ChatGPT Search).
- Design content strategies that optimize for AI search retrieval, including answer-layer optimization, topic authority, and semantic content structuring.
- Guide clients through building content frameworks and playbooks.
Site Architecture, Data Structuring & Agent Readiness
- Evaluate and redesign site architectures to support AI agent crawling and retrieval.
- Define content hierarchies, internal linking models, and scalable URL structures.
- Implement structured data systems including JSON-LD, Schema.org, and entity relationships.
- Advise on data modeling across CMS, metadata, taxonomies, and knowledge graphs.
- Configure sitemaps, robots.txt, and indexation for AI agent accessibility.
Analytics, Measurement & Insight Generation
- Design AI search performance measurement frameworks beyond keyword rankings.
- Define KPIs for AI visibility, mentions, citations, and business outcomes.
- Leverage GA4, Google Search Console, and emerging AI search analytics tools.
- Translate performance data into executive-ready insights.
Client Engagement & Delivery
- Own end-to-end client relationships across mid-market and enterprise accounts.
- Develop client-facing deliverables including audits, roadmaps, frameworks, and playbooks.
Required Technical And Professional Expertise
- 10+ years in digital marketing, SEO, content strategy, or web consulting
- AI Search Knowledge: Understanding of how LLM-based search engines retrieve and rank content
- Content Strategy for AI: Ability to design content architectures optimized for SEO and AI discoverability
- Technical SEO: Strong command of Core Web Vitals, crawl budget, indexation, and performance optimization
- Site Architecture: Experience with complex site architectures, content hierarchies, and internal linking models.
- Data Structuring and Models: Experience in structured data systems, taxonomies, and entity models to support AI retrieval. Ability to advise on robots.txt, sitemaps, and structured data for agent access. Hands-on experience implementing JSON-LD, Schema.org, and entity-based SEO
- Authority & Link Strategy: Understanding of third-party authority through digital PR and earned media
- Analytics & Measurement: Ability to operationalize analytics frameworks for AI search performance.
- AI Marketing Tools: Working knowledge of enterprise AI content generation tools and governance
- Client Communication: Ability to translate technical concepts for executive audiences
- Project Delivery: Experience delivering complex, multi-workstream consulting engagements
Preferred Technical And Professional Experience
- Consulting Background: Experience at a management consulting, digital agency, or MarTech consultancy
- Agentic AI & MCP Familiarity: Awareness of Model Context Protocol (MCP) and agent interactions
- Analytics & Measurement: Experience with GA4, GSC, and emerging AI search analytics platforms
- MarTech Stack Expertise: Experience integrating CMS platforms such as Adobe Experience Manager
- Digital PR & Earned Media: Strategies for acquiring high-authority placements influencing AI citations
- Knowledge Graph & Entity SEO: Experience with Wikidata, Knowledge Panels, and entity disambiguation
- Change Management: Ability to guide organizations through AI-driven process adoption
- Advanced Analytics: Experience with log-file analysis, data visualization, and AI search performance reporting.
Key skills/competency
- AI Search Strategy
- Content Strategy
- Technical SEO
- Site Architecture
- Structured Data
- Analytics and Measurement
- Client Engagement
- Digital Marketing
- AI Marketing Tools
- Project Delivery
Skills & topics
- AI Search Consultant
- Digital Content Experience
- IBM Consulting
- SEO
- Content Strategy
- Technical SEO
- Site Architecture
- Structured Data
- Analytics
- Digital Marketing
How to get hired
- Tailor your resume: Highlight your 10+ years of experience in digital marketing, SEO, content strategy, or web consulting, emphasizing AI search knowledge and client-facing skills.
- Showcase AI expertise: Detail your experience with AI search engines, content optimization for AI, structured data systems (JSON-LD, Schema.org), and analytics frameworks for AI performance.
- Emphasize consulting skills: Provide examples of successful client engagements, roadmap development, and translating complex technical concepts for executive audiences.
- Prepare for technical and behavioral questions: Be ready to discuss AI search strategy, site architecture redesign, data structuring, and how you handle client challenges.
- Network and apply: Connect with IBM Consulting professionals on LinkedIn and apply through the IBM careers portal, expressing your passion for AI and digital transformation.
Technical preparation
Master AI search engine mechanics.,Design content for AI retrieval.,Implement structured data (JSON-LD, Schema.org).,Analyze AI search performance metrics.
Behavioral questions
Describe advising a C-level executive.,How do you build client trust quickly?,Explain a complex technical concept simply.,How do you approach a data-driven problem?
Frequently asked questions
- What are the key responsibilities for an AI Search and Digital Content Experience Consultant at IBM?
- As an AI Search and Digital Content Experience Consultant at IBM, you'll be responsible for guiding enterprise clients in transforming their digital presence for AI-driven search. This includes developing AI search strategies, optimizing content for AI retrieval, advising on site architecture and structured data, designing analytics frameworks for AI performance, and managing client relationships. You'll bridge the gap between advanced AI search capabilities and a client's content supply chain.
- What kind of technical skills are most important for this IBM consulting role?
- The role requires a strong foundation in technical SEO, including Core Web Vitals, crawl budget, and indexation. Expertise in site architecture, complex content hierarchies, and internal linking is crucial. You'll also need experience with structured data systems like JSON-LD and Schema.org, as well as understanding taxonomies and entity models to support AI retrieval. Familiarity with AI marketing tools and analytics platforms like GA4 is also key.
- Does IBM offer remote work options for the AI Search and Digital Content Experience Consultant position?
- Yes, this AI Search and Digital Content Experience Consultant role can be performed from anywhere in the United States, indicating a remote work arrangement for US-based candidates.
- What is the expected experience level for an AI Search and Digital Content Experience Consultant at IBM?
- IBM is looking for candidates with a significant amount of experience, specifically requiring 10+ years in digital marketing, SEO, content strategy, or web consulting. This level of experience is necessary to handle complex client engagements and provide expert advice on AI search and digital content transformation.
- How does IBM Consulting support career growth for its consultants?
- IBM Consulting emphasizes a culture of growth and empathy, focusing on your long-term career development. You'll be encouraged to explore new ideas, take on challenging projects, and will receive support for your professional growth, valuing your unique skills and experiences.
- What does IBM mean by 'AI-driven search' in this role?
- 'AI-driven search' refers to the evolving landscape where search engines increasingly use large language models (LLMs) and artificial intelligence to understand and respond to queries more contextually and comprehensively. This includes AI Overviews, generative search results, and more sophisticated natural language understanding, which requires new strategies for content optimization and visibility.