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Top 15 AI Tools for Marketing and Social Media
AI services are already used in marketing to create copy and images, edit video, automate communications, and analyze performance metrics. Their capabilities and pricing vary significantly, and the outcome depends on the input data, settings, and human review. That is why, when choosing, it matters more to focus not on the number of features, but on the specific task, data-handling conditions, and plan limitations.
The Incrypted editorial team compared 15 AI tools for marketing and SMM, their key features, limitations, and current pricing plans.
Why AI Is Gaining Popularity in Marketing and SMM
AI services make it possible to automate some repetitive operations, produce draft variations faster, and process large datasets. The practical impact depends on the specific workflow. In some tasks, the technology reduces turnaround time, while in others it requires additional verification or manual edits to the output.
Data-driven efficiency
Modern AI models can process large datasets — from ad engagement to conversion metrics. This speeds up segmentation and the preparation of campaign variations, but the conclusions still need to be cross-checked against the underlying metrics and real-world results.
Automation of routine tasks
Content scheduling, email campaigns, and drafts of copy and visuals can be partially automated. This reduces manual workload and frees up time for strategy, editorial review, and client communication. For small teams, this approach helps cover more tasks without expanding headcount, but it does not eliminate the need for quality control.
Adapting to trends
AI helps you prepare materials for new platform formats faster — resize and recompose images, add subtitles, adapt copy, or test multiple ad messages. At the same time, social network recommendations and trends update regardless of the tool you use.
Financial efficiency
The economic impact depends on the process and the scale of use. Automation can reduce time spent on repetitive tasks, but subscriptions, quality checks, team training, and possible post-editing also add costs. That’s why it’s better to evaluate a tool by the cost of a specific task, not by the promise of replacing a particular role.
Personalization
AI can select message, recommendation, and email variants for different audience segments. This makes it possible to scale personalization, but the impact on conversion and sales should be measured through experiments, not treated as an automatic outcome of implementation.
It’s worth evaluating these capabilities on your own data through A/B tests. A result from a vendor case study does not guarantee a comparable effect in another company.
How to Choose AI Tools for Marketing
AI services for marketing often offer overlapping features, but differ in price, limits, and data-handling terms. It’s easiest to compare them using a few practical criteria:
Cost
Most AI platforms run on a subscription model. Free tiers let you test a service in a limited way, but access to advanced functionality usually requires payment. Larger companies can use enterprise plans with API support and additional capabilities.
When comparing plans, consider not only the lowest price, but also generation limits, the number of seats, API access, and commercial-use terms. For many platforms, these parameters change faster than the core feature set.
Functionality
There is no universal AI tool for every marketing task. Before choosing, it’s worth defining what exactly you need to automate or speed up: preparing posts, creating ad materials, video processing, data analysis, or customer communication.
Clearly defined goals make the choice easier and help you avoid spending money on tools that don’t match your strategy.
Integrations
Compatibility with other platforms often becomes the deciding factor, especially for large companies. Connecting AI tools to customer relationship management (CRM) systems, analytics dashboards, or email marketing platforms creates a unified workspace and reduces the need for manual interaction with the algorithms.
Language support
Generation quality depends on the language, the type of task, and the specific model. Before buying a plan, it’s worth testing the output on your own examples for the target markets, especially if brand terminology, local idioms, or legal wording matter.
Ease of implementation
Even a feature-rich service will be useless if the team doesn’t know how to use it. That’s why a clear interface and straightforward onboarding matter. For small businesses, ease of use and price are often more important than an extensive toolset.
Data security
Before implementation, you should check how the service stores prompts and files, whether it uses them for training, what privacy settings are available, and whether you can sign a data processing agreement (DPA). It’s also worth reviewing the terms for commercial use of generated materials and any restrictions on uploading personal or confidential information.
For enterprise rollouts, it’s best to verify these terms before uploading client data and paying for a plan.
15 AI tools for marketing and SMM
Below are 15 services for text, design, video, automation, and analytics. Their features overlap, so this list is not a ranking. Prices and limits are as of August 2026 and may vary by region, payment method, and number of users.
Text
Jasper
Jasper is an AI platform for marketing teams. The Pro plan includes Canvas, marketing agents, Brand Voice, a knowledge base, and audience targeting, while Business adds enterprise features and more advanced workflows. The service is geared toward creating and approving on-brand materials, not just generating ad copy.
- pros: brand settings, marketing agents, collaboration
- cons: no permanent free plan, some enterprise features are only available in Business
- cost: Pro — $69 per seat per month; $59 with annual billing; Business — on request.
Copy.ai
Copy.ai is evolving into a marketing and sales platform with AI-powered features. Beyond chat, the service supports workflows for content creation, research, and recurring team operations. The basic Chat plan provides access to models and projects, while higher-tier plans add scalable automation.
- pros: multi-model chat, teamwork, automation for recurring processes
- cons: advanced workflows are tied to higher-priced plans
- cost: Chat — $29 per month; $24 with annual billing; higher-tier plans are significantly more expensive.
Writesonic
Writesonic combines content creation, search engine optimization (SEO), and tools for tracking brand visibility in AI-generated answers. The platform works well for drafting and optimizing content, monitoring mentions, and search promotion. The feature set and limits depend on the plan.
- pros: search engine optimization, AI search monitoring, long-form content creation
- cons: limits and the SEO feature set vary noticeably across plans
- cost: Starter — $99 per month; $79 with annual billing.
Surfer
Surfer is an SEO platform for preparing and optimizing content. It generates content recommendations, audits pages, and tracks brand visibility in Google and AI answers. Current plans also include the Surfy assistant and the Humanizer feature.
- pros: optimization of existing content, page tracking, and tools for AI search
- cons: SEO-focused specialization, and limits on documents and tracked pages depend on the plan
- cost: Discovery — from $49 per month with annual billing.
Design
Canva
Canva is an online editor for banners, presentations, posts, and short videos. The platform offers a template library, brand kits, content planning, and Magic Studio AI features. Some capabilities and the volume of generative operations depend on the plan.
- pros: template library, brand kits, Magic Studio, and a content planner
- cons: some AI features and resources are limited by plan terms
- cost: free access; Canva Pro — $144 per year.
Adobe Express
Adobe Express is an editor for creating images, posts, presentations, and short videos. It includes built-in Adobe Firefly features for generating and editing content, while paid plans add advanced templates, brand kits, and more generative credits. The product is integrated with the Adobe ecosystem.
- pros: Firefly, brand kits, templates, and integration with Adobe products
- cons: some generative features and resources are limited by credits and the plan
- cost: free access; Premium — $9.99 per month.
Midjourney
Midjourney — a generative visual content service that also supports creating short videos from frames. It is available via a web interface and Discord. Output quality depends heavily on the initial prompt, uploaded images, and selected settings.
- Pros: image and video generation, working with visual references, multiple speed modes
- Cons: no permanent free plan, results require precise prompt tuning
- Cost: from $10 per month; a discount applies with annual billing.
Looka
Looka — a service for designing a logo and basic brand identity elements with AI. The client enters the company name, industry, and preferred colors, then receives a set of options. The platform also generates palettes, fonts, and graphics for presentations and social media. The solution is aimed primarily at startups and small businesses.
- Pros: fast logo creation, additional design elements, ease of use
- Cons: the set of available files and brand elements depends on the selected package
- Cost: the logo can be purchased as a one-time buy; Brand Kit — $96 per year, Brand Kit Web — $129 per year.
Video
CapCut
CapCut — a video editor with templates, auto-captions, effects, and AI editing features. It is geared, among other things, toward vertical videos for TikTok, Reels, and Shorts, and is available on mobile devices, computers, and in the browser.
- Pros: templates for short videos, auto-captions, versions for multiple platforms
- Cons: some features and AI credits are only available on paid plans
- Cost: depends on the region, platform, and available plan; the current price is shown when you subscribe.
Descript
Descript lets you edit audio and video through a text transcript. The platform supports automatic subtitles, removing pauses and filler words, screen recording, audio cleanup, and speech generation. Limits on processing time, exports, and AI features depend on the plan.
- pros: transcript-based editing, screen recording, audio and video workflows
- cons: transcript volume and AI operations are limited by the plan terms
- pricing: free access; Creator — $15 per month; $12 with annual billing.
Synthesia
Synthesia creates videos with virtual avatars and text-to-speech voiceovers. The platform supports multilingual localization, templates, and enterprise features, so it’s used for presentations, training, and internal communications. Before publishing, it’s worth checking pronunciation, intonation, and whether the digital presenter’s role fits the specific material.
- pros: virtual avatars, multilingual localization, templates for corporate video
- cons: video length limits and the avatar lineup depend on the plan
- pricing: there is a free Basic; Starter — $29 per month.
ElevenLabs
ElevenLabs is a platform for text-to-speech, dubbing, and voice cloning. It offers ready-made voice options and tools to create your own, as long as you follow the service rules. Pronunciation quality and available features depend on the language, model, and plan.
- pros: text-to-speech, dubbing, voice cloning, and multilingual support
- cons: cloning and commercial use of voices require compliance with the rules and third-party rights
- pricing: free access; Starter — $6 per month.
Analytics and Publishing
Manychat
Manychat is a platform for automating conversations on Instagram, WhatsApp, TikTok, Messenger, and other supported channels. It lets you set up replies, lead capture, broadcasts, and message sequences without building a full custom bot. Complex dialogs and branch-to-branch transitions require upfront testing.
- pros: visual automation builder, templates, multiple communication channels
- cons: complex message sequences require testing and more expensive features
- pricing: a free plan is available; paid plans start at $14 per month with annual billing.
HubSpot
HubSpot combines CRM, email marketing, publishing management, automation, and analytics. AI features are built into different products across the ecosystem and help with content creation, data work, and reducing manual tasks. The feature set varies significantly between the free tools, Starter, Professional, and Enterprise.
- pros: CRM and marketing tools in one ecosystem, automation, built-in AI features
- cons: costs rise quickly when moving to professional plans and advanced automation
- pricing: free tools are available; Marketing Hub Starter starts at $20 per month per seat, excluding limited-time promotions.
Mailchimp
Mailchimp is a service for email marketing, audience segmentation, and message automation. AI features help generate subject line options and personalize content, but the output should be reviewed before sending.
- pros: email campaign builder, audience segmentation, message automation
- cons: pricing increases as your audience grows, and some features are only available on higher-tier plans
- pricing: the free plan is designed for a limited audience; Essentials starts at $13, and Standard starts at $20 per month. The final price increases with the number of contacts.
One service is not always enough for every task. In practice, your stack may include separate solutions for copy, design, video, email campaigns, and analytics, but adding a new tool only makes sense when it addresses a specific need and does not duplicate features you are already paying for.
How to Integrate AI Into a Marketing Strategy
Implementing artificial intelligence in marketing is not limited to subscribing to a service. For a tool to truly benefit the business, you need a systematic approach to using it, with a clear sequence of actions. Key steps:
1. Audit the needs of the team and customers
First, determine which tasks consume the most resources. This could be content generation, design, video editing, customer communication, or analytics. Identifying the bottleneck helps you choose a process where time savings or a reduction in manual work can be measured.
2. Train employees
The outcome depends on how the team formulates prompts, sets parameters, and verifies responses. Employees need basic skills for working with the selected services, an understanding of their limitations, and rules for handling confidential data.
3. Launch a pilot project
You should not roll out AI across all processes at once. To start, it is better to test 1–2 services with a small part of the team or on a limited group of customers. For example, use Manychat to handle inbound requests or Jasper to generate posts for a specific social network. This will help you evaluate early results and gather feedback.
4. Scale successful solutions
If the pilot shows a measurable effect — reducing time, costs, or the number of manual operations — you can gradually roll the solution out to other processes. It is worth scaling only after you lock in the metrics and confirm that the quality of the output has not declined.
5. Monitor results
Generated texts, images, videos, and analytical insights must be reviewed before publication or use in a campaign. Oversight is especially important for facts, legally significant wording, personal data, and materials that must comply with brand guidelines.
Conclusions
AI marketing tools differ not only in purpose, but also in pricing models, limits, and data-handling rules. Some services focus on text and SEO, while others focus on design, video, communications, or analytics. That’s why there is no one-size-fits-all choice for every team.
It’s more practical to start with one specific task, validate the results on a small scope, and only then expand usage. Before paying, it’s worth comparing the plan, limitations, privacy policy, and quality on your own materials — especially if the service will process customer or internal data.
FAQ
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