Customer engagement has become one of the biggest factors that determine whether a brand succeeds or struggles. Today’s customers expect faster replies, personalized experiences, and content that speaks directly to their needs. Because of this growing demand, many brands and creators are turning to technology for help by using AI customer engagement tools.
AI has since moved away from supporting only content creation; it now helps brands connect with their audience in smarter and more meaningful ways. With AI-powered tools for engaging audiences, businesses can respond quicker, understand customer moods, track performance, and even predict what type of content will work best. These tools are helping brands build stronger relationships and give customers the attention they expect.
In this guide, we will break down how AI engagement tools work, the different categories they fall into, and the top AI engagement tools for social media that creators and businesses can start using today.
Why customer engagement matters to brands
Customer engagement has become more important than ever because the way people interact with brands has completely changed. In the past, communication was mostly one-way; brands would talk, and customers simply listened. Today, customers expect a two-way conversation where their voices, opinions, and needs matter. They want brands to respond quickly, listen actively, and build real relationships instead of just selling products.
Another major factor is speed. Customers now expect instant replies, fast support, and smooth communication. If a brand takes too long to respond, customers easily lose interest and move on to a competitor. This has made quick responses and personalized experiences essential for keeping customers happy. Companies that embrace modern tools like AI deliver better customer experiences, while those that don’t quickly fall behind.
How businesses can use AI for customer engagement
Digital platforms have changed what customers expect, making convenience, personalization, and instant updates the new standard. Because of this shift, businesses must engage smarter, faster, and more consistently. Thankfully, there are a number of ways brands can leverage AI to improve customer engagement:
1. Automate customer support with AI chatbots
AI chatbots let companies handle common customer questions automatically like order tracking, FAQs, store hours, or basic support without needing a human agent for every interaction. This gives customers instant responses, any time of day, which greatly improves satisfaction.
Chatbots scale easily as they can manage many conversations at once, so businesses aren’t overwhelmed when demand spikes. Also, using AI for support reduces cost, because fewer human agents are needed for simple tasks. For businesses and creators, this means they can offer 24/7 support and maintain engagement even outside business hours which is a big plus for global or online audiences.
2. Provide personalized experiences
AI customer engagement tools can analyze customer data such as past purchases, browsing history, and preferences to offer personalized product recommendations, tailored messages, or content that matches what each customer likes.
This personalization helps customers feel seen and understood. When customers receive suggestions or messages that match their tastes, they are more likely to engage, return, and build loyalty. For creators and brands, using AI to deliver this kind of personalized experience can make interactions more meaningful and boost long-term engagement.
3. Manage communication across multiple channels
Customers today interact with brands via websites, social media, messaging apps, or mobile and expect smooth communication everywhere. AI tools let brands connect with customers across all channels without losing track. For instance, AI chatbots or AI-powered assistants can be embedded on websites, apps, or social media messaging platforms.
This consistent, cross-channel presence powered by AI ensures that regardless of how a customer chooses to reach out, they get a quick, coherent response. For creators or businesses managing many platforms, this makes customer engagement far more efficient and unified.
4. Analyze customer sentiment and behavior
Another use case of AI engagement tools is that they can gather data from customer interactions. These tools collect data from chats, messages, to purchase behavior and analyze that data to reveal insights about customer preferences, sentiment, and behavior patterns. This helps brands understand what customers like, dislike, or expect.
With these insights, businesses can adjust their marketing, support, product offerings, or content to better match real customer needs. For creators or brands, this means using data-driven decisions to shape customer engagement strategy leading to stronger relationships and improved results.
5. Scale customer engagement with reduced cost
As a business grows, managing customer interactions manually becomes expensive and slow. AI customer engagement tools let brands scale smoothly; they automate repetitive tasks, handle many customers at once, and reduce reliance on large support teams.
This scalability means even small teams or solo creators can maintain a high level of engagement as their customer base expands. It’s especially valuable for startups, small businesses, or creators with limited resources but big growth ambitions.
6. Enable proactive customer access
Because AI tools don’t sleep, businesses can offer 24/7 support and engagement which matters for global brands with customers across time zones. Instant support availability makes customers feel valued and reduces frustration from slow responses.
Furthermore, AI can help brands reach out proactively for instance, reminding customers about abandoned carts, suggesting products based on their behavior, or sending helpful messages. This proactive approach can boost engagement, conversions, and overall satisfaction.
7. Enhance marketing content with AI-generated messages
AI Tools for audience engagement aren’t limited to chat. They can also help generate marketing copy, product descriptions, personalized emails, or content that speaks directly to customer needs. By automating creative tasks, brands save time and can focus on strategy or customer relationships.
As some businesses have shown, using AI-generated content with personalization and data insights improves engagement and loyalty. For creators, this means less time spent writing posts or emails and more consistent, on-brand communication, which keeps audiences engaged and satisfied.
8. Improve customer support quality
Some advanced AI-powered engagement tools don’t just replace human agents, they assist them. For instance, AI can help human agents by analyzing conversations in real time, suggesting responses, identifying customer intent, and routing complex cases appropriately.
This AI-assisted approach can make customer support faster and more accurate, while still offering human empathy where needed. By combining AI efficiency with human judgment, businesses ensure that support remains high-quality, even as customer volume increases. For creators or brands, this hybrid approach can balance automation and authenticity.
How AI Engagement Tools Are Changing Customer Engagement
1. AI chatbots and automated messaging tools
ManyChat
ManyChat is a popular AI-powered chatbot platform that lets businesses automate conversations across social media and messaging channels. ManyChat shows how AI-powered automation can let brands deliver 24/7 support and engagement by turning comments or messages into real conversations and leads.
Major features:
- Lets you build custom chatbot flows that guide users through menus, answer common questions or capture leads automatically.
- With its newer AI-features, you get “AI Replies” that understand user intent, “AI Step” to build natural multi-step automations, and a “Text Improver” that polishes your messages to keep tone consistent.
- It supports segmentation via tags, and custom fields that help creators send broadcasts or drip sequences.
- Integrates with various channels which is useful when you have many platform touch-points.
Cost:
- ManyChat has a Free plan.
- Its Pro plan starts at around $15/month.
- If you want the AI add-on (AI Replies, AI Step, etc.), that is an additional ~US$29/month on top of Pro.
Intercom
Intercom is a well-known all-in-one messaging and customer support platform that leverages AI to automate customer conversations, support, and engagement. It helps brands respond to customers quickly even outside working hours. As part of top AI customer engagement Tools, it’s widely used for scaling support and improving user experience.
Major features:
- AI-powered chatbots and “AI agents” that can answer common questions, provide support, and guide users through typical workflows.
- Integration of chat, in-app messaging, email giving a seamless experience across channels.
- Automation of repetitive tasks like greeting new users, answering FAQs, routing complex issues to human agents, saving human time and reducing support load.
Cost:
- Intercom’s entry-level plan starts at $39 per “seat” per month for basic shared inbox and simple automation.
- For advanced AI features or larger teams, higher tiers apply.
2. AI customer support and helpdesk tools
Zendesk AI
Zendesk AI is the intelligence layer built into the widely used support platform Zendesk. It aims to automate and speed up customer service, making it easy for businesses to manage requests, tickets, and support interactions across channels. Zendesk AI helps automate support workflow, reduce manual load, and speed up response times, making customer service both scalable and efficient.
Major features:
- Zendesk AI can automatically resolve many customer interactions without human intervention.
- For interactions that require human attention, Zendesk uses an AI “Copilot” that suggests replies, gives context, and guides agents helping them work faster and smarter.
- It integrates ticketing, chat, email, social messaging, and more giving a unified workspace so all customer communication is in one place.
Cost:
- Entry-level plans start at $25 per agent/month for the basic support features.
- To use the more advanced AI features like the AI Agent, AI Copilot, intelligent automation requires higher-tier plans.
Freshdesk
Freshdesk is a helpdesk and support platform that integrates AI to automate support ticket management, respond to customer queries, and organize workflows helping businesses manage customer service at scale. Freshdesk with AI helps manage growing customer volumes without increasing support staff proportionally.
Key features
- AI-powered chatbots and ticket automation: can handle common customer queries automatically.
- Omnichannel support: email, chat, social, messaging all in one place, making it easier for teams to follow up and resolve issues efficiently.
- Smart routing and automation workflows: the tool can assign tickets to the right team, escalate urgent issues, and reduce manual work.
Cost:
- Freshdesk plans offer entry-level pricing at $15 per agent/month
3. Customer relationship management (CRM) tools
HubSpot CRM
HubSpot CRM is a widely-used platform that helps businesses manage customer data, interactions, and communication. With AI-powered contact scoring, email suggestions, activity tracking, and sales predictions, the CRM helps brands improve engagement and build relationships. It is one of the Top AI customer Engagement Tools because it allows companies to understand customers deeply and personalize interactions.
Major features:
- AI email writing assistant.
- Predictive lead scoring.
- Contact and pipeline automation.
- Customer timeline tracking.
- Integrates with marketing + service hubs
Cost:
- Free plan available.
- Paid plans start at $800/month.
Zoho CRM
Zoho CRM includes AI assistant Zia, which predicts sales patterns, suggests actions, evaluates customer sentiment, and automates reminders. Zoho helps teams understand customer behavior clearly and engage with them at the right time. Because it is affordable and flexible, it is used by both startups and established brands.
Major features:
- AI forecasting via Zia.
- Lead scoring.
- Sentiment analysis.
- Workflow automation.
- Multichannel communication.
Cost:
- Starts at $20/user/month
4. AI social listening tools
Brandwatch
Brandwatch is a deep social listening and analytics platform that uses AI to scan the web social media, forums, blogs, news sites for brand mentions, sentiment, and trends. It helps brands understand what customers are saying and how they feel online. For mid-size to large brands, Brandwatch illustrates how AI engagement tools are changing customer engagement by giving deep insight into audience sentiment and social perception.
Key features:
- Brandwatch processes hundreds of millions of conversations daily across many sources.
- AI-driven analytics and insights can detect sentiment, trending topics, and visual mentions.
- Uncover competitor or market trends.
- Helps with reputation management, trend spotting, influencer tracking, and competitive benchmarking.
Cost:
- Brandwatch pricing tends to be enterprise-level and often custom pricing.
Hootsuite Insights
Hootsuite Insights enhanced by Talkwalker’s AI engine offers social media listening, sentiment analysis, trend tracking, and data-driven social media strategy tools. It helps brands turn social chatter into actionable insights. For brands and creators trying to build audience engagement online, Hootsuite Insights + Talkwalker helps them understand what people are saying, how they feel, and what’s trending. It’s a strong example of how AI customer Engagement Tools transform raw social data into strategic advantage.
Key features:
- Real-time monitoring of brand mentions across social media, news, forums, blogs, podcasts.
- AI-powered sentiment analysis, trend detection, and even image/logo recognition.
- Helps identify trending topics, hashtags, and types of content that are resonating useful for scheduling and targeting posts.
Cost:
- Hootsuite’s listening/social management plans begin around $149 per month for basic plans.
- More advanced features require higher-tier or enterprise plans.
5. AI email and communication automation tools
Mailchimp
Mailchimp is widely known for email marketing but recently they have added AI-powered features, making it a leading example of how AI-powered tools for engaging customer outreach can also thrive via email. For small businesses or creators with limited resources, Mailchimp’s AI tools can replicate what larger marketing teams do
Major features:
- Mailchimp’s AI “Creative Assistant” can generate email copy, design email templates based on brand assets, and help polish messages when time is short.
- The AI analyzes your audience’s past behavior to recommend the best times/days to send emails for higher open and click-through rates.
- AI helps predict subscriber behaviors or preferences, enabling more relevant content and improving engagement
Cost:
- Free plan available
- Paid plan starts at $75/month for 500 contacts.
Benchmark Email
Benchmark email is a modern, easy-to-use email marketing platform designed to help businesses reach and engage customers with minimal fuss. Its built-in AI-assisted features help marketers create emails faster, more attractively, and more intelligently, without needing deep design or writing skills. For any brand or creator aiming to improve customer engagement, Benchmark shows how AI tools for audience engagement can turn email marketing from a chore into a quick, effective channel.
Major features:
- Benchmark’s “Smart Design” tool can generate a fully branded email template in seconds.
- With its AI-assisted writing tools, Benchmark helps you generate subject lines, headings, or full email text that resonate.
- Grow your subscriber list using pop-up forms, landing pages, or embedded signup forms.
- One clever feature is the “Smart Sending” which uses AI to skip contacts that haven’t recently engaged, reducing bounce rates.
Cost:
- Benchmark offers a Free plan.
- Paid plans start at roughly $37/month for 2500 contacts.
- Additional user cost $15/month.
6. AI content creation tools for customer engagement
Jasper
Jasper is an AI-driven writing assistant used by many businesses to create marketing content from blog posts, social media captions, email copy, to landing page text. For creators, small teams, or busy marketers, Jasper dramatically reduces time spent on writing. By generating content quickly and consistently, you can engage audiences more often and maintain a regular brand voice. It demonstrates how AI content tools play a role in customer engagement by helping produce messages that catch attention and speak directly to audience needs.
Major features:
- Offers 50+ templates for different content types enabling fast content generation.
- SEO-optimized content with integrations which is good for organic reach, SEO marketing, and improving discoverability.
- Supports many languages making it useful for brands with international audiences or multi-lingual customers.
Cost:
- Offers a free trial period.
- Paid plan starts from $69/month.
Writesonic
Writesonic helps brands create personalized content for social media, support messages, blogs, ads, and customer updates. Using generative AI, it can craft replies, rephrase content, and produce material tailored to different audiences. It supports faster communication and helps teams maintain consistent engagement.
Major Features:
- AI customer reply generator
- Social media caption creation
- Blog + email writing
- Brand voice training
- Multilingual content
Cost:
- Starts at $49/month.
7. AI insights, analytics analysis tools
Talkwalker
While Talkwalker now powers Hootsuite’s listening tools, it remains one of the most powerful AI-based platforms for social listening, sentiment analysis, brand monitoring, and data-driven customer insight, a key part of how AI transforms engagement for brands. Talkwalker shows that brands no longer have to guess how customers feel. They can use real data sentiment, volume, trends to steer communication, improve content, react to feedback, and build trust.
Key features:
- Monitors over 30 social networks and 150+ million web sources, including blogs, news sites, forums, videos.
- Advanced AI capabilities such as image recognition, emotion and sentiment detection across text, theme clustering, trend predictions.
- Historical data and analytics dashboards allow brands to track how sentiment and conversation evolve over time.
Cost:
- Talkwalker uses a custom pricing model.
Google Analytics
Google Analytics uses machine learning to detect trends, predict conversions, and offer insights into customer behavior. It helps businesses understand how customers move across their websites and apps. With AI-powered insights, brands can improve user journeys and engagement.
Major Features:
- Predictive analytics
- AI insights + alerts
- Customer segmentation
- Engagement tracking
- Funnel analysis
Cost:
- Free is available.
- GA 360 is enterprise-priced.
8. In-app user engagement tools
Userpilot
Userpilot helps you welcome new users to your product with a smooth, personalized onboarding process. Instead of leaving users to figure everything out alone, you can use Userpilot to create guided experiences that adapt to each person’s behavior. This ensures users understand your product quickly, find value early, and stay engaged. As part of the growing movement of AI customer engagement tools, Userpilot turns first impressions into long-term loyalty by giving users the right guidance at the right time.
Major features:
- Create interactive flows, tooltips, banners, modals, and checklists without writing code.
- Trigger onboarding flow depending on user behavior or attributes so each user sees what’s relevant to them.
- Highlight new or underused features to encourage discovery, helping users get more value from the product.
- Track events, monitor user engagement, build NPS or satisfaction surveys.
Cost:
- The Starter plan begins at $299/month.
Whatfix
Whatfix is a powerful digital-adoption platform that offers in-app help, guided product tours, and contextual support exactly when users need it. It aims to reduce friction, lower support burden, and help users get value from a product quickly. Whatfix shows how in-app guidance can transform user onboarding and support for both customers and employees.
Major features:
- Build interactive flows like tours, task lists, pop-ups, smart tips, tooltips.
- Users get help based on their behavior such as when they try a feature or appear stuck.
- Supports not just onboarding new users but also in-app training, continuous guidance, and knowledge-base integration for self-serve support.
- Works across web, mobile, and enterprise environments while supporting multi-language content with auto-translation features.
Cost:
- Whatfix pricing is custom and is usually based on the size of the organization, number of users, and required features.
9. Customer feedback and survey tools
involve.me
Involve.me is a flexible feedback and survey tool that goes beyond basic forms and questionnaires. This tool lets businesses build interactive, engaging surveys, quizzes, forms, calculators, even mini‑landing pages, all without needing a developer. This makes it ideal for brands, small businesses, or creators who want to collect customer opinions, preferences, or feedback in a way that feels natural, dynamic, and user-friendly. Because the surveys are more engaging than standard forms, users are more likely to complete them, giving you richer data.
Major features
- Drag-and-drop survey builder + multiple templates for surveys, quizzes, forms, calculators, pop‑ups, and landing pages.
- AI‑powered survey builder / “AI Agent” to build or adjust surveys by simply chatting.
- Conditional logic, custom paths to ask follow-up questions based on user answers to keep surveys relevant and personalized.
- Embed on websites, show as pop‑ups, share as landing pages, or send via email with multiple integrations to CRMs or other tools.
Cost:
- Free plan available with limited capacity.
- Paid plans begin at $49/month.
SurveySensum
SurveySensum is built for businesses that want to go beyond simple feedback and truly understand customer satisfaction, experience, and emotions. As an example of top AI customer engagement tools, SurveySensum helps companies gather real-time feedback across customer journey touchpoints, measure experience metrics, and use AI analytics to transform raw feedback into actionable insights. This is especially useful for brands, SaaS companies or customer-facing businesses that want to improve retention, satisfaction, and loyalty.
Major features
- Pre-built survey templates for NPS (Net Promoter Score), CSAT (Customer Satisfaction), CES (Customer Effort Score), and more.
- Multi-channel feedback collection which allows for deployment of surveys across email, web, in-app, or other touchpoints.
- AI-powered text analytics / sentiment analysis turns open‑ended responses into meaningful data.
- Enjoy real-time feedback loop for quick reaction to customer input, address issues, improve services or products.
- Support multiple languages, compliance, and scalability.
Cost
- SurveySensum offers a free plan.
- Custom pricing for paid plans.
10. Self-serve knowledge base tools
Document360
Document360 is a SaaS tool for building public or internal documentation/knowledge bases. It supports AI-assisted content creation and helps brands deliver self-serve support, a subtle yet powerful way to improve engagement and customer satisfaction.
Major features:
- Ability to create internal or external knowledge bases like FAQ pages, help articles, and user guides.
- Document360 can use AI to help convert existing content from either text, video, or audio into structured guides.
- Customizable design, SEO optimization, and multilingual support.
- Auto-translate into 50+ languages.
Cost:
- Document360 offers tiered plans with custom pricing.
Tettra
Tettra is a smart knowledge‑management system that makes all your internal information easy to store, organize, and access. Instead of having important guides, FAQs or process documents scattered across emails, chat threads, or different shared drives, Tettra gives you one single place, a central “knowledge base” where everything lives. This means team members don’t waste time searching or asking again for answers. Because of its AI capabilities, Tettra becomes a powerful example of AI tools for audience engagement.
Major features:
- With Kai, you type a question in Tettra and get instant answers pulled from your knowledge base.
- If the question isn’t answered yet, Tettra lets the team assign it, get responses, and store them, building a growing, searchable knowledge archive.
- You can decide who views or edits content, so only the right people manage critical documents.
- Tettra works with common tools many teams already use like Slack, Google Workspace, etc., making adoption easy and not disruptive.
- Experts can review and update documents to ensure info remains accurate over time.
Cost:
- The Basic plan costs about $10 per user per month.
Best practices for using AI engagement tools
1. Combine automation with human oversight
While AI is powerful and lets you automate many tasks, pairing it with human judgment leads to the best results. AI chatbots and automated systems are great for handling simple questions, quick replies, and repetitive tasks but they may lack empathy, miss nuance, or misinterpret complex issues.
The best approach is to clearly define which queries go to AI (routine, simple) and which are escalated to humans (complex, emotional, decision‑critical). Additionally, brands can use AI for first-line handling before letting human agents intervene when needed. This way, you get the benefits of speed and scalability, while preserving trust and empathy.
2. Set clear goals for customer engagement
Before deploying AI engagement tools, it’s important to know what you want to achieve. Using AI without clear objectives can lead to scattered efforts and unsatisfying results. When you define clear goals, like reducing response time, raising customer satisfaction, increasing engagement frequency, or boosting conversions, you can measure performance meaningfully.
How to apply this:
- Document what success looks like: lower reply time, higher satisfaction, improved retention, better insights.
- Use baseline data before AI, then measure after implementation to check impact.
- Adjust strategy based on results by using analytics to see what works or fails, then refine your AI workflows accordingly.
Also, clear goals help you choose the right tools. Some AI tools are better for chat automation, others for sentiment analysis, others for personalization. Knowing your target outcome helps you pick among top AI customer engagement tools wisely.
3. Personalize without being intrusive
One of AI’s biggest strengths is personalization which is tailoring messages and support based on each customer’s history, preferences, and behavior. But it’s important to keep personalization respectful, appropriate, and not overbearing.
Customers appreciate messages that feel relevant like recommended products, tailored support, or content that matches their needs. AI-driven personalization can deepen engagement and loyalty. However, too much automation, or irrelevant personalization, can feel creepy, intrusive, or spammy. And if AI goes wrong with recommendation or tone, it harms trust.
Best practices:
- Use data like purchase history, behavior, past interactions to personalize but avoid over-personalizing.
- Always allow customers the option to opt-out or adjust communication preferences.
- Make sure automated messages maintain brand tone and respect users’ privacy. Ethical AI use builds trust which is crucial for long-term engagement.
4. Review analytics and update strategies regularly
AI tools are not “set and forget.” To make the most of AI customer engagement tools, you must regularly monitor performance, gather feedback, and adapt strategy. AI outputs (responses, recommendations, automations) get stale or inaccurate over time if not maintained. This is often because customer behavior, preferences, and context change so tools need updating.
Analytics help you spot what’s working and what isn’t. Metrics like response time, resolution rate, customer satisfaction, engagement rate, conversion rate show whether AI tools add real value or damage experience.
How to implement:
- Set KPIs before launching AI.
- Use analytics dashboards and reporting features built into AI tools to monitor progress.
- Schedule regular reviews either monthly or quarterly to check data, collect feedback, adjust scripts and automation flows, retrain or update AI as needed.
Continuous review allows improvement. As feedback comes in, you can refine AI workflows, retrain models, update scripts, or adjust when to escalate to humans. This dynamic process is a core part of how AI engagement tools are changing customer engagement successfully.
5. Keep communication natural and brand‑aligned
Automation and AI can help you scale communication but messages must still feel human, authentic, and match your brand voice. If AI responses feel robotic or out-of-character, you risk disconnecting from your audience.
Best practices:
- Write AI‑generated messages in a conversational, friendly tone and avoid stiff corporate language. Make sure language reflects your brand’s personality.
- Allow easy transition from AI to human support when customers request it. Transparency is key. Therefore, inform users when they are talking to a bot.
- Periodically review and update canned responses and automated workflows so they stay relevant and human‑sounding.
Modern customers value authenticity, empathy, and brand personality. Even automated chats or AI-generated content should feel like it came from a brand that understands them. Some customers prefer talking with a human, especially on sensitive issues. While AI is useful for quick tasks, many customers still expect human empathy when problems become complex.
In the end
AI is reshaping the way brands and creators engage with their customers. From chatbots and automated messaging to personalization, and in-app guidance, AI empowers businesses to respond faster, understand audiences better, and create more meaningful interactions. To stay ahead, brands must leverage technology intelligently. AI engagement tools help businesses build stronger, faster, and more personalized customer connections, giving brands the ability to delight customers consistently while saving time and resources.