Tag Archive for: #SEOROI

16 billion password data breach hits Apple, Google, Facebook and more — LIVE updates and how to stay safe – Tom's Guide

16 billion password data breach hits Apple, Google, Facebook and more — LIVE updates and how to stay safe  Tom’s Guide
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Top 10 Important SEO Tips For Dominating Search Engines – Simplilearn.com

Lesson 7 of 8By Sana Afreen

SEO is a fundamental part of marketing that helps in improving the site's visibility for relevant searches. Suppose your site doesn't show up on the first page of the Search Engine Result Page, you are not doing something right. And this article has a solution to your problems. 
If you want to make your website the benchmark for search engines & users, have a look at our top 10 SEO tips which can be helpful for your website to rank at #1
We recommend that you take a look at our Complete Guide to Search Engine Optimization.
So, let's get started and look into our first tip.

Over the years, the way users search for information online has transformed significantly. It is time for you to know what the current state of google voice search optimization is, if you have not done so already.
Voice search will affect search queries in 2021. According to dailogtech.com, in the United States of America, 55 percent of households will have their smart speaker by 2022. In that case, if you are planning to optimize for voice search, follow the below steps: 
According to Forbes, voice search drastically improves user experience. As we use it extensively, search engines such as Google are focusing on voice search optimization.
Google voice search shows websites on top that load quickly. In that case, you must always ensure that:
A good user experience on your website confirms that your audience can find it with ease. Knowing these 8 mobile friendly optimisation tricks is essential for marketers to understand how important it is to make their site mobile friendly. A mobile-friendly website surely helps with ranking.
SEMRush confirms that by "2025, approximately 73% of internet users will access the internet through mobile devices".
Mobile-friendly updates by Google resulted in a significant change in website rankings.
Have a look at how effective your mobile website is by using Google's free mobile-friendly test. Also, take a peek at the "mobile usability" report in the Google Search Console.
Google has confirmed, "content quality is an essential factor for ranking on search engine result pages". 
But what does "quality" mean to Google?  
In simple terms, content that fulfills the Google EAT principle will rank higher, whereas EAT stands for expertise, authoritativeness, and trustworthiness. These elements help determine if a web page has high-quality content. 
Google uses its algorithms to deliver the best results to the users. 
For example, Google Panda is one of the famous algorithms which ranks a website based on content quality. It eliminates web pages from the index that have low-quality and duplicate content. 
Another example is the RankBrain algorithm. RankBrain uses AI to interpret search queries that the audience search on Google.
For example, when you search for chocolate cake recipes, you will also get results for chocolate truffle cake recipes on the search engine results page. 
Google panda and RankBrain send spiders to crawl websites and, as a result, they show the most relevant and high-quality search results content on the top of the result page of search engines.

It features these results in the top part of the page. Google programmatically chooses the best answer from a third-party website and displays it in the featured snippet. 
Want to understand how featured snippets works, and how significant they are.
Here's how a featured snippet looks.

According to Ahrefs, "for a specific search query, almost 99% of web pages shown in the featured snippet already rank on SERPs' first page." 
Some of the key ways to optimize featured snippets are: 
Note: Suppose you want to create snippets, plan on creating question-based questions along with the relevant keywords. For ideas, you can also look at the Google search option, "people also ask." 
According to SEMRush, "image optimization will play a prominent role in the search." This means if the images on your website aren't optimized, make sure to optimize them. 
Remember to use high-quality images, relevant images, and a suitable label for your image file. 
Include images to your site map as it becomes easier for spiders to crawl. Also, using alt tags will help crawlers to classify images easily. 
Note: When an image cannot load on a user screen, alt-text is displayed on the webpage.
Google uses alt-text to understand the context from images.
A well-optimized image enhances your web page rank and user engagement. Also, image optimization can help your webpage show up in the image carousels on search engines.

Semantically related keywords are the interpretation of a word.
For example, for a keyword like "chocolate cake," some semantically related keywords could be chocolate recipes and chocolate truffle recipes.
Let's learn how to research keywords for your SEO strategy from scratch.
Semantic keywords have a higher impact on website ranking. We link them to the primary keywords and help in gaining relevant traffic on the Search Engine Results Page. 
Also, you can have a look at Google SERP for LSI keywords. 
Want to know how to select the right Semantic keywords? 
As an alternative, the process can also be done with the help of a comprehensive keyword tool
Suppose a marketer aims to focus on a successful long-term SEO strategy, building quality links cannot be neglected.
In 2016, Google declared that building quality links are one of their top 3 ranking signals. 
Always choose quality over quantity when building links to your content. Follow these steps for building high quality links to your product and category pages to improve your search engine rankings.
Let me share a few effective strategies as it will increase the number of links pointing to your website dramatically:

Local SEO focuses on optimizing websites that appear on SERPs in a specific location. Optimizing local SEO drives more website traffic and conversions since the strategy is more relevant to local audiences.
This strategy is the best way of marketing your products to specific location-based customers. Take a look at these local listing SEO tips to help your business stand out.
According to Google, "Local results are based on relevance, distance, and prominence. These factors help Google find the best match for your search". Because of this reason, it is essential to have your NAP details correct and consistent. 
SEMRush confirms that "Local Search Listings Will Play a Larger Role in SEO Strategies." Suppose you are planning to get your business into that local pack, go to Google My Business page and create your own. 
Note: Google My Business requires a strong backlink profile.
"Simplify navigation" is another word for "improve the user experience." Site navigation is a key factor for your search engine ranking. 
For the past few years, UX has become an important ranking factor for Google. 
To understand the concept in an easier way, consider the partnership of Search Engine Optimization and User Experience this way: SEO emphasizes search engines, whereas UX focuses on website visitors. Therefore, both share a common goal of giving users the best result.
This is what the content king app says about user experience:
content-king
Let us share a few practices on how to effectively leverage UX design to improve a site's SEO performance:
According to Searchmetrics, "36.6% of search keywords bring up at least one featured snippet that's derived from schema markup."
Many marketers believe schema markup is a significant opportunity to rank your web page on the first page of SERP. 
Schema markup is microdata added to the website to help Google return relevant results to searchers. Suppose you've used rich snippets, you'll know what schema markup is all about.
In simple words, schema markup is extensively used to define website content. Adding structured data gives your website visibility on SERP and also increases site ranking. 
Some of the schema markup examples are 
That was all about the SEO tips one needs to know, to rank higher on Google. 
Whether you’re an experienced Digital marketer, or you’re aspiring to break into this exciting industry, enrolling in our Digital Marketing Master’s program will help you with all levels of experience master Digital Marketing techniques and strategies. 
If you are looking for a career in SEO, our SEO interview questions will help you to prepare for the interview.
If you have any questions about the article, please feel free to share them with us in the comments section of this article; our experts will get back to you as soon as possible.
Sana Afreen is a Senior Research Analyst at Simplilearn and works on several latest technologies. She holds a degree in B. Tech Computer Science. She has also achieved certification in Advanced SEO. Sana likes to explore new places for their cultures, traditions, and cuisines.
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19 Best Generative AI Tools for a Variety of Uses (2025) – Shopify

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Whether you’re looking to make images, video, music, or websites, there’s a generative AI model that can help you achieve your creative vision.
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Think about your most recent interaction with online customer service. When you got answers to your query, were they provided by a human or a machine? It’s increasingly hard to tell, thanks to the advent of AI chatbots built with natural language processing. 
But artificial intelligence goes further than that. Machines can now create content that mimics the work of human artists. This includes producing still images, logos, videos, and musical compositions.
Here’s a primer on using generative AI, including a list of the market’s top generative AI tools.
Generative AI is a branch of AI focused on creating new content, like text, images, music, and even videos. You can think of generative AI technology as a creative partner that can help you brainstorm ideas, generate creative outputs, and refine your existing work. 
A generative AI model goes beyond the work of a standard AI chatbot. It can create content that it was never explicitly programmed to generate, thanks to the power of machine learning.
Even though a generative AI tool can produce human-like responses to questions, along with other creative output like images or music, it’s inaccurate to say that AI technologies possess human intelligence. 
AI-powered tools simply use machine learning to mimic human behavior, using the training data they are fed. Generative AI solutions are actively transforming the creative content marketplace, but the machines are far from having human-level reasoning.

Generative AI models work in two stages: pattern recognition and content creation. Here’s a rundown of both.
Generative AI tools typically are large language models trained on massive datasets of existing content. Some are also trained on massive amounts of visual data, which enables art generation with remarkably detailed imagery. 
This training data could be anything from books and articles to paintings and symphonies. By analyzing these examples, the AI learns the underlying patterns and relationships within the data.
Once trained, the generative AI model can use its knowledge to create entirely new content. It does this by predicting what should come next in a sequence, whether it’s the next word in a sentence or the next brushstroke in a painting.
A modality is a type of data that an AI model can understand. A multimodal model means it can ingest and generate text, image, audio, and video. 
For example, ChatGPT-4o can answer a question about a photo then reply with an explanation and annotated image instantly. Gemini offers the same cross-format reasoning, letting retailers feed PDFs, product shots, and voice notes in one prompt. 
For commerce teams, a single prompt can yield a TikTok-ready product demo with music, subtitles, and alt text. 
The best generative AI tools will not only boost productivity, but they will also provide you with genuinely useful content that you can showcase on your website or marketing campaigns. Here are some of the top generative AI programs you can use as a content-generation tool:
Shopify Magic uses information you provide to generate suggestions for content such as product descriptions, email subject lines, and headings in your online store. You can transform the background of product photos and create text for a professional looking ecommerce store. Shopify Magic provides you with the tools you need to create your product descriptions and help you get your store up and running fast.
Advantages: Shopify Magic is integrated with your Shopify platform, so all you need to do is use it. Shopify is dedicated to releasing additional AI-powered tools, like Sidekick, to help entrepreneurs with everything to do with running a commerce site.
Pricing: Included in the price of the Shopify platform.
Shopify Magic
Shopify Magic makes it easier to start, run, and grow your business. Our groundbreaking commerce-focused AI empowers entrepreneurs like you to be more creative, productive, and successful than ever before.
AI designed for commerce
This generative AI software from Open AI offers a powerful large language model that anyone can use for free. OpenAI’s latest release, GPT-4o (“omni”), is a multimodal large-language model that reasons across text, images, and live audio in real time. You can also use it to generate images via its DALL-E software. ChatGPT automatically uses your responses to train the model, though you can opt out of this in the settings.
Advantages: GPT-4o ably handles natural language queries, which makes it excellent for creative writing. It can also generate software code from natural language prompts, providing code suggestions with context awareness.
Pricing: A limited version, GPT-4.1 mini, is free, while full-featured paid plans start at $20 per month.
Formerly known as Bard, Gemini 2.5 is a content generation tool developed by Google. Its key features largely overlap with those of ChatGPT. They include multiple creative writing formats plus the ability to translate languages and fine-tune results using text inputs.
Advantages: Gemini integrates with other Google products, including Google Search and Google Workspace software. Google has invested a lot of money in AI innovation, which makes Gemini a promising candidate for large improvements over time.
Pricing: Gemini is free to use, but Google is in the process of rolling out a pay-as-you-go model for power users.
Claude is a business-focused AI platform developed by Anthropic. Compared to other generative AI models like ChatGPT, it has similar functions, whether that’s generating prose or writing code in various programming languages. 
It can process both text and photo inputs and won’t use your responses to improve the model unless you give the company permission. Anthropic makes a point of publishing its safety protocols.
Advantages: The platform focuses on ethical and secure content generation, making it a strong choice for business use.
Pricing: Claude is free for limited usage. Claud Pro costs $17 per month.
Copy.ai focuses on online marketing, including email campaigns, blog content, and social media posting. It lets users focus on either sales goals or marketing goals, providing text generation for both purposes. It offers multiple copywriting templates, plus content localization options.
Advantages: Copy.ai sports a user-friendly interface. Its clear business focus makes it ideal for generating marketing copy and social media content.
Pricing: Copy.ai offers a free plan with limited features, with paid plans starting at $49 per month when you pay for a year upfront.
Copilot is Microsoft’s all-in-one generative assistant that lives inside Word, Excel, PowerPoint, Outlook, Teams, Windows 11, and the Edge browser. It’s similar to Google’s Gemini. You can draft emails, presentations, and Excel formulas in Microsoft 365 apps. It also has a built-in DALL-E 3 panel that generates images and social assets. 
Advantages: Enterprise-grade data handling. Data is isolated and excluded from OpenAI’s LLM training by default. It’s accessible anywhere you see the Copilot icon.
Pricing: Free tier in Bing/Edge and Windows 11. Paid plans start at $30 per user per month. 
Midjourney enables users interested in dreamlike, artistic images to make them from simple text descriptions. If you want to generate images that are somewhat outside the box, like space-age AI avatars or surrealistic comic books, you can type some simple text descriptions into Midjourney’s prompt window and watch the program get to work.
Advantages: Midjourney is an excellent tool for concept art outputs, thanks to its varied artistic styles and robust user control. It offers a robust online community where users share creations and prompts.
Pricing: Midjourney starts at $10 per month for a limited number of generations. Plans can be as pricey as $120 per month, with other options in between.
OpenAI’s Sora is a diffusion-transformer model that turns a short text prompt—or a mix of text, stills, and existing clips into up-to-20-second, 1080p video in widescreen, square, or vertical formats. Released to ChatGPT Plus, Pro, and Team subscribers in December 2024, the model is now surfaced inside ChatGPT’s “video” tab and at sora.com.
Advantages: Accepts text alone or text + image/video inputs so users can remix brand assets, extend existing footage, or generate scenes from scratch.
Pricing: Public beta is free, per-minute credits slated for late-2025 rollout.
Powered by the open-source Stable Diffusion model, NightCafe Creator lets you conjure up AI-generated images using plain conversational English. It also lets you upload images from your computer and create new artistic works in the style of those uploads.
Advantages: NightCafe publishes a gallery of highly regarded AI art made on its platform. You can use these visuals as creative fodder when generating images of your own.
Pricing: NightCafe Creator is free for basic generation, but you’ll need to purchase credits to generate images faster and with more user control.
Synthesia focuses on video, not still images. Using its powerful technology, it lets you create realistic videos with AI-powered avatars. You won’t fool anyone into thinking real humans are in your videos, but you can nonetheless create some whimsical filmed marketing materials.
Advantages: Synthesia AI videos offer real-time text-to-speech with lip-syncing for a very competitive monthly rate. The images, while not photorealistic, look polished and professional.
Pricing: Pricing starts at $18 per month, which covers most core video creation features.
Descript is a text-based audio-and-video editor that now ships with Underlord, an AI assistant (Season 6, June 2025) that automates everything from rough-cut to publish-ready video. You can paste raw footage, edit by deleting words in the transcript, and let Underlord apply “Quick Design” scenes, B-roll, and titles in one click.
Advantages: Create custom voices and auto-dub content into 20+ languages (two free hours per month on paid plans). One-tap fixes for eye contact correction, filler-word removal, gap shortening, and background noise cleanup.
Pricing: Free plan available. Paid plans start at $16 per month
Adobe’s browser-based Firefly suite now covers image, vector, video, and audio generation—all under a single, commercially safe license. 
The April 2024 Image 3 model delivered sharper detail and better prompt understanding, while the May 2025 update added Firefly Boards for collaborative mood-boarding and text prompts to create scalable vector images. 
Advantages: Adobe indemnifies users against IP claims on Image 3 and all in-house models. Send Firefly assets straight to Photoshop, Illustrator, Premiere, or Express without exports.
Pricing: Paid plans start at $9.99 per month
Tabnine is an AI coding platform that emphasizes total code privacy, best-in-class code generation, intuitive code suggestions, and highly competitive pricing.
Advantages: Tabnine generates context-aware code suggestions, with professional-grade code quality. Its many programming languages help it seamlessly integrate with popular IDEs (integrated development environments) including IntelliJ, Android Studio, VS Code, Webstorm, AppCode, and more.
Pricing: Plans start at $9 per month after a generous 90-day trial period.
Automata takes content in one format and uses it to generate new content in another. For instance, this AI tool can take videos you’ve made and repurpose their content into newsletters. Or, it can take your blog posts and turn them into social media entries. This helps you leverage the maximum value from the work you create.
Advantages: Automata is a hands-off tool that generates content for you, allowing you to focus on other endeavors. Yet all the material it produces stems from the content you initially upload, thus preserving your creative voice.
Pricing: Free.
Jukebox is another Open AI offering that does for music what ChatGPT does for text and DALL-E does for generating images. Jukebox uses the power of neural networks to create royalty-free music from conversational text prompts.
Advantages: Jukebox lets you generate realistic music in various styles based on text prompts. It may one day mimic human composers as well as ChatGPT mimics natural conversations.
Pricing: Currently free, but only available with limited public access.
Soundraw is an audio generation tool with an extremely accessible user interface (UI). It lets you generate musical compositions based on inputs like genre, mood, and theme. It then uses synthetic data to produce your requested sounds. You’ll license the composition from Soundraw, but the license is free and runs in perpetuity.
Advantages: Soundraw is very easy to use, even if you have no musical background.
Pricing: Soundraw pricing runs from $16.99 to $49.99 per month.
Suno v3 is a music generation tool that is known for radio-quality songs in one pass, no post mixing required. You can give it a short prompt like lo-fi house beat on rainy Mondays or full custom lyrics. 
Suno’s May 2025 v4.5 release doubled max song length to 8 minutes, boosted vocal realism (richer vibrato, better pitch curves), and rolled out a prompt helper that nudges writers toward more descriptive lyrics and genre tags. Pro and Premier subscribers own the master and can monetize on streaming platforms or ads.
Advantages: Rapidly generate royalty-free background tracks for TikTok ads, unboxing videos, or in-store playlists. Built-in lyric and cover-art export streamlines DTC product drops (e.g., limited-edition vinyl or merchandise).
Pricing: Free for up to 10 daily generations. Paid plans start at $8 per month. 
Murf is an AI voice generator. Its key features include text-to-speech tools, voice cloning, AI dubbing, and AI translation tools. You get multiple voice options, with many ways to use them, from audiobooks to software narration.
Advantages: Murf’s voice generation sounds remarkably like real people.
Pricing: Murf works off a freemium model, with full-featured paid plans starting at $23 per month.
Microsoft Power BI is a data visualization tool designed for business. It empowers individuals and organizations to transform their own data analytics into graphics. You get access to a rich library of interactive charts, graphs, and other visualizations that represent your data analysis. Just as DALL-E excels at generating images, Power BI excels at producing reports, graphs, and other business-centric documents.
Advantages: Power BI seamlessly integrates with other Microsoft products like Excel and Azure, enhancing workflow efficiency. And a robust online community provides support and guidance for fellow users.
Pricing: Power BI has a free (but limited) desktop version. Paid plans start at $10 per month.
ChatGPT is an example of generative AI. It takes user text prompts and generates creative output.
Businesses can use generative AI tools to automate tasks, create fresh content, and gain new insights from data, among other things.
Some generative AI tools are free, including those from Google. Others have free options, but most functionality lies behind a subscription paywall.
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AI Search Optimization Is the New SEO – autogpt.net

Updated:June 19, 2025
Say goodbye to traditional SEO?
Remember when the key to online success was ranking on Google?
That world is shifting fast.
These days, more people are getting their answers straight from AI summaries instead of clicking through to websites.
It’s no longer about just showing up on Google, it’s about showing up inside AI-generated responses.
Search engines like Google’s AI Overviews, ChatGPT, and Perplexity are rewriting the rules.
Instead of a list of clickable links, users get direct, AI-crafted answers. That’s great for convenience but not so great for brands losing traffic.
So, what now?
A new wave of startups is helping businesses figure out how they show up in AI search results.
One of the biggest players? Profound.
Profound works with big names like U.S. Bank, Docusign, and Indeed.
Their mission? Help companies understand how their brands appear in AI answers and how to get more visibility.
Here’s how it works:
It’s not just brands that see the shift. Investors do, too.
Profound recently raised $20 million from Kleiner Perkins, Nvidia, and Khosla Ventures, giving the startup a valuation of over $100 million.
Clearly, this new world of “Generative Engine Optimization” isn’t just a trend. It’s a new category of marketing.
Based in New York, Bluefish AI helps brands monitor their presence across AI engines like Gemini, ChatGPT, and Perplexity.
They’ve raised $5 million and work with companies in travel, retail, and pharma. Their edge?
They analyze the data sources that AI engines rely on – platforms like Reddit often top the list.
Founded by a former Google DeepMind researcher, Athena has built its own AI engine to help brands track metrics like:
Athena’s dashboard gives companies a clearer view of their AI reputation—something traditional SEO tools just can’t deliver anymore.
AI isn’t just answering questions, it’s shaping consumer opinions.
Even if a tool like ChatGPT sends only 1% of a site’s traffic today, its influence is growing.
One SEO expert at a major job platform said it best: “We were in the dark. Now, we’re finally seeing how AI talks about us.”
The tough part?
AI search results can change with every prompt. What shows up now might not appear tomorrow. That’s why constant tracking and real-time insights matter more than ever.
Most websites are designed for humans.
But if you want to win in the AI era, you’ll need to optimize for bots too.
As OpenAI’s Andrej Karpathy put it, “99.9% of attention is about to be LLM attention.”
Think about it. AI systems crawl countless websites and spit out answers instantly.
If your brand doesn’t show up there, you’re invisible to a growing segment of users who won’t even click a link.
Profound’s team sees this as a good thing.
Cadwallader believes the future lies in a “zero-click world,” where people only interact with answer engines and bots become the main visitors to websites.
So, what’s the takeaway?
It’s time to stop obsessing over page one of Google, and start thinking about how you show up in AI’s brain.
Contributor & AI Expert
The AutoGPT Promise
We’re committed to helping you learn AI skills. Some articles feature products or are commissioned from partners who compensate us, but opinions are always our own.
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12 Types of SEO | Top SEO Techniques to Increase Traffic in 2025 – Simplilearn.com

12 Types of SEO | Top SEO Techniques to Increase Traffic in 2025  Simplilearn.com
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Adversarial NLP: How attackers weaponize AI for phishing content generation – ET CISO

AI is now weaponized to craft sophisticated phishing emails, making them harder to detect. These AI-generated messages mimic real communication, using personalized details and industry-specific language. Organizations must enhance security with AI-native solutions and train employees to recognize subtle manipulation, as traditional methods are becoming obsolete in this evolving threat landscape.
AI isn’t just powering your inbox filters anymore — it’s writing the phishing emails those filters struggle to catch.

As natural language processing (NLP) systems become more sophisticated, threat actors are using the same models that protect us to attack us. The rise of adversarial NLP — using language models to generate contextually relevant, human-sounding phishing messages — is quietly reshaping the cyber threat landscape. And it’s doing so with terrifying efficiency.

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How Boulder SEO Marketing Helps Small Businesses Win Big with AI-Driven SEO – DesignRush

How Boulder SEO Marketing Helps Small Businesses Win Big with AI-Driven SEO  DesignRush
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Demystifying Digital Marketing Costs: A Practical Guide for 2025 – DesignRush

Demystifying Digital Marketing Costs: A Practical Guide for 2025  DesignRush
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Top 30 SEO Statistics 2025: Key Trends and Insights to Optimize Your Search Strategy – DesignRush

Top 30 SEO Statistics 2025: Key Trends and Insights to Optimize Your Search Strategy  DesignRush
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Generative Artificial Intelligence (AI) in Digital Marketing Market Opportunities and Strategies Report 2025-2034: Top 10 Players Control Just 15.2%, with IBM Leading at 3.48% Share – GlobeNewswire

 | Source: Research and Markets Research and Markets
Dublin, June 18, 2025 (GLOBE NEWSWIRE) — The “Generative Artificial Intelligence (AI) in Digital Marketing Market Opportunities and Strategies to 2034” report has been added to ResearchAndMarkets.com’s offering.

This report describes and explains the generative artificial intelligence (AI) in digital marketing market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.

The global generative artificial intelligence (AI) in digital marketing market reached a value of nearly $2.48 billion in 2024, having grown at a compound annual growth rate (CAGR) of 30.83% since 2019. The market is expected to grow from $2.48 billion in 2024 to $9.46 billion in 2029 at a rate of 30.69%. The market is then expected to grow at a CAGR of 29.98% from 2029 and reach $35.12 billion in 2034.

Growth in the historic period resulted from the increased adoption of digital channels, rise in e-commerce, rise in internet and smartphone penetration and advancements in AI technology. Factors that negatively affected growth in the historic period was data privacy and security concerns and dependence on high-quality data for accuracy. Going forward, demand for cost-effective marketing solutions, demand for personalization, growing prominence of video content and growing volume of consumer data will drive the growth. Factor that could hinder the growth of the generative artificial intelligence (AI) in digital marketing market in the future include risk of misinformation and deepfake content and technical complexity.
The global generative artificial intelligence (AI) in digital marketing market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 15.2% of the total market in 2023. International Business Machines Corporation (IBM) was the largest competitor with a 3.48% share of the market, followed by Google LLC with 2.03%, Microsoft Corporation with 1.53%, Meta Platforms Inc. with 1.39%, Amazon.com Inc. with 1.32%, Interpublic Group of Companies Inc. with 1.17%, Salesforce Inc. with 1.15%, HubSpot Inc. with 1.15%, DataRobot Inc. with 1.06% and NVIDIA Corporation with 0.94%.

North America was the largest region in the generative artificial intelligence (AI) in digital marketing market, accounting for 33.66% or $836.05 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative artificial intelligence (AI) in digital marketing market will be Asia-Pacific and Middle East where growth will be at CAGRs of 36.09% and 33.70% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 32.43% and 31.63% respectively.

The generative artificial intelligence (AI) in digital marketing market is segmented by component into software and services. The software market was the largest segment of the generative artificial intelligence (AI) in digital marketing market segmented by component, accounting for 63.56% or $1.57 billion of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in digital marketing market segmented by component, at a CAGR of 33.47% during 2024-2029.

The generative artificial intelligence (AI) in digital marketing market is segmented by application into personalization, content generation, social media management, advertising optimization, predictive analysis and other applications. The content generation market was the largest segment of the generative artificial intelligence (AI) in digital marketing market segmented by application, accounting for 32.93% or $817.81 million of the total in 2024. Going forward, the content generation segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in digital marketing market segmented by application, at a CAGR of 35.79% during 2024-2029.

The generative artificial intelligence (AI) in digital marketing market is segmented by channel into search engine marketing, email marketing, social media marketing, mobile marketing and other channels s. The search engine marketing market was the largest segment of the generative artificial intelligence (AI) in digital marketing market segmented by channel, accounting for 47.88% or $1.18 billion of the total in 2024. Going forward, the mobile marketing segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in digital marketing market segmented by channel, at a CAGR of 38.02% during 2024-2029.

The top opportunities in the generative artificial intelligence (AI) in digital marketing market segmented by component will arise in the software segment, which will gain $4.05 billion of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in digital marketing market segmented by channel will arise in the search engine marketing segment, which will gain $3.18 billion of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in digital marketing market segmented by application will arise in the content generation segment, which will gain $2.95 billion of global annual sales by 2029. The generative artificial intelligence (AI) in digital marketing market size will gain the most in the USA at $1.67 billion.

Market-trend-based strategies for the generative artificial intelligence (AI) in digital marketing market include focus on developing innovative solutions such as the AI-powered advertising suite, focus on developing innovative tools such as an generative AI Video Advertising Tools, focus on prioritizing the development of innovative solutions, such as AI-driven advertising creative tools and focus on developing strategic collaborations to enhance digital advertising efficiency and creativity. Player-adopted strategies in the generative artificial intelligence (AI) in digital marketing market include focus on expanding its manufacturing capabilities through strategic partnership.

To take advantage of the opportunities, the analyst recommends the generative artificial intelligence (AI) in digital marketing to focus on developing and deploying ai-powered advertising tools, focus on ai-driven video advertising tools to scale content production and improve roi, focus on accelerating content creation with ai-driven creative tools, focus on generative ai content suites to accelerate multichannel marketing efficiency, focus on capturing growth in the ai services segment, focus on scaling through mobile marketing integration, expand in emerging markets, focus on strategic collaborations to enhance creative efficiency and content scalability, focus on dynamic and value-based pricing to capture market potential, prioritize data-driven personalization across channels, strengthen thought leadership through strategic content deployment, focus on expanding ai-driven content generation capabilities.

Major Market Trends
Key Mergers and Acquisitions
Recent Developments in the Generative Artificial Intelligence (AI) in Digital Marketing Market
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Companies Featured
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