Boston, MA - Enterprise MarTech buyers now face three quite different kinds of AI suppliers: established suite vendors adding AI to their platforms, specialist players focused on particular marketing flows, and horizontal AI platforms that customers must configure themselves, according to newly-updated vendor evaluation research from analyst firm Real Story Group (RSG).

RSG's research evaluates 14 vendor offerings against ten key marketing scenarios, including: brand-safe content supply chain, audience intelligence, market and customer insight synthesis, predictive customer analytics, lifecycle marketing automation, paid media optimization, and agentic campaign orchestration.

The technology has evolved considerably since RSG's previous evaluation cycle, particularly for internal processes around content production, research, analysis, and workflow assistance.  On the whole, vendors have evolved from feature-point solutions to more case-driven solutions, but almost uniformly fail to deliver end-to-end value without significant and costly enterprise stitching.

"Generating acceptable copy is becoming routine," said Apoorv Durga, RSG vice president of research and advisory. "The problems show up when you connect these tools to customer data and campaign systems. Buyers need to see who can approve an action, what gets logged, and how the system can be stopped or rolled back."

RSG's evaluations organize the market into three categories:

• Suite-Native AI: AI sits inside a broader marketing, CRM, customer engagement, or DXP suite.
• Specialist Marketing AI: products are built for specific use cases, such as content, creative production, language optimization, enrichment, and GTM workflows.
• Enterprise AI Platforms: horizontal workbenches, model platforms, and developer services that marketing teams configure around their own stack.

RSG found plenty of products that can automate steps around Generative AI: briefs, copy, enrichment, and internal workflow. Claims of Decisioning AI and Agentic campaign orchestration merit close scrutiny. Few vendors can show the controls an enterprise needs to give a platform meaningful campaign authority, including explicit permissions, approval gates, usable audit records, rollback, connector governance, and spending limits.

"Vendors are eager to call every workflow an agent," said Scott Simmons, Principal Analyst at Real Story Group. "Our testing found a large gap between automating a few steps and handing a system meaningful campaign authority. Buyers should test that gap against their own approval rules, connectors, and budgets."

The updated research adds strategic considerations for responsibility, value for money, and composable-stack friendliness. Pricing deserves particular attention. Vendors increasingly mix seat charges with credits, tokens, actions, connectors, model usage, add-ons, or implementation services. Buyers may find that a plausible pilot still leaves them with little idea what steady production use will cost.

The AI for Marketing evaluation stream is available to RSG corporate members.