AI in social media - table of contents
How does AI in social media works?
AI in social media is not only a tool for data analysis but also a powerful ally in building customer relationships. This is because AI offers a range of solutions that streamline and automate processes that, until recently, only humans could handle. Here are the key applications of AI in social media:
- recognizing trends – AI algorithms sift through data to find relevant patterns. For example, BuzzSumo uses AI to track the most popular topics on the web, allowing companies to react quickly and adjust their marketing strategy. And Instagram is using AI to tailor the stream of posts to users’ interests, increasing engagement and satisfaction,
- chatbots – intelligent chatbots, such as those used by Sephora, skillfully answer customer questions and make personalized product recommendations,
- content personalization – AI tailors content to individual audience preferences, just like Netflix, which analyzes user behavior to deliver content most relevant to users’ preferences,
- automation and optimization of paid campaigns – tools like AdEspresso use AI to test different versions of ads and optimize their performance in real time,
- sentiment analysis – platforms like Brandwatch and Brand24 use AI to analyze social media sentiment, helping companies understand how they are perceived by consumers,
- creating content – tools like Quillbot help you create content such as product descriptions and status updates by offering alternative wording and ideas for new creative phrases.
The development of AI in social media is a dynamic process that continually evolves and adapts to user needs. Companies using these tools gain a significant competitive advantage, improving the efficiency of their marketing efforts. It’s also worth noting that AI in social media is not just an automation tool but also a means of gaining knowledge about customers and tailoring marketing activities to them.
SoMe portals. What innovations have been implemented in social media thanks to AI?
In the era of digital transformation, social media platforms are becoming more and more technologically advanced. AI in social media has played a crucial role here, introducing innovations that have transformed the way we communicate online. Social media is evolving at a staggering pace, but not all updates are directly visible to users. However, what specific innovations have particular platforms decided to showcase?
LinkedIn, as a business platform, uses AI to match content to users’ needs and expectations, resulting in higher engagement and better matches when it comes to:
- displayed posts,
- suggested job offers, or
- recommended articles that you can read or contribute to.
For example, AI algorithms provide users with recommendations of professional contacts who may be most valuable to them, fostering a network of business relationships.
Meta
Meta, formerly known as Facebook, goes a step further by applying AI to translation and transcription. This makes communication more fluid and accessible to users from all corners of the globe. This allows brands to reach a wider audience regardless of language barriers.
The giant has introduced a solution through SeamlessM4T, an AI model for translation and transcription that supports nearly 100 languages. This powerful tool enables speech-to-speech and text-to-speech translation, significantly increasing the accessibility of content for users around the world.
Meta has also introduced a number of innovations, such as an image recognition system that makes content more accessible to the blind and visually impaired. Thanks to this, images are described in words, providing a better understanding of the context of the publication.
Pinterest is another example of a platform that uses advanced machine learning technologies to deliver personalized recommendations. A post on the Pinterest Engineering blog details the architecture for modeling the recommendation system, which covers many aspects – from training preparation to post-training validation.
In a nutshell, Pinterest uses AI to personalize users’ boards, making pin suggestions more relevant and inspiring. Algorithms analyze past interactions and preferences to suggest content that most closely matches users’ interests.
How can companies use AI in social media to improve it?
Today, in a world where competition for users’ attention is fierce, artificial intelligence is becoming an invaluable aid in building a strong social media presence.
Lately
“Lately” is a tool that automates the process of creating posts by analyzing previous content and generating suggestions that are most likely to engage audiences. . Thanks to this, even small companies can achieve a reach comparable to large corporations.
According to the tool’s creators, Lately is a platform that transforms content into effective social media posts, increasing brand visibility by 1000% and tripling the number of potential customers. It is the only generative AI with a continuous learning loop that guarantees up-to-date analysis and 100% privacy.
Source: Lately (https://www.lately.ai/)
Mention
Mention is a platform that monitors online brand mentions by scanning:
- media,
- blogs,
- social networks, and
- websites.
This enables rapid response to customer feedback and crisis management. Real-time data analysis is invaluable in maintaining a positive corporate image. With its geolocation feature, Mention allows you to pinpoint the origin of brand mentions. It’s intelligent content analysis that helps create a positive brand image.
Source: Mention (https://mention.com/en/)
Microsoft Copilot
Microsoft Copilot is a great and free content generation tool that can be especially helpful in creating engaging social media posts.
Available through Bing as Chat or Notebook, the tools use the latest Open AI model, GPT-4, and can help generate engaging content for social media posts. The proposed Copilot is also deeply integrated with Microsoft 365 applications such as Word, Excel, PowerPoint, Outlook and Teams. This allows for seamless content creation and management on these platforms.
An image creation tool from Microsoft called Bing Image Creator from Designer allows you to create visuals with DALL-E 3. You can quickly create compelling visuals for social media posts without any design skills.
Used together, these two tools can greatly enhance a company’s social media presence. However, their effectiveness depends on how well we communicate what we want to say and whether our posts are posted in accordance with the company’s social media strategy.
Source: Microsoft Bing Image Creator, prompt: Marta M. Kania (https://www.linkedin.com/in/martamatyldakania/)
AI in social media. Summary
Using AI in social media opens up new opportunities for businesses, from automating and optimizing marketing efforts to creating more personalized and engaging content. The presented examples of platforms and tools show how AI can help brands better understand their customers, provide them with valuable content, and effectively manage their online presence. It is a constant technological progress that opens up new horizons for business growth. And investing in AI is a step toward greater efficiency and a better understanding of consumer needs.
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AI in business:
- Threats and opportunities of AI in business (part 1)
- Threats and opportunities of AI in business (part 2)
- AI applications in business - overview
- AI-assisted text chatbots
- Business NLP today and tomorrow
- The role of AI in business decision-making
- Scheduling social media posts. How can AI help?
- Automated social media posts
- New services and products operating with AI
- What are the weaknesses of my business idea? A brainstorming session with ChatGPT
- Using ChatGPT in business
- Synthetic actors. Top 3 AI video generators
- 3 useful AI graphic design tools. Generative AI in business
- 3 awesome AI writers you must try out today
- Exploring the power of AI in music creation
- Navigating new business opportunities with ChatGPT-4
- AI tools for the manager
- 6 awesome ChatGTP plugins that will make your life easier
- 3 grafików AI. Generatywna sztuczna inteligencja dla biznesu
- What is the future of AI according to McKinsey Global Institute?
- Artificial intelligence in business - Introduction
- What is NLP, or natural language processing in business
- Automatic document processing
- Google Translate vs DeepL. 5 applications of machine translation for business
- The operation and business applications of voicebots
- Virtual assistant technology, or how to talk to AI?
- What is Business Intelligence?
- Will artificial intelligence replace business analysts?
- How can artificial intelligence help with BPM?
- AI and social media – what do they say about us?
- Artificial intelligence in content management
- Creative AI of today and tomorrow
- Multimodal AI and its applications in business
- New interactions. How is AI changing the way we operate devices?
- RPA and APIs in a digital company
- The future job market and upcoming professions
- AI in EdTech. 3 examples of companies that used the potential of artificial intelligence
- Artificial intelligence and the environment. 3 AI solutions to help you build a sustainable business
- AI content detectors. Are they worth it?
- ChatGPT vs Bard vs Bing. Which AI chatbot is leading the race?
- Is chatbot AI a competitor to Google search?
- Effective ChatGPT Prompts for HR and Recruitment
- Prompt engineering. What does a prompt engineer do?
- AI Mockup generator. Top 4 tools
- AI and what else? Top technology trends for business in 2024
- AI and business ethics. Why you should invest in ethical solutions
- Meta AI. What should you know about Facebook and Instagram's AI-supported features?
- AI regulation. What do you need to know as an entrepreneur?
- 5 new uses of AI in business
- AI products and projects - how are they different from others?
- AI-assisted process automation. Where to start?
- How do you match an AI solution to a business problem?
- AI as an expert on your team
- AI team vs. division of roles
- How to choose a career field in AI?
- Is it always worth it to add artificial intelligence to the product development process?
- AI in HR: How recruitment automation affects HR and team development
- 6 most interesting AI tools in 2023
- 6 biggest business mishaps caused by AI
- What is the company's AI maturity analysis?
- AI for B2B personalization
- ChatGPT use cases. 18 examples of how to improve your business with ChatGPT in 2024
- Microlearning. A quick way to get new skills
- The most interesting AI implementations in companies in 2024
- What do artificial intelligence specialists do?
- What challenges does the AI project bring?
- Top 8 AI tools for business in 2024
- AI in CRM. What does AI change in CRM tools?
- The UE AI Act. How does Europe regulate the use of artificial intelligence
- Sora. How will realistic videos from OpenAI change business?
- Top 7 AI website builders
- No-code tools and AI innovations
- How much does using AI increase the productivity of your team?
- How to use ChatGTP for market research?
- How to broaden the reach of your AI marketing campaign?
- "We are all developers". How can citizen developers help your company?
- AI in transportation and logistics
- What business pain points can AI fix?
- Artificial intelligence in the media
- AI in banking and finance. Stripe, Monzo, and Grab
- AI in the travel industry
- How AI is fostering the birth of new technologies
- The revolution of AI in social media
- AI in e-commerce. Overview of global leaders
- Top 4 AI image creation tools
- Top 5 AI tools for data analysis
- AI strategy in your company - how to build it?
- Best AI courses – 6 awesome recommendations
- Optimizing social media listening with AI tools
- IoT + AI, or how to reduce energy costs in a company
- AI in logistics. 5 best tools
- GPT Store – an overview of the most interesting GPTs for business
- LLM, GPT, RAG... What do AI acronyms mean?
- AI robots – the future or present of business?
- What is the cost of implementing AI in a company?
- How can AI help in a freelancer’s career?
- Automating work and increasing productivity. A guide to AI for freelancers
- AI for startups – best tools
- Building a website with AI
- OpenAI, Midjourney, Anthropic, Hugging Face. Who is who in the world of AI?
- Eleven Labs and what else? The most promising AI startups
- Synthetic data and its importance for the development of your business
- Top AI search engines. Where to look for AI tools?
- Video AI. The latest AI video generators
- AI for managers. How AI can make your job easier
- What’s new in Google Gemini? Everything you need to know
- AI in Poland. Companies, meetings, and conferences
- AI calendar. How to optimize your time in a company?
- AI and the future of work. How to prepare your business for change?
- AI voice cloning for business. How to create personalized voice messages with AI?
- Fact-checking and AI hallucinations
- AI in recruitment – developing recruitment materials step-by-step
- Midjourney v6. Innovations in AI image generation
- AI in SMEs. How can SMEs compete with giants using AI?
- How is AI changing influencer marketing?
- Is AI really a threat to developers? Devin and Microsoft AutoDev
- AI chatbots for e-commerce. Case studies
- Best AI chatbots for ecommerce. Platforms
- How to stay on top of what's going on in the AI world?
- Taming AI. How to take the first steps to apply AI in your business?
- Perplexity, Bing Copilot, or You.com? Comparing AI search engines
- ReALM. A groundbreaking language model from Apple?
- AI experts in Poland
- Google Genie — a generative AI model that creates fully interactive worlds from images
- Automation or augmentation? Two approaches to AI in a company
- LLMOps, or how to effectively manage language models in an organization
- AI video generation. New horizons in video content production for businesses
- Best AI transcription tools. How to transform long recordings into concise summaries?
- Sentiment analysis with AI. How does it help drive change in business?
- The role of AI in content moderation