Name an AI use case, and there’s probably a tool for it.
The AI marketing landscape is getting more crowded by the day, with platforms emerging for search and personalization, account intelligence, campaign optimization, you name it.
The opportunity isn’t to adopt every shiny new tool. It’s to understand what’s possible and identify the technologies that have the potential to disrupt your day-to-day operations.
Below are 23 AI-powered platforms worth knowing about.
Disclaimer: We’re featuring these platforms because they’re all MAICON (Marketing AI Conference) sponsors. But we also chose them because they represent some of the interesting ways AI is changing what’s possible in marketing. If any of these interest you, they will be onsite at MAICON in the expo hall to talk to you about your work, challenges, and opportunities.
What’s Interesting: Acquia is ideal for organizations with a large, complex web presence (think multiple websites and brands spanning teams and territories). Its architecture is API-first and totally composable, meaning you can integrate it with the tools in your existing stack. And that goes beyond just your CMS; this tool can bring together SEO, governance, digital asset management, and more.
What’s Interesting: ActiveCampaign is taking “AI can write that for you” to a whole new level. Its AI agents can build campaigns, suggest segments, create automations, personalize content, analyze performance, and recommend next steps.
What’s Interesting: CallRail just announced a major expansion of Voice Assist, adding real-time lead qualification and intelligent call transfers. Meaning AI can identify caller intent, qualify the lead, and route the call to the right person.
What’s Interesting: Ranking on Google isn’t the whole search game anymore. Conductor helps brands understand whether they’re showing up in AI-generated answers.
What’s Interesting: In April 2026, Demandbase launched Demandbase AI, repositioning the platform around an AI-first interface for orchestrating GTM execution. It added features like a Site Customization Agent, LLM integrations with ChatGPT and Claude, and new pipeline-influence capabilities.
What’s Interesting: It uses AI to decide what’s working and what’s not, and dynamically change the experience itself based on visitor intent and context.
What’s Interesting: GEO Vibe represents one of the biggest shifts happening in search right now: the goal is no longer just to rank on Google; it’s to get mentioned, recommended, and cited by AI.
What’s Interesting: Google Cloud is particularly interesting because it moves AI beyond the chatbot and into actual business infrastructure. Its platform can connect AI to a company’s data, applications, and workflows, and its latest push toward AI agents is designed to let those agents handle increasingly complex, multi-step tasks.
What’s Interesting: Rather than requiring companies to build another centralized marketing database, Hightouch can work directly with data in their existing warehouse, such as Snowflake.
What’s Interesting: The big distinction is execution across the whole marketing stack. Rather than being an AI assistant that helps you think or a point solution that handles one task, KEN-E is designed to sit above tools like Google, Meta, HubSpot, and Mailchimp, coordinating work across them with human review.
What’s Interesting: LeanData makes sure those leads are matched to the right accounts, assigned according to territory and business rules, and handed off without losing context.
What’s Interesting: Traditional event-photo platforms give everyone one giant gallery. Memento uses AI to identify attendees and create individual private galleries automatically, then adds engagement and sharing analytics for event organizers.
What’s Interesting: It’s more than a chatbot. Navu answers visitor questions, guides them to the right content, captures intent, and can take actions to drive conversion.
What’s Interesting: Most marketing dashboards tell you what happened. NinjaCat’s AI agents are designed to identify what needs attention, recommend or automate next steps, and help teams act across accounts.
What’s Interesting: Its AI layer can build custom dashboards, account lists, reports, and campaign workflows from plain-language prompts, so it’s not just identifying target accounts; it’s helping marketers act on the data.
What’s Interesting: We like that the platform connects content, experimentation, personalization, analytics, and AI so marketers can actually determine what works, rather than simply producing more content.
What’s Interesting: Pantheon recently introduced its vision for Agentic Fleet Management, with new and forthcoming capabilities designed to make an organization’s collection of websites visible and actionable to AI agents — an interesting step toward AI not just creating website content, but helping manage and operate the web infrastructure itself.
What’s Interesting: Progress is leaning heavily into agentic AI that works inside existing marketing workflows, rather than simply adding a chatbot to a CMS. Its new Sitefinity AI agents can help with content optimization, analysis, and editorial workflows.
What’s Interesting: ENSOR goes beyond generating ad creative. It incorporates brand guidelines, advertising and CRM data, performance analysis, and a memory system that learns from past decisions and results, enabling it to reuse institutional knowledge and improve future creative and marketing decisions.
What’s Interesting: Siteimprove makes digital content accessible to people, discoverable by AI, and accountable to business results.
What’s Interesting: SOCi is a great example of the shift from AI that assists marketers to AI that actually executes marketing work. Its “Genius Agents” are trained on a brand’s guidelines, workflows, and local context, then monitor what’s happening across locations and take action.
What’s Interesting: Webflow is moving beyond “build a website without code” toward “manage your entire web presence with AI.” Its AI capabilities can generate content and CMS items, improve SEO and AEO, and generate code components.
What’s Interesting: The next step after asking AI to do a task? Giving it an entire workflow. WRITER gives the controls, permissions, guardrails, and visibility to confidently delegate multi-step, complex jobs.
The most intriguing AI tools aren’t just helping us do existing jobs faster. They are augmenting our capabilities and expanding what’s possible, allowing marketers to view their roles in a new light.
And we’re just getting started.
Reading about AI marketing tools is one thing. Seeing what they can actually do is another.
All of the platforms featured above will be at MAICON, where marketers can get live demos, hear from AI practitioners, and explore how organizations are putting AI to work across the marketing function.