Google Down: Search And YouTube Hit By Global Outages, Check Latest Updates Here – Times Now

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AI-powered monetization will unlock the earnings potential for the next generation of content creators – USA Today

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For more than a decade, the creator economy has been hailed as the great democratizer of digital culture.   It’s already a $250 billion market – a sum projected to nearly double by 2027.[1] 
 Millions of content creators, from fitness coaches to comedians and gamers to lifestyle gurus, now make a living on subscription creator platforms such as Fanvue, connecting with fans through their talents and passions. 
 But for all its promise, the industry has also revealed its cracks.   Creators can wrestle with feast-or-famine income, grueling admin work, and platforms that too often siphon off value.   The so-called “freedom” of online creativity often comes shackled to a 24/7 grind and limited earning opportunities.  Will Monange, Co-Founder of subscription creator platform, Fanvue, believes the fix isn’t more hustle, but more help – from AI powered tools.  
Monange said: “Content creators’ main source of income has traditionally come from brand deals, affiliate marketing, and selling their own products or services. 
“This revenue stream often requires middlemen, who take a big cut and quite frankly, it’s becoming like the wild west. AI can put all the power in the hands of the creator, enabling them to own their success fully.”  Fanvue, which was just named Fastest-Growing Company of the Year, Europe, at the 2025 International Business Awards™, has invested heavily in AI engineers to help the platform define a whole new category in the creator economy: The Creator AI Economy.  
Monange said: “Creators are turning their attention to AI tools because they know it’s a faster, more independent route to growing their fanbases at scale, and keeping more upside. 
“In that way, AI democratises the creator economy. The technology isn’t here to replace creators, it’s here to give them more ownership over their businesses”. 
 AI has become a taboo topic in the creative industries, and fears over machines replacing human ingenuity is a well-documented territory.  But among content creators, its role is starting to look less dystopian, and much more pragmatic. 
 Nearly a quarter of content creators already use AI to streamline workflows, according to Net Influencer.[2]  Fanvue is home to over 180,000 creators globally – who are using bespoke AI tools to engage with fans, schedule posts and crunch analytics to help them scale their business and earn more. 
It’s the kind of behind-the-scenes demands that eat up the very hours needed for actual creativity.   This shift reframes AI less as a rival to creators and more as their back-office support. 
AI Influencers entering the mainstream 
Perhaps the most headline-grabbing example of AI’s impact is the rise of digital influencers – virtual personalities with their own followings and brand partnerships.   Aitana Lopez, the pink-haired creation from Barcelona-based studio TheClueless, now has hundreds of thousands of fans and a growing livestream presence.[3] 
 Fanvue has been quick to on-board lifestyle AI Influencers such as Aitana Lopez, Seren Ay and Olivia C – alongside human creators using AI tools on the platform.    For Monange, the real story isn’t the uncanny avatars themselves, but what they represent. 
 He added: “Regardless of your background, if you’re passionate and have a desire to create, you can now connect with fans at scale and earn more than was possible before – and AI enables that.” 
The real prize: freedom 
Monange, alongside his Co-Founder and former YouTuber, Joel Morris, are bullish their decision to “own” the Creator AI Economy is going to unlock the earnings potential of millions of creators.  
Monange said: “The Fanvue vision is clear. AI is not replacing human creativity – it’s about preserving it, by stripping away the noise, and giving creators an ecosystem of AI powered tools so they have more ownership of their careers.  
 “For millions of creators around the world, the most radical promise of AI isn’t more content. It’s freedom. 
“Freedom from burnout, freedom from bottlenecks and the freedom to spend their time on the work only they can do.”
[1] https://www.goldmansachs.com/insights/articles/the-creator-economy-could-approach-half-a-trillion-dollars-by-2027 
[2] https://www.netinfluencer.com/bereal-the-creator-economy-ma-landscape-in-2024/ 
[3] https://tkc.in/rise-of-virtual-models-a-new-challenge-for-influencers-in-2024/ 

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Top 10 AI Newsletters in 2025 (Curated by Experts) – DemandSage

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At DemandSage, we keep our tabs on every AI newsletter, and our team consistently analyzes the best AI newsletters in every category.
Some email newsletters send the updates daily, and a few of them weekly. However, the best part is that you can sign up for most of them for absolutely free.
In this post, I cover the 10 best AI newsletters based on my experience, as well as the overall user choice, after reviewing the feedback and hearing from real people.
The best AI newsletters, which many users also consider, are Superhuman AI, The Neuron, and The Rundown AI. However, multiple AI newsletters focus on AI innovations, current trends, science, sports, and crypto.
Here is a complete list of the 10 best AI newsletters with other specifications to help you subscribe to those that align with your interests.
Keep yourself up-to-date with these newsletters. See which one is a good information provider according to your needs and goals. 
If you want to rank on ChatGPT or any LLMs, these AI newsletters might help you. Not only for one purpose, but you can also take help from these newsletters for other information and trending details.
Superhuman AI delivers the AI tools, tutorials, and tech news that you can learn and master by reading just 3 minutes a day. The free version sends the information daily to your email, but the Superhuman Pro version shares it weekly as it gives a more detailed overlook of the AI world with exclusive content like video tutorials.
Superhuman AI can be one of the great choices as it gives news of diverse fields such as current tech, robotics, space, and science. The employees of top companies like Google, Meta, Nvidia, Apple, etc., are subscribers to the Superhuman newsletter.
What I Liked Most About The Superhuman AI Newsletter?
I have also been a subscriber to this newsletter for the past two years. The best part of this newsletter is that I get the latest updates on any new AI tool or updates to existing tools. I also watch the practical tutorials, because sometimes moving visuals work best.
The Neuron actually aims for you to stay ahead of the AI revolution. Many professionals from Apple, Tesla, Microsoft, Salesforce, and many more have joined this newsletter.
Moreover, the video courses for professionals, which actually cost $200, are also free currently. By subscribing to this newsletter, you get the daily insights of the new AI tools, news, and current trends that can be used for work and businesses.
What I Liked Most About The Neuron Newsletter?
The Neuron is mainly focused on AI technology, and it delivers the content in quite a simple way. It is easy to read and understand the concepts, even the complex terms. I like its way of providing the information in such an effortless manner.
The Rundown AI is the world’s largest AI news and media publisher with more than 1.75 million active readers and 10,000+ new subscribers daily. This website’s email marketing is quite strong as it focuses on a niche audience of professionals who are busy and have less time to read.
The Rundown AI provides quick and trending high-quality news. You will also discover the best AI tools along with the latest news and insights regarding business operations, healthcare, government, finance, students, project management, coding, and much more.
What I Liked Most About The Rundown AI Newsletter?
I subscribed to The Rundown AI and Superhuman AI together. However, particularly for The Rundown AI newsletter, it has a broader focus and is known to its target audience, so in my opinion, this newsletter understands what kind of news we as busy people would like to read. So, it just delivers the content that is trending and helpful.
Sage Read: If you are planning to start your own newsletter, first check out the email marketing statistics. Understand the data, such as total worldwide users, B2B email marketing stats, and much more.
Ben’s Bites writes the newsletters regarding startups and investments for businesses of all sizes using AI. Ben aims to help investors, founders, and operators of any company.
He posts only one newsletter a week, but the research regarding product launches and any current news is very deep, with the real-life use cases, which he documents every week. Ben’s Bites newsletter pro version costs $150 per year, which is worth the cost for the detailed research he does for one post.
What I Liked Most About Ben’s Bites Newsletter?
Ben posts a newsletter once a week, and as a blogger and a working professional, his precise details and well-researched content on AI trends, business ideas, new AI tools, and their breakdown are really helpful to me.
Steve Toth shares the different creative SEO strategies through the SEO Notebook. To get these weekly tips, just enter your name, email, and join the newsletter.
More than 20,000+ SEOs, even those from the top companies like Wirecutter, Shopify, Ahrefs, Hubspot, etc., have subscribed to his newsletter. Additionally, Steve, with SEO Notebook, ranked first for multiple money keywords with over 3 lakhs of monthly searches.
What I Liked Most About Steve Toth’s Newsletter?
As someone who completely depends on SEO, Steve Toth’s insights really help me stay up-to-date and think differently from others. I have subscribed to his newsletter a long time ago, and even today, I implement a few of his SEO tips in my work.
You can subscribe to the Matt Diggity newsletter and also view blogs for affiliate marketing. He is also one of the famous personalities in the field of SEO, where you will get the information about the on-site SEO, link building, case studies, and SEO news.
Matt Diggity delivers the news on the current changes in the SEO AI, Google Ads, and much more in this particular sector. Not only does Diggity provide the information, but he also suggests the tools and services he follows to rank websites alongside marketing tips.
What I Liked Most About Matt Diggity Newsletter?
The recent Matt Diggity Marketing News Roundup regarding SEO, ad changes, and AI, with the detailed study, worked for me and my team. I like Diggity’s newsletters because he makes sure to provide ethical data with proof, and this helps us to evaluate the current Industry trend.
SEOFOMO hub delivers the latest SEO news, trends, tools, free resources, and remote jobs updates through the weekly email newsletters. Aleyda Solis, who is an SEO consultant and founder of Orainti, SEOFOMO & MarketingFOMO, publishes newsletters every Sunday.
Her newsletter is currently creating a hype with the latest SEO news, useful SEO guides, free tools, specialists to follow, giveaways, upcoming events, and everything related to SEO. Overall, you can find all the details on one platform if you are into SEO or interested in starting a career in this field.
What I Liked Most About SEOFOMO Newsletter?
Aleyda Solis is currently whom I am following the most for the latest SEO and AI Search news. She uses a simple tone in the article and conveys the latest news and information effortlessly. The best thing is that many times Aleyda experiments with the tools first and then shares the experience via newsletter.
Get one email daily with some of the most interesting stories of startups, technology, marketing, AI, crypto, and programming. TLDR AI newsletters are particularly industry-based, focusing on current trends in AI and tech.
TLDR itself means ‘Too Long, Didn’t Read,’ which means you can read the information in just 5 minutes daily to be up to date with the recent changes in the AI world. The summary itself says it all, so many times you will not need to read word-for-word. 
What I Liked Most About TLDR Newsletter?
TLDR newsletter is just as its name suggests. It covers the information, but is precise and straight to the point, and that is what I like most about this newsletter. The AI-generated summaries quickly grasp my attention whenever I open the email, where I get a clear idea of what is currently running in the market.
Import AI, established by Jack Clark, is one of the well-known newsletters in the tech industry. Through IAI Clark, send the news and updates about the artificial intelligence based on deep research.
You will get to read the industry leaders’ unfiltered perspective, understand the technical advancements in the language models and distributed training, and much more with this newsletter. Import AI is currently moving fast to a wider audience who belong to technical and non-technical backgrounds.
What I Liked Most About Import AI Newsletter?
The Import AI newsletter is basically focused on AI technology and other related domains. The best part is that Jack writes the unfiltered analysis of AI research. On the site, you can also see that there is no image or any fancy creatives, but a straightforward headline that clearly conveys the article’s content.
The Batch is a new newsletter started by DeepLearning AI. This newsletter mainly focuses on engineers and business leaders by providing important AI events and the news weekly.
If you have subscribed to this newsletter, you might know that this newsletter actually covers everything from AI to the related trending topics in this sector, which are currently trending in the market, not only nationally but worldwide.
What I Liked Most About The Batch Newsletter?
I have subscribed to The Batch newsletter recently. As of now, I am finding it useful because Deeplearning AI is a well-known platform that gives a strong perspective regarding AI from around the world.
In my opinion, the best AI newsletters are Superhuman AI, The Rundown AI, The Neuron, and SEOFOMO. I have been a long-time subscriber to these newsletters, so I am familiar with their content and tone. 
Currently, I am also finding The Batch newsletters interesting. However, your choice can vary depending on your niche and interest in learning new things. I have subscribed to all the listed newsletters to gain experience and write down a genuine review.
Overall, my opinion is also based on the discussion with other people regarding which newsletter works for them from different sectors, such as business, entrepreneurs, employees, and students.  
Superhuman AI is currently the best AI newsletter giving updates in the fields of Tech, Robotics, Space, and Science. Although millions of people have subscribed to this newsletter, multiple newsletters are more focused on a particular niche, such as AI, SEO, or current industry trends, which also give more detailed insights.
You can select the newsletter based on your interest, or you can subscribe to each newsletter to get an overview of AI and technology in the Industry worldwide.
Sign up for the best AI newsletter now, and stay updated with the current AI trends in the market.
Superhuman, The Rundown, Ben’s Bites, The Neuron, and TLDR AI are leading publications offering curated artificial intelligence news and insights.
TLDR AI is entirely legitimate, with over 1.25 million subscribers, providing daily summaries of complex industry news for AI professionals.
The three main types are informational newsletters sharing news, promotional newsletters for marketing, and educational newsletters providing learning content.
Popular free newsletter programs include MailerLite, HubSpot, Mailchimp, and Brevo, each offering templates, automation, and analytics for effective email marketing.
Millions of people actively read newsletters daily, with AI newsletters alone attracting over 1 million subscribers across major publications worldwide.
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Android 16 Looks To Bring A Major Quality-Of-Life Upgrade To Google Maps – bgr.com

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Google is hard at work improving Android 16. With the initial release of the OS, Google introduced Live Updates, which was essentially Android’s answer to the iPhone’s Live Activities. This lets you see up-to-date information on things like food orders, live sports scores, and more all in persistent notifications that stay pinned to the top of the notification drawer until you don’t need them anymore.
It’s a handy way to keep up with important information, especially if you’re jumping between apps frequently. Now, it look like Google is bringing support for the helpful feature to one of its most popular apps: Google Maps. Reports from Android Authority suggest that some users running the latest version of the Android 16 QPR2 beta have spotted Google Maps notifications now appearing as Live Updates in the notification bar, as well as on the lock screen of their device.
That report includes some screenshots of what the new Live Update notification looks like, and it remains just as understated as Google Maps notifications in the past. It might still see some changes before the final version of the feature rolls out, but it shouldn’t take much getting used to for Android users.

Once released, this update to how Google Maps handles navigation notifications could be significant, because I know I’ve found myself accidentally swiping away the notification that the app throws into my drawer whenever I’m using it. If you’ve swiped away to another app, having access to this notification makes it much easier to jump back to Google Maps without having to open your recent apps page.
Of course, there’s no telling when this feature will actually be available on more devices, as Google appears to be rolling it out slowly to those within the latest Android 16 beta. Once it does hit your device, it should make interacting with Google Maps while actively navigating somewhere much easier, especially if you need to swipe between apps while walking or taking the train.
This isn’t the only app that Google has been updating, either. The company’s Messages app — which has become the default messaging app on many Android devices -– just received one of iMessage’s best features, allowing users to delete messages even after they’ve been sent.

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September 2025 Google Play System Updates: What’s New – SammyGuru

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by | Sep 2, 2025 | News, Updates
With monthly Play system updates, Google continues to improve core components of its Android OS, such as the Play Store and Play Services. The company recently detailed the September 2025 Google Play system update for several Android devices across phones, smartwatches, and other categories. Eligible Galaxy device owners can expect to receive the latest system update in the coming weeks.
Google Play system update brings security improvements, bug fixes, and new features to the Android platform. Unlike major OS releases, which completely revamp the Android experience, these updates mainly focus on improving the overall user experience. Regarding the notes for the first batch of this month’s system updates, Play Services version 25.34 and Play Store version 47.8 bring notable improvements.
The latest Play Services update fixes bugs for account management-related services. Furthermore, it brings the ability to automatically back up and restore theft protection settings. Now you do not need to set up protection preferences again after a factory reset or switching to a new device. For Google and third-party app developers, it introduces new features to better support connectivity-related processes in their apps. Additionally, the Wallet app now lets you authenticate a tap transaction even when your phone remains locked for more than 30 seconds.
Meanwhile, the latest Play Store update improves search functionality on phones. Now, when you search for an app in the Play Store, you will see more relevant results within the snippets. As you can see, the first batch is quite limited, but we can expect the upcoming batches throughout the month will bring more enhancements to core components.
As always, the company did not share when it will roll out the latest system update to Galaxy devices. However, it should not take long. To check for the update, you can go this route: Settings > Security and Privacy > Updates > Google Play System Update.
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It reportedly plans to ship around 50,000 units of tri-fold
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Gen Z's Digital Revolution: How AI Literacy and Content Creation Tools Are Unlocking a $1.8 Trillion Market Disruption – AInvest

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I'm that AI friend who actually enjoys explaining Fed decisions and making them relevant to your finances.
– Gen Z’s AI fluency drives a $1.8T market disruption through generative AI tools and digital innovation.
– 70% of Gen Z professionals use AI for core tasks, accelerating 32.5% CAGR in content creation markets.
– AI reshapes e-commerce, education, and wellness with personalized solutions while creating job displacement risks.
– Investors must balance AI’s democratizing potential with ethical frameworks and data privacy concerns.
The digital economy is undergoing a seismic shift driven by Gen Z’s unprecedented financial ambition and technological fluency. Born between 1997 and 2012, this generation is not merely adopting AI tools—they are redefining the rules of value creation. With 70% of Gen Z having experimented with generative AI and 80% of Gen Z professionals using it for over half their work tasks [2], the demographic is accelerating a $1.8 trillion market disruption in AI-driven content creation and digital services. This shift is reshaping industries from marketing to wellness, creating both opportunities and challenges for investors.
Gen Z’s digital-native status has given them a unique advantage in mastering AI literacy. Unlike older generations, who often view AI as a disruptive force, Gen Z sees it as a collaborative tool. For instance, 73% of marketing departments now use generative AI for tasks like image generation and text creation [3], but Gen Z professionals are pushing beyond efficiency gains. They are leveraging AI to experiment with new business models, such as AI-generated art, hyper-personalized content, and decentralized platforms. This creativity is fueling a compound annual growth rate (CAGR) of 32.5% in the generative AI content creation market, projected to reach $19.62 billion in 2025 and $62.72 billion by 2030 [6].
The economic implications are staggering. By 2030, the AI content creation market alone could surpass $1.8 trillion [4], driven by Gen Z’s demand for scalable, cost-efficient solutions. This growth is not confined to a single sector. In e-commerce, AI tools are enabling real-time product customization; in education, they are democratizing access to high-quality learning materials; and in wellness, they are personalizing health recommendations via wearable biometric data [1].
The scale of this disruption becomes clearer when examining the broader AI market. Global investments in AI are expected to contribute $15.7–$19.9 trillion to the global economy by 2030 [3], with Gen Z at the forefront. Their financial ambition is evident in their entrepreneurial ventures and investment preferences. For example, 65% of AI users are Millennials or Gen Z [1], and 70% of Gen Z professionals use AI for tasks like market research and financial planning. This trend is creating a feedback loop: as AI tools lower barriers to entry, more Gen Z entrepreneurs are launching startups, further accelerating market growth.
The wellness industry, a $1.8 trillion market in 2024 [1], is a case study in AI’s transformative power. Gen Z’s focus on health and mindfulness has driven demand for AI-powered diagnostics and personalized nutrition plans. Startups leveraging these tools are attracting venture capital at unprecedented rates, illustrating how AI literacy is turning niche markets into investment goldmines.
Despite the optimism, challenges loom. Over 60% of Gen Z fear AI will displace jobs [2], prompting a shift toward roles perceived as “AI-proof,” such as creative strategy and ethical AI governance. This anxiety underscores the need for balanced investment strategies. While AI tools are democratizing content creation, they also risk oversaturation in markets like social media and freelance writing. Investors must prioritize platforms that offer unique value—such as AI-driven analytics for small businesses or ethical AI frameworks—to avoid commoditization.
Moreover, data privacy concerns and regulatory uncertainty remain hurdles. The same Gen Z consumers who embrace AI for personalization are wary of data exploitation [1]. Companies that address these concerns through transparent AI practices will gain a competitive edge.
The $1.8 trillion market disruption is not a distant forecast—it is unfolding now. For investors, the key lies in aligning with Gen Z’s priorities: scalability, personalization, and ethical innovation. Sectors to watch include AI-powered content platforms, wellness tech, and tools that enhance human-AI collaboration. As Gen Z continues to blur the lines between creator, consumer, and entrepreneur, the digital economy will reward those who adapt to their AI-first mindset.
The question is no longer whether AI will reshape the economy, but how quickly investors can harness its potential.
**Source:[1] AI Statistics In 2025: Key Trends And Usage Data
https://www.digitalsilk.com/digital-trends/ai-statistics/[2] Gen Z and Artificial Intelligence: Two Influential Forces
https://ctomagazine.com/genz-and-ai-workforce-two-transformational-forces/[3] 55+ New Generative AI Stats (2025)
https://explodingtopics.com/blog/generative-ai-stats[4] AI-Driven Content Creation: The ROI-Boosting Disruption …,
https://www.ainvest.com/news/ai-driven-content-creation-roi-boosting-disruption-reshaping-digital-markets-2506/
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The keyword research tool: A powerful addition to your SEO arsenal – Search Engine Land

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A keyword research tool is your secret weapon in any campaign to dominate the search engine results pages (SERPs). Whether you’re developing a search engine optimization (SEO) strategy or conducting research for pay-per-click (PPC) ads, the right tool eliminates guesswork and ensures your efforts bring a tangible return.
Although search marketing has grown more complex and less reliant on keywords in the past few years, they remain essential to your overall content strategy.
Keywords are still the starting point for how search engines interpret user intent and connect queries to relevant content. Even with semantic SEO and entity-based search, keywords provide the raw signals that help algorithms disambiguate concepts and understand context. They guide content strategy by revealing what topics and questions matter most to your audience, informing everything from pillar pages to FAQ sections. 
Keywords also remain central to SERP optimization since features like featured snippets, People Also Ask boxes, and voice search often trigger from specific phrases. Performance tracking, competitive analysis, and content gap identification still rely heavily on keyword data. 
Moreover, AI-powered search and language models continue to use keyword-driven inputs to generate summaries and answers. In short, keywords now work in tandem with semantic SEO—not in opposition—anchoring strategy while enabling more sophisticated search experiences.
A reliable tool is vital, helping you identify a goldmine of frequently searched topics while providing the in-depth insights you need to reach your target audience.
In this article, we’ll discuss keyword research and show you how to use our in-house tool to rank higher, boost traffic, and increase conversions. As you read, consider how you can test our free keyword tool to get a sense of how you can develop your process to find the right keywords to rank higher, capture SERP features, and land in front of your target audience.
A keyword research tool is software that helps you discover and analyze search terms (i.e., keywords) that users enter into search engines.
In SEO, marketers use keyword research tools to identify opportunities for content creation. These tools reveal an abundance of potential topics within any niche, helping you fill content gaps and transform your website into a bonafide authority. 
Equally important, keyword research tools guide the writing process and content marketing strategy. By revealing the intent behind a search query, they provide an “angle” from which to write. They also help you optimize your page’s content, identifying key terms to incorporate within an article’s structure, body, and metadata.
When it comes to the paid advertising side of things, keyword research tools help marketers find cost-effective search terms with high conversion potential. Depending on the tool, they may even provide insight into competitor ad strategies, revealing details about what’s working and what’s not.
Most keyword research tools feature a similar user experience (UX). 
First, you feed the tool a seed keyword: a broad search term, often one to three words long. Then, the software returns a list of keywords related to your topic, along with details about each one’s monthly search volume, organic ranking potential, cost per click, and more.
Keyword research isn’t just another box you check at the start of an SEO campaign. It’s a fundamental part of discovering topics, optimizing content, and aligning your content with search intent.
What is search intent, exactly?
Search intent is the reason behind a user’s query. It’s what they’re trying to learn or achieve when they type something into a search engine like Google or Bing. Keyword research helps you understand this intent and craft articles that provide a direct solution to the query.
Keyword research also prevents you from wasting your time. There’s little point in crafting a detailed SEO article that nobody’s searching for, or one that has zero chance of ranking in the SERPs.
In other words, keyword research minimizes your risk and maximizes your chances of identifying high-value keywords, driving traffic, and securing conversions.
Keyword research isn’t always a linear process. You may jump around or repeat steps as your awareness of a topic grows and you encounter new information.
With that said, here are the key components of a smart keyword research strategy.
To get started with keyword research, consider a classic brainstorming session using a simple mind map.
Let’s say your website is all about keyword research and the content creation process. Take a piece of scratch paper or your preferred graphics program and write out the term “keyword research.” Then, free associate and jot down any words or phrases that enter your mind.
Did you unearth any new ideas? Hang onto these terms and try variations of them as seed keywords during the next stage of the research process.
If you prefer a more modern approach to brainstorming, forums like Reddit are an excellent way to see what people are actively discussing. Use the search bar at the top of the Reddit homepage, and you’ll almost certainly find a group within your niche.
Here’s another option: If you’ve been in business for a while and have gathered feedback from customers, use this treasure trove of data to your advantage. See if you can find common questions or complaints you can address—content developed in this way doubles as a reference you can send to customers down the line.
Finally, you can turn to the search engines themselves for inspiration.
Google Suggest or Google Autocomplete is something you’re probably already familiar with. But did you know that this handy tool for searchers also presents a reliable source of data for marketers?
Start typing a topic or question into Google and see what recommendations appear in the drop-down panel. Continue typing in different combinations of letters and words, and see what related keywords pop up.
You can also glean ideas from the SERPs themselves. Simply scroll to the bottom of any results page, and look for a section called “People also search for” to see related queries.
Depending on the search query, you may also see a “People also ask” section near the middle of the results page.
All of these options should help you populate a comprehensive list of seed keywords for further evaluation.
Once you have a list of seed keywords in mind, try experimenting with a keyword research tool. This will help you identify viable, relevant keywords and understand their defining metrics.
Navigate to your tool of choice (we recommend ours, of course) and enter your seed keyword. The tool should return a list of related search terms followed by several metrics associated with each.
For instance, the default metrics on our keyword research tool include:
Depending on the tool, you may be able to dive even deeper into the data. For instance, our tool connects directly to Semrush’s massive database. If you click on a keyword and sign up for a free trial, you gain instant access to a ton of advanced metrics. You’ll find monthly search volume by region, questions incorporating the keyword, a detailed SERP analysis, and so much more.
Note: If all of these technical details sound overwhelming, don’t worry. We provide a step-by-step guide to using our tool and deciphering metrics in a later section.
Since many SEO keyword research tools feature limited credits, consider saving your findings in a spreadsheet so you don’t have to perform another search and use another credit. There may also be an export option, allowing you to download insights for later reference.
Another critical step in choosing appropriate keywords is evaluating search intent.
There are four primary types of search intent, as described in the table below.
Matching your keywords to their corresponding search intent is essential. Doing so will inform both your individual content briefs and broader content strategy. It also helps you develop a well-rounded selection of content that touches on all the critical aspects of your marketing funnel.
There are short-tail keywords and long-tail keywords.
Short-tail keywords are short, broad search terms with high search volume and high competition. Seed keywords are a great example of short-tail keywords.
Long-tail keywords are more specific—usually four or more words—and they target a narrower audience. They typically have lower search volume but also lower competition.
Pro Tip: Besides being easier to rank, long-tail keywords are often better at converting visitors. That’s because they’re highly targeted, making it easier to solve the searcher’s specific problem.
Here are some examples of short-tail keywords vs. long-tail keywords:
Long-tail keywords are the hidden gems of SEO. Since they typically have less competition, long-tail keywords require less time and fewer resources to start gaining traction. This makes them especially ideal for new sites still in the sandbox, helping you drum up traffic and gain topical authority within your niche.
Most keyword research tools provide a keyword difficulty (KD) metric, providing insight into how difficult it is to rank an article written about a topic.
In general, you’ll want to start new campaigns by targeting lower difficulty keywords. These are usually quick and easy to rank, providing initial traffic and a foundation for targeting those higher difficulty keywords later on.
Here’s a look at a standard metric system for determining keyword difficulty:
Search Engine Land has teamed up with Semrush to provide a free keyword research tool, including all the data you need to make wise decisions about your SEO strategy.
To begin using this keyword research tool, open a new tab and head to the keyword research tool landing page (or just scroll to the top of this page).
Now, let’s say our seed keyword is “WordPress plugins.” You’ll want to enter this term into the search box and click the green “Find Keywords” button.
Once the keyword research tool has processed your request, you’ll receive a results page that looks like this:
The first row includes the seed keyword you searched for, and the rows beneath consist of keywords related to that topic.
Within the columns, you’ll see several metrics, including volume, KD %, CPC, number of results, and search trend.
What does each metric mean? Let’s break it down:
Want more information? Simply click on one of the keywords to jump straight over to Semrush’s complete keyword overview (a free trial may be required to view all of the metrics and data).
For this example, we chose to learn more about the keyword “best social media plugin for WordPress.”
According to the analysis, we can see all of the same metrics encountered in our previous search results, alongside new information. The exact KD is 28%, meaning it should be reasonably easy to rank. US search volume for this keyword is 70, but it has a monthly global search volume of 750! We can also see that the search intent is commercial, and there’s reasonable ad competition.
If you keep scrolling, you’ll find additional keyword ideas, a breakdown of the SERPs based on page and domain authority, and ad creatives highlighting active campaigns and historical data.
Now that you’ve gathered and analyzed your keyword data, it’s time to put your insights to work. This step focuses on turning raw keyword research into actionable SEO strategies.
Look through your list of keywords and identify those that best match your niche and marketing strategy. Remember that most marketers will want to focus primarily on long-tail keywords with lower competition and higher volume, especially when starting out.
Pro tip: Many of the most successful SEO campaigns consider all types of search intent, supporting visitors at every stage of the marketing funnel and securing the website’s position as an authority.
As you’re going through your keywords, do any of them seem similar to each other? Perhaps too similar to merit separate articles? 
That’s where primary and secondary keywords come in.
A primary keyword is the main search term you want an article to rank for in search engines. It guides your page’s content, structure, and optimization strategy. Secondary keywords are similar and related terms that complement the primary keyword, adding context and broadening the page’s reach.
Here are a few examples of primary and secondary keywords:
How should you add keywords to your articles? Generally speaking, you’ll want to incorporate the primary keyword into each of the following areas:
For your secondary keywords, sprinkle them throughout your content, including within the headings, once or twice for each keyword. Be sure to fold your keywords in naturally, as you want to maintain a natural reading experience for your audience.
The best keyword research tools can inundate you with a ton of information. While each piece of information can be helpful in certain situations, pay extra attention to the following metrics.
Creating content is difficult and time-consuming. You don’t want to waste time crafting perfect articles if they won’t attract readers. That’s why search volume is such an important metric.
Search volume is a good indicator of keyword popularity, giving you accurate information about how many times a keyword is searched per month.
Now, that doesn’t mean you should only write about high-volume keywords. The lower-volume keywords (e.g., under 50 searches per month) are often much less competitive, and you can use these to drum up quick traffic on a new website.
Even if a keyword shows zero traffic, that doesn’t automatically mean you should pass it up. Keywords with “zero” search volume might still get a few monthly searches, and search engines may still show this content to searchers with related queries.
KD measures how difficult it will be to rank a keyword within the first pages of the SERPs. Most keyword research tools base this data on the PageRank and domain authority score of the current top results, so it’s one of the most timely and reliable metrics.
If you’re just starting or working with a newer site, targeting high-difficulty keywords is often frustrating and unproductive. Instead, focus on keywords with lower difficulty scores, especially early on. Ranking for these is a more realistic short- to medium-term goal and can provide quick wins and motivation early on.
This doesn’t mean you should ignore competitive keywords altogether. But it’s smart to balance your strategy, mixing in lower-difficulty terms where you have a realistic chance of ranking in the near future.
In this article, we’ve focused primarily on SEO and only mentioned paid advertising in passing. That’s because the official Google Keyword Planner is an excellent starting point for conducting paid advertising keyword research. However, Google does omit a trove of valuable data that is present in our tool.
What extra data can you find in our research tool?
If you click on a keyword to see its complete overview, you’ll find the Competitive Density rating: a precision indicator of competition within Google Ads. You’ll also see competitor information and details on their ads for this keyword. Combine these insights with the Keyword Ad History widget, and use it to optimize your creatives and campaign strategy.
Remember the fidget spinner craze of 2017 or the NFT boom of the early 2020s? Trends come and go, and it’s important to keep this in mind as you develop your content.
Does that mean you should overlook writing about trending content? On the contrary, this can be an incredible source of traffic and income during a spike. But—depending on your industry—you’ll probably want to balance trending articles with evergreen content that tends to hold its value. 
To facilitate this process, our keyword research tool contains a search graph showing popularity over time. Try combining this data with information from Google Trends to keep a finger on the pulse within your niche.
There are countless benefits to using a keyword research tool in your digital marketing endeavors. Let’s discuss a few of the most persuasive examples:
Here are a few of the most common mistakes marketers make when conducting keyword research, as well as advice on avoiding those same traps:
Different types of search intent hold different values. 
Informational keywords tend to see higher search volume than their counterparts, providing an excellent source of traffic and attracting backlinks from authoritative websites. As a result, many marketers focus exclusively on this type of content when beginning an SEO campaign. But that’s only half the picture.
It’s true that commercial and transactional keywords often have lower search volume. But they’re also much more lucrative. That’s because the searcher is closer to making a decision, leading to direct sales or commissions and earning more money per visitor.
Have you ever heard the advice, “diversify your portfolio?” It’s the same for your content. Many of the most successful marketers target high- and low-volume keywords with various intents. This allows them to capture all levels of the marketing funnel, increase their traffic while still earning sales, and boost the authority of their website.
We keep returning to the topic of long-tail keywords because we can’t stress the point enough: They are the foundation of nearly every successful site on the web!
Remember, long-tail keywords are like buried treasure. It takes time to dig through broader keywords to find them, but the potential upside is well worth the effort. 
Long-tail keywords are easier to rank for and can provide a much better conversion rate compared to short-tail keywords, making them the perfect addition to any content strategy.
Keyword data isn’t static. Search demand often shifts based on the time of year, current events, and even differences in regional terminology. Ignoring these trends can lead to publishing the right content at the wrong time. Or worse, targeting keywords that don’t resonate with your target audience.
For example, every holiday season sees a spike in searches for “gift ideas,” while terms like “tax filing deadline” peak early in the year. Likewise, a term like “sneakers” might dominate US search traffic, but “trainers” is much more common in the UK. 
Understanding these patterns allows you to plan content ahead of demand, target the right audience more precisely, and avoid wasting effort on content that falls flat due to timing or a mismatch in language.
Semantic SEO may be on the rise, but keyword research remains as integral a part of SEO as ever. Use the keyword research process to discover new topics, plan your content calendar, and create optimized articles that are sure to gain traction in the SERPs.
Our free keyword research tool is an excellent starting point on this journey, providing everything you need to make reliable and informed decisions about how to grow your traffic and brand. When you’re ready, it also includes a paid suite of powerful features used by professionals across the industry. Join the experts, and give it a risk-free try today.
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Google launches enhanced measurement tools for iOS app campaigns – PPC Land

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Google announces three iOS app campaign updates on August 14, including Target ROAS bidding and expanded on-device measurement capabilities.
Google released three major enhancements for iOS app campaigns on August 14, 2025, introducing new ad formats, AI-powered tools, and privacy-centric measurement capabilities. The updates address mounting challenges advertisers face with iOS user engagement, particularly as App Store consumer spending increased 24% year-over-year according to app intelligence firm Appfigures. The announcement emphasizes the growing importance of iOS user acquisition in mobile marketing strategies.
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The first update expands ad format options across YouTube platforms to capture additional iOS user segments. According to Google’s data, 83% of global consumers use Google and YouTube daily, creating substantial reach opportunities for app marketers. YouTube Shorts specifically presents unique audience access, with research showing 45% of Shorts viewers in the United States do not use TikTok, while 65% avoid Instagram Reels.
Co-branded partnership ad formats now extend to App campaigns through YouTube’s BrandConnect program. These advertisements combine brand messaging with YouTube creator content on in-feed and Shorts placements, offering what the company describes as “a more visually engaging and authentic ad experience.” The format leverages creator partnerships to improve campaign performance through authentic content integration.
Additionally, playable ad formats gain new implementation options as end cards following video advertisements on select AdMob inventory. This interactive format encourages viewer engagement through hands-on app experiences before installation decisions. The placement strategy aims to capture user attention during peak engagement moments following video content consumption.
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Target ROAS bidding becomes available for iOS App campaigns, marking a significant expansion of value-based optimization options. This bidding strategy utilizes artificial intelligence to predict conversion values and adjust bids automatically to maximize return on advertising spend. Early implementation results demonstrate measurable performance improvements, with Uatas, an Indonesia-based lending application, achieving a 7% ROAS increase compared to historical iOS campaign performance.
The bidding enhancement represents part of broader AI integration across App campaign management. Maximize conversion bidding strategies now support in-app action optimization and return on ad spend targets, enabling automated bid management to achieve maximum conversion volume within daily budget constraints. These strategies eliminate manual bid adjustment requirements while leveraging machine learning for real-time optimization.
Video enhancement capabilities utilize advanced AI models to automatically adapt existing creative assets for different screen sizes and ad placements. The system can intelligently extend videos beyond original frames or create orientation variations while preserving essential visual content. This automation eliminates the need for manual creative development across YouTube’s diverse ad format requirements.
The third major update introduces expanded on-device conversion measurement using de-identified app event data. This solution addresses iOS measurement limitations while maintaining strict privacy protections through local data processing that prevents user-identifying information from leaving individual devices.
The expanded measurement capability operates alongside existing first-party data solutions to provide comprehensive attribution options. Device signals and timestamps generate conversion insights without compromising user privacy, addressing regulatory requirements while enabling campaign optimization. According to the technical specifications, data processing occurs entirely on-device with no external disclosure, including to Google.
Integrated Conversion Measurement (ICM) provides enhanced attribution accuracy within third-party App Attribution Partner reporting interfaces. This protocol addresses long-standing discrepancies between Google Ads data and external measurement platforms through real-time, comprehensive conversion attribution. Codeway, an AI-powered consumer app publisher, reported 6X install increases and 80% lower cost per install in App Attribution Partner reporting after implementing ICM solutions.
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Each App Attribution Partner maintains distinct technical specifications for optimal integration. Adjust implementations require “Probabilistic Modeling” activation and 24-hour attribution windows instead of the default 6-hour setting. The system demands specific SDK versions, including iOS SDK 5.4.1 with Adjust ODM plugin functionality.
Airbridge configurations center on “Lookback Window for Probabilistic Modeling Matching” set to 24 hours or longer, maintaining the default setting. iOS compatibility requires SDK version 4.4.1 or higher, while Android maintains universal compatibility. Both platforms must implement either Firebase iOS SDK 11.14.0 or on-device conversion standalone SDK for full functionality.
AppsFlyer integrations necessitate enabling “Advanced Data Sharing” for Google Ads, which remains disabled by default. The platform requires iOS SDK 6.17.1 or later for compatibility while maintaining universal Android support. Similar to other partners, either Firebase iOS SDK 11.14.0 or standalone conversion SDK implementation becomes mandatory.
Branch configurations require “Integrated Conversion Measurement” activation, enabled by default, with Attribution Windows for Click To Install set to 24 hours minimum instead of the 7-day default. iOS compatibility demands SDK version 3.11.0 or higher, while Android maintains universal support.
European Economic Area user consent handling creates additional technical requirements across all App Attribution Partner implementations. Each platform must capture consent status before transmitting SDK data to ensure regulatory compliance.
Adjust implementations require “addGranularOption” activation for third-party sharing, with delayed data transmission until consent capture completion. Android requires Adjust.setOfflineMode method implementation, while iOS demands either setOfflineMode, requestTrackingAuthorizationWithCompletionHandler, or requestTrackingAuthorization methods.
AppsFlyer configurations must implement delayed SDK initialization or data transmission through the start method on Android, or either start or waitForATTUserAuthorization methods on iOS. Branch requires expectDelayedSessionInitialization() for Android and didFinishLaunchingWithOptions for iOS implementations.
Server-to-server integration options provide alternative implementation paths for each attribution partner. Adjust offers S2S API integration while requiring SDK configuration for session_start conversion events. Airbridge, AppsFlyer, Branch, Kochava, Singular, and Tenjin each maintain distinct S2S API requirements with specific field implementations for proper attribution functionality.
The measurement updates coincide with expanded bidding strategy options for App campaigns. Target ROAS bidding becomes available for iOS campaigns, joining existing Target CPA and Maximize conversions strategies. The documentation outlines specific implementation requirements for each bidding approach.
Target cost per install (tCPI) implementations require specific user targeting selections. Advertisers can choose between “All users” for maximum install volume or “Users likely to perform an in-app action” for higher-value installs. The latter option demands bids “20% higher than baseline tCPI bids” while iOS campaigns require “1.5 times higher than Android” across all targeting approaches.
Target cost per action (tCPA) configurations focus on users most likely to complete in-app actions after installation. The system recommends against selecting multiple actions to avoid creating “blended targets” for different value events. iOS implementations maintain the 1.5x multiplier requirement compared to Android campaigns.
Maximize conversions options split between install-focused and in-app action-focused strategies. The install variant prioritizes maximum conversion volume within daily budget constraints, while the in-app action variant targets users most likely to complete valuable post-install actions.
New video enhancement features automatically generate multiple video versions from original creative assets. The system creates square and vertical versions from horizontal videos while preserving original content through artificial intelligence processing.
Two distinct models handle video transformation. Model 1 intelligently flips or extends videos into new aspect ratios, while Model 2 utilizes generative AI to extend original videos beyond their initial boundaries. Both models undergo quality review processes before automatic deployment in campaigns.
Campaign type availability varies significantly. App campaigns support both models but lack shorter version generation. Performance Max campaigns offer different orientations and shorter versions through campaign-level controls. Video action campaigns provide campaign-level orientation options without shorter versions.
Demand Gen campaigns support both models with ad-level controls for orientation and length modifications. Video views and Video reach campaigns maintain ad-level controls for orientation changes without shorter version capabilities.
Interactive HTML5 and playable asset support expands across App campaign formats to capture user attention through interactive experiences. These assets must meet specific technical requirements including responsive design for full-screen display across various device sizes.
File upload limitations restrict assets to ZIP format with 5MB maximum size and 512 file count limits. Each ad group supports up to 20 ZIP files with UTF-8 encoding requirements for non-ASCII characters. Sound and video capabilities now function within HTML5 assets, though sound activation requires user interaction compliance.
Measurement methodology shifts for HTML5 assets from traditional click-based billing to cost per engagement (CPE) models. Engagements count when users interact with or click playable ads for the first time. Conversions track app installations within 30-day windows following initial engagement events.
Google Web Designer integration provides additional creation options for advertisers preferring structured development environments. The platform supports specific components including Swipeable Gallery, Carousel Gallery, 360-degree Gallery, Gallery Navigation, Image Button, and Spritesheet functionality while maintaining Google Ads environment compatibility.
BrandConnect-powered partnership advertising allows brands to incorporate YouTube creator videos into App campaign strategies. The system enables organic creator video usage across all Google Ads campaign types while providing access to organic viewership data for audience optimization.
Co-branded partnership ad formats become available for Demand Gen campaigns on In-Feed and Shorts placements. App campaigns gain iOS-specific co-branded format support, while Performance Max campaigns maintain standard creator video integration without co-branded options.
Feature availability charts demonstrate varying capabilities across campaign types. Video action, Demand Gen, Video reach, and Video view campaigns support organic creator videos with co-branded formatting options. App and Performance Max campaigns maintain organic video support with different feature sets and targeting capabilities.
The system requires explicit creator video linking to Google Ads accounts before campaign integration. This process enables video usage in advertisements, provides audience data access, and delivers organic viewership metrics for optimization purposes. Advertisers maintain responsibility for securing sufficient usage rights through separate creator agreements.
Implementation complexity varies substantially across different measurement solutions. SDK-based integrations require careful version management, with some partners demanding specific minimum versions while others maintain universal compatibility.
For iOS implementations, Firebase SDK 11.14.0 becomes mandatory across most attribution partners, except where on-device conversion standalone SDK provides alternative integration paths. Android implementations generally maintain broader compatibility with fewer version restrictions.
Consent management implementations demand platform-specific approaches. Android solutions typically involve SDK offline mode activation until consent capture completion, while iOS requires tracking authorization method implementations that vary by attribution partner.
Server-to-server configurations provide enterprise-level alternatives with distinct field requirements. Android implementations must pass install_referrer_extras for install attribution, while engagement tracking requires android_app_link_url field passage. iOS engagement tracking demands universal_link_url field implementation for proper attribution functionality.
The measurement landscape continues expanding as privacy regulations increase attribution complexity. These enhanced tools provide marketers with sophisticated tracking capabilities while maintaining compliance with evolving privacy frameworks that govern digital advertising measurement.
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App Attribution Partners (AAP): Third-party mobile measurement companies certified by Google to provide analytics for app campaigns. These partners include Adjust, Airbridge, AppsFlyer, Branch, Kochava, Singular, and Tenjin, each offering specialized tracking capabilities for iOS and Android applications. The partnership program ensures access to standardized measurement tools while reducing reporting discrepancies between Google Ads and external analytics platforms.
SDK (Software Development Kit): Programming libraries that developers integrate into mobile applications to enable tracking and measurement functionality. Each App Attribution Partner requires specific SDK versions for compatibility, with requirements varying between iOS and Android platforms. SDK implementation determines the technical foundation for conversion tracking, user consent management, and attribution accuracy across different mobile operating systems.
iOS: Apple’s mobile operating system that presents unique measurement challenges due to privacy-focused policies introduced with iOS 14.5. The platform requires specialized tracking approaches including gbraid parameters, App Tracking Transparency compliance, and on-device measurement solutions. iOS campaigns typically demand higher bid multipliers compared to Android due to measurement limitations and user acquisition costs in Apple’s ecosystem.
Conversion Measurement: The technical process of attributing valuable user actions back to specific advertising interactions across digital touchpoints. This encompasses app installations, in-app purchases, user registrations, and other business-critical events that marketers use to evaluate campaign effectiveness. Modern conversion measurement must balance attribution accuracy with privacy compliance requirements imposed by platform policies and regulatory frameworks.
Attribution: The methodology for determining which advertising interactions receive credit for driving conversions throughout complex user journeys. Attribution models assign value to different touchpoints, with approaches ranging from last-click attribution that credits final interactions to more sophisticated models that distribute credit across multiple campaign exposures. Accurate attribution enables optimized budget allocation and campaign performance assessment.
Firebase SDK: Google’s comprehensive mobile development platform that provides analytics, measurement, and app development tools. Version 11.14.0, released in June 2025, introduced enhanced on-device conversion measurement capabilities for iOS applications. Firebase integration serves as the technical foundation for Google’s app measurement solutions, enabling real-time data processing while maintaining user privacy protections.
Target ROAS (Return on Ad Spend): An automated bidding strategy that optimizes campaign bids to achieve specific revenue targets relative to advertising costs. The strategy analyzes conversion values and adjusts maximum cost-per-click bids to maximize conversion value while maintaining predetermined return thresholds. Target ROAS bidding requires sufficient conversion history and accurate value tracking to function effectively across campaign optimization cycles.
Integrated Conversion Measurement (ICM): A new protocol that provides enhanced attribution accuracy within third-party App Attribution Partner reporting interfaces. The system addresses discrepancies between Google Ads data and external measurement platforms by offering real-time, comprehensive conversion attribution across iOS and Android devices. ICM implementation improves decision-making capabilities through more accurate performance visibility and cross-platform attribution consistency.
On-device Measurement: Privacy-preserving technology that processes conversion data locally on user devices without transmitting identifiable information to external parties. The system utilizes device signals and timestamps to improve campaign optimization while ensuring user-identifying data never leaves individual devices. This approach addresses iOS privacy requirements while providing marketers with actionable performance insights for campaign optimization.
European Economic Area (EEA): The regulatory region encompassing European Union member states plus Iceland, Liechtenstein, and Norway, where enhanced privacy protections affect digital advertising measurement. EEA users require explicit consent for data processing, creating additional technical implementation requirements for App Attribution Partners. The region’s privacy framework influences SDK implementation approaches and excludes certain on-device measurement features from activation.
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Who: Google Ads product team led by Kamal Janardhan, targeting mobile app advertisers and marketing professionals using iOS campaigns with App Attribution Partners including Adjust, Airbridge, AppsFlyer, Branch, Kochava, Singular, and Tenjin.
What: Four major measurement enhancements including streamlined App Attribution Partner integrations, expanded on-device conversion measurement using de-identified event data, Integrated Conversion Measurement for third-party reporting accuracy, and enhanced video creative optimization tools.
When: Announced May 2, 2025, with gradual rollout beginning immediately and continuing through 2025, including Google Analytics for Firebase SDK 11.14.0 availability in June 2025 and API dual identifier support launching October 3, 2025.
Where: Global implementation across Google Ads platform affecting iOS app campaigns, with European Economic Area, United Kingdom, and Switzerland excluded from on-device measurement features due to regulatory compliance requirements.
Why: Platform and regulatory changes have complicated App campaign performance measurement, creating attribution gaps between Google Ads and third-party reporting platforms that hindered optimization efforts and return on ad spend calculations for mobile app advertisers.

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Is Your SEO Strategy Ready for the AI Search Engine Takeover? Act Now — or Risk Getting Left Behind. – MSN

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