Content Strategist | Agentic Commerce
AccentureOverview
We are seeking a Content Strategist who understands how agentic commerce transforms content from static marketing assets into structured, machine-interpretable systems that power discovery, decisioning, and autonomous transactions.
This role blends content strategy, information architecture, semantic modeling, and applied AI literacy with a deep understanding of Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). You will architect AI-native, agent-compatible content ecosystems that are brand-forward, structurally precise, and continuously optimized through signals, metadata, and feedback loops.
These content systems will enable brands to perform effectively in environments where intelligent agents shape discovery, interpret structured information, and increasingly act on behalf of customers.
Job Responsibilities
Content Architecture for AI-Native Commerce Ecosystems. Designing structured content systems that enable intelligent agent reasoning and optimization, including:
Developing modular content architectures that support reuse, recombination, and personalization across channels.
Defining taxonomies, ontologies, and metadata schemas that dramatically improve agent comprehension and retrieval accuracy.
Designing content models that enable structured comparison, decision support, and generative reinterpretation.
Ensuring product, service, and policy content is machine-readable, semantically rich, and aligned to agent-driven discovery patterns.
GEO & AEO Content Strategy. Building content systems optimized for LLM-mediated search, answer engines, and agent-driven journeys, including:
Identifying priority content domains that influence agent recommendations and autonomous decision-making.
Designing structured content frameworks that enhance findability, answer precision, and authoritative positioning.
Partnering with GEO practitioners to translate model insights into content refinements and structured improvements.
Establishing standards for multimodal content (text, visual, structured data) that support generative outputs and adaptive responses.
Modular Creative & Narrative Systems. Ensuring brand storytelling translates effectively into machine-operable structures, including:
Designing modular messaging systems that preserve brand integrity while enabling dynamic recombination.
Identifying controllable content variables—tone, framing, attributes—that can be tuned and optimized over time.
Translating brand voice into structured components that conversational and AI systems can deploy consistently.
Collaborating with Creative, Conversation Design, and Experience teams to ensure content systems support cohesive agent-mediated journeys.
Optimization-Centered Content Governance. Embedding experimentation and continuous improvement into the content lifecycle, including:
Designing experiments that test narrative structures, attribute framing, metadata schemas, and structured content variations.
Establishing performance measurement frameworks tied to agent retrieval, recommendation frequency, and conversion influence.
Translating optimization outcomes into scalable governance standards for marketing, commerce, and CX teams.
Ensuring content ecosystems evolve continuously through systematic testing, signal analysis, and model feedback loops.
Enterprise Content Enablement & Cross-Functional Leadership. Operating at a level to drive alignment across large organizations, including:
Leading cross-functional workshops to align marketing, commerce, product, legal, and technology teams around AI-native content strategy.
Defining enterprise-wide content standards that enable scalability and long-term governance.
Advising clients on content operating model transformation required for agentic commerce.
Providing strategic guidance to senior stakeholders on risks, opportunities, and competitive positioning in AI-mediated ecosystems.
Basic Qualifications:
5+ years of experience in content strategy, structured content systems, or enterprise information architecture, including industry experience in Retail and Consumer Goods & Services.
Preferred Qualifications
Bachelor’s degree in communications, Information Architecture, Design, Journalism, Library & Information Science, or a related field.
- Demonstrated expertise in taxonomy development, ontology design, metadata modeling, and modular content frameworks.
Familiarity with Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) principles.
Experience partnering with data science, AI, and engineering teams to implement structured content solutions.
Exceptional communication skills with the ability to engage senior client stakeholders.
Strong understanding of production-ready specifications and governance models for scalable content systems.
A passion for innovation and a commitment to helping clients responsibly adopt AI-driven content ecosystems.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 04/07/2026
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $73,800 to $182,600
Cleveland $68,300 to $146,100
Colorado $73,800 to $157,800
District of Columbia $78,500 to $168,000
Illinois $68,300 to $157,800
Maryland $73,800 to $157,800
Massachusetts $73,800 to $168,000
Minnesota $73,800 to $157,800
New York $68,300 to $182,600
New Jersey $78,500 to $182,600
Washington $80,200 to $168,000
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