AI Search and Digital Content Experience Consultant
IBM Computing, Chicago, IL, United States
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.
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.
This role can be performed from anywhere in the US
Required technical and professional expertise
10+ years of experience 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 visualisation, and AI search performance reporting.
IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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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.
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.
This role can be performed from anywhere in the US
Required technical and professional expertise
10+ years of experience 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 visualisation, and AI search performance reporting.
IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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