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Average price: 38 products listed
38 Listings in Marketing AI Available
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$7.5–$545/mo
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22 tools
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What is Braze Sage AI? Braze Sage AI is the set of AI and machine learning capabilities built into the Braze customer engagement platform, announced on June 27, 2023. Braze now markets these under the BrazeAI name, including BrazeAI Decisioning Studio and BrazeAI Agents. Key capabilities of Braze Sage AI AI Recommendation Engine: matches Braze Catalog items to customers most likely to buy AI Content QA: checks tone, structure and grammar before sending Query and segment building: natural-language prompts into reports and segments Personalized Paths: matches each customer with the right message, channel and offer in Canvas Tone Control: sets tone for AI-generated copy in the AI Copywriting Assistant BrazeAI Decisioning Studio: 1:1 personalization at scale How Braze Sage AI works The AI features run on Braze's data and messaging stack. Marketers use them in Canvas and the copywriting assistant, and generative parts were launched using OpenAI GPT models. BrazeAI Agents are described as always-on agents for engagement across email, mobile, web, SMS/RCS and WhatsApp. Who uses Braze Sage AI? Marketing and lifecycle teams that already use Braze to message customers across channels. Braze Sage AI pricing Braze does not publish pricing, and its site directs buyers to a pricing page and sales. Sage AI features are part of the Braze platform rather than a stand-alone price. Braze Sage AI alternatives Dynamic Yield personalizes web and commerce experiences, Smartly automates paid social creative, and Seventh Sense optimizes email send times. Braze Sage AI works inside the Braze engagement platform.
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What is Charles? Charles is a WhatsApp commerce AI agent offering a conversational commerce platform for WhatsApp marketing, sales and AI shopping assistants. Founded in 2019 and based in Berlin, Germany, Charles helps D2C brands in Europe automate WhatsApp commerce work and get results faster. Key capabilities of Charles WhatsApp campaigns AI shopping assistant Journeys and automations Shopify integration Broadcast campaigns Shared inbox How Charles works Charles takes text as input and produces text and rich media. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, Instagram, Facebook Messenger and Shopify, so the agent works inside existing workflows. Who uses Charles? Charles is built for D2C brands in Europe. It suits teams that want WhatsApp campaigns and AI shopping assistant without adding headcount, while keeping people in control of review and final decisions. Charles vs Superchat Charles is often compared with Superchat. Charles stands out for WhatsApp campaigns and journeys and automations. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Ryze AI? Ryze AI is an ad management AI agent offering an AI agent that audits and optimizes Google and Meta ad accounts with automated recommendations. Ryze AI helps advertisers and agencies automate ad management work and get results faster. Key capabilities of Ryze AI Account audits Bid and budget changes Search term pruning Performance reports Automated ad rules Creative performance insights How Ryze AI works Ryze AI takes data as input and produces actions and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Meta Ads, Google Ads, TikTok Ads and Shopify, so the agent works inside existing workflows. Who uses Ryze AI? Ryze AI is built for advertisers and agencies. It suits teams that want account audits and bid and budget changes without adding headcount, while keeping people in control of review and final decisions. Ryze AI vs Optmyzr Ryze AI is often compared with Optmyzr. Ryze AI stands out for account audits and search term pruning. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Moloco? Moloco is an AI-powered advertising platform that automates real-time decisions in digital advertising. It operates two products: Moloco Ads for performance marketers and Moloco Commerce Media for retailers and marketplaces. The company was founded in 2013. Key capabilities of Moloco Moloco Ads: acquire and retain customers across 2.9 million independent apps and connected TVs Outcome optimization: campaigns optimized for ROAS and LTV Moloco Commerce Media: retailers and marketplaces build ad businesses on their own properties CARA architecture: Compound Ad Recommendation Architecture coordinating models, agents and software Global reach: 2 billion+ daily active users in 230 countries and territories Purchase-intent targeting: connects advertisers with shoppers at intent moments How Moloco works Moloco's CARA system coordinates machine learning models, agents and specialized software across ad decisioning, bidding and optimization in real time. Advertisers set outcome goals such as return on ad spend or lifetime value, and the system buys inventory to meet them. Retailers deploy Commerce Media on their own sites and apps to sell ad placements. Who uses Moloco? Customers named by Moloco include Costco, TikTok, Pinterest, Revolut, Electronic Arts, Wayfair, King Digital and Scopely. Mobile app marketers use Ads, and retail and marketplace operators use Commerce Media, which lists 97,000+ advertisers. Moloco pricing Moloco Ads uses performance-based pricing. Moloco Commerce Media uses customized commercial structures negotiated with each retailer. No public price list is published. Moloco alternatives Alternatives include AppLovin and Unity for mobile advertising, Liftoff for app growth, and Criteo or Amazon Ads for retail media.
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What is Adobe GenStudio? Adobe GenStudio for Performance Marketing is a generative AI-first application that helps marketing teams scale content creation, engage customers and measure campaign performance. It is sold as an enterprise product by Adobe. Key capabilities of Adobe GenStudio AI content generation: Copy, images and, as announced, video using fine-tuned models and Firefly Brand checks: AI checks enforce tone of voice and channel requirements Approval workflows: Adobe Workfront review and approvals inside the app Experimentation and insights: Test copy and visuals and review performance Channel activation: Connects to Meta, Google Campaign Manager, Microsoft Advertising, TikTok and Snap Adobe stack integration: Works with Experience Manager Assets, Express and Journey Optimizer How Adobe GenStudio works Marketers set brand guidelines, then generate copy and imagery for ad and email variants using AI models, including Adobe Firefly. Generated content is checked against the brand rules and routed for approval in Workfront before publishing to channels, and performance insights feed back into new variants. Who uses Adobe GenStudio? GenStudio is built for enterprise marketing and creative operations teams running high volumes of channel-specific content, especially those already using Adobe Experience Cloud tools. Adobe GenStudio pricing Adobe does not publish standard prices for GenStudio for Performance Marketing; pricing depends on enterprise needs, usage and licensing. Per third-party listings, a base license includes up to 10 Power Users, 20 Collaborator Users, 5 brands, 2 TB storage, 60,000 generative actions per year and 25 million rows of insights data. Adobe GenStudio alternatives Alternatives include Vidmob and CreativeX, which analyze creative performance and brand compliance, Amperity for customer data, and Dynamic Yield for personalization. GenStudio focuses on generating and approving on-brand content.
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What is Mutinex? Mutinex is an agentic Commercial Mix Modeling platform that helps marketing leaders measure, predict and act on revenue decisions without the cost and delay of traditional marketing mix modeling. Its products are DataOS, GrowthOS and MAITE. Key capabilities of Mutinex DataOS: connects and structures disparate data sources for marketing analysis GrowthOS: granular insights for marketing decisions GrowthOS On-Demand: production-ready models in under 24 hours MAITE: AI consultant giving instant analysis and recommendations Contribution measurement: see what marketing drives Budget optimization: defend and reallocate spend How Mutinex works DataOS ingests marketing and commercial data, GrowthOS builds production-grade models, and MAITE answers questions and recommends actions. The vendor says this removes the need for consultants or data engineering teams. Who uses Mutinex? Marketing and finance leaders. Mutinex serves 100+ global brands managing $13B+ in commercial decisions, including Samsung, Hershey's, Optus, Asahi Beverages, Domino's and One NZ. Mutinex pricing Mutinex does not show prices on its homepage. Mutinex alternatives Lifesight also offers marketing measurement, CreativeX and Vidmob analyze creative performance, and Albert AI and AdCreative.ai automate campaigns and ads. Mutinex centers on mix modeling.
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What is CreativeX? CreativeX is a creative quality measurement AI agent offering software that measures creative quality and brand consistency of ads across markets and platforms. Founded in 2015 and based in New York, New York, USA, CreativeX helps multinational brands automate creative quality measurement work and get results faster. Key capabilities of CreativeX Creative quality scoring Brand consistency Platform best practices Global benchmarks Creative scoring Cross-platform benchmarks How CreativeX works CreativeX takes image and video as input and produces scores and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Meta Ads, Google Ads, TikTok Ads and YouTube, so the agent works inside existing workflows. Who uses CreativeX? CreativeX is built for multinational brands. It suits teams that want creative quality scoring and brand consistency without adding headcount, while keeping people in control of review and final decisions. CreativeX vs Vidmob CreativeX is often compared with Vidmob. CreativeX stands out for creative quality scoring and platform best practices. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Crayon Data? Crayon Data is a Singapore-based provider of AI-led revenue acceleration for enterprises, with a presence in India and the UAE. Its platform maya.ai analyzes consumer behavior and transactions to power personalized recommendations. Key capabilities of Crayon Data Data as a Service: One of four maya.ai service layers Recommendation as a Service: Personalized product and content recommendations Customer Experience as a Service: Delivers recommendations across digital channels Marketplace as a Service: Supports marketplace and rewards offers Transaction analysis: Uses behavior, preferences and transaction history How Crayon Data works maya.ai ingests customer behavior and transaction data, generates recommendations, and delivers them through digital channels. Its four services (Data, Recommendation, Customer Experience and Marketplace) can run separately or together. Who uses Crayon Data? Banks, fintechs and travel businesses. Third-party sources report 53M+ customers onboarded, an $80B portfolio managed and 3B+ transactions processed. Crayon Data pricing Crayon Data does not publish pricing. Engagements are enterprise quotes. Crayon Data alternatives Alternatives include Persado for AI marketing language, Movable Ink for personalized content, and Albert AI for autonomous marketing.
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What is GoDaddy Airo? GoDaddy Airo is GoDaddy's AI assistant for small businesses that generates a website, logo, social content, email and other launch assets from a business idea. It is included with any new GoDaddy domain purchase, and the domain itself is paid. Key capabilities of GoDaddy Airo AI website builder: Multi-page sites with generated structure, copy and imagery Logo creation: Generate a logo from the business idea Social posts: Create social content for the brand Email marketing: Generate email campaigns AI SEO tools: Tools to improve search visibility Online stores and booking: Ecommerce setup and appointment scheduling sites How GoDaddy Airo works You describe your business and Airo produces a brand kit, a website with copy and images, and marketing content you can edit before publishing. Usage is metered in AI credits on the AI Builder plans. Who uses GoDaddy Airo? Airo is aimed at new small business owners and solo entrepreneurs who want a domain, site and marketing assets without hiring a designer. GoDaddy Airo pricing Airo comes with a new GoDaddy domain purchase. Third-party reviews report website plans at Basic $9.99, Premium $14.99 and Commerce $20.99 per month on annual billing, and AI Builder plans from a free tier with 50 credits up to Ultimate at $99.99 per month. GoDaddy Airo alternatives Alternatives include Braze Sage AI and Dynamic Yield for marketing personalization, and Amperity for customer data. For site building, Airo competes with other AI site builders.
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What is Tofu? Tofu is an ABM content AI AI agent offering an AI platform that generates personalized campaign content for every account and channel. Founded in 2023 and based in San Francisco, California, USA, Tofu helps B2B marketing teams automate ABM content AI work and get results faster. Key capabilities of Tofu Personalized landing pages 1:1 email and ads Brand context library Campaign repurposing CRM sync Signal-based workflows How Tofu works Tofu takes text and account data as input and produces web pages and text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Clay, so the agent works inside existing workflows. Who uses Tofu? Tofu is built for B2B marketing teams. It suits teams that want personalized landing pages and 1:1 email and ads without adding headcount, while keeping people in control of review and final decisions. Tofu vs Mutiny Tofu is often compared with Mutiny. Tofu stands out for personalized landing pages and brand context library. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Copy.ai? Copy.ai is a GTM AI AI agent offering a GTM AI platform with agents and workflows for marketing, sales and operations content. Founded in 2020 and based in San Francisco, California, USA, Copy.ai helps marketing and sales teams automate GTM AI work and get results faster. Key capabilities of Copy.ai GTM workflows AI agents Brand voice Content repurposing Brand voice controls Performance insights How Copy.ai works Copy.ai takes text as input and produces text. It is powered by Multiple LLMs (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as HubSpot, Salesforce, Google Ads and Meta Ads, so the agent works inside existing workflows. Who uses Copy.ai? Copy.ai is built for marketing and sales teams. It suits teams that want GTM workflows and AI agents without adding headcount, while keeping people in control of review and final decisions. Copy.ai vs Jasper Copy.ai is often compared with Jasper. Copy.ai stands out for GTM workflows and brand voice. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Vendelux? Vendelux is an event intelligence AI agent offering an AI event intelligence platform that predicts event attendees and helps teams choose and work the right events. Vendelux helps event marketing and sales teams automate event intelligence work and get results faster. Key capabilities of Vendelux Attendee predictions Event ROI insights Prospect lists Event calendar planning Account research CRM enrichment How Vendelux works Vendelux takes data as input and produces insights and lists. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Google Sheets, so the agent works inside existing workflows. Who uses Vendelux? Vendelux is built for event marketing and sales teams. It suits teams that want attendee predictions and event ROI insights without adding headcount, while keeping people in control of review and final decisions. Vendelux vs Swapcard Vendelux is often compared with Swapcard. Vendelux stands out for attendee predictions and prospect lists. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Marketing AI applies machine learning and generative models across the marketing stack, content, campaigns, personalization, ads, and analytics, to work faster and target smarter. This guide explains what marketing AI is, how it works, what matters, and how to choose a platform.
Marketing AI applies machine learning and generative models across the marketing stack, content, campaigns, personalization, ads, and analytics, to work faster and target smarter. This guide explains what marketing AI is, how it works, what matters, and how to choose a platform.
Marketing AI is a broad category of tools that use AI to plan, create, optimize, and measure marketing. It spans generative content, audience segmentation and personalization, predictive analytics, ad optimization, and AI assistants embedded in marketing platforms.
Tech stacks
See where marketing ai fits in a complete stack, with the other software, AI agents and services each business needs.
Rather than a single product, it's a capability layer: some tools are standalone (AI ad optimizers, personalization engines), while others are AI features inside CRMs, CDPs, email, and marketing-automation platforms.
The category is shifting from point AI features toward agentic marketing, systems that can plan campaigns, generate assets, target audiences, and optimize spend with human oversight. Buyers weigh measurable lift, data quality, privacy, and integration with their existing stack.
Marketing AI ingests customer and campaign data, then applies models to segment audiences, predict behavior (churn, conversion, lifetime value), generate creative, and optimize targeting and spend, surfacing recommendations or acting automatically within set rules.
Platforms combine data integration (CRM, CDP, web, ad platforms), predictive and generative models, and activation across channels (email, ads, web, social), plus analytics that attribute results.
Marketers connect data sources, define goals and guardrails, review AI recommendations or let the system optimize automatically, and measure lift against controls to refine over time.
AI identifies high-value segments and lookalikes and predicts who is most likely to convert or churn.
Tailor content, offers, and timing to individuals across email, web, and ads to lift engagement and conversion.
Produce on-brand copy, images, and ad variants quickly for testing and personalization at scale.
Forecast conversion, lifetime value, and churn to focus spend and effort where it pays off.
Automatically test and allocate budget and creative to the best-performing combinations.
Measure what drives results across channels so teams invest in what works.
Smarter targeting and optimization focus spend on the audiences and creative that convert.
Deliver relevant experiences to many segments and individuals without manual effort.
Generative creation and automated optimization compress campaign cycles.
Predictive insight and attribution show where to invest for the most impact.
Automating routine creation and optimization lets teams focus on strategy and brand.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Generative marketing tools | Content, creative, and ad variants | Any | Fast, scalable creation | Needs brand control and review |
| Personalization & CDP AI | 1:1 experiences across channels | Mid-market to enterprise | Lifts engagement and conversion | Data quality and integration heavy |
| Predictive & analytics AI | Churn, LTV, conversion forecasting | SMB to enterprise | Focuses spend and effort | Requires clean historical data |
| Ad & campaign optimizers | Automated bidding and creative testing | Any | Improves ROAS hands-off | Less transparent black-box logic |
Technology: Technology marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Healthcare: Healthcare marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Financial Services: Financial Services marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Retail & E-commerce: Retail & E-commerce marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Education: Education marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Professional Services: Professional Services marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Manufacturing: Manufacturing marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Media: Media marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Look for evidence of real improvement (against controls) on the metric you care about, not just feature lists.
Confirm it connects to your CRM, CDP, ad platforms, and channels and works with your data quality.
Verify consent handling, data governance, and compliance (GDPR/CCPA), essential for customer data.
For automated optimization, check how much control and visibility you retain over decisions and spend.
For generative tools, confirm brand-voice controls and review workflows.
Understand pricing and model expected ROI against your channel mix and volume.
Marketing AI is consolidating into agentic systems that plan, create, target, and optimize campaigns with human oversight.
Privacy-first AI and first-party data strategies are becoming central as third-party signals fade.
Real-time personalization is extending across every channel and touchpoint.
Buyers should prioritize measurable lift, strong data integration and privacy, brand and decision control, and transparent governance.
Marketing AI is the application of machine learning and generative models across marketing, segmentation and personalization, content and creative generation, predictive analytics, ad and campaign optimization, and AI assistants inside marketing platforms. It's a capability layer that helps teams work faster, target smarter, and measure impact, available both as standalone tools and as features within CRMs, CDPs, and automation platforms.
By targeting the audiences most likely to convert, personalizing experiences, generating and testing creative quickly, and automatically optimizing spend toward what works, AI focuses effort where it pays off. Realized ROI depends on your data quality, channel mix, and disciplined measurement against control groups, insist on evidence of incremental lift, not just activity.
It shifts the work rather than replacing it. AI automates routine creation, targeting, and optimization, while marketers focus on strategy, brand, creativity, and judgment. The strongest results come from marketers directing AI and reviewing its output rather than handing over control entirely.
It can be, but you're responsible for compliance. Choose tools with strong consent management, data governance, and GDPR/CCPA support, and favor first-party data strategies. Confirm how customer data is used and whether it trains shared models before adopting, since marketing AI handles sensitive personal data.
Predictive and personalization features generally need sufficient, clean historical and customer data to work well, while generative content tools need much less. Assess your data readiness, quality, volume, and integration, because poor data limits results regardless of the model.
Marketing automation executes predefined rules and workflows (send this email when X happens). Marketing AI adds intelligence on top, predicting behavior, personalizing dynamically, generating creative, and optimizing decisions, and increasingly acts more autonomously. Many platforms now combine both.
Pricing varies widely: per-seat, usage-based (credits, contacts, or spend managed), or as add-ons within larger platforms. Map the specific capabilities you need to your volume and channel mix, and model expected ROI to compare true cost.
Prioritize evidence of measurable lift, integration with your CRM/CDP/ad stack and data quality, privacy and compliance, control and transparency over automated decisions, brand safety for generative output, and pricing tied to ROI. Pilot with clear success metrics and a control group before scaling.
