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SEO PowerSuite vs Ahrefs: How to Choose the Best SEO Solution – Exploding Topics

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If you want to improve your SEO, you need access to data that empowers you to make strategic decisions about your content.
SEO PowerSuite and Ahrefs offer insight into your site’s search performance and content opportunities. Choosing the right one will set you up for success, while the wrong tool can lead to workflow inefficiencies and misguided content plans.
I’ve had the chance to use several SEO platforms throughout my career, including Ahrefs. I’ve also tested out SEO PowerSuite to see how it compares.
If you’re torn between these two solutions, there are some major differences you should consider when deciding which one to use.
SEO PowerSuite is a comprehensive SEO platform. It provides keyword data, SERP rankings, competitor insights, backlink analysis, and more to help marketers refine their content strategies.
Unlike many other SEO toolkits, SEO PowerSuite is a desktop software. This means you install it on your PC, rather than using it online. All your data is stored on your computer, which has pros and cons that I’ll discuss in more detail below.
SEO PowerSuite markets itself as a beginner-friendly, cost-effective SEO solution. It’s primarily geared toward freelancers and small teams, especially because of the limitations of it being a desktop software.
Before I discuss SEO PowerSuite’s top features, I want to explain the difference between using a desktop software for your SEO toolkit, rather than an online platform.
The main benefit of installing your SEO software on your computer instead of running it in the cloud is security. You don’t have to worry as much about a data breach because all your information is stored locally.
The other advantage is that you can work offline—no internet connection required.
However, running SEO software locally also severely limits your collaboration capabilities. If you want multiple team members to be able to use SEO PowerSuite at the same time, they’ll each need their own license.
In addition to that, each team member will have to share their projects with one another using SEO PowerSuite Cloud, Dropbox, or Google Workspace.
Choosing SEO PowerSuite will have a significant impact on your SEO workflows, so this is a crucial aspect to consider when weighing your options.
With that out of the way, let’s look at the top features SEO PowerSuite has to offer. It includes all the staple tools you would expect to find in a full-featured SEO platform, including:
However, I want to focus on the features that truly set it apart, starting with its rank tracking tool.
Rank Tracking
Keeping an eye on how your site ranks for important keywords is standard practice for SEO professionals. SEO PowerSuite lets you track rankings for unlimited keywords.
This was the first feature I tried out when I installed SEO PowerSuite. All I had to do was enter a domain name and it pulled up some top keywords for me.
SEO PowerSuite Rank Tracking feature
Adding more keywords was super easy, too. I just had to click the plus button at the top of the screen and type in the term I wanted to track.
Here are the things that make this a standout feature in my opinion:
Ahrefs does let you increase your rank tracking update frequency from weekly to daily, but you have to purchase the Project Boost Max add-on. It comes at a steep price—$2,000 per year per project.
Local SEO
Above, I mentioned that you can use SEO PowerSuite’s rank tracking feature to monitor keyword rankings in multiple search engines. You can also use it to monitor rankings for specific locations.
You add a location using the same options you use to add a search engine.
Adding location specific rank tracking in SEO PowerSuite
What’s notable about SEO PowerSuite’s local rank tracking is that you can specify a street address. Most tools—including Ahrefs—let you narrow down your search by city, but in large metropolitan areas, that can cover a wide geographic area.
According to SEO PowerSuite, its geo-specific rankings provide more accurate data for local SEO.
SEO PowerSuite has an impressive 4.5 star rating on G2. Reading through some of them, I noticed that users are highly satisfied with the customer support team.
A five-star review for SEO PowerSuite from G2
Several people said they found the learning curve to be a bit steep, but the biggest complaint from customers is that the software slows their computers down.
This is definitely a risk that comes with choosing desktop software over an online tool, so be sure to review your computer’s specs before you download SEO PowerSuite.
I would say my experience with SEO PowerSuite lines up with what other users are saying. It’s not the most intuitive tool, and you have to keep manually updating all the data to see the latest stats. It took two minutes to load up rank tracking data. I think having to use it all the time would wear on me after a while.
The SEO PowerSuite Professional plan starts at just $29.10 per month. All plans are billed annually, so you have to pay upfront for at least 12 months.
That price sounds like a steal, but keep in mind you have to buy an additional license for each person on your team if you want everyone to be able to use SEO PowerSuite at the same time. It’s still less expensive than other platforms, but it will add up quickly if your team scales over time.
SEO PowerSuite also offers a Free Forever plan. It has strict limitations, so it’s not the best option for long-term use. It’s a great way to test out the software for yourself, though.
Ahrefs is one of the more well-known SEO tools available. It’s a popular solution for keyword research, competitor analysis, rank tracking, link building, site audits, and more.
Ahrefs is an online platform, so you don’t have to download software onto your computer to use it. You will, however, need an internet connection to be able to access your account and your data.
I highly recommend checking out this Ahrefs review for more details on everything it’s capable of.
Ahrefs is built for SEO professionals, especially agencies and in-house content teams. Its Starter plan also makes it a viable option for freelancers who may not have large budgets to cover the cost of the Lite plan.
Ahrefs has all the tools you need to create a solid SEO strategy, including:
Because Ahrefs is an online, cloud-based software, you can add multiple users to your account and collaborate without having to take extra steps to share projects. Each user will have their own login credentials, but can see the same data, reports, and dashboards as everyone else.
Like I did for SEO PowerSuite, I’m going to take a closer look at what I consider Ahrefs best features. However, it covers all your bases when it comes to SEO, so keep in mind that there’s a lot more to it than the features I’ve highlighted below.
Keyword Research
I’ve used Ahrefs’ keyword research tools more than anything else it has to offer. You can type in any keyword, and it pulls up all kinds of data, like the search volume, how difficult it is to rank for, SERP features, related keywords, and more.
Ahrefs keyword explorer
If you have a keyword in mind that you want to write about, this is a good starting point for gathering some background information.
The keyword ideas section can help you narrow down your focus and find the best term to optimize your content for.
Use trending keywords to create content your audience craves.
Brand Radar
Another feature worth mentioning is Ahrefs’ Brand Radar, which will show you other websites that are mentioning your brand (among other things).
Just type in your brand, select the Web Visibility option, and Ahrefs will return a list of websites that mention it.
Ahrefs Brand Radar tool
You can use the filters to narrow down the results. Where this becomes really helpful is if you purchase the add-on to access data from AI tools like ChatGPT and Perplexity.
AI has had a major impact on SEO. Understanding how your target audience is using answer engines to search for your brand is vital to increasing your visibility in AI-powered search.
SEO PowerSuite doesn’t have a comparable tool, so this is a significant plus for Ahrefs.
Ahrefs has stellar reviews on G2, matching SEO PowerSuite’s overall 4.5 star rating. Reviewers are very happy with the accuracy of the data it provides and its comprehensive toolset.
A five-star review for Ahrefs from G2
The most consistent complaints I found were about the pricing. Several users found the add-on system confusing.
Personally, I like only paying for the tools I need and customizing my platform for my needs. It does start to add up quickly, though, so I understand the frustration.
Most SEO professionals will probably want Ahrefs’ Lite plan, which costs $108 per month when billed annually. This plan allows you to have up to five projects, and gives you access to most of Ahrefs’ SEO tools.
As an alternative, you can sign up for the Starter plan for $29 per month. It has strict usage limits, so if you’re managing more than one small site, you’ll probably run out of credits quickly.
There’s no free trial for Ahrefs, so the Starter plan is your best option if you’re not entirely sure you want to commit. You can try out all the basic features and upgrade to the Lite plan if you decide it’s the best fit.
If you want to be able to try out your SEO tool for free before you hand over your credit card information, I recommend considering Semrush. It has a lot of similarities to Ahrefs, but you can try it at no cost.
Check out our Semrush vs Ahrefs comparison for a full rundown of how these two stack up against each other.
The number one thing I would consider when choosing between SEO PowerSuite and Ahrefs is whether you would prefer an online SEO platform or a desktop software that works locally on your computer.
This key difference between SEO PowerSuite and Ahrefs determines how you work with your team, as well as when and where you can access your SEO data. There’s a good chance that this aspect alone will determine which tool is the best choice for you.
In my opinion, if you’re working with a team (or think you might in the future), you’re better off choosing Ahrefs. Streamlined collaboration will save you time and frustration.
Want the collaboration options of Ahrefs, plus local SEO features and daily rank tracking data updates at no extra cost? Semrush is a great alternative to consider.
Try it for free and see for yourself!
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Molly is a technical content writer with a passion for making technology easy for anyone to understand. She specializes in content… Read more
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How To Make Money With AI: 18 Ideas (2025) – Shopify

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Artificial intelligence has become an essential tool in many industries. Generative AI completes repetitive tasks like answering customer questions, while the latest AI tools perform complex processes like creating product schematics and writing software. These advancements make AI a great opportunity for making money online.
The best part: You don’t need access to expensive AI technology to generate income. You can launch an AI-powered business and make money online with a commercially available application like Google Gemini or ChatGPT.
Here’s an overview of AI business ideas and artificial intelligence tools, and tips on how to make money using AI.

Before diving into money-making opportunities, let’s clarify what we mean by AI. Artificial intelligence refers to computer systems designed to perform tasks that typically require human intelligence. Like the human brain, an AI tool typically can learn from experience (also known as its “training”), adapt to changes, and improve over time.
Today’s AI landscape includes:
The speed at which artificial intelligence has developed has allowed it to permeate countless industries, from writing to data analytics. Market trends have produced a surge in AI applications throughout the economy, making it easier than ever to find ways to make money using AI. In fact, Statista predicts that the AI market size will reach $826 billion by 2030.
Here are a few ideas to explore if you’re looking to monetize AI.
AI is revolutionizing online selling, making it easier than ever to launch and scale an ecommerce business. Gone are the days when you needed technical expertise or a big budget to create a professional online store. Today’s AI-powered ecommerce platforms handle everything from store design to product descriptions, letting you focus on what matters: building a brand that connects with customers.
Some entrepreneurs are making thousands of dollars monthly by combining AI with smart product selection and targeted marketing. According to SellersCommerce, AI is expected to add $8.65 billion to the ecommerce industry in 2025, meaning more opportunities for savvy business owners. The key is using AI to handle the heavy lifting while you bring your unique vision and customer knowledge to the table.
For example, you can use Shopify’s AI store builder to create a free store design in minutes. Enter a quick description of your business or products to generate custom themes with a unique look tailored for your industry. Try any theme and customize them further to suit your needs.
Build an online store with AI
Create a website in minutes with the AI store builder. Describe your brand or products to generate a free custom theme that fits your idea.
AI tools can write the code that powers many types of software applications. This saves time and human power, cutting out the tedious task of drafting lines of code. You could work as a freelance coder and software developer, using AI coding tools to create programs for clients.
The software you create with AI can also incorporate AI models. For instance, you could use AI to create automated bookkeeping software that uses machine learning algorithms to process ledger entries and generate financial reports.
Embracing AI data analytics services includes the use of deep learning, natural language processing (NLP,) and sometimes computer vision (depending on the nature of the data and the insights sought). You can leverage AI technologies to gain insights, optimize processes, produce data visualization, and create new industry opportunities.
Many businesses pay for actionable information that can drive decision-making. Some of the leading AI data analytics products include RapidMiner, DataRobot, and Domino.
Recommended reading: Top AI Statistics and Artificial Intelligence Trends
There is ample market demand for customer service AI chatbots. Unlike human representatives, powerful AI chatbots can generate thousands of replies per minute, letting you serve customers online with great efficiency.
Create and provide AI chatbots or virtual assistants to businesses looking to enhance their customer service operations. You can make money with AI by personalizing your chatbots to automate responses and improve customer satisfaction on clients’ websites or platforms.
Thanks to NLP, AI writing tools can specialize in content creation that mimics human syntax with impressive precision. For example, freelance writers can use AI writing tools to generate ideas and write faster than they could unassisted. With AI-powered content generation, it streamlines the creative process, which opens up their bandwidth to offer writing services to more freelance clients, leading to higher pay without much additional effort.
In today’s business landscape, where AI tools like ChatGPT and Google Gemini, contribute to content creation, the role of an editor becomes crucial to ensure content quality, coherence, and alignment with brand values. That means, even if you don’t use AI applications for content creation, you could make money with AI by becoming an editor of AI content—offering a human touch to the high-volume output of AI tools.
Many AI-powered tools can produce AI-generated art for a variety of purposes. For example, you can use AI image generators for digital artwork like corporate logos, web design, t-shirt graphics, and more. Use a powerful tool like Midjourney or DALL-E to speed up the process of creating digital art for your clients. Once they sign off on a concept, you can use your editing skills to customize and perfect the AI-generated artwork.
Typically, you only need to prompt the AI art generator with a text description of your design idea, and the tool can create images based on your words. You can also use an AI-assisted design tool like Adobe Sensei or Canva to develop your visual concepts.
AI tools can design and build websites with remarkable speed. Utilizing AI tools, you can create a custom website that aligns with your objectives, like an ecommerce site or photography portfolio. This might mean building sites for clients or designing your own website to represent your business.
AI tools can now cut and edit videos based on a series of written inputs. AI video editing software like PictoryAI and Animoto works on everything from low-budget YouTube videos to professional films, TV shows, and commercials.
If you have foundational skills in video editing, incorporating AI tools can enhance your efficiency, helping you expedite the editing process. This increase in productivity can help you accommodate more clients. While a human editor’s oversight remains valuable, machine learning advancements have enabled software to generate AI video content with reduced need for manual intervention.
There are AI tools to handle nearly every aspect of digital marketing and even help you manage social media brands. You can integrate AI solutions that aid in content creation, schedule paid advertising content (through a combination of data analysis, predictive analytics, and automation), write blog posts, optimize sites for search engines, draft sponsored social media posts, and help with conversion rate optimization.
Many AI-powered marketing campaigns start with a set of human-crafted digital marketing materials. From there, AI tools can create and disseminate more content to help promote your clients or sell products and services thanks to AI content creation.
Recommended reading: How To Use AI for Sales, Plus 8 Effective AI Sales Tools
Make money with AI tools by getting into the affiliate marketing game. As an AI-powered affiliate marketer, you can generate income by promoting other companies’ products or services and earning commission. AI tools can help you set up an affiliate marketing website in part by observing search trends to figure out what products are worth featuring. Once it’s up and running, an affiliate marketing website can be a great side hustle, bringing in passive income while you focus on other projects.
Recommended reading: AI Affiliate Marketing: How To Earn with Artificial Intelligence
Large language models (LLMs) have a deep understanding of many languages, making them useful as translation tools. If you’re multilingual, you can offer AI translation and localization services. 
When you start an AI-assisted translation service, the AI translation tools produce a basic translation. Then you review the machine’s output, checking for accuracy and syntax before delivering to clients.
Financial analysts now use AI for predictive modeling. This could involve building AI algorithms for stock market predictions, risk assessment, or fraud detection in financial transactions. Learn more about these data analysis applications by checking out the existing AI finance software in this space, including Kensho, H2O Driverless AI, and Palantir Foundry.
Using AI, you can create online courses, training programs, and workshops. Use AI to create an outline for a course and flesh it out with unique content, relying on your expertise to finesse the AI’s output and tailor it to your target audience. On a business-to-consumer (B2C) basis, these courses can cater to individuals looking to upskill; on a business-to-business (B2B) basis, they could serve businesses looking to educate employees about their industry or buyer personas.
Develop custom AI solutions for automating the hiring process, including résumé screening, candidate matching, and interviews. This can save HR departments time and resources. Many of the nation’s leading job recruitment platforms already use AI-powered software to sort through applicants. Consider building specialized AI tools for niche businesses looking to hire rare skill sets.
AI-powered cybersecurity solutions help businesses detect threats and anomalies and monitor for these in real time. With cyberattacks on the rise, businesses are willing to invest in advanced security measures.
If you enter this field, your target audience likely will be companies storing large troves of customer data. For example, you would work to protect sensitive financial data that would have significant consequences if compromised.
Inventory management is a complex process that AI tools can simplify and be used for to help you save time. With AI-powered software, you can track the movement of products through a supply chain, predict stocking needs based on customer behavior, and update inventory records as products are sold and restocked.
As a digital entrepreneur, you can use an AI-powered all-in-one inventory management solution. Or, you can make more money by concentrating on a specific niche like warehousing or shipping logistics.
AI applications can now help with precision agriculture, crop monitoring, and yield prediction. These solutions can help farmers optimize their operations and improve crop yields. If you work in agriculture, you can join the farmers, seed producers, and resource managers who already make money with AI tools while improving food production.
According to a 2024 McKinsey & Company survey, 53% of respondents saw more than a 5% increase in revenue when leveraging AI tools for supply chain and inventory management. Use AI to perform tasks like optimizing inventory management systems, organizing routes and suppliers, performing quality control, predicting and managing risks, and forecasting demand.
With hundreds of AI tools available, choosing the right ones for your business is key. Here are some of the most popular AI applications, and their main use cases:

When selecting AI tools, consider these factors:
Remember that the most expensive tool isn’t always the best fit. Start with a free trial when available, and focus on tools that solve your specific business challenges rather than those with the most features.

Now that you’re familiar with how to use AI across a variety of industries, here are a few quick tips to consider as you get started.
Recommended reading: Best Artificial Intelligence Apps for a Range of Uses
One of the most common questions about AI-powered businesses is: How much can I actually earn? While earnings will vary widely based on your skills, time investment, and business model, here’s a realistic breakdown.
For specialized AI roles, Glassdoor’s salary data shows that AI/ML engineers earn an average of $170,768 per year in the United States, with a base salary of $125,436 plus additional compensation. Similarly, Machine learning engineers earn an average of $154,676 annually.
According to the US Bureau of Labor Statistics, AI data scientists earn a median annual wage of $112,590 as of May 2024. Employment in this field is projected to grow 36% from 2023 to 2033—much faster than average.
These figures represent full-time employment, but they provide a benchmark for what clients might expect to pay for specialized AI expertise.
According to a 2024 Upwork report, data science and analytics is one of the fastest-growing work categories, with AI modeling and machine learning skills in particularly high demand.
The Robert Half 2025 Technology Salary Guide confirms AI and machine learning skills are among the most sought-after technical capabilities, with 38% of employers actively seeking these skills—creating significant opportunities for freelancers and consultants in this space.
Beyond freelancing, entrepreneurs are building scalable AI-powered businesses. The key factors that influence your earning potential include:
Remember, building a successful AI business takes time. Many entrepreneurs start with side projects while maintaining other income sources, gradually scaling as they gain expertise and clients.
If you’re new to AI and excited about its potential, here’s a practical roadmap to help you get started without feeling overwhelmed:
Start by understanding AI fundamentals and capabilities. You don’t need to become a technical expert, but you should understand:
Resources like DataCamp’s AI learning guide can help you build this foundation quickly.
Begin experimenting with user-friendly AI tools that don’t require technical expertise, like:
Focus on understanding what these tools can and can’t do well, and how they might fit into your workflow or business model.
Based on your skills, interests, and market research, choose a specific direction:
The best opportunities often lie at the intersection of your unique skills and emerging AI capabilities.
Start small with a focused offering that delivers clear value:
The final step is to get your offering in front of real customers:
Remember that successful AI entrepreneurs rarely get everything right on the first try. The key is to start small, learn quickly, and adapt based on real-world feedback.
While many articles promise easy money with AI, the reality is more nuanced. As discussions on entrepreneurship forums reveal, successful AI entrepreneurs don’t typically ask “how to make money” questions—they’re focused on building and scaling their products and services.
So what separates successful AI entrepreneurs from the dreamers? It’s not technical expertise, but strategic application and problem-solving. Research from Precedence Research shows that businesses finding success are applying AI to specific commerce challenges. 
Successful approaches typically include:
Here’s how some real companies are leveraging AI to drive measurable results.
Sephora, the global beauty retailer, has implemented an AI-driven personalization strategy that transformed its customer experience.
According to a case study by RedressCompliance, Sephora’s AI system analyzes customer data, including purchase history, browsing behavior, and quiz responses to generate tailored product recommendations. 
The store also includes consumer AI features, such as:
Sephora’s approach demonstrates how AI can enhance rather than replace the personal elements of shopping.
Wayfair, the online home goods retailer, faced a significant challenge with its massive catalog of more than 40 million products. Manual tagging was slow and inconsistent, making it difficult for customers to find relevant items.
According to Snorkel AI’s customer story, Wayfair implemented a machine learning solution to automate and improve their product tagging process. 
The results:
The system works by analyzing product images and descriptions to automatically tag items with attributes like color, style, material, and function. This enables more precise search results and better product recommendations.
H&M, the global fashion retailer, was struggling with excess inventory and inefficient stock distribution across its stores worldwide. According to a case study by DigitalDefynd, H&M implemented an AI-driven demand forecasting system analyzing multiple data points, including:
The implementation helped H&M reduce excess inventory, decrease markdowns, and optimize its supply chain—getting the right products in the right stores at the right time.
These case studies highlight a crucial insight: successful AI implementation isn’t about replacing human decision-making but enhancing it with data-driven intelligence. The companies seeing the greatest ROI are those that use AI to solve specific business problems while maintaining their unique brand.

While AI offers exciting opportunities, there are several common mistakes that can derail your success. Being aware of these pitfalls can save you time, money, and frustration.
Many entrepreneurs fail because they have unrealistic expectations about what AI can do. According to the Project Management Institute, 70% to 80% of AI projects fail due to misaligned expectations and technical limitations.
Current AI excels at pattern recognition, content generation, and data analysis. It still struggles with common sense reasoning and creative problem-solving that requires human judgment. Before building a business around AI, thoroughly test the technology’s capabilities for your specific use case rather than relying on general claims about AI performance.
AI raises complex questions about copyright, data privacy, transparency, and bias. TechTarget highlights how businesses using AI may face ethical and legal challenges related to data privacy, security, and intellectual property.
Before launching an AI business:
The most common mistake is developing an AI solution and then searching for a problem it might solve. Successful entrepreneurs do the opposite—they identify customer problems first, then determine if and how AI can help solve them.
Start by understanding your target audience’s pain points through market research, surveys, and direct conversations. Only then should you consider which AI tools might help address those needs most effectively.
With AI tools becoming increasingly accessible, offering “AI-powered services” alone isn’t enough. 
To avoid becoming a commodity:
While AI can automate many tasks, the human touch remains essential for building trust and delivering exceptional customer experiences. 
The most successful AI businesses:
Remember that AI should serve your customers and your business goals—not the other way around. The technology is a means to an end, not the end itself.
As AI technology evolves rapidly, building a sustainable business requires thinking ahead. Here are strategies to ensure your AI-powered venture remains relevant and competitive:
Rather than betting everything on a single AI technology or platform, develop a hybrid approach combining multiple tools and methodologies. According to MIT Sloan Management Review, the most resilient AI implementations combine automated systems with human expertise.
This might mean:
Businesses built around specific AI technologies may become obsolete as those technologies evolve. Instead, focus your business on solving specific customer problems that will persist regardless of technological changes.
For example, rather than marketing yourself as a “GPT specialist,” position your business as helping clients “increase conversion rates through personalized customer experiences.” This need will remain even as the underlying technology changes.
The half-life of AI skills is shorter than in many other fields, with Harvard Business Review research finding technical skills in some fields can become outdated in as little as two and a half years. 
Set aside dedicated time each week to:
While AI tools themselves may become commoditized, you can build lasting value through:
By anticipating these changes, you can position your business to adapt quickly rather than being caught off guard.
Considering how far artificial intelligence tools have come in recent years, you have access to a lot of AI solutions to help turn your entrepreneurial dreams into reality. Commerce-driven AI makes it easier than ever for you to start and grow an online store that can compete in your industry.
Whether you’re writing product descriptions or need help turning live chats into checkouts, Shopify Magic supports you 24/7 with the powerful AI tools to help your ecommerce business thrive.
Build an online store with AI
Create a website in minutes with the AI store builder. Describe your brand or products to generate a free custom theme that fits your idea.
You can use AI tools to create optimized websites that bring in ad revenue, offer services like AI-powered accounting and bookkeeping that you advertise on freelance sites, or focus on content creation by using AI-powered tools to generate text and graphics for your clients.
Earning potential with AI can vary widely depending on how you leverage the technology, as well as your skills, time, industry, niche, and product demand. Generally, you can expect to earn monthly income from a few hundred to a few thousand dollars, but that also depends on factors like your marketing efforts and profit margins.
Among the AI tools you can use to make money with AI are ChatGPT, Jasper AI, Copy.ai, Writesonic, Rytr, Pictory, Animoto, RapidMiner, DataRobot, and Domino.
Yes, as with any new technology, there are risks associated with making money with AI. You should do your own due diligence when it comes to assessing the risk of using AI-powered platforms for your business, but here are a few considerations: AI algorithms can make mistakes (known as AI hallucinations), cite outdated data, and often lack the ability to cite the sources where it found information. There also could be potential legal risks associated with using AI tools in certain situations, so always consult with your attorney before embarking on a new business venture that utilizes AI technologies.
Yes, you can make money with AI by incorporating ChatGPT into your products or services. For example, you could offer AI chatbot services or automated customer support, or use the AI tool for freelance coding or content creation.
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[SEO, PPC & Attribution] Unlocking The Power Of Offline Marketing In A Digital World – Search Engine Journal

Download your cheat sheet and checklist to start building content that works harder.
Large AI Overviews on SERPs are affecting visibility and causing a dramatic decrease in traffic.
In this actionable session, Nick Gallagher, SEO Lead at Conductor, as he gives you actionable SEO guidance in this new era of search engine results page (SERPs).
Large AI Overviews on SERPs are affecting visibility and causing a dramatic decrease in traffic.
This template is your no-nonsense roadmap to a flexible, agile social media strategy.
Large AI Overviews on SERPs are affecting visibility and causing a dramatic decrease in traffic.
Find out how to enhance your conversion tracking by integrating phone call data into your digital marketing strategies today.
 This post was sponsored by CallTrackingMetrics. The opinions expressed in this article are the sponsor’s own.
Did you know 92% of all customer interactions are from phone calls?
And very few know how to track conversions from phone calls.
Brands meticulously track clicks, impressions, and online interactions through SEO, pay-per-click (PPC) ads, and data-driven strategies.
Yet, one critical piece is often missing: offline conversions.
Many high-intent customer interactions, especially in industries like healthcare, legal, home services, and B2B, happen over the phone.
If you’re in an industry that receives any number of calls, you may be struggling to connect these calls to your digital marketing efforts, leading to:
How do you fix this? Call tracking.
By leveraging AI-powered tools and advanced attribution technology, marketers can bridge the online-offline gap, ensuring no lead goes unnoticed.
TL;DR: Historically, you could not attribute conversions to phone calls; now, you can.
Yes, offline conversions can be tracked.
And despite the high percentage of customer interactions happening over the phone, many brands fail to track which ad or campaign led to those calls.
This could stem from knowledge gaps, tight budgets, or reluctance to integrate more technology into their stack.
Without call attribution, businesses are left guessing about what’s driving revenue.
Offline conversion attribution is the process of linking your online marketing efforts to offline sales or actions.
It helps you understand which digital marketing channels and campaigns contribute to offline conversions, such as in-store purchases, phone call inquiries, or signed contracts.
By paying attention to phone call conversion data, you can:
1. Connect Online Interactions To A Phone Call: A user clicks on a digital ad, visits a website, fills out a form, or calls a business after seeing an online campaign.
2. Store User Data In One Place: Data from these interactions (such as email, phone number, or a unique tracking ID) is captured and stored.
3. Match Callers With Offline Events: When a purchase or conversion happens in-store, over the phone, or through a sales team, businesses match it back to the initial online touchpoint.
4. Analyze & Optimize Webpages With Content That Converts: You can analyze which digital campaigns, keywords, or ads drive the most offline conversions, optimizing their marketing strategy accordingly.
When you introduce a tool that acts as Google Analytics for phones, you’ll be able to:
Without call tracking, the PPC ad might receive full credit, even though SEO and social played key roles. Choosing the right attribution model ensures data-driven marketing decisions.
Gain Keyword Attribution Beyond Clicks
Rankings, traffic, and forms typically measure SEO success fills. But what about phone calls? Call tracking technology with dynamic number insertion (DNI) allows businesses to:
For example, if multiple callers reference a specific product-related question, that insight can inform new blog topics or FAQ pages to improve SEO efforts, driving even more right-fit traffic into your sales funnel and conversion metrics.
Optimize For True Local SEO
Local search is a major driver of inbound calls. When combined with call tracking, businesses can finally understand:
Phone calls aren’t just conversions—they’re valuable sources of customer insights that your teams can use to refine ad strategies, train teams on sales pitches, and identify areas for growth in your content strategy. Each conversation has the potential to reveal the common questions, pain points, and content gaps that businesses can address to improve their marketing performance.
1. Identify FAQs for Stronger Content
Often, customers call a company’s support phone number when they can’t find information online, either about a product or service they’re considering buying or one they’ve already purchased. By analyzing call transcripts, businesses can spot recurring questions and proactively address them in blog posts, FAQs, or product pages.
For example, if a home services company frequently gets calls asking, “Do you offer emergency repairs on weekends?”, this signals a need to make that information more visible on their website. A dedicated service page or blog post could reduce unnecessary calls while improving customer experience.
2. Refine Your Website Messaging
If callers repeatedly ask about pricing, product differences, or service details, your website messaging probably isn’t clear enough.
For instance, an e-commerce brand selling fitness equipment might notice that callers often ask, “What’s the difference between your basic and premium treadmill?” Adding a simple comparison chart or explainer video can help lessen confusion and improve conversions.
3. Fill Content Gaps To Reduce Sales Friction
Repeated calls about the same topic are a good indicator of missing or unclear content. A B2B SaaS company, for example, might receive frequent inquiries about integrating with a particular CRM or social platform. Instead of solely relying on customer support, the marketing team could identify this pain point and create a step-by-step guide or video tutorial to address it, which would reduce friction and improve self-service for prospects.
Tracking clicks alone doesn’t reveal the full ROI of PPC campaigns. Many conversions, especially phone calls, happen offline and go untracked. Without attribution, businesses may waste ad spend and overlook high-intent leads. This section explores how call tracking connects PPC efforts to real conversions, improving marketing efficiency.
A high cost-per-click (CPC) doesn’t guarantee strong ROI if businesses aren’t tracking offline conversions. Without call tracking, marketers risk:
When a business fails to account for ROI in the form of phone calls, they’re losing an opportunity to accurately account for their real CPC and allocate resources accordingly.
PPC campaigns are only as effective as the data behind them. Without tracking phone calls, businesses risk misallocating budgets to keywords that drive clicks but not conversions. Integrating call tracking with Google Ads provides a clearer picture by linking calls to the specific campaigns, ad groups, and keywords that drive valuable conversions.
With AI-powered call scoring, marketers can identify high-intent leads and adjust bidding strategies based on actual conversion data—not just clicks. This ensures ad spend is focused on quality leads rather than wasted traffic.
Not every caller converts immediately. Call tracking allows businesses to retarget high-intent leads with personalized follow-ups. By analyzing call topics, marketers can tailor ads or email sequences to address specific customer concerns, increasing the likelihood of conversion.
Additionally, integrating call data with CRM platforms like HubSpot and Salesforce ensures sales teams can nurture prospects effectively, preventing lost opportunities. By combining PPC insights with offline conversions, businesses gain a clearer understanding of customer behavior, leading to smarter ad spend and more targeted outreach.
As marketing shifts to a mix of online and offline tactics, attribution models must evolve. By integrating call tracking with Google Analytics, CRM systems, and automation tools, businesses can gain a complete view of the customer journey.
A company that integrates CallTrackingMetrics with Google Analytics and its CRM can:
Call tracking is no longer just about recordings or basic attribution. AI-driven call analysis provides deep insights, such as:
By leveraging AI, businesses can better understand customer needs, improve sales strategies, and ensure marketing efforts are driving meaningful engagement. Implementing AI-driven call tracking empowers teams to make data-backed decisions that enhance both customer experience and conversion rates.
Marketers are often challenged to prove ROI beyond what we might call “vanity metrics”, like impressions and clicks. Though these have a place in any strategy, these metrics don’t necessarily move the needle toward sales goals.
Call tracking, on the other hand, delivers revenue-focused attribution, showing exactly how digital marketing contributes to bottom-line growth. This kind of revenue-focused attribution can help an entire company analyze past efforts and accurately forecast revenue based on real campaigns, real calls, and real results
Case Study: This study from CallTrackingMetrics demonstrated how AI-driven call tracking optimized PPC ROAS and improved lead quality​.
Want to see how conversation intelligence can improve your marketing performance? Check out our guide to building an effective omnichannel communications strategy.
Ready to get to work? Book a demo with our team and see how CallTrackingMetrics’ products can help you.
Image Credits
Featured Image: Image by CallTrackingMetrics. Used with permission.
CallTrackingMetrics is an award-winning, global conversation analytics company founded and led by a husband-wife team that enables marketers to make …
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What’s new in Android’s June 2025 Google System Updates [U: 6/16] – 9to5Google

The monthly “Google System Release Notes” primarily detail what’s new in Play services, Play Store, and Play system update across Android phones/tablets, Wear OS, Google/Android TV, Auto, and PC. Some features apply to end users, while others are aimed at developers.
The following first-party apps comprise the “Google System”:
A feature appearing in the changelog does not mean it’s widely available. Some capabilities take months to fully launch.
Account Management
Developer Services
Device Connectivity
Security & Privacy
System Management
Wallet
Important: Some features may be experimental and available to certain users.
Device Connectivity
System Management
Utilities
Wallet
Developer Services
Safety & Emergency
Wallet
FTC: We use income earning auto affiliate links. More.
Check out 9to5Google on YouTube for more news:
Breaking news for Android. Get the latest on app…
Editor-in-chief. Interested in the minutiae of Google and Alphabet. Tips/talk: abner@9to5g.com

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Edimakor V4.0.1 Revolutionizes Digital Creation with Powerful AI Image and Video Generation Tools – Cecil Daily

SHENZHEN, China, June 25, 2025 — Edimakor, leading creative software brand under HitPaw, released Edimakor V4.0.1 for public deployment. The new version marks a major breakthrough in the field of digital content creation. The software introduces creation of powerful AI-generated image and video, and artists and creators are now capable of generating extremely detailed and accurate visual content at extraordinary speed. Edimakor V4.0.1 streamlines professional-grade visual content creation to a simpler and more accessible task through a significant reduction in effort.
SHENZHEN, China, June 25, 2025 — Edimakor, leading creative software brand under HitPaw, released Edimakor V4.0.1 for public deployment. The new version marks a major breakthrough in the field of digital content creation. The software introduces creation of powerful AI-generated image and video, and artists and creators are now capable of generating extremely detailed and accurate visual content at extraordinary speed. Edimakor V4.0.1 streamlines professional-grade visual content creation to a simpler and more accessible task through a significant reduction in effort.
SHENZHEN, China, June 25, 2025 (SEND2PRESS NEWSWIRE) — Edimakor, leading creative software brand under HitPaw, released Edimakor V4.0.1 for public deployment. The new version marks a major breakthrough in the field of digital content creation. The software introduces creation of powerful AI-generated image and video, and artists and creators are now capable of generating extremely detailed and accurate visual content at extraordinary speed. Edimakor V4.0.1 streamlines professional-grade visual content creation to a simpler and more accessible task through a significant reduction in effort.
TEXT-TO-IMAGE: TURN WORDS INTO STUNNING VISUALS
With enhanced Text-to-Image feature, users can now make customized images within few clicks. Just write a description prompt, select one of 24 unique styles, select your desired resolution (Standard or 2K HD), choose one of seven available aspect ratios, and generate up to four images at a time.
This tool is more than a novelty—it’s built for quality. It delivers realistic portraits, supports precise text rendering (including font size, weight, and type), and produces high-resolution outputs ready for professional use.
REFERENCE-BASED IMAGE GENERATION: AI THAT UNDERSTANDS CONTEXT
Edimakor V4.0.1 also introduces a robust Reference-Based Image Generation feature. By uploading a reference image, the user can command the AI to generate new images that reflect significant characteristics that are present in the original.
Whether you are working towards smart reference adaptation or character trait preservation, the system makes sure that there is consistency in appearance, expressions, and facial details. This is perfect for comic artists, animators, and brand storytellers who need visual continuity.
IMAGE STYLIZATION: REDEFINE YOUR ART WITH AI
Want to create a new artistic look for your images? Edimakor’s Image Stylization lets you upload your image, choose one of 24 visual styles, and make up to four stylized versions in a matter of seconds. Ideal for posters, thumbnails, digital paintings, and striking social media updates.
AI VIDEO GENERATOR: A UNIFIED AIGC EXPERIENCE
A major highlight of V4.0.1 is the integration of AIGC into Edimakor’s AI Video Generator (AIVG), creating a single, unified system for video creation. As users shift away from traditional storyboard-based editing tools, Edimakor adapts to market trends by offering Sora-style video generation — where AI helps build video scenes intelligently based on prompts and creative direction.
New upgrades include:
This makes AI-powered video creation more versatile, efficient, and budget-friendly…
EDIMAKOR: EMPOWERING CREATORS WORLDWIDE
With Edimakor V4.0.1, HitPaw continuously demonstrates its commitment to smarter, faster, and more intuitive digital creation. From image to video, from text prompt to incredible output, Edimakor is a reliable assistant to creators in all industries.
Whether you’re crafting content for fun, for business, or for storytelling — Edimakor puts powerful tools at your fingertips without the steep learning curve.
MORE INFORMATION:
Official website: https://edimakor.hitpaw.com/
X/Twitter: https://x.com/HitpawEdimakor
YouTube: https://www.youtube.com/@HitPawEdimakorOfficial
Instagram: https://www.instagram.com/edimakor_official

NEWS SOURCE: HitPaw Edimakor

Keywords: Photography and Videography, HitPaw Edimakor, AI video, AI image generation, text fo video, prompting, editing, app, software, tools, technology, solutions, SHENZHEN, China

This press release was issued on behalf of the news source (HitPaw Edimakor) who is solely responsibile for its accuracy, by Send2Press® Newswire. Information is believed accurate but not guaranteed. Story ID: S2P127197 APDF15TBLLI
To view the original version, visit: https://www.send2press.com/wire/edimakor-v4-0-1-revolutionizes-digital-creation-with-powerful-ai-image-and-video-generation-tools/
© 2025 Send2Press® Newswire, a press release distribution service, Calif., USA.
Disclaimer: This press release content was not created by nor issued by the Associated Press (AP). Content below is unrelated to this news story.
Copyright 2025 Send2Press Newswire
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We’re expanding our Gemini 2.5 family of models – Google Blog

Jun 17, 2025
Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet.
We designed Gemini 2.5 to be a family of hybrid reasoning models that provide amazing performance, while also being at the Pareto Frontier of cost and speed. Today, we’re taking the next step with our 2.5 Pro and Flash models by releasing them as stable and generally available. And we’re bringing you 2.5 Flash-Lite in preview — our most cost-efficient and fastest 2.5 model yet.
Thanks to all of your feedback, today we’re releasing stable versions of 2.5 Flash and Pro, so you can build production applications with confidence. Developers like Spline and Rooms and organizations like Snap and SmartBear have already been using the latest versions in-production for the last few weeks.
We’re also introducing a preview of the new Gemini 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet. You can start building with the preview version now, and we’re looking forward to your feedback.
2.5 Flash-Lite has all-around higher quality than 2.0 Flash-Lite on coding, math, science, reasoning and multimodal benchmarks. It excels at high-volume, latency-sensitive tasks like translation and classification, with lower latency than 2.0 Flash-Lite and 2.0 Flash on a broad sample of prompts. It comes with the same capabilities that make Gemini 2.5 helpful, including the ability to turn thinking on at different budgets, connecting to tools like Google Search and code execution, multimodal input, and a 1 million-token context length.
See more details about our 2.5 family of models in the latest Gemini technical report.
The preview of Gemini 2.5 Flash-Lite is now available in Google AI Studio and Vertex AI, alongside the stable versions of 2.5 Flash and Pro. Both 2.5 Flash and Pro are also accessible in the Gemini app. We’ve also brought custom versions of 2.5 Flash-Lite and Flash to Search.
We can’t wait to see what you continue to build with Gemini 2.5.
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