State of the nation: GenAI and AI agents in major MarTech platforms
A high-level read on where the major MarTech vendors stand on GenAI and AI agents at the close of 2025. For each, what shipped this year, what stands out competitively, and the strategic implications for marketing and MarTech leaders heading into 2026.

What a year it has been
2025 has been a busy year for MarTech leaders and enthusiasts. GenAI has already taken center stage in marketing tools and workflows, with AI agents at the bleeding edge, rapidly disrupting the landscape. For marketers, this presents both opportunities and challenges. Is it time to rethink the MarTech ecosystem? Where (and when) is the tipping point to switch from traditional campaign tools to an AI-augmented reality?
As the dynamic year of 2025 draws to a close, I wanted to take a moment to review where the major MarTech vendors stand regarding their GenAI and agent offerings, so we can share and enrich our perspectives from different vantage points.
Disclaimer
This is my high-level aggregation of information, based on public announcements, market signals, and a dash of my own interpretation. While every effort has been made to ensure accuracy, minor discrepancies may exist. I welcome debate, corrections, and new perspectives. This is meant to spark healthy conversations.
How to read this
The content below is structured for clarity and quick comparison:
- 2025 Highlights: key innovations introduced by each platform vendor this year
- Competitive Edge: what makes their platforms and ecosystems stand out strategically
- My Thoughts: strategic implications and considerations for marketing and MarTech leaders as the vendor space rapidly evolves
- Closing Remarks: high-level trends and strategic takeaways for decision-makers
Enterprise leaders
Adobe Experience Cloud
2025 Highlights
- Agent Orchestrator coordinates multiple specialized AI agents for automated segmentation and journey orchestration
- Firefly Foundry and Customer Models expand creative production options while maintaining brand consistency
- LLM Optimizer improves visibility in AI-powered interface platforms with GEO scoring (e.g., ChatGPT, Gemini)
Competitive Edge: Adobe pushes its advantages on two fronts, creativity powered by an expanded AI ecosystem, and marketer efficiency through tailored agentic solutions. While Adobe is a premium choice, its value for marketers, designers, and operators is being redefined in the new AI arms race.
My Thoughts
- Adobe is positioning itself as a leader in AI-driven brand discovery. The LLM Optimizer is a powerful move that will attract marketers and strategists who are thinking ahead.
- The high price and ecosystem commitment are significant hurdles. Some brands have had to refresh their strategies to maximize ROI. It is a sophisticated ecosystem that requires notable effort to leverage effectively.
Salesforce
2025 Highlights
- Marketing Cloud Next introduces dynamic orchestration via Flow
- Agentforce 360 connects marketing, sales, and service agents for full-funnel automation
- Prompt Builder and Campaign Designer enable natural language-driven multi-channel campaigns
- Paid Media Optimization and Lead Qualification agents autonomously manage ad spend and lead scoring
Competitive Edge: Agentforce 360 encapsulates a multi-functional agentic ecosystem, powered by Data 360 (formerly Data Cloud) as the intelligence engine. Partnerships with trusted AI providers like Anthropic Claude help Salesforce penetrate regulated verticals.
My Thoughts
- Salesforce has gained momentum as an AI agent leader in marketing and is aggressively expanding its ecosystem.
- Data 360 is expected to address persistent challenges with Data Cloud, but complexities remain around implementation and real-time activation. Good ROI is likely only when an organization fully commits to Salesforce's data and application ecosystem, which is a significant decision.
Oracle Marketing Cloud
2025 Highlights
- Role-based agents automate account fit analysis and buying group identification, ideal for B2B marketers
- Extended LLM support helps brands manage compatibility and flexibility, reducing concerns about vendor lock-in
- Customer agent development is supported through AI Agent Studio and Marketplace
Competitive Edge: Oracle offers strong fundamentals with reasonable flexibility, allowing marketers to innovate. Predictive optimization and solid governance are key strengths.
My Thoughts
- Oracle has a solid client base, especially in compliance-heavy sectors.
- Deep integration with backend systems is a sticky point, and complex B2B remains a strong advantage.
- It may not be flashy, but it is solid in its value proposition.
Mid-market player
HubSpot
2025 Highlights
- Breeze AI Agents deliver pre-built automation for content, social, and follow-ups
- Breeze Studio offers no-code customization of agent workflows
- Breeze Marketplace introduces an ecosystem for specialized agents
- Breeze Data Agent automates customer intelligence gathering
Competitive Edge: HubSpot remains a favorite for lean, focused marketing teams. Its new AI capabilities will keep it competitive, and its simplicity and no-frills approach will appeal to many.
My Thoughts
- HubSpot is well entrenched among SMB and B2B marketers, especially those focused on inbound marketing. Its AI offerings continue to meet their needs, enabling efficiency without heavy upfront investment or IT involvement.
Rising stars
Braze
2025 Highlights
- BrazeAI Decisioning Studio uses reinforcement learning for real-time personalization
- Agent Console enables customer agent development, and Operator introduces conversational orchestration
- Zero-copy Canvas Triggers activate campaigns directly from data warehouses
Competitive Edge: Braze's composable architecture and BYO-LLM add flexibility, empowering brands.
My Thoughts
- Braze has been a trailblazer, gaining traction among composable advocates. BYO-LLM is promising, but integration overhead and risk management may bring hidden costs. Braze has offered mitigation plans, so it will be interesting to see market response.
Hightouch
2025 Highlights
- AI Decisioning enables personalization from the warehouse data layer, leveraging native apps
- Agents Platform brings specialized agents to key marketing stages, especially creative marketing
Competitive Edge: Hightouch's truly composable, warehouse-native CDP continues to innovate with AI. For brands with strong cross-org leadership in marketing, data, and technology, Hightouch stands out.
My Thoughts
- With successful Series C funding, Hightouch has joined the $1B valuation club, competing with seasoned players. Its formula, warehouse native, challenging the core definition of CDP, has proven successful with major clients.
- Its AI offering will likely respond to core client needs rather than introduce unique value propositions.
Klaviyo
2025 Highlights
- K:AI embeds AI across marketing and service domains
- Marketing Agents autonomously plan and execute campaigns, while Customer Agent delivers personalization
- Predictive Toolkit adds CLV forecasting and churn modeling
Competitive Edge: Speed, simplicity, and a focused package make Klaviyo a solid choice, especially for consumer brands with e-commerce integration.
My Thoughts
- Klaviyo's proven capabilities and commerce-oriented offerings keep it attractive for lean marketing organizations.
- While its AI features may not steal the spotlight, Klaviyo continues to add value without disrupting its established formula.
Closing remarks
- I have shared my views on the upcoming post-web, post-search era, and was pleasantly surprised by Adobe's LLM Optimizer, a relatively quiet addition that reaffirms their leadership in innovation and future-proofing.
- Overall, there is no fundamental shift in each vendor's market strategy. The AI buzz is waning, and marketers are now calmly evaluating changes that, in my opinion, will not fundamentally alter the landscape.
- The AI adoption curve is accelerating. Mid-market and disruptor players are racing to deliver AI features and products to marketers, driving broader adoption (not necessarily by market share point of view, but through "democratization").
- Speed, adoption, and governance remain core drivers for enabling AI products and features. Your anticipated runway to value (or time to positive ROI) should account for non-technical factors like people, culture, workflow rigidity, and your business's structural characteristics.
My question to you: which platform stood out to you this year in terms of AI capabilities? What is your prediction for 2026?