AI tools for online marketers

Today, artificial intelligence is no longer just a buzzword, but an integral part of marketing work. Research shows that AI implementation saves time and resources. For example, an average marketing team returns ~13 working hours per week by using AI for routine tasks. In this article, we will analyze in detail what AI tools progressive marketers use and why.

Why AI is necessary for online marketers

The complexity of marketing processes is growing. Specialists need to process large amounts of data, create content for different channels, personalize offers, and respond quickly to market changes. AI helps to solve these tasks more efficiently. That is why many companies use artificial intelligence, for example, to create content and segment the audience. AI systems allow automating routine tasks, from analyzing reports to creative ideas for advertising, and focusing on strategy. According to McKinsey research, by the end of 2025, 88% of companies will already use AI in at least one function, and 62% will experiment with AI agents that perform entire business processes.

Levels of AI implementation in marketing

A gradual approach to AI integration is really important because it prevents a number of risks and mistakes. From a practical point of view, there are three levels of AI application that should be implemented sequentially.

1. The first level is AI assistants. The use of ready-made models for routine tasks: text generation, research, basic data analysis. This is the easiest entry point that does not require complex integration with systems. At this stage, the impact on productivity is assessed and the first catalogs of prompts and templates are formed.
2. The second level is AI agents and automation. Creation of individual AI scenarios and robots that combine several tools and services through connectors, Zapier, and APIs. Agents can independently perform a series of actions – from responding to customer requests to filling out reports – freeing up marketers’ time. Here it is important to develop mechanisms for monitoring, logging agent actions, and the role of humans in the human-in-the-loop cycle.
3. The third level is AI workflows and platforms. System integration includes proprietary or customized models, centralized data processing, access rights management, process management, and measurement of economic effect at the level of business functions. The tools are not just used individually, but are integrated into a single ecosystem, which ensures scalability and stable results.

Phased implementation allows you to identify and fix data quality problems, avoid model «hallucinations» in critical processes, reduce the risk of confidential information leakage, and better assess the economics of use. In addition, the gradual approach makes it easier to change workflows and train employees, as the team has time to master the tools, develop quality control rules, and define clear SLAs before scaling the solution to the entire business.

Main categories of AI tools

All tools are divided into 8 categories. Such structuring allows choosing tools not based on «fashion» but on business goals. Let us consider each category and the most popular tools separately.

Basic AI assistants

These are the solutions that are usually the first to be introduced to AI in marketing. They perform a wide range of tasks.

ChatGPT

Probably the most famous AI model is ChatGPT. It is a multifunctional chatbot with the ability to conduct a dialog, process file attachments, and integrate into business workflows. It is suitable both for quick text generation, such as posts, scripts, or announcements, and for creating working documents: content plans, technical briefs, and checklists. ChatGPT can also perform multi-step tasks through agent functions and work with web search and sources in modes that support it.

What ChatGPT can do:

• generate templates for posts for different audiences;
• prepare variants of advertising texts for A/B tests;
• fast, separate development of video scripts and transcripts;
• preliminary content audit (identifying weak messages, recommendations on SEO keys);
• assist in drafting briefs for designers and video production.

Important! Be sure to check facts and sources: the model can sometimes «hallucinate» facts or misinterpret data. For working documents, it is advisable to additionally run answers through validation, i.e. a human editor or a fact-checking tool. It is also worth setting up internal privacy rules before uploading sensitive data.

Gemini

Gemini is positioned as a multimodal assistant. In addition to text processing, it actively works with images, documents, and has services for deep research. Gemini integrates into the Google ecosystem (Chrome, Workspace, Search), which makes it convenient for marketers who already work in the Google environment. Tools for generating images and partially video and multimedia are also available through specialized modules.

Gemini is also useful for quickly collecting materials for cases: aggregating articles, analyzing open data, and searching for ideas based on the context of saved documents in Workspace. The generation of preliminary versions of graphic concepts in combination with Google tools simplifies the work on creatives.

But Gemini also has a drawback – dependence on Google’s privacy policy and data access rules. Businesses with strict requirements for local data storage need to agree on the use of the service in advance.

Claude

Claude is positioned as a safer and more manageable model because attention is paid to reducing the risk of harmful or inaccurate answers and better controlling tone and style. The tool is well suited for tasks where accuracy and consistency are important in large contexts, such as long documents, strategic plans, and complex technical specifications. The new versions have improved memory settings and work with large context windows, which is useful for long projects.

Claude is most often used for:

• writing long materials (white papers, analytical reports);
• structured work on content with strict style requirements;
• working with internal knowledge bases and scenarios where predictability of the answer is important.

Please note that if the priority is style consistency and reducing «hallucinations,» Claude is often the best choice. But for multimodal tasks or tight integration with Google services, it is sometimes more convenient to combine tools. It is recommended to test the model on real business scripts before large-scale use.

DeepSeek

DeepSeek is a Chinese multimodal AI lab that has quickly gained popularity due to its efficient architecture and relatively low cost. The platform offers models for working with text, images, and video, and is focused on deploying agents with low computational costs during query execution. Frequent updates, new version releases, and an affordable price compared to other tools make DeepSeek a competitor in the «affordable large models» segment.

DeepSeek can be useful when you need to build large-scale agency solutions or internal services with a limited computing budget, for example, when mass generating personalized texts or internal bots to process customer requests.

When choosing DeepSeek, you should take into account regulatory issues, compatibility with corporate security policies, and service availability in the region. It is also worth testing the model for compliance with brand standards and content quality before using it in frontline communications.

Tools for searching and analyzing information

These tools save time on routine data collection, quickly generate a market overview, and help you find relevant insights for decision-making.

Microsoft Copilot

Microsoft Copilot is an assistant integrated into Microsoft 365. It is optimized for working with corporate documents: Word documents, Excel spreadsheets, PowerPoint presentations, and corporate email. Copilot is useful when you need to quickly structure internal data, prepare conclusions from documents, or create a presentation based on reports.

Microsoft Copilot can:

• Gather key findings from long documents and emails;
• Automatically generate tables with data in Excel and suggest formulas and summaries
• generate draft versions of presentations based on specified talking points;
• assist in the preparation of internal reports and executive summaries.

Recommended for use when working with internal corporate data when integration with existing Microsoft workflows is important.

Important! Before uploading confidential data, you should agree on the access and storage policy in your organization – Copilot works in the Microsoft ecosystem, and this determines the rules for data processing.

Grok

Grok is a search agent from X.com focused on quickly identifying trends in social media and reacting to events in real time. Grok is suitable for monitoring public sentiment, analyzing topics on X (formerly Twitter), and quickly finding mentions of a brand or competitors.

Grok is relevant when you need to identify trends and publications with high coverage in social networks, quickly aggregate quotes, trends, and discussions on a topic, and generate summaries for your SMM or PR team.

Please note! Good for real-time monitoring, but not a substitute for in-depth analytical research, so use it in conjunction with services that provide long time series and historical data.

Perplexity

Perplexity is a next-generation search AI with the ability to «read» web pages and provide consolidated answers. Perplexity is useful when you need to quickly get a summary on a topic, find sources, or summarize facts from several materials. An interesting update is the appearance of the Comet AI browser.

The main features of Perplexity:

• search for relevant articles and studies and summarize them in one answer;
• return links to sources, give a brief overview of the content;
• quickly prepare summaries for briefs and research.

In other words, instead of manually collecting statistics and extracting key points, marketers can submit a query to Perplexity and receive a summary with the listed sources for further validation. Which, of course, is very convenient. Remember: it is necessary to check primary sources – AI is good at aggregating, but the responsibility for data accuracy remains with humans.

AI agents and process automation

These tools allow you to delegate routine operations to digital assistants and connect different services without constant involvement of developers.

Manus

Manus is a platform for creating AI agents with ready-made connectors to email, CRM, calendar, and browser. It can work as a personal assistant in the browser and automate the collection of information from various sources.

Manus can:

• collect data from emails, CRMs, and web pages;
• generate summary reports and digests;
• launch action chains based on an event (new lead → check in the database → auto-notification to the manager);
• act as an interactive assistant in the browser (filling out forms, searching for information).

The tool is relevant when you need to quickly build working scenarios with minimal developer involvement, especially for browser-based touchpoints and SaaS integrations. It is important to check access rights to systems and data storage policies, and for critical processes, you need a human-in-the-loop.

Make (formerly Integromat)

This is a convenient service that allows you to connect different applications to each other using visual blocks without programming. You simply set up a sequence of actions, and the system automatically transfers data between services and starts the necessary processes.

What Make:

• integrate CRM, email services, advertising platforms, and databases;
• automatically generate and route leads;
• launch email campaigns, update customer cards, create tasks in the task manager;
• provide logging and retries in case of errors.

Ideal for businesses that want to quickly automate routine scenarios without involving development. For example, to set up a chain: new lead from a form → validation → creating a card in CRM → sending a welcome email → setting a task to a manager.

Note that complex scenarios can make it difficult to track errors, so it’s important to design clear logs and exception handling mechanisms.

n8n

This is an open-source process automation platform that provides more flexibility in customization. It can be deployed on your own server and supplemented with customized modules for specific business needs.

n8n has the ability to

• perform complex ETL operations and transfer data between systems;
• run scenarios by event or schedule;
• provide extensible data transformation and error handling logic;
• work in self-hosted mode for increased control over data.

n8n is relevant if you need complex integrations, special data transformations, or require the platform to be hosted in a private infrastructure. Technical support is required: the team will have to provide system configuration, updates, and security.

OpenAI AgentKit

OpenAI AgentKit is a tool for quickly building custom AI agents based on OpenAI models. Basically, a marketer describes business logic and data sources, connects external services via API, sets behavioral rules, and the agent will independently perform a sequence of actions without constant manual intervention.

Agents created with this toolkit are able to interact with third-party systems, such as CRM, email, or analytical services, and combine several tools into a single process. AgentKit also allows you to set action policies and restrictions on its operation to reduce the risk of incorrect decisions.

It is appropriate to use it if you need an agent that executes clearly defined business logic, integrates with internal services, and should work under control.

What to pay attention to:

• external API calls and work with large models have a cost – budget for it;
• you need an infrastructure for logging, monitoring, and rollbacks to track agent behavior and respond quickly to errors.

Thorough testing is mandatory: agents can make mistakes or misinterpret data, so it is advisable to leave a human-in-the-loop at critical stages and launch the solution gradually, in pilot mode.

Analytics, traffic, and AI insights

Today, analytics platforms are increasingly adding built-in AI modules that automatically track anomalies, highlight important patterns, and translate large amounts of data into specific recommendations. This allows marketers to quickly respond to changes in traffic, adjust campaigns, and focus on the metrics that really impact the business.

Similarweb

This service is traditionally used for comparative analysis of competitors and market trends. New AI functions help to quickly interpret reports: they identify traffic sources, audience segments, and suggest where interest in a topic or brand is growing. In addition, the platform is starting to take into account conversions from AI chats as a separate channel, which allows noticing early changes in audience behavior when users start using chat assistants instead of classic search.

In terms of practical application, Similarweb is used to monitor changes in competitors’ traffic, identify new traffic sources, and make decisions about adjusting content strategy or budgets. It is worth combining these insights with your own data (CRM, first-party analytics) to separate real opportunities from temporary fluctuations.

Google Analytics – AI Insights

This is a functionality in the analytics system that automatically detects anomalies, trends, and correlations in web data. The tool helps to detect atypical changes in traffic, growth or decline in conversions, and gives suggestions on possible causes.

AI Insights Google Analytics:

• Automatically detects statistical anomalies and suggests areas for inspection;
• suggests audience segments that show unexpected changes in behavior;
• generates explanations of possible reasons for the drop or increase in indicators.

Use it to monitor campaigns on a daily basis and quickly identify problems or effective channels. For best results, combine insights with manual analysis and internal data (CRM, conversion events) to confirm hypotheses.

Image generation and AI design

Visual content is one of the most vivid areas of AI application. So let’s analyze the most popular tools for creating graphics and design.

Midjourney

A proven image generator that quickly generates various creative options based on text prompts. It’s great for finding visual directions, creating ideas for banners, illustrations, and mood boards in the early stages of a project.

Midjourney can:

• create several variants of the same query for further comparison;
• generate illustrations and compositions for articles, social media, and advertising layouts
• quickly select a visual mood (style, colors, composition) for a presentation to a client or team.

Midjourney is useful if you need to quickly get a lot of visual ideas for testing or presenting concepts before launching an expensive production.  Clearly define the style and technical requirements (aspect ratio, resolution), and check the results with the designer before final publication.

Leonardo

Leonardo is a powerful image generator with an emphasis on complex compositions and working with text in the frame. It has integration with Canva, which makes it easy to use the generated visuals in ready-made layouts.

Leonardo:

• creates banner layouts with readable text and adapts them to various advertising formats;
• generates a series of images of the same subject for different sizes and platforms;
• provides tools for style correction (color, lighting, texture settings).

It is relevant for marketers who want to get creatives ready to be inserted into a template and minimize the need for designer’s revisions. Prepare email templates with branded fonts and sizes to reduce the need for manual revisions. And be sure to check the readability of text on mobile screens.

OpenArt

This is a platform that combines several generation models and allows you to train your own models on a set of branded images to get visuals in a single corporate style.

OpenArt allows you to upload corporate photo content and train the model to work in your brand’s style using mechanisms such as LoRA or pre-training. The platform also allows you to store libraries of prompts and finished results to reuse your solutions and scale them for future campaigns. OpenArt is relevant for teams that need large-scale visuals in a single style, for example, for large promotional campaigns or product catalogs.

Please note! Training the model requires time and resources, and using it requires checking the legal aspects of content use and platform license terms before deployment.

AI video generation

Video content traditionally requires the largest investments in terms of time, budget, and production team involvement. Script preparation, shooting, editing, post-processing – each stage adds costs and complicates scaling. That’s why the rapid development of AI video generation has become a strategic change for marketing: what looked like a technological experiment until recently has turned into a working tool.

Kling AI

A tool that was one of the first to offer affordable and high-quality generation of short video clips. The advent of Kling allowed marketers to get video concepts quickly and without big budgets.

What it does well:

• generates short videos and advertising scenes based on text or scripted prompts;
• quickly creates several variants for A/B testing of video creatives;
• is suitable for prototyping visual ideas and previews before investing in full production.

It is most often used for quick hypothesis testing, checking ideas in the first launches of campaigns, creating teasers and social videos.

Warning: Kling is great for quick experiments, but complex scenes with precise storyboards and high cinematic quality are best completed in classic video production or in higher-end tools.

OpenAI Sora

OpenAI solution for creating more coherent and logically connected video scenes. Sora raises the bar for quality by allowing you to get not just single frames, but consistent video streams with more natural dynamics.

With Sora, you can:

• generate scenes with a coherent sequence of frames and a well-thought-out motion logic;
• create scripted mini-stories and more complex branded videos;
• move from prototype to more finished material more easily, reducing the number of manual edits.

The tool is relevant when you need to get a more complex video sequence with a sequence of events or check the scripted flow and visual sequence without full production. However, it’s worth knowing that Sora raises expectations for quality, but post-processing and human control are still required for full control over style and detail, especially in long formats.

Google Veo

A professional solution from Google that currently sets the standard for stability and quality in the AI video segment. Veo is easy to integrate into existing workflows of companies operating in the Google ecosystem.

Key features of Google Veo:

• Stably generates high-quality video with the ability to integrate into workflows;
• It works well with other Google tools to automate processes and scale production;
• suitable for corporate scenarios where compatibility and reliability are important.

The tool is most relevant for teams that already work in the Google ecosystem and need a turnkey solution with a focus on stability and integration.

Veo is a strong choice for large-scale and stable production processes, but if you need a highly specialized artistic style or atypical visual solutions, it is sometimes advisable to combine it with tools for creative experimentation.

AI avatars and advertising creatives

These tools help to scale multimedia communication: from «animating» speakers in videos to mass generation of advertising creative options.

Heygen

Heygen allows you to create realistic AI avatars for video presentations and training videos without the participation of live actors. The platform works best in a pre-recorded format: you prepare the text or script, upload source materials if necessary, and the system generates a finished video with an avatar reading the text in a natural tone.

Typical tasks:

• training modules;
• promotional videos for landing pages;
• Screencasts with voiceover;
• quick video messages for customers.

For a high-quality result, ensure a clean storyboard, stable lighting when recording a «basic» video (if you are creating a custom avatar), and clear diction for synthesized speech. Pay attention to ethics and rights: check for permission to use images and voices, especially when working with real people. There should always be a legally binding agreement.

AdCreative.ai

AdCreative automates the mass creation of advertising banners and texts for performance campaigns. You enter the basic data, i.e. target audience, USP, format, and the platform generates dozens of creative variants and headlines for testing. This significantly speeds up the work of teams that make many iterations in a short time. It is relevant when preparing a large number of ads for A/B tests, when you need to quickly get several variants of messages, or when designers have limited resources.

Combine automatically generated variants with manual validation. Filter and adapt the best solutions to brand standards before launching.

BannerBoo

BannerBoo is a tool that simplifies the creation of banner ads with the technical requirements of platforms. It offers templates, as well as the ability to quickly adapt sizes and texts, which is useful for local markets and fast-paced campaigns.

Typical scenarios:

• quick preparation of banners for Facebook, Google Display, and affiliate networks;
• adaptation of creatives to different formats;
• integrating templates into agency or internal marketing workflows.

Keep approved fonts and colors in your templates to ensure that automatically generated banners are consistent with your brand guide.

Presentations, products, and AI voice

Finally, let’s take a look at tools that speed up the transition from an idea to a working prototype, simplify the preparation of presentations, and provide high-quality voice support for marketing materials. Together, they solve narrow but often critical tasks.

Lovable

Lovable is a service for quickly creating simple websites, landing pages, and calculators without involving developers.

What it can do:

• generate working prototypes of landing pages;
• assemble basic forms and connect basic logic (calculators, quizzes)
• provide templates that can be tested in traffic immediately.

You should use Lovable if you need to quickly test a business hypothesis, launch a promotional landing page, or create an MVP product without long development cycles.

Please note! Such prototypes work well for testing and presentations. A large-scale product requires further integration with the backend and CI/CD.

Gamma.app

Gamma is a tool that automatically generates the structure, content, and design of presentations based on a short brief or thesis statement.

Gamma.app can:

• generate a logical sequence of slides;
• adapt content to the target audience;
• select visual elements and design;
• export the result to convenient formats for demonstration.

It is used when preparing internal reports, client presentations, pitches, or short training materials when the speed of preparation is important. It’s important to check the consistency of messages and brand standards right away, because the tool is convenient to use as a starting point, but sometimes manual polishing is required for public speaking.

ElevenLabs

ElevenLabs is a powerful Text-to-Speech service known for its high quality English-language voice synthesis.

The tool can:

• generate natural voices for videos, podcasts, trainings, and voice prompts;
• customize intonation, pitch, and expressiveness
• create voice variations for different formats.

ElevenLabs will be relevant if you need fast, professional voice-over of English-language content without the need for a voice actor or studio. But be sure to keep two things in mind: check the license to use voices synthesized by in commercial materials and that for localization, you should test audience perception and combine voice acting with subtitles.

Respeecher

Respeecher is a Ukrainian voice synthesis service that provides natural sounding Ukrainian speech without a noticeable accent.

Respeecher can create realistic Ukrainian voiceovers for advertising, radio commercials, telephone systems, and educational materials, as well as reproduce the tone and manner of speech close to specific stylistic requirements. It is necessary for high-quality localization of audio materials, creation of advertising audio clips with the sound of local speakers, or replacement of expensive studio recordings.

Obtain legal permission to use voice samples when it comes to cloning a real person. And check the audience’s perception to avoid an «artificial» effect.

The future of AI in marketing

AI in marketing continues to develop rapidly. Experts predict that in 2026, open big language models will appear that can be used in critical areas (e.g., fintech). The number of agent assistants in companies is likely to grow even more as they will «eat up» more and more manual work in marketing and beyond. At the same time, attention to security and ethics will increase, for example, regulators’ requirements for transparency and control over AI solutions will remain important.

At the same time, the speed of releases of new models and services is only increasing. Google, Anthropic, and OpenAI have switched to continuous updates, and tech companies are releasing advanced systems in a race against time. In general, the future of AI points to ever deeper integration with marketing processes. New formats and creatives that are only on the horizon will emerge, and AI assistants will make many tasks almost automatic.

Regardless of the pace of change, the main thing is to have time to learn and test new tools, implementing them systematically in strategies, not fragmented. This way, marketers can not only keep up with technology but also use it as a source of competitive advantage.