Agency Growth | AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview https://getaimonitor.com/category/agency-growth/ Get Your Brand Recommended by ChatGPT & Google AI Overview Thu, 10 Jul 2025 12:36:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.1 241119154 From Text to Canvas: Ultimate Battle of LLM vs Generative AI https://getaimonitor.com/llm-vs-generative-ai-what-should-you-pick/ https://getaimonitor.com/llm-vs-generative-ai-what-should-you-pick/#respond Wed, 30 Apr 2025 12:58:30 +0000 https://getaimonitor.com/?p=12472 From Text to Canvas: Ultimate Battle of LLM vs Generative AI Introduction: When Machines Get Creative Imagine a world where machines don’t just follow instructions but create, think, and adapt. Sounds like sci-fi? Welcome to the era of Generative AI and Large Language Models (LLMs), two game-changing technologies reshaping everything from art to customer service. […]

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From Text to Canvas: Ultimate Battle of LLM vs Generative AI

From Text to Canvas: Ultimate Battle of LLM vs Generative AI

Introduction: When Machines Get Creative

Imagine a world where machines don’t just follow instructions but create, think, and adapt. Sounds like sci-fi? Welcome to the era of Generative AI and Large Language Models (LLMs), two game-changing technologies reshaping everything from art to customer service.

In this blog, we are going to explain to you which one is better in the LLMs vs Generative AI debate based on the scenarios and your use cases.

But here’s where it gets interesting: while they’re often lumped together, Large Language Model vs Generative AI isn’t a fair fight—they’re built for different battles.

Generative AI paints, composes, and designs (think DALL·E’s surreal images or AI-generated music).

LLMs like ChatGPT specialize in word—writing, translating, and chatting like a human.

Ready to pick your AI sidekick? Let’s dive in – no PhD required.

Venn diagram showing Large Language Model (LLM) as a subset of Generative AI on a digital network background.

What is Generative AI?

As the term suggests, Generative AI is a branch of artificial intelligence systems that is capable of producing new pieces of work, from scratch, to be more specific: images, text, codes, music and even videos. What divides this type of AI from other forms is how these models go beyond simply working with data; they provide zestful outcomes based on the analysis done from a wide array of data.

🔥 Wild Fact

According to Precedence Research, the global generative AI market size has been calculated at USD 37.89 billion in 2025 and is expected to reach approximately USD 1,005.07 billion by 2034. The market is estimated to register an impressive CAGR of 44.20% between 2025 and 2034. (Precedence Research)

How It Works (Without the Boring Textbook Stuff)

Generative AI models are powered by cutting-edge technologies like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. These tools allow AI systems to “imagine” new content after analyzing vast amounts of data.

For instance, GANs work by using two networks that play a game against each other—one generates data, and the other evaluates it, gradually improving the quality of the generated output. Similarly, VAEs and Transformers help refine how these models create new content, making them incredibly versatile.

Generative AI isn’t limited to text—it spans across modalities like images, videos, and even audio, depending on how it is trained.

Generative AI Tools That’ll Blow Your Mind

Some popular examples of generative AI tools include:

  • GPT-4o: A state-of-the-art model from OpenAI, known for its high-quality text generation.
  • Midjourney: It is particularly well-suited for generating art, illustrations, and other visually rich content, and is known for visually appealing images.
  • Runway: A video creation tool powered by generative AI that assists in editing and generating dynamic visuals.
  • Cursor – The AI Code Editor: An AI-powered IDE integrating advanced artificial intelligence features directly into the coding environment.

What Are Large Language Models (LLMs)?

Large Language Models (LLMs) are a subset of generative AI designed to process and generate human-like text. Some new and advance models can process and generate other types of content, such as code or structured data. These models, built on deep learning and transformer architectures, analyze vast amounts of data to understand context, predict sequences, and generate coherent, contextually relevant outputs.

🤪 Crazy Stat

GPT-4 gobbled up 570GB of text (that’s 300 billion words!) and speaks 45 languages (OpenAI)

How LLMs Work

LLMs primarily rely on Transformer architecture, which allows them to understand the relationships between words and concepts by using a mechanism called self-attention. This architecture enables LLMs to process input text as a whole, rather than word by word.

Unlike general generative AI models, LLMs are specifically trained on vast amounts of text data—think books, websites, and other written content. This training makes them exceptional at tasks such as translation, summarization, and chatbot-like interactions.

LLM Hall of Fame

Well-known LLMs include:

  • GPT-4: A powerful text-based model developed by OpenAI, which can handle complex tasks like writing essays, code generation, and more.
  • Claude: A conversational AI model by Anthropic, designed to engage in natural language conversations, provide information, and generate various text formats.
  • Gemini: A multimodal large language models developed by Google DeepMind aimed at improving dialogue systems.
  • ChatGPT: Perhaps the most recognizable LLM, capable of answering questions, writing essays, and having in-depth conversations. (ChatGPT is both a generative AI and a large language model (LLM).

Market Snapshot

  • The market size in the Generative AI market is projected to reach US$66.89bn in 2025. The market size is expected to show an annual growth rate (CAGR 2025-2031) of 36.99%.

Source

Generative AI vs LLM: Key Differences

Both, Generative AI and LLMs are parts of the faster growing Artificial Intelligence field, but are different in what they offer and have adpoted. A Generative AI is constituted of multiple tools AI equipped to generate content in the form of text to images and even videos, whereas LLMs are trained to specifically work with and produce text based content. The main differences arise out of areas of difference in training data, what the system can do and what it is primarily used for, which will be discussed in the following sections.

Feature Generative AI Large Language Models (LLMs)
Content Type Creates text, images, videos, and code Primarily creates text
Training Data Multimodal (text, images, video, etc.) Text-only datasets
Applications Image generation, music, and video Text generation, chatbots, translation
Core Technology GANs, VAEs, Transformers Transformer architecture

While LLMs are a crucial part of generative AI, their capabilities are specifically focused on language and text. Other forms of generative AI expand into visual and auditory domains, creating new challenges and opportunities.

Want ChatGPT to Recommend Your Product?

This guide arms marketers, business owners, and SEO pros to dominate not only traditional search but the new age AI-powered search platforms as well.

When to Use Generative AI vs LLMs (No BS Advice)

Pick Generative AI If… Creating new content? Go for Generative AI. For instance, it can produce captivating images, videos, or even compose music. This is particularly useful in the entertainment, marketing, and design industries. If you need an eye-catching artistic video ad for your campaign, you can use DALL-E or Runway and literally rest.

Pick LLMs if… the content is text-based. LLMs are great at chatbots, translations, and content generation. For anything that needs to be in a written form, be it articles, codes, or even customer interactions, LLMs like GPT-4 and ChatGPT will excel in delivering high-quality written pieces.

Case Study: How Netflix Uses Generative AI and LLMs

Netflix utilizes both generative AI and LLMs to enhance its user experience. For example, generative AI is used to create personalized thumbnail images for shows based on what will most likely appeal to a user. On the other hand, LLMs are used to recommend shows and movies by analyzing user preferences and past viewing habits.

Netflix uses generative AI and large language models (LLMs), shown with Netflix logo and text on a red background.

Challenges and Limitations: The Dark Side: AI Fails You Can’t Unsee

Generative AI Limitations

We cannot deny that generative AI has transformed creative fields, but it also comes with its challenges. The most prominent one out of all is the creation of deepfakes; realistic-looking fake images or videos which can be used in dangerous ways. Copyright issues are also a limitation, especially with the lawsuits that are happening with AI content and its creators. Furthermore, there is a problem with AI models that produce inappropriate or harmful content. These issues are the growing challenge in the AI development world today.

Risk Involved:

  • The risk of generating fake or misleading content like deepfakes can lead to misinformation, causing significant harm in industries like journalism, politics, and entertainment.
  • Copyright issues arise when AI models create content that is too similar to copyrighted works, leading to lawsuits or intellectual property disputes.

Mitigation Tips:

  • Watermark AI-generated images: Adding visible or invisible watermarks can ensure that creators and users can identify AI-generated content, helping reduce misuse.
  • Stay informed on copyright laws related to AI creations and ensure compliance to avoid legal issues.

LLM Limitations

Like everything else, LLMs also have their drawbacks. One of the most prominently noticed issues is hallucinations, which are instances where an incorrect output or nonsense is produced. There’s also bias, where models like ChatGPT tend to give answers based on outdated and incorrect information. In addition to this, standard LLMs have issues with understanding context, which can be especially bad in layered or complicated subjects.

Risk Involved:

  • Hallucinations can lead to spreading false information, which is particularly dangerous when LLMs are used in sensitive areas like healthcare or legal advice.
  • Bias in LLMs may perpetuate harmful stereotypes or produce discriminatory content.

Mitigation Tips:

  • Fine-tune LLMs with domain-specific data to improve accuracy and reduce hallucinations.
  • Incorporate ethical AI practices to minimize bias and ensure fairness, such as using diverse datasets and conducting regular audits.

Future Trends: AI Predictions That’ll Make Your Head Spin

Futuristic robot analyzing a glowing crystal ball on a wooden table, symbolizing AI prediction and foresight.

The future of Generative AI and LLMs looks incredibly promising. Here are some trends to watch for:

  1. Multimodal Models: AI systems will combine text, images, video, and even audio, making them more versatile and capable of handling a broader range of tasks.

  2. Ethical AI: As concerns about bias and privacy grow, there will be increased efforts to create AI models that are more transparent, fair, and ethical.

  3. Custom AI Models: Expect to see more industry-specific AI models tailored to specific needs in sectors like healthcare, finance, and law.
Two humanoid robots exploring creativity—one reading a book, the other contemplating a painting in an art studio.

Conclusion

Let’s cut through the jargon. Generative AI and LLMs are like the Batman and Robin of the AI universe—except they don’t always work together, and honestly? They’re kinda rivals.

Generative AI = The Mad Artist 🎨

This is your go-to for unhinged creativity. Need a TikTok dance that goes viral? A logo that looks like a unicorn ate a rainbow? A song that blends Beyoncé with banjo? Generative AI’s got your back. Tools like DALL-E and Runway don’t just make content—they invent it. Think of it as that friend who shows up to brunch with glitter in their hair and a PowerPoint for their next “disruptive art project.”

LLMs = The Smooth-Talking Word Wizards 🧙♂️

These are your textual ninjas. Want to automate 500 DMs that don’t sound like a robot wrote them? Need a blog post that’s 80% done before your coffee cools? LLMs like ChatGPT and Claude will churn out words smoother than a politician’s apology tweet. They’re the overachieving interns who actually read the 300-page manual (and then summarize it in a haiku).

But Wait—Ethics, Though ⚖️

Gen AI’s dark side? Deepfakes of your CEO twerking. LLMs? Hallucinating facts like “the Eiffel Tower is in Texas.” Stay sharp: watermark those AI art masterpieces, fact-check LLM rambles, and for god’s sake, don’t let the robots write your breakup texts.

What do you think? Are you team LLM or team Generative AI? Drop a comment below—let’s chat about how you could use these in your own projects!

LET’S ANSWER THE QUESTIONS

Frequently Asked Questions

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A No-Nonsense Guide to Retail Inventory Management Software https://getaimonitor.com/a-no-nonsense-guide-to-retail-inventory-management-software/ https://getaimonitor.com/a-no-nonsense-guide-to-retail-inventory-management-software/#comments Mon, 17 Feb 2025 08:46:40 +0000 https://getaimonitor.com/?p=7137 Look, I’ve been around the retail block a few times, and let me tell you – nothing makes me cringe harder than hearing “Sorry, we’re out of stock” when I’m ready to throw my money at a store. It’s 2025, folks! We’ve got self-driving cars and AI writing poetry, yet somehow businesses still struggle with […]

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Look, I’ve been around the retail block a few times, and let me tell you – nothing makes me cringe harder than hearing “Sorry, we’re out of stock” when I’m ready to throw my money at a store. It’s 2025, folks! We’ve got self-driving cars and AI writing poetry, yet somehow businesses still struggle with keeping track of their inventory. Let’s fix that, shall we?

Retail Inventory Management Software helps retailers avoid overstocking, reduce capital tied up in slow-moving products, and increase sales by guaranteeing they always have enough stock on hand to satisfy customer demand. This is accomplished using accurate inventory counting tools, customized reports, and sophisticated analytics.

Product categorization is key to effective inventory management and can significantly speed up the inventory process by eliminating human errors. Additional key features of effective inventory systems are low-stock alerts and integration with point-of-sale systems.

The What and Why of Inventory Management Software

The What and Why of Inventory Management Software

Core Purpose

Think of inventory management software as your store’s personal assistant with a photographic memory. While you’re busy helping customers find the perfect pair of jeans or dealing with Karen, who wants to speak to the manager (again) this digital miracle worker is:

  • Maintain optimal stock levels to maximize sales opportunities
  • Prevent stockouts and overstock situations
  • Track inventory across multiple locations and channels
  • Make data-driven purchasing decisions

Essential Features

  • Real-time inventory tracking and monitoring
  • Stock level alerts and automated reordering
  • Product categorization and organization
  • Size, color, and style matrix management
  • Integration capabilities with POS and accounting systems
  • Reporting and analytics tools

Finding Your Perfect Match: A Dating Guide for Software Selection

The Small Business Sweetheart

You must also have that cozy boutique down the street that somehow always has exactly what you need.  They’re probably using something like Comcash or Retail Pro.

Small retailers often rely on a straightforward retail inventory system to keep operations running smoothly. Such systems automate item tracking, reducing errors and improving efficiency while offering managers a clear picture of stock levels for making informed decisions on purchasing and marketing activities.

An automated inventory system can track inventory in real-time, preventing overselling or underselling. Furthermore, historical sales data analysis allows it to predict demand and recommend optimal reorder quantities; all these benefits help increase revenues while simultaneously decreasing inventory costs.

Automated inventory management software can save time by eliminating manual counting and the need for warehouse staff to perform periodic audits, freeing employees up to focus on other tasks that improve productivity and profitability. In addition, automated inventory software provides a clear picture of inventory at any given point in time, making it easier to track down lost or stolen goods and replace them quickly and efficiently.

An inventory system can easily integrate with both your POS and online store, automatically updating them both with updates from both systems simultaneously to facilitate collaboration and reduce data silos that lead to errors. Furthermore, multiple users can access it simultaneously for increased efficiency within both sales and warehouse teams.

Veeqo, an advanced inventory management system with automation features, may provide more advanced functionality than standard inventory solutions. It can manage inventory levels across marketplaces like Amazon, eBay, and Shopify so retailers know precisely what their stock levels are at all times. Furthermore, bulk shipping label printing makes fulfillment faster while integrations with major courier services streamline fulfillment further. These capabilities make Veeqo an excellent solution for growing online retailers who wish to optimize stock levels while increasing profits.

The Enterprise Power Couple

Retailers that operate across multiple locations or stock a wide variety of items often face difficulties juggling multiple software systems for point-of-sale transactions, inventory management, and financials. This can lead to inaccurate data, delayed synchronization, costly mistakes, missed sales opportunities, or missed opportunities altogether. To optimize business efficiency quickly and efficiently, the best retail inventory management solutions offer seamless integration of all necessary business information for making informed decisions quickly.

Enterprise suites such as LS Central for Retail from Microsoft’s ERP solution Business Central offer comprehensive inventory management, store operations, finance, financial accounting, CRM, human resources, and eCommerce capabilities in one comprehensive system. You can use this software to streamline supply chain management from warehouses and stores directly to customers while simultaneously managing omnichannel logistics and customer relationships.

These tools not only offer unified software to meet all of your operational needs, but they can also assist in optimizing inventory and reducing shrinkage. By automating counting of products, providing real-time tracking from POS to suppliers and customers, and providing detailed reports with data analysis for decision-making purposes – plus keeping tabs on new arrivals or seasonal changes – plus offering digital marketing features to maximize sales!

Other advantages of employee accountability systems and more efficient workflows with simplified communication include increased employee accountability and reduced paperwork loads with faster submission processes for tasks and inventory damage reports via mobile phones. Employees may even be required to sign off when submitting forms, creating increased accountability while decreasing error risk. Regular inventory audits can also help minimize stock loss from theft, misplacement or other factors.

The Multi-Channel Matchmaker

Let’s get real – if you’re not selling both online and in-store in 2025, are you even retail-ing? (Yes, I just made that a verb.) Solutions like Counterpoint and RunIt RealTime are perfect for juggling your e-commerce and brick-and-mortar inventory like a pro circus performer.

The Good, The Bad, and The “Oh My God, Why Didn’t We Do This Sooner?”

The Sweet, Sweet Benefits

  1. Time Savings: Remember manually counting inventory after closing? Yeah, neither do I – because software does that now. chef’s kiss
  2. Accuracy That Would Make Your Math Teacher Proud: No more “I think we have that in stock” moments
  3. Shrinkage Control: Because inventory shouldn’t mysteriously disappear like socks in a dryer
  4. Crystal Ball Powers: Okay, not really, but the forecasting is pretty darn close

The Reality Check

Let’s keep it 100% real – implementing new software can be about as fun as teaching your grandparents how to use TikTok. You’ll need:

  • Have patience (lots of it)
  • A solid implementation plan
  • A sense of humor (trust me on this one)

The Cool Kids’ Corner: Latest Trends

What’s Hot Right Now

  • AI-Powered Forecasting: Because guessing is so 2023
  • RFID Everything: Tags that talk? Welcome to the future!
  • Cloud-Based Solutions: Working from home? Your inventory can too
  • Omnichannel Magic: Because customers expect to buy online and return in-store (and vice versa) faster than you can say “supply chain”

Now let me explain each of these trends in detail:

Software Made in Heaven that Stays in the Cloud

Cloud-based inventory solutions allow businesses to track inventory across stores, warehouses, and logistics centers from one central platform compared to traditional systems, which must be installed physically on-premises. This enables greater accessibility from anywhere with internet access for inventory tracking across stores, warehouses, and logistics centers.

cloud-based inventory management systems tend to be cheaper to install and use than traditional software systems and are highly adaptable. Scalability also plays an integral role: should a business experience rapid expansion, cloud systems can scale instantly to meet the new capacity demands; conversely, if staff cuts are experienced, then cloud systems can easily downscale to reduce unnecessary expenses.

RFID integration

Market trends are shifting toward cloud-based systems that integrate seamlessly with both e-commerce and in-store point-of-sale systems for simplified sales tracking. Lightspeed Retail and Lightspeed eCom offer this capability so retailers can monitor inventory across their physical and online storefronts from a single easy-to-use platform.

An investment in RFID technology can also help improve inventory management processes. By embedding chips in merchandise, this technology enables a complete picture from warehouse to checkout; as it passes through checkout or returns back into storage, updates on stock levels and reordering can occur automatically.

Zara and Decathlon have both implemented RFID global-scale systems to increase inventory visibility and decrease shrinkage. Zara uses RFID tags at the manufacturing stage so items can be tracked accurately from supplier to store. Meanwhile, sporting goods retailer Decathlon implemented global RFID implementation to increase inventory visibility and decrease shrinkage.

As part of your inventory management plan, it can also be beneficial to utilize inventory tools that enable you to preorder products from suppliers when demand spikes; this is particularly effective with popular seasonal items. Once demand has settled down again, simply reorder those items so your customers always receive what they desire.

Omnichannel capabilities

Integration between retail inventory management software and other business systems such as warehouse operations, accounting and planning software is essential in keeping tabs on SKUs and inventory in real time, saving time by automating processes and eliminating manual data entry. Cloud-based inventory management systems may be especially convenient for store owners on the move since they can be accessed using mobile devices.

Omnichannel capabilities are essential to any retail business that aspires to expansion in the future. Omnichannel capabilities give a bird’s-eye view of all business operations – in-store inventory for each channel or department and online inventory at large – providing assurances to each customer that the correct stock is always available and providing consistent experiences across orders placed online or offline. Omnichannel capabilities also contribute to reduced shipping costs while optimizing inventory to maximize profit.

An omnichannel solution can also increase sales by making shopping more accessible across channels. Customers may buy on social media and pick it up later from a store location, or they can reserve items online then call to make arrangements for pickup later. These multichannel strategies build brand loyalty while increasing customer satisfaction.

Omnichannel functionality can assist retailers in saving money by minimizing shrinkage. By tracking inventory across multiple locations, this system can eliminate overstocking and stockouts by automatically creating purchase orders based on demand and updating inventory records in real time. In addition, it can identify returns/restocking trends to assist retailers make informed decisions regarding pricing promotions or product assortment.

Remember when Amazon opened those cashierless stores? Well, that’s just the tip of the iceberg. The future of retail inventory management is looking wilder than a TikTok dance challenge.

Show Me the Money: Investment Talk

Here’s the tea on pricing – it varies more than cryptocurrency values. Small businesses might get away with spending a few hundred bucks a month, while enterprise solutions could cost more than your first car. But here’s the real talk: can you afford NOT to have proper inventory management in 2025?

The Bottom Line (Because Every Good Story Needs a Conclusion)

Listen, I get it. Choosing inventory management software feels about as overwhelming as picking a show to watch on Netflix. But here’s the deal: the right system can turn your inventory headaches into high-fives.

Whether you’re a small boutique owner who’s tired of spreadsheet chaos, or a retail chain manager juggling multiple locations, there’s a perfect software match out there for you. Just remember – the best system isn’t always the most expensive or the flashiest; it’s the one that makes you forget about inventory management altogether because it just works.

And hey, if all else fails, remember this: even the most sophisticated inventory system can’t prevent customers from folding display items like they’re competing in an Olympic origami event. Some retail problems remain eternally unsolvable! 😉

P.S. If you’re reading this while doing manual inventory counts, stop torturing yourself and start shopping for software. Your future self will thank you!

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Types of Digital Marketing: A Comprehensive Guide for 2025 https://getaimonitor.com/types-of-digital-marketing-a-comprehensive-guide-for-2025/ https://getaimonitor.com/types-of-digital-marketing-a-comprehensive-guide-for-2025/#respond Fri, 10 Jan 2025 10:14:39 +0000 https://getaimonitor.com/?p=5966 Introduction Let me tell you something funny – the other day, my Aunt asked me what I do for a living. When I explained digital marketing, she replied, “Oh, so you’re one of those people who make those dancing videos on Instagram” Well, not exactly, Aunty, but you’re not entirely wrong either! The digital marketing […]

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Introduction

Let me tell you something funny – the other day, my Aunt asked me what I do for a living. When I explained digital marketing, she replied, “Oh, so you’re one of those people who make those dancing videos on Instagram” Well, not exactly, Aunty, but you’re not entirely wrong either!

The digital marketing landscape is as vast as my coffee addiction (and trust me, that’s saying something). Below are the leading 11 types of Digital Marketing and understand how they can help in your business-

1. Search Engine Optimization (SEO):  The Marathon Runner of Digital Marketing

Search Engine Optimization or SEO is the science of attracting specific types of traffic  to the website using a search engine. To master SEO, you need to create high value content with high authority backlinks and include keywords in that content that your ideal customers search for. This is the process of optimizing your website to rank higher on search engine results pages (SERPs) like Google. SEO basically focuses on highly organic search results, not paid or sponsored traffic. 

Picture this: you have a shop just next to Times Square, you are automatically getting thousands of visitors to your shop and compare that to a shop in dungy streets of the xyz area (I don’t know what place to mention while also remaining politically correct), where hardly anyone visits. 

That’s what it’s like on the internet today. If you are on the first page of Google SEPR for a high volume keyword, you magically have thousands of visitors coming to your website that you can later convert to a paying customer or client. However, if you are on page 3 or 4 you would be lucky to have even a single visitor in a month, depending upon the keyword volume obviously. 

As search engines attempt to give the most suitable answer to each person’s search query. You must ensure a search engine views your site as the most appropriate match. There are two key aspects of SEO:

  • On-page SEO: This involves optimizing your website’s content, structure, and meta tags to make it more appealing to search engines.
  • Off-page SEO: This refers to building backlinks from reputable websites, which boosts your site’s authority.
  • Technical SEO: Ensuring your website is easily crawlable and indexable by search engines. This includes factors like site speed, mobile-friendliness, site architecture, and XML sitemaps.

By focusing on SEO, you can drive organic traffic to your site without paying for ads, making it a cost-effective long-term strategy.

Real Talk Alert:

  • Technical SEO isn’t rocket science, but sometimes it feels like it (especially after your fifth cup of coffee)
  • Content is king, but user experience is the queen – and we all know who really runs the kingdom
  • Those green lights in Yoast aren’t a guarantee of success, just like my gym membership isn’t a guarantee of six-pack abs

2. Generative Engine Optimization: The New Kid on The Block 

Many of us have either prepared SEO reports or received them with search engine ranking (“SERP”) for specific keywords. However, as I have repeatedly discussed with anyone willing to listen, depending on SERP alone to measure content performance is becoming increasingly outdated.

I’m not saying that SERP rankings for specific keywords relevant to your business are entirely meaningless tomorrow or next week. However, it is a fact that Large Language Models (LLMs) have fundamentally changed the way we find and consume information. Thus, SEO, which was once an effective marketing strategy, is going to die the same fate as traditional publishing houses did after the advent of the Internet.

As I write this, AI is getting smarter (and slightly scarier), privacy regulations are tightening faster than my jeans after the holidays, and somewhere, someone is inventing a new social media platform that will probably make us all feel old again.

Generative Engine Optimization or GEO the term which was confined by yours truly can be considered as the next phase of SEO. As Google AI Overview, SearchGPT and Microsoft take over people googling information, whether your product or service is being recommended by these AI super lords 😀is more crucial and ever. If you want to see how your brand is performing in the AI era, AI Monitor offers tons of tools for that – just visit this link to learn more. 

3. Content Marketing: The Subtle Art of Not Being B***ng

Hey, when we talk about content, it doesn’t mean just keep creating Content. It is all about creating relevant and valuable content so as to engage, attract and convert them into your business. In 2024, creating content is like trying to have a conversation at a rock concert – you’ve got to be really interesting to get anyone’s attention. Remember when “content is king” was the hottest phrase in marketing? Now it’s more like “content is king, but engagement is the entire royal family. 

His ultimate goal is to provide the information which can attract them and can solve problems, educate your audience or entertain them with the relevant content. The content can come in various forms, including 

  • Blog posts and articles
  • Videos (tutorials, explainer videos, live streams)
  • Infographics and data visualizations
  • Podcasts and audio content
  • Ebooks, white papers, and guides
  • Case studies and testimonials

Content marketing works hand-in-hand with SEO, as high-quality content helps improve your website’s search engine rankings. By consistently publishing great content, you can position your brand as an industry leader, build trust with your audience, and drive conversions.

4. Social Media Marketing: The Town Hall of Internet

Platforms like Instagram, Facebook,  X formerly Twitter, LinkedIn, TikTok, Pinterest are utilised as Social Media Marketing to connect with audiences, build brand awareness, drive website traffic, and foster customer loyalty. Effective social media strategies include:

  • Organic Social Media: Creating and sharing engaging content, interacting with followers, building a community, and using relevant hashtags.
  • Paid Social Media Advertising: Utilizing targeted ads to reach specific demographics, interests, and behaviors, expanding reach and driving conversions.

If you think keeping up with your family’s group chat is challenging, try managing multiple social media accounts! One minute you’re crafting the perfect tweet, and the next, there’s a new platform where everyone’s posting videos of their breakfast set to orchestral music.

Platform Personality Types:

  • LinkedIn: The professional who takes themselves very seriously
  • Instagram: The friend who never shows up to dinner without taking photos first
  • Twitter: The chaotic cousin who starts arguments at family gatherings
  • TikTok: The teenager who makes everyone feel old
  • Facebook: The aunt who still shares minion memes

Businesses can be influenced by organic strategies by posting content regularly which is engaging and interacting with followers, or also they can use paid social media ads to reach a target and larger audience. Social media allows you to target specific demographics, on the basis of age, gender, location, and interests, so that your marketing messages can reach the right people or your target people.

5. Email Marketing: The Phoenix That Refuses to Die

Email marketing is one of the oldest yet most effective forms of digital marketing. Every year, someone declares “Email is dead!” And every year, email marketing continues to deliver ROIs that make other channels jealous. It’s like the Keith Richards of digital marketing – somehow still rocking and more relevant than ever.

It includes, target messages are sent to every person or a group who wants to receive all the details or any communication from your brand side. The prime objective of this type of marketing is to strengthen the relationships with your customers and encourage them to take action—it can be for making a purchase, signing up for a webinar, or downloading a free guide.

Types of email marketing campaigns include:

  • Newsletters: Regular updates about your business or industry.
  • Promotional Emails: Announcements of discounts, sales, or new products.
  • Transactional Emails: Order confirmations, shipping notifications, etc.

Email marketing offers a great return on investment (ROI), especially when you personalize your emails and segment your email list.

Pro tip: Want to know the secret to email marketing success? Write like a human being, not like a robot trying to impersonate one. Trust me, nobody has ever said, “Wow, this corporate jargon really speaks to my soul!”

6. Pay-Per-Click Advertising (PPC): Where Money Meets Math

Pay-Per-Click advertising, as the name suggests, is the one form of marketing where businesses have to pay a fee each and every time their ad is clicked. It can be easily seen on some platforms like Google Ads or on some of the platforms like Facebook, Instagram,etc. On the basis of their search for queries or interests , it will allow them to reach our target audience just by showing them ads in front of them.

With PPC, you can easily target specific keywords and demographics, you can set a budget, and just track the performance of your ads in real-time. Google Ads, for example, enables you to bid on keywords and have your ads appear at the top of the search results for those terms.

Affiliate marketing is working on a performance-based marketing model. In this you have to partner with other individuals or businesses to promote your services or products. Affiliates earn a commission for every sale or lead they generate through their marketing efforts.

Affiliate Marketing is highly effective because it leverages the influence and reach of others to boost your brand. It’s a win-win for both the business and the affiliate, as the affiliate earns a commission while you get more customers without having to pay upfront for advertising.

8. Influencer Marketing: Paying SUPER DUPER People to Come to Your Party 

Influencers are those people who have a significant following on social media platforms like TikTok, Instagram, Facebook, Youtube. When partnering is done with influencers to promote our services or products then it is known as Influencers Marketing. Involvement of Influencers is they will create relatable and authentic content which will help the audience to connect with your products and also it will help you to build trust and credibility.

Working with influencers allows businesses to tap into niche markets and reach highly engaged followers who trust the influencer’s recommendations. Influencer marketing can take many forms, from sponsored posts and product reviews to giveaways and brand ambassadorships.

9. Video Marketing: YouTube of Books  

If you go through the most popular apps, it includes YouTube, tik Tok and ofcourse Instagram Reels. So, as digital marketing is evolving with time – Video marketing is the most powerful form of digital marketing. It is evident that through video content you can connect more with your audience in a more personal way as it is easy to consume, engaging and also shareable. Whether it’s tutorial videos, product demos, behind-the-scenes footage, or customer testimonials, video can help you connect with them.

Video marketing also improves SEO, as search engines tend to favor video content in their results. A well-crafted video can convey more information in less time, making it an effective tool for educating, entertaining, or persuading customers.

10. Online Public Relations (PR): The LinkedIn of Digital Marketing 

PR is Public Relations and when we focus on building and maintaining online public relations it means engaging with media, managing reviews online and feedback, and also maintaining a positive reputation for your business and securing mentions of your brand in online publications or blogs. It also includes responding to customer inquiries, handling crises, and fostering good relationships with influencers and journalists.

By managing your online presence effectively, you can boost credibility, trustworthiness, and brand perception.

11. Mobile Marketing: Same Wine in a New Bottle

As almost all our people rely on smartphones because of which the importance of mobile marketing is increasing. Mobile marketing includes any marketing activity that reaches customers through their mobile devices. This includes:

  • Mobile-optimized websites and landing pages
  • Mobile apps and in-app advertising
  • SMS and MMS marketing
  • Push notifications and location-based marketing

To engage and reach your target audience, a must approach is to target them through their mobile devices as most of them are accessing the internet through their mobile devices. 

A Final Note (Because Every Good Story Needs One)

As the virtual landscape keeps evolving, there are endless opportunities and possibilities for marketing your business. If you focus on any of these from SEO, content marketing, social media, or explore newer methods like influencer marketing or video marketing, the best you can do is identify your audience and try to understand the platform where they are present in large numbers online. 

The best digital marketing strategy often involves a combination of these types, tailored to your business needs. By exploring and experimenting with different approaches, you can create a powerful marketing plan that drives traffic, engages customers, and boosts sales. Embrace the world of digital marketing, and watch your business thrive in this fast-paced, digital age!

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Introduction To Digital Marketing (AKA Digital Marketing 101) https://getaimonitor.com/introduction-to-digital-marketing/ https://getaimonitor.com/introduction-to-digital-marketing/#respond Mon, 06 Jan 2025 15:17:07 +0000 https://getaimonitor.com/?p=5874 What is Digital Marketing? Digital marketing typically refers to online marketing campaigns that appear on a computer, phone, tablet, or other device. It can take many forms, including online video, display ads, search engine marketing, paid social ads, and social media posts. Let’s picture a typical situation you probably experienced over the past few years, […]

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What is Digital Marketing?

Digital marketing typically refers to online marketing campaigns that appear on a computer, phone, tablet, or other device. It can take many forms, including online video, display ads, search engine marketing, paid social ads, and social media posts.

Let’s picture a typical situation you probably experienced over the past few years, especially during those Covid lockdown days. Imagine this: I’m lounging around in my PJs and a nice shirt, all set for a Zoom call 🙂 (don’t judge we all have done this). I suddenly realized I needed a new coffee maker (the old one’s gone to appliance heaven). I whip out my phone, and within minutes, I’m knee-deep in online ads, reviews, and videos. That’s digital marketing in action, my friend!

Simply put, digital marketing is anything you stumble upon while scrolling through your phone, tablet, or maybe that dusty laptop in the corner. It can morph into many forms—those catchy videos you can’t resist clicking on, those display ads that seem to know exactly what you’re thinking (Is it creepy or just brilliant? The jury’s still out), search engine marketing, the paid ads popping up on your favorite social media, or even the product recommendations you ask ChatGPT, more on this here. 

Did You Know? 90% of US adults go online every day. While 41% say they are online almost constantly

Digital Marketing vs. Traditional Marketing 

Just as Indian parents love to compare their younger kids with older siblings, digital marketing is often compared to “traditional marketing,” such as newspaper or magazine ads, billboards, and direct mail. Funny enough, television is also usually lumped in with traditional marketing. I can definitely relate to TV because whenever I attend my nephew’s birthday party, all the dads there are too old for me, and all the kids are just too young. 

Now, let me tell you, if you’ve ever dipped your toes into the immense pool of digital marketing these days, you just can’t ignore it. When I launched my first digital ad campaign, it felt like throwing spaghetti at the wall to see what sticks. Imagine the joy when I could check in on how it was doing in real-time—like being able to see if the spaghetti actually landed on the plate or ended up on the floor!

Moreover, I found the cost-effectiveness of digital marketing really appealing, especially as the founder of a bootstrapped startup with limited funds, and that was enough to seal the deal. 

Traditional marketing, on the other hand, is akin to trying to bake a soufflé without knowing what a soufflé is. You invest in a full-page magazine ad; hopefully, it pulls in customers. But if something goes awry, good luck making adjustments without shelling out more money. I once had a friend who spent a small fortune on a billboard, only to realize it had a typo in the phone number. It took ages to realize this and even longer to make the changes. 

Speaking of editing your ads once they are live, in the wonderful world of digital marketing, you can tweak your content on a whim—like adjusting the thermostat until it’s just right. Want to change a phrase? Go ahead! However, with traditional marketing, once that ad is printed, it’s as final as words written in stone. 

Just to be clear, I’m not saying traditional marketing has no merit and should be ignored altogether. Who doesn’t remember those awesome billboard ads from Google, the quote-unquote king of digital marketing. 

However, I’m trying to make the point that whatever your business, you can’t ignore digital marketing and the perks that come with it—freedom, flexibility, and frugality are all within reach! Sure, it requires strategy and a bit of finesse, but if you play your cards right, the possibilities are endless. It’s like having a never-ending buffet where you can sample everything without worrying about the calories—well, at least until the next analytics report comes in!

Why is digital marketing important?

Now, let’s get real: if your business isn’t riding the digital wave, you might as well be sending smoke signals to get your message out. Whether you’re selling handmade soap on Etsy or just trying to offload that vintage lamp from your grandmother (you know, the one that’s seen better days), having a digital presence is key. It’s like throwing a virtual party and inviting the world—who wouldn’t want a piece of that action, right?

And trust me, making noise online isn’t just for the big brands splashing cash everywhere. Remember, the main goal of digital marketing is to grab attention. You want a crowd around your little booth at the marketplace, so to speak, and get folks excited about what you’re  serving. It’s all about creating buzz and connecting with people genuinely interested in what you offer. 

As mentioned earlier, 90% of US adults are online daily. That’s a crazy number of potential customers waiting for you to grab their attention—think about all the opportunities! 

Conclusion 

To sum up, digital marketing is your ticket to spreading the word, connecting with people, and getting them to take action. If you’re ready to dive into this exciting digital world, remember: it’s not just about what you’re selling but how you connect with your audience. So, get ready to dive in, put on your marketing cap, and let’s create some digital magic!

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What is LLM SEO / LSO / GEO / GAIO / LLMO? https://getaimonitor.com/what-is-llm-seo-lso-geo-gaio-llmo/ https://getaimonitor.com/what-is-llm-seo-lso-geo-gaio-llmo/#respond Mon, 01 Jul 2024 09:35:58 +0000 https://getaimonitor.com/?p=5937 Introduction Before delving into the definitions of these terms, it’s essential to understand the context: the way we seek information has fundamentally changed with the advent of large language models (LLMs). As people start using ChatGPT and similar tools instead of traditional search engines like Google, digital marketers face the challenge of ensuring their brands […]

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Introduction

Before delving into the definitions of these terms, it’s essential to understand the context: the way we seek information has fundamentally changed with the advent of large language models (LLMs). As people start using ChatGPT and similar tools instead of traditional search engines like Google, digital marketers face the challenge of ensuring their brands are well-represented across various LLM-powered search platforms.

Definition of LSO / LLM SEO / GEO / GAIO / LLMO

The definitions of all these terms refer to enhancing content for LLM-powered AI search engines like ChatGPT, Microsoft Copilot, Google AI Overview, and Perplexity AI, among others. Since this is an emerging field, there has yet to be a consensus on what term should be used to explain the process of enhancing content for these platforms.

For example, a recent article in the Harvard Business Review simply states it as LLM Optimization. The wonderful people at SearchEngineLand also mention it as LLM Optimization or generative AI optimization (GAIO). At the same time, a team of researchers from IIT Delhi and Princeton have labeled this process Generative Engine Optimization (GEO).

These terms can be uninspiring at best and inaccurate at worst. For example, “LLM Optimization” is commonly used in data science to improve LLM performance and productivity. Additionally, the term GAIO could be catchier. Lastly, the term GEO uses “generative engines” to refer to LLM-powered search engines, which I believe adds more confusion. Most people are familiar with LLMs but may not know what generative engines are.

So, I propose the term LLM Search Engine Optimization, in short, “LLM SEO” or “LSO,” for the process of influencing LLM-powered searches so that their output benefits a particular brand or product.

I will let the industry decide whether they prefer “LLM SEO” or “LSO. The great thing about LLM SEO is that it is pretty self-explanatory but long. On the other hand, the term LSO is simple and short but needs a bit of explanation.

Why is LLM SEO / LSO the Future?

If you don’t believe that ChatGPT and similar LLM-powered search platforms will dominate the future, let me list three reasons why:

  1. The Rise of LLMs
    Apps like ChatGPT and Bing Copilot are becoming increasingly popular, and users depend on them as their primary source of information.
  2. Generated AI Answers Limit Web Traffic
    AI-powered answers, such as Google’s Generative Search Experiences, push traditional search results down the page.
  3. Traditional SEO Doesn’t Work in the Age of AI
    Traditional SEO strategies concentrating just on keyword optimization are unsuccessful in the AI-powered search era.

As a result, digital marketers now face a new challenge of ensuring their brands are well-represented in the outputs produced by each LLM, which are too numerous to count on one hand. Microsoft’s Copilot, Google’s AI Overview, and Perplexity are the most notable.

SEO vs. LLM SEO / LSO

As you might know, SEO mainly concentrates on improving a website’s ranking in traditional search engine results pages (SERPs). For instance, if you search “best project management tools”, you will be shown a list of links that Google thinks are most relevant to your query.

If you are selling a project management tool, these keywords may be crucial for your success. SEO typically involves techniques such as keyword research, creating higher-quality content, and building backlinks.

LLM SEO / LSO, on the other hand, is a newer concept that came into the limelight with the growth of LLM-powered AI search engines. LLM SEO / LSO includes leveraging techniques to enhance a brand or content’s visibility in the responses generated by these new-school search engines.

Moreover, SEO mainly targets traditional search engines that list websites based on user queries. Meanwhile, LLM SEO / LSO focuses on AI-driven search engines that generate comprehensive responses using artificial intelligence.

Conclusion

For the reasons mentioned above, it is very important for businesses to track their brands and content’s performance on various LLM-powered AI search engines as they are doing other marketing efforts. My co-founder and I also faced this problem and tried to find tools for it, but they couldn’t find one after much effort, so we decided to launch AI Monitor.

AI Monitor is a powerful tool designed to track brand performance across various LLM-powered AI search engines in response to specific queries. For example, Hyundai may want to monitor the prompt “What is the best family car?”

Key Features of AI Monitor

AI Motool offers a range of features, including tracking brand mentions and content impressions and monitoring competitor activity for specific queries. It also provides alerts to safeguard your brand’s reputation in critical situations. Most notable are:

  • Monitor What Matters: Track brand mentions, content involvement, competitor activity, and custom prompts across major LLM platforms.
  • Protect Your Reputation: Identify and address harmful AI-generated content with immediate warning and opinion evaluation.
  • Competitive Edge: Earlier connecting with LSO can provide an essential advantage in the quickly changing digital landscape.

That’s why AI Monitor is now an essential tool for businesses navigating the world of AI search.


Sources:

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How To Manage Your Brand in the Age of AI: Top #7 Tips and Tricks https://getaimonitor.com/how-to-manage-your-brand-in-the-age-of-ai/ https://getaimonitor.com/how-to-manage-your-brand-in-the-age-of-ai/#respond Wed, 05 Jun 2024 15:28:23 +0000 https://getaimonitor.com/?p=5877 Ah, the age of AI—it’s like we’re all living in a sci-fi movie, isn’t it? I hope we somehow avoid Skynet. According to a report released last year very aptly titled “2023 State of Marketing AI Report” prepared by the amazing people at Marketing Artificial Intelligence Institute, 98% of marketers already use AI in one way or […]

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Ah, the age of AI—it’s like we’re all living in a sci-fi movie, isn’t it? I hope we somehow avoid Skynet. According to a report released last year very aptly titled 2023 State of Marketing AI Report prepared by the amazing people at Marketing Artificial Intelligence Institute, 98% of marketers already use AI in one way or the other.

In a market filled with tools and creating the pressure to accept them immediately, it’s common to feel overloaded. Selecting the accurate tools and using them in a productive way can be challenging. If you’re dealing with these questions, then trust me you’re not alone.

Remember the good old days when all we had to worry about was getting our website to rank on Google? Now thanks to AI, all the efforts that we have put into SEO is down the drain. I like to call this era “The Great SEO Reset. Why do you ask? Most of the traditional SEO tricks don’t seem to work with Large Language Model Search Engine Optimization (“LLM SEO”).

In my opinion, brands that harness AI today are the ones that will upend the market tomorrow. Just as the internet disrupted many industries, the recent advancements in AI will have a similar effect on businesses solely relying on SEO for the majority of their revenue. So, are you one who is inspired and can predict the upcoming tsunami or someone who simply follows the herd kind of attitude? I’ll let you decide.

AI Is Changing Your Brand. Is Your Brand Changing With It?

Whether you’re thrilled or terrified, AI is reshaping your brand and content. LLMs are like vacuum cleaners but for everything written on the Internet. You don’t know when generating a response for a user prompt, it was influenced by inaccurate information, conflicting data, or negative reviews by disgruntled employees or customers. Such occurrences can severely damage brand reputations, a scenario no marketer wants to confront.

A few years ago, no one wondered what the worst brand in electronics was. Nobody for creating such a list without risking getting sued. However, today if you enter this prompt in any of the popular LLM-powered AI search engines such as ChatGPT, Copilot, or Perpexility, they will generate a very long list with many marquee brands getting a spot. You get my drift, right?

For instance, we came across this about Royal Basmati Rice:

Nobody wants to be in their position, but it is happening to millions of brands as you read this whether they like it or not. Now, before you go doom scrolling to see how your brand is faring, hang tight. I’ve got some golden nuggets that might just save you from digital oblivion.

Branding in the Age of AI

How to Prepare for the Future of Consumer Interactions

Tip #1 – Brand Positioning and Value Proposition

Over a century ago, a soda company, let’s call it XYZ Cola, introduced a product that no one had ever seen before—the first-ever cola drink. This move effectively established the company as the original. Today, that company which you must have guessed by now is Coca-Cola enjoys millions of sales worldwide and has become the benchmark against which other cola brands are evaluated.

Brand positioning is crucial for a company to distinguish itself from competitors. Whether intentionally cultivated or not, a company has a reputation; creating a brand positioning plan can help control this reputation and brand image.

So, this tip is crucial for laying the foundation for becoming a brand and involves four major activities. You should start with brainstorming, and by the end of this process, you should have identified your brand’s core association.

However I must put forward a caveat that not all brand positioning strategies are identical or pursue the same objectives. The nature of the offering and the industry will determine the variance in positioning and messaging.

Let’s break down this process into three steps:

Step 1 – Brainstorming Your Core Association:

Gather and create an effective team and write down each and every feature that represents your brand’s essence. Is it innovation, trust, or a kind of uniqueness?

Step 2 – Crafting Your Mental Map:

By Visualizing these features, choose which ones are the most important and How do they are related to each other?

Step 3 – Understanding Your Competitive Landscape:

Analyze your market into a deeper way. Classify your target audience. Identify where you stand and forecasted at the same time where you want to go.

Tip #2 – Personalization with accurateness: Leverage AI for Targeted Communication

It is a well known fact that AI is excellent at analyzing large and complex data in a simpler and an easier way. We can use it to evaluate user interactions and modify your communication. Personalized emails, special offers, and content that make an intended impression can transform your user experience.

Tip #3. Developing a Scalable AI Foundation: Invest in the Future

Creating an AI infrastructure isn’t an inadequate DIY project. Plan attentively! Factors which we can consider include the capacity for data storage, the processing power needs for complex AI algorithms, and the expertise required to manage and maintain an AI system productively.

It’s important to choose appropriate solutions that can smoothly grow with your business, letting you to continually control the power of AI as your brand develops and your needs expand.

Top Statistics

Statistic Insight
AI Investment Growth: AI in the marketing sector is projected to skyrocket from $2.4 billion in 2020 to $32.7 billion by 2026. (Source: MarketsandMarkets) That’s one extreme gap, isn’t it? It’s like businesses are in a competition to apply AI to their branding so they don’t get left behind in the competition.
Marketing Leaders and AI: A whopping 87% of marketing managers think AI is about to turn the whole marketing world upside down by 2025. (Source: Salesforce) With so many chiefs in agreement, don’t you think there might be something pretty big going on here? They’re betting on AI to stir things up.
AI-Powered Customer Interactions: Get this: they said that in 2025, 95% of customer switches are going to be governed by AI. (Source: Servion) At present, that’s not just a movement; that’s a whole earthquake. It means that in a short time, AI could be the favorable face of your brand.
AI’s Role in Data Strategy: 62% of market sensations point out that AI is the big shot in their data strategy. (Source: Forbes) Data is like a king, and with AI we can say it as right-hand man, marketers are looking to rule their domain with an iron – or should I say silicon – fist.
Understanding Customers: And guess what? A solid 75% of marketers reckon AI can lend a hand in getting to know their customers better. (Source: Pega) Looks like AI is the crystal ball marketers have been waiting for, promising to peel back the layers of customer mystery.

Tip #4 – Optimizing AI for Customer Lifecycle Management

I accept that this is the most visible use case. AI can work wonders for user retention and brand loyalty. Personalize onboarding, offer targeted support, and tailor retention strategies to keep your customers engaged and happy.

Tip #5 – Enhancing Product Development with AI Insights

AI can be your secret weapon in product development. Don’t believe me, let me explain how it can be done:

  • Analyze customer data to identify unmet needs and desires. Use AI to uncover patterns in customer feedback, social media discussions, and product reviews. This can spark innovative ideas for new features or entirely new products.
  • Predict market trends and anticipate future needs. AI can analyze vast datasets to identify emerging trends and predict how customer needs might evolve. This foresight allows you to develop products that are well-positioned for future market demands.
  • Optimize product design and functionality. AI can evaluate the user behavior data to find the areas where product design can be improved. This can make it more natural and user-friendly products by which it can meet customer needs and wants in a productive way.

Tip #6 – Improving Customer Interactions: Powering AI-Driven Experiences

AI can promote customer support to a new edge. Duh! Think of 24/7 chatbots and AI-driven recommendation systems that suggest exactly what your customers want.

Tip #7 – Ethical Use of AI: Building Trust and Transparency

Transparency is an essential key. Be ready about how you use the data and protect customer privacy. Describing AI’s role in improving their experience, and being honest about its disadvantages.Trust is built through honesty.

Conclusion

Embrace AI, but let your brand identity guide its use. Follow these tips to thrive in this AI-driven landscape. Remember, AI is a tool without any inherent cognitive ability (as far as we know) — your brand’s core values and identity are the compass you must traverse on.


References:

  • KamelBPO | Outsourcing Social Media Marketing Services to the Philippines | Philippines Outsourcing Solutions.
  • Artificial Intelligence and Corporate Innovation: A Review and Research Agenda.
  • Suomala, J., & Sihvonen, A. (2019). The Impact of Artificial Intelligence on Branding and Brand Management: Opportunities and Challenges. Journal of Brand Management, 26(5). This scholarly article dives into how artificial intelligence is shaking up the way companies manage their brands. It’s not all smooth sailing, though. Imagine your favorite brand suddenly knows what you want before even you do – sounds cool, right? That’s the personalization bit the authors talk about. But then there’s the flip side: What does this mean for your privacy? The piece gets you thinking.
  • Rodriguez-Garcia, M. A., Guerrero-Bote, A. M., & Tena-Junguito, J. A. (2020). The Impact of Artificial Intelligence on Branding: A Systematic Literature Review. Journal of Business Research, 116. For all the detective work enthusiasts out there, here’s a comprehensive overview of discussions about the impact of AI on branding. It’s like a highlight reel of all the major conversations on the topic, woven together to give us a complete picture. It covers ethical considerations as well as a positive outlook on creating personalized customer experiences.
  • González-Benito, J. C., Rodríguez-García, M. A., & Guerrero-Bote, A. M. (2020). The Impact of Artificial Intelligence on Brand Equity: A Systematic Literature Review. Journal of Business Research, 116. Holding onto customers is like trying to keep a hat on in a windstorm, isn’t it? This study says AI might just be the equivalent of a good hatpin. It digs into how AI can make customers stick around because they feel like the brand gets them. But it’s not just a one-trick pony; it also crunches data to help businesses make sharper decisions. Who knew algorithms could be so thoughtful?

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Google AI Overviews: What We Know So Far https://getaimonitor.com/google-ai-overviews-what-we-know-so-far/ https://getaimonitor.com/google-ai-overviews-what-we-know-so-far/#respond Tue, 14 May 2024 09:16:57 +0000 https://getaimonitor.com/?p=5930 Release of Google AI Overviews Google hosted its annual I/O developer conference last Tuesday and introduced a series of artificial intelligence products. These include new search and chat features and AI hardware for cloud customers, underlining Google’s insistence on AI even as rivals like OpenAI emerge. Transforming Search with AI Overviews The switch from traditional […]

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Release of Google AI Overviews

Google hosted its annual I/O developer conference last Tuesday and introduced a series of artificial intelligence products. These include new search and chat features and AI hardware for cloud customers, underlining Google’s insistence on AI even as rivals like OpenAI emerge.

Transforming Search with AI Overviews

The switch from traditional results based on links to summaries generated by AI reveals a step towards a more intuitive and integrated search experience. Many industry experts have referred to this as the ‘day zero’ of Google search, the information retrieval technology that makes it easy for users to get quick insights into complex topics without having them move away from their initial queries.

Generative AI significantly shifts from traditional keyword-based searching towards more intuitive, context-aware methods. It can generate and comprehend text that sounds human-like, so users get a comprehensive overview of their search queries immediately.

With the help of Gemini, Google’s latest AI model, they aim to revolutionize users’ interaction with search results. To start, Google has introduced AI Overviews (earlier Google SGE), which essentially provides a summary of search results with links for further details, transforming how users search for information on Google.

Building on the capabilities introduced with SGE, Google is pushing the boundaries of AI in search, making it faster, more precise, and exceptionally user-friendly. As AI Overviews roll out to users in the United States with plans for global expansion, casual users and professionals in fields like marketing should notice.

What Are Google’s AI Overviews?

AI Overviews is a new Google search feature that uses generative AI to create quick answers to search queries through a topic preview with links to learn more. Powered by Google Gemini, it combines information from multiple online sources to save the searcher time and provide a general overview – hence the name.

Example and Rollout

As announced on May 14th, Google began rolling out AI Overviews to US-based searchers, with plans to expand to other countries. Originally introduced as part of the Google Search Labs experiment, Search Generative Experience (SGE), users had to opt into this feature. By the end of 2024, AI Overviews will be available to over a billion searchers.

How Do AI Overviews Work?

Here’s a general model of how AI Overviews generate responses:

  • Query Processing: Once you type in a query, the AI transforms your words into a vector, just as ChatGPT works.
  • Document Selection: Google’s algorithm selects a few relevant web pages containing information related to the generated response.
  • Fact-Checking: These chosen documents act as fact-checkers. If there is any contradiction between the AI-generated text and the information provided in these documents, then the AI modifies its response accordingly. Hence, you can see the “sources” mentioned each time.
  • Evaluation: An extra evaluation step might be required to determine the response’s accuracy and relevance before presenting it.

The Impact of AI Overviews on SEO So Far

At one point, an AI summary was produced by about 85% of search queries. However, this trend has undoubtedly reversed, and at present, approximately 14% of searches produce an AI Summary. The likelihood of triggering an AI summary varies considerably across domains, fluctuating between 1% and 25%.

User Concerns

Currently, users cannot opt out of AI Overviews, leading to frustration among some who have flooded Google’s help forums for advice on disabling them. The Google trends chart for “turn off Google AI” spiked over the week that AI Overviews were launched, highlighting widespread discontent.

Given the scale of its release and the extensive amount of Search Engine Results Page (“SERP”) real estate it takes up, SEO professionals are concerned about how it will impact their organic rankings and overall SEO performance.

Concerns for Publishers

Traditional page views may be adversely affected when AI Overviews consolidate content, leading to decreased ad revenue and lower content engagement. Based on habits that emerged during the past year’s testing phase of Google’s AI overviews, about 25% of the traffic could be negatively affected by the de-emphasis on website links, said Marc McCollum, chief innovation officer at Raptive. (Source)

Transactional Keywords and Local Intent

In some cases, AI Overviews may be seen for longer-tail queries with transactional intent but only sometimes for short-tail ones. AI Overviews no longer show for local queries based on our sample. However, this might change in the future.

Informational Keywords are Most Affected

AI overviews are mainly triggered by informational searches, especially those related to procedures or tasks.

Authoritative Domains

AI Overviews are available for authoritative domains such as health, legal, and finance. However, they often come with the recommendation to consult experts in the field and to use the advice at the user’s own risk.

Why Are AI Overviews So Limited?

The limited appearance of AI overviews suggests some hesitation from Google in launching a full-scale implementation. Potential reasons include:

  • Intent mismatch between search queries and AI Overviews.
  • Lack of authority and trust in AI overview results.
  • Fewer filters and features compared to traditional search results.

Monitoring the Impact of AI Overviews on Rankings and Traffic

Embracing LLM SEO or Generative Engine Optimization

LLM SEO / GEO revolves around content optimization for generative engines, which makes it vital for any content creator who desires to succeed in an AI-dominated search scene. Content creators can significantly increase the visibility of their content in artificial intelligence-based searches by employing LLM SEO/GEO strategies.

If you want to learn more about this topic, check out the LLM SEO LeaderBoard. It covers almost all the techniques and hacks that are currently available.

AI Monitor Tracker

With AI Monitor, you can track how frequently your content appears not only in AI overviews but also on other platforms such as ChatGPT, Perplexity, and others. After adding your website and setting up tracking for your selected prompts, the tool will begin monitoring your site’s visibility across nearly every LLM-powered search engine.

Brand Mentions

AI Monitor Brand Mentions is a fantastic tool for tracking brand mentions in AI summaries across various platforms. It’s like having a spotlight on your content, even if it’s not ranking high traditionally.

AI Semantic Rating

In addition to the above, we help marketers track whether AI summaries portray your company as a hero or a villain in a fairytale. AI Monitor analyzes sentiment in AI summaries to ensure that your content is accurately portrayed.

LLM Click Rate

We have also invented a novel framework for analyzing website prominence in AI summaries. Here, we present the “LLM Click Rate (LCR)” score, which is based on several significant metrics weighed by their importance in showing the true exposure of the website within LSE responses. You can learn more about this framework here.

Conclusion

The key point is: don’t panic. Most AI responses are aimed at less common, less searched-for queries, which are generally unlikely to have a significant impact on most sites.

Why stress about your website’s SEO when you could prioritize these vital queries for your site instead? If you notice AI Overviews appearing for specific queries, aim to become one of the featured sources.

If you want to learn more about how to feature your content or brand on LLM-powered search engines, check out the LLM SEO LeaderBoard, which covers almost all the techniques and hacks known to mankind.

The post Google AI Overviews: What We Know So Far appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

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