25 Best AI Marketing Tools Reviewed in 2024
Best AI Marketing Tools Shortlist
Here’s my shortlist of the best AI marketing tools:
Our one-on-one guidance will help you find the perfect fit.
AI marketing tools are a valuable asset for any company. With the right software, teams can automate repetitive tasks and gain deeper insights from data analytics. But finding the right AI marketing tools can be a challenge, especially with so many options available.
Using my experience with marketing software, I tested and compared several of the top AI marketing tools available. From there, I compiled my results into in-depth reviews to help you find the best software for your unique needs. I’m confident that you’ll discover your next AI marketing tool in the list below.
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Best AI Marketing Tools Summary
This comparison chart summarizes pricing details for my top AI marketing software selections to help you find the best software for your budget and business needs.
| Tools | Price | |
|---|---|---|
| BuzzSumo | From $159/month (billed annually) | Website |
| MarketMuse | From $99/month (billed annually) | Website |
| Optimizely | Pricing upon request | Website |
| Marketo | From $895/month | Website |
| AdRoll | From $36/month | Website |
| Maximizer | From $65/month (billed annually) | Website |
| Hootsuite Insights | From $99/month (billed annually) | Website |
| CrawlQ | From $49/month | Website |
| Salesforce Pardot | From $1,250/month (billed anually) | Website |
| Jasper | From $49/month | Website |
Compare Software Specs Side by Side
Use our comparison chart to review and evaluate software specs side-by-side.
Compare SoftwareHow to Choose AI Marketing Tools
It’s easy to get bogged down in long feature lists and complex pricing structures. To help you stay focused as you work through your unique software selection process, here’s a checklist of factors to keep in mind:
| Factor | What to Consider |
| Scalability | Will this tool grow with your business? |
| Integrations | Does it integrate with your existing systems? |
| Customizability | Can you tailor the tool to fit your specific needs? |
| Ease of Use | Is your team comfortable using this tool? |
| Budget | Does it fit within your financial constraints? |
| Security Safeguards | Are your data and privacy protected? |
Best AI Marketing Tools Reviews
Below are my detailed summaries of the best AI marketing tools that made it onto my shortlist. My reviews offer a detailed look at the key features, pros & cons, integrations, and ideal use cases of each tool to help you find the best one for you.
BuzzSumo is a content research and media monitoring tool designed for marketers, PR professionals, and content creators. It helps users discover content ideas, track online trends, and identify influencers.
Why I picked BuzzSumo: It offers tailored features for content discovery and research, making it easy to find and analyze popular content. You can use BuzzSumo to monitor trends and mentions, identify key influencers, and automate reporting via APIs. The tool’s extensive content analyzer and real-time alerts ensure you stay updated and make informed decisions.
Standout features & integrations:
Features include access to a vast index of articles and social engagement data, insights into which content formats resonate with audiences, and tools for competitive benchmarking. You can also track historical data and monitor backlinks, receiving real-time alerts for new updates.
Integrations include Slack, Trello, Google Analytics, Twitter, Facebook, Hootsuite, Buffer, HubSpot, Mailchimp, and WordPress.
Pros and cons
Pros:
- Real-time data alerts
- Efficient influencer identification
- Advanced monitoring tools
Cons:
- No automated publishing feature
- Limited customization
MarketMuse is an AI-driven content planning and optimization platform designed for content strategists, marketers, and SEO specialists. It helps improve content strategy and search rankings by offering tools for content research, clustering, brief generation, and optimization.
Why I picked MarketMuse: MarketMuse provides a unique combination of competitive content analysis and content clustering, making it easier for your team to identify and focus on high-impact topics. The content brief generator saves you significant time by producing detailed and customizable briefs. Its optimization tools ensure your content is always performing at its best, helping you efficiently allocate resources and achieve quick results.
Standout features & integrations:
Features include competitive content analysis, content clustering, and a content brief generator. You can also benefit from its optimization tools that streamline the content planning process. MarketMuse's platform helps you prioritize content topics based on potential impact.
Integrations include HubSpot, WordPress, Google Analytics, SEMrush, Ahrefs, Google Docs, Slack, Trello, and Asana.
Pros and cons
Pros:
- Prioritizes high-impact topics
- Customizable content briefs
- Competitive content analysis
Cons:
- Limited third-party integrations
- Requires ongoing optimization
Optimizely is an all-in-one marketing operating system to enhance digital experiences through content orchestration, digital optimization, and experience-led commerce. Its main user base includes digital leaders and content creators, seeking measurable ROI and rapid product development.
Why I picked Optimizely: Optimizely manages content supply chains, personalizes customer interactions, and creates effective buying experiences. It offers flexible workflows and multi-format editors to streamline content production. You can also leverage AI to tag and organize assets. The platform simplifies testing with a no-code interface and dynamic traffic allocation to optimize results.
Standout features & integrations:
Features include collaboration tools with visual calendars and campaign workspaces, content creation with AI content generator, asset management using AI tagging, and omnichannel delivery for content across multiple platforms.
Integrations include Microsoft, Salesforce, Google Analytics, Adobe Analytics, Shopify, Adobe Commerce, Marketo, HubSpot, Slack, and Jira.
Pros and cons
Pros:
- AI-driven asset management
- Personalized interactions
- Efficient content processes
Cons:
- Difficult to implement across teams
- Learning curve for new users
Marketo is a marketing automation platform primarily used by B2B organizations to manage and execute cross-channel campaigns. It helps in lead management, account-based marketing, and personalized customer engagement.
Why I picked Marketo: Its account-based marketing allows you to target high-revenue accounts and specific individuals, perfect for closing larger deals. The platform's lead management organizes potential customers through the conversion funnel. Advanced analytics help track content effectiveness and customer journeys. Personalization tools enable delivery of tailored content based on real-time data.
Standout features & integrations:
Features include cross-channel marketing, personalized content delivery, and advanced analytics. Your team can also take advantage of AI-driven insights for better customer engagement and lead scoring. Another useful feature is the integration of marketing data into CRM systems for streamlined sales and marketing collaboration.
Integrations include Salesforce, Microsoft Dynamics 365, SAP, Oracle, Adobe Experience Manager, LinkedIn, Facebook, Google Ads, and Slack.
Pros and cons
Pros:
- Strong focus on lead nurturing
- Supports complex automation needs
- Highly customizable campaign workflows
Cons:
- Reporting setup is complex
- Customization can be time-consuming
AdRoll is a digital advertising platform for brands and agencies, serving businesses across various industries, including eCommerce, finance, non-profits, and hospitality. The platform enables users to run full-funnel ad campaigns through various channels such as display, video, social, and email marketing.
Why I picked AdRoll: AdRoll offers cross-channel optimization for marketing campaigns with features like retargeting, brand awareness, and audience targeting using first-party data. Marketing automation and analytics are integral, supporting various advertising channels such as social media and email marketing.
Standout features & integrations:
Features include retargeting, brand awareness, audience targeting using first-party data, marketing automation, and analytics. Your team can benefit from cross-channel optimization, managing ads across social media, email, and display. AdRoll also provides detailed performance analytics to ensure you’re getting the most out of your campaigns.
Integrations include Shopify, WooCommerce, Facebook, Instagram, TikTok, Pinterest, Adobe Commerce, BigCommerce, and Mailchimp.
Pros and cons
Pros:
- Detailed performance analytics
- Cross-channel optimization
- Full-funnel ad campaigns
Cons:
- Long setup and onboarding process
- Requires technical skills for setup
Maximizer is a CRM solution designed for sales teams and leaders to help them make data-driven decisions. It supports various business functions including lead and opportunity management, and customer relationship management.
Why I picked Maximizer: Maximizer offers detailed dashboards and AI-powered playbooks, which help you guide your sales team to success. You can manage your sales pipeline with ease and track progress with email automation and detailed contact storage. The CRM's deployment options, including both cloud and on-premise, give your team the flexibility to choose what fits best. Maximizer also ensures data security with encryption on the Microsoft Azure platform.
Standout features & integrations:
Features include detailed dashboards, AI-powered playbooks, and email automation. You can manage leads and opportunities efficiently and choose between cloud or on-premise deployment. The platform also ensures data security with encryption on the Microsoft Azure platform.
Integrations include Microsoft Outlook, QuickBooks, Microsoft Teams, Docusign, Calendly, and OpenAI.
Pros and cons
Pros:
- AI-powered playbooks
- Cloud and on-premise options
- Customizable CRM
Cons:
- Limited search functionality
- Limited mobile features
Hootsuite Insights is a social listening tool that helps businesses monitor and analyze online conversations about their brand. It serves marketing teams and social media managers by providing actionable insights into brand perception and audience sentiment.
Why I picked Hootsuite Insights: Hootsuite Insights offers advanced social listening capabilities, allowing you to track mentions and sentiment across multiple social platforms. You can filter data by demographics, location, and more to get a detailed picture of your audience. The tool also provides real-time alerts for critical mentions, helping you stay on top of important conversations. With its intuitive dashboard, your team can quickly understand and act on the gathered insights.
Standout features & integrations:
Features include advanced sentiment analysis, real-time alerts, and customizable dashboards. Your team can also leverage demographic and location-based filtering to refine insights. Additionally, the tool supports comprehensive reporting to help you measure the impact of your social media efforts.
Integrations include Brandwatch, Hootsuite Analytics, Hootsuite Streams, and Hootsuite Publisher.
Pros and cons
Pros:
- Demographic filtering
- Real-time alerts
- Customizable dashboards
Cons:
- Limited bulk-scheduling
- Complex setup process
CrawlQ is an AI-powered content creation platform tailored for startups, SaaS founders, and agencies. It helps businesses understand their audience and create resonant content through advanced market research and audience insights.
Why I picked CrawlQ: CrawlQ uses dynamic two-way retrieval augmented generation (RAG) to interact with your data and validate business ideas, making it easy to predict trends and make informed decisions. You can transform complex data into actionable strategies and generate engaging messages that connect with your audience. With its persona-based campaigns and AI assistants, CrawlQ tailors content to specific audiences without constant retraining.
Standout Features & Integrations:
Features include dynamic two-way RAG for data interaction, business idea validation tools, and growth analytics for trend prediction. You can also access AI assistants for various tasks and create persona-based campaigns to target specific audiences. CrawlQ integrates data sources like market research and social listening to enhance its insights.
Integrations include Google Analytics, Salesforce, Slack, HubSpot, Stripe, Mailchimp, Shopify, Zapier, WordPress, and Google Ads.
Pros and cons
Pros:
- Trillions of brand voice combinations
- Top AI language models included and no constant retraining
- Personalized campaigns
Cons:
- Complex for users without a marketing background
- Requires significant upfront research effort
Salesforce Pardot is a B2B marketing automation tool to enhance sales effectiveness and foster long-term customer relationships. It automates marketing tasks, allowing teams to focus on building customer connections and increasing revenue.
Why I picked Salesforce Pardot: It automates lead scoring and grading, enabling your sales team to prioritize high-converting prospects. Real-time alerts on prospect activity let you follow up promptly with tailored content while personalized outreach fosters dynamic campaigns that adapt to buying signals. You can also track the effectiveness of your campaigns with comprehensive performance monitoring tools.
Standout features & integrations:
Features include personalized email campaigns, lead scoring, and real-time alerts on prospect activity. Your team can also benefit from detailed analytics and performance monitoring, ensuring you can track the success of your campaigns. Audience segmentation allows for targeted marketing efforts, enhancing engagement.
Integrations include Salesforce Sales Cloud, Google Analytics, Google AdWords, LinkedIn, Wistia, Eventbrite, Unbounce, Twilio, Olark, and GoToWebinar.
Pros and cons
Pros:
- Personalized campaigns
- Audience segmentation
- Built-in Salesforce integration
Cons:
- Limited out-of-the-box integrations
- Learning curve
Jasper is an AI-driven marketing platform for enterprise teams to enhance content creation and campaign management. It primarily serves marketing professionals by providing tools for content generation, team collaboration, and performance tracking.
Why I picked Jasper: Jasper offers AI-assisted content creation, which helps your team generate high-quality content efficiently. It includes centralized knowledge management to keep everyone on the same page and analytics and insights for tracking performance. Jasper also provides over 50 templates to help jumpstart your projects and supports multiple languages for global reach.
Standout Features & Integrations:
Features include AI-assisted content creation, centralized knowledge management, over 50 templates, and multilingual support. You can also track performance with analytics and insights and integrate Jasper into your existing workflows with browser extensions and an API.
Integrations include Google Docs, Microsoft Word, WordPress, HubSpot, Grammarly, Surfer SEO, Copyscape, Shopify, and Facebook.
Pros and cons
Pros:
- Comprehensive marketing tools
- Significant time savings
- High-quality content generation
Cons:
- Limited customization
- Requires time to learn
Other AI Marketing Software
Here are some additional AI marketing tools options that didn’t make it onto my shortlist, but are still worth checking out:
- Emarsys
Best for omnichannel customer engagement
- TikTok
Best for short-form video content discovery
- Conversica
Best for AI-driven lead engagement
- Bloomreach
Best for personalized ecommerce experiences
- Drift
Best for conversational marketing bots
- CRM Creatio
Best for low-code CRM customization
- Brand24
Best for real-time brand monitoring
- Wrike
Best for project management for teams
- Google Analytics
Best for website traffic insights
- Campaigner
Best for email marketing automation
- Albert.ai
Best for AI-powered digital marketing
- HubSpot Marketing
Best for integrated marketing solutions
- Surfly
Best for SEO optimization tools
- Parse.ly
Best for content performance analytics
- Birdeye
Best for customer feedback collection
Related Reviews
If you still haven’t found what you’re looking for here, check out these other tools that we’ve tested and evaluated:
AI Marketing Tool Selection Criteria
When selecting the best AI marketing tools to include in this list, I considered common buyer needs and pain points like marketing effort and time and effort spent on manual tasks, generating useful insights and reporting data, and researching and targeting specific audiences. I also used the following framework to keep my evaluation structured and fair:
Core Functionality (25% of total weighting score)
To be considered for inclusion in this list, each solution had to fulfill these common use cases:
- Create and manage campaigns
- Analyze marketing performance
- Automate customer interactions
- Segment audiences
- Generate content
Additional Standout Features (25% of total weighting score)
To help further narrow down the competition, I also looked for unique features, such as:
- Predictive analytics for campaign outcomes
- Integration with CRM systems
- Personalization algorithms
- Multi-channel marketing capabilities
- AI-driven A/B testing
Usability (10% of total weighting score)
To get a sense of the usability of each system, I considered the following:
- Evaluate intuitive interface design
- Assess ease of navigation
- Check for availability of mobile apps
- Test the simplicity of performing complex tasks
- Measure the steepness of the learning curve
Onboarding (10% of total weighting score)
To evaluate the onboarding experience for each platform, I considered the following:
- Availability of step-by-step guides
- Access to training videos
- Presence of interactive product tours
- Support from chatbots or live agents
- Availability of templates and webinars
Customer Support (10% of total weighting score)
To assess each software provider’s customer support services, I considered the following:
- Availability of 24/7 support
- Access to a knowledge base
- Response time for inquiries
- Support through multiple channels (phone, chat, email)
- Quality of community forums
Value For Money (10% of total weighting score)
To evaluate the value for money of each platform, I considered the following:
- Comparison of pricing plans
- Availability of free trials
- Features included in entry-level plans
- Cost vs. feature set of mid-tier plans
- Long-term cost-effectiveness
Customer Reviews (10% of total weighting score)
To get a sense of overall customer satisfaction, I considered the following when reading customer reviews:
- General sentiment of reviews
- Commonly praised features
- Frequently mentioned issues
- Likelihood of customer recommendations
- Feedback on customer support experience
Trends In AI Marketing Tools
In my research, I sourced countless product updates, press releases, and release logs from different AI marketing tool vendors. Here are some of the emerging trends I’m keeping an eye on:
- Generative AI: This technology is advancing rapidly, allowing marketers to create rich content such as videos, images, and text. Some tools already have introduced new features that make content creation more efficient and tailored to specific marketing needs such as social media marketing.
- Autonomous AI Agents: These agents, such as AutoGPT and Microsoft Jarvis, can perform tasks independently, automating complex processes without human intervention. This trend is expanding the capabilities of marketing automation, making it more adaptive and intelligent.
- Causal AI: By focusing on cause-and-effect relationships, Causal AI helps marketers understand the real impact of their spending. This technology provides deeper insights into what drives performance, enabling more effective decision-making.
- Conversational AI: Enhancing customer interactions with more natural and relevant communication, Conversational AI is moving beyond simple chatbots. Examples include tools that offer personalized responses and improve user engagement, such as advanced versions of ChatGPT.
- Predictive Analytics: This feature is becoming essential for customer segmentation, lead scoring, and campaign optimization. Predictive analytics tools help marketers anticipate trends and behaviors, allowing for more precise targeting and improved ROI.
By leveraging these AI trends, companies can enhance their marketing efforts with smarter, more efficient tools. This can lead to improved customer engagement, increased ROI, and a more data-driven marketing strategy.
What Are AI Marketing Tools?
AI marketing tools are software solutions that use artificial intelligence to assist with various marketing tasks. These tools are typically used by marketers, digital marketing agencies, and business owners to improve the efficiency and effectiveness of their marketing strategies. They help users by automating repetitive tasks, analyzing large sets of data, and providing insights that can enhance decision-making. Features like predictive analytics, customer segmentation, and personalized content recommendations help with targeting the right audience, optimizing campaigns, and increasing engagement. Overall, these tools save time and provide valuable insights that can lead to better marketing outcomes.
Features of AI Marketing Tools
When selecting AI marketing tools, keep an eye out for the following key features:
- Predictive analytics: Provides data-driven insights to forecast customer behavior and campaign performance, allowing for more informed decision-making.
- Automated content generation: Creates high-quality content such as blog posts, social media updates, and emails, saving time and resources.
- Personalized recommendations: Delivers tailored product or generated content suggestions to users based on their behavior and preferences, enhancing engagement.
- Customer segmentation: Divides a customer base into distinct groups for more targeted marketing campaigns, increasing relevance and effectiveness.
- Sentiment analysis: Analyzes customer feedback from various sources to understand their sentiments and improve customer satisfaction.
- Real-time optimization: Adjusts marketing strategies and campaigns dynamically based on real-time data, maximizing effectiveness and ROI.
- Multichannel integration: Ensures smooth coordination across various marketing channels such as email, social media, and websites, providing a unified customer experience.
- Chatbots: Automates customer interactions and support with conversational AI, improving response times and customer service.
- SEO optimization: Enhances website and content visibility on search engines through AI-driven keyword and content analysis.
- Ad targeting: Uses AI to identify and target the most relevant audience segments for advertising campaigns, improving conversion rates.
Benefits of AI Marketing Tools
Implementing AI marketing tools provides several benefits for your team and your business. Here are a few you can look forward to:
- Improved ROI: AI-driven analytics help you make data-informed decisions, ensuring your marketing dollars are spent more effectively.
- Enhanced customer experience: Personalized content marketing and recommendations driven by AI algorithms and AI writing tools can significantly improve customer satisfaction.
- Efficient data processing: AI machine learning tools can analyze vast amounts of data quickly, providing insights that would take humans much longer to uncover.
- Targeted advertising: AI enables more precise ad targeting based on customer demographics and behavior, leading to better engagement and conversion rates.
- Predictive analytics: AI technology can forecast trends and consumer behavior, allowing you to stay ahead of the curve and adjust your strategies proactively.
- Automated tasks: Routine marketing tasks, such as email campaigns and copywriting for social media posts or landing pages, can be automated with an AI writing assistant and other powerful tools, freeing up time for your team to focus on strategic activities.
- Accurate performance measurement: AI tools provide detailed analytics and KPIs, allowing for a more accurate assessment of your marketing efforts' effectiveness on your target audience.
Costs and Pricing of AI Marketing Tools
Selecting AI marketing tools requires an understanding of the various pricing models and plans available. Costs vary based on features, team size, add-ons, and more. The table below summarizes common plans, their average prices, and typical features included in AI marketing tools solutions:
Plan Comparison Table for AI Marketing Tools
| Plan Type | Average Price | Common Features |
| Free Plan | $0 | Basic automation, limited user access, essential analytics, and basic support. |
| Personal Plan | $10-$30/user/month | Advanced automation, personalized recommendations, detailed analytics, and email support. |
| Business Plan | $50-$150/user/month | Comprehensive automation, multi-user access, enhanced analytics, custom reports, and priority support. |
| Enterprise Plan | $200-$500+/user/month | Full automation suite, unlimited users, advanced AI features, dedicated account management, and 24/7 support. |
AI Marketing Tools FAQs
Here are some answers to common questions about AI marketing tools:
What limits does AI in marketing have?
AI in marketing can be limited by data quality, privacy concerns, and the complexity of implementation. If your data is not clean or comprehensive, AI tools may produce inaccurate results. Privacy regulations like GDPR can also restrict how you handle data. Additionally, integrating AI into your marketing stack can be technically challenging and might require specialized skills.
How do I measure the success of an AI-driven marketing campaign?
To measure success, focus on key performance indicators (KPIs) relevant to your goals, such as conversion rates, customer acquisition costs, or engagement metrics. Use A/B testing to compare AI-driven campaigns with traditional ones. Regularly review metrics and adjust your strategies based on performance data to ensure continuous improvement.
What are some risks involved in using AI for marketing?
AI can pose risks like bias in decision-making, lack of transparency, and over-reliance on automation. Biases can arise from the data used to train AI models, leading to unfair targeting or exclusion. Lack of transparency can make it hard to explain AI decisions to stakeholders. Over-reliance on AI may result in neglecting the human touch essential for certain marketing activities.
How can AI be integrated with my current marketing stack?
AI can be integrated through APIs and by using platforms that support AI functionalities. Start by identifying areas where AI can add value, such as customer segmentation or predictive analytics. Ensure that your existing tools are compatible with AI solutions, and work with your IT team to integrate these technologies.
How do I address data privacy concerns when using AI in marketing?
Ensure compliance with data protection regulations like GDPR or CCPA. Implement data encryption, anonymization, and secure storage practices. Be transparent with customers about data usage and obtain their consent where necessary. Regularly audit your data practices to identify and mitigate any potential risks.
How can AI help with personalized marketing?
AI can analyze your customers’ behavior and preferences, helping you tailor marketing campaigns to individual needs. This includes crafting personalized content, optimizing product recommendations, and even adjusting email timing to improve engagement.
What’s Next?
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