Content & AEO Editorial Program
An answer-first content strategy that emphasizes semantic structure, consensus, and information gain to secure citations in AI Overviews, ChatGPT, and Perplexity.
Answer-First Content Patterns
Each solution page includes a structured FAQ section addressing the top 5–10 questions procurement professionals ask about that solution category. Implemented with FAQPage schema for direct AI extraction.
Dedicated comparison pages (e.g., Manhattan WMS vs SAP EWM) provide direct, structured answers to evaluation-stage queries and are highly cited by AI systems.
All factual claims accompanied by citations to primary sources. Models the citation behavior of AI systems and increases likelihood of being selected as a source.
For each key term in Manhattan's domain, provide a clear authoritative definition at the top of the relevant page. AI systems frequently extract these for featured snippets and AI Overviews.
RFP Written Responses
Our philosophy is rooted in Entity Authority and Answer-First Utility. Traditional SEO — chasing keyword rankings and blue links — is insufficient for the modern B2B procurement journey. Instead, we focus on establishing Manhattan Associates as the definitive, machine-readable entity for supply chain and omnichannel commerce. This means building a flawless technical foundation that bots can crawl without friction, deploying comprehensive structured data to define relationships between products and the organization, and crafting content that directly answers the complex questions asked by procurement professionals and AI agents alike. The emergence of Google's MCP, A2A, UCP, A2UI, and AG-UI protocols makes this philosophy not just strategically sound but operationally urgent.
We begin with a comprehensive gap analysis, utilizing tools like Screaming Frog — which already revealed significant fragmentation, including 2,200+ missing title tags and over 1,100 404 errors in the /docs/ folder. We map the disparate regional and local SEO efforts against the overarching North American enterprise goals. We do not discard the successful local SEO work; instead, we integrate it into a unified taxonomy through shared templates, standardized schema architecture, and cross-functional training on answer-first content creation.
We operate as a strategic partner, not just a consultant. We minimize the burden on internal teams by delivering ready-to-execute assets. For technical SEO, we provide prioritized, developer-friendly tickets with clear acceptance criteria, estimated implementation time, and expected impact. For content, we provide fully drafted, AEO-optimized pages, FAQ blocks, and schema markup that integrate seamlessly with the existing marketing content strategy. We prioritize high-impact, low-effort initiatives first to build momentum.
The biggest obstacle is the current technical debt and content fragmentation — specifically, the high volume of non-indexable pages, missing metadata, and thin content across the site. However, this is simultaneously the greatest opportunity. The technical issues are well-defined and addressable; resolving them will produce measurable, rapid improvements in organic visibility. I am most excited about the AI protocol opportunity. As a leader in supply chain technology — with products like Manhattan Agent Foundry™ that are built on the very protocols (MCP, A2A) reshaping search — Manhattan is uniquely positioned to not just optimize for these protocols, but to authoritatively speak on how its software enables agentic commerce for clients.