How earthquake alerts work on Android – and how to make sure they're enabled on your phone – ZDNET

How earthquake alerts work on Android – and how to make sure they’re enabled on your phone  ZDNET
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Google in talks to license news content for AI, eyes publisher deals – Storyboard18

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Alphabet Inc.'s Google is in discussions with multiple news organizations as part of a new licensing initiative focused on artificial intelligence (AI), Bloomberg reported.
The move signals Google's intent to mend fragile relations with the media industry, which has been increasingly wary of how tech companies use their content to power AI tools.
Also Read: Google expands retail media play, partners Flipkart and Shopee to boost AI-powered commerce ads
According to sources familiar with the development, the pilot project will initially involve about 20 national news outlets. The aim is to allow Google to license news content for use in its AI-driven products, such as chatbots and AI-generated summaries, the report added.
According to the report, a Google spokesperson confirmed the company is "exploring and experimenting with new types of partnerships and product experiences" but declined to provide specifics on current plans or negotiations.
If successful, this initiative could represent a significant revenue stream for news outlets, many of which have been struggling financially due to declining readership and advertising in the digital age. AI has introduced a fresh layer of concern for publishers, as tools like chatbots and automated summaries increasingly draw traffic away from original news websites.
Startups like Perplexity AI and OpenAI have already initiated similar licensing efforts, recognizing the value of high-quality news content in training AI systems. Google's efforts appear to be in response to the growing pressure from the media industry to fairly compensate content creators whose work fuels generative AI.
A key point of contention has been Google's AI Overviews feature, which generates concise summaries that often rank high in search results, the report added. While publishers argue these summaries divert traffic, they have been reluctant to block their content due to fears of reduced visibility on Google's platform.
Google has previously introduced programmes such as Google News Showcase to pay publishers while upholding the legal boundaries of fair use. However, many industry stakeholders argue that such efforts fall short in addressing the broader risks posed by AI, the report added.
Also Read: OpenAI partners with Google Cloud as computing needs soar
In an earlier step this year, Google partnered with the Associated Press to license news for its Gemini chatbot, marking its first major deal for AI-specific content. Gemini, part of Google’s broader AI portfolio, is expected to play a central role in the company’s future content and product strategy.
The broader landscape has been marked by legal clashes. Notably, the New York Times filed a lawsuit against OpenAI and its key investor Microsoft in late 2023, accusing them of using copyrighted material to train AI systems without permission.
Google, which has had a more measured approach, now appears to be proactively seeking licensing agreements to avoid similar legal pitfalls and maintain amicable relations with news providers.
Also Read: Google offers Indian college students free access to Rs 19,500 AI Pro plan to boost digital learning
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At the Storyboard18 Digital Entertainment Summit in New Delhi, policymakers and industry leaders outlined how talent, technology, and governance will drive India’s push to dominate the global entertainment economy.
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Storyboard18 today has grown into the premier, multi-media destination for the news and the views that matter to the A&M community. In a short span of time, through its pioneering content and properties, Storyboard18 has become an aspiration platform where a mention matters more than the rest, setting the agenda and creating an impact for individuals, brands and businesses. Storyboard18 probes and provokes, igniting heated debates and discourse on the issues and topics that matter. Its breadth of content has grown to include trend-setting coverage of not only the advertising, marketing and media industries, but also startups, policy and tech. Storyboard18's IPs slate has grown to include marquee, aspirational properties like The Visionaries and Share The Spotlight. With its digital depth and television presence through two shows – Media Dialogues With Storyboard18 and the Storyboard18 weekend show, the brand has solidified its position as the apex platform for the A&M industry.

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Bobs SEO Revolutionizes Las Vegas Digital Marketing with Proven – RIVER COUNTRY – NEWS CHANNEL NEBRASKA

Bobs SEO Revolutionizes Las Vegas Digital Marketing with Proven  RIVER COUNTRY – NEWS CHANNEL NEBRASKA
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TV and movies are so expensive to produce not even AI will make a significant financial difference—and the streaming wars are to blame – Fortune

Sydney Lake is an associate editor at Fortune, where she writes and edits news for the publication's global news desk.
As artificial intelligence grows more sophisticated every day, its use cases are becoming innumerable. And with Google’s new video-generation tool Veo, content creation could get easier and more accessible than ever. 
But despite the potency of new AI-powered video and content generation tools, film and television experts aren’t holding their breath the technology will completely upend the industry. While AI can increase efficiencies for television and film producers, content creation in this industry has grown incredibly expensive thanks to streaming wars—and even AI can’t fix that. 
“Content’s squeezed right now, and it takes a lot of money to create great content. If you’re doing traditional film- and TV-length content at a high production value, it’s expensive, it’s getting more expensive,” Kevin Mayer, a former Disney executive, told Yahoo Finance’s “Opening Bid” podcast last week. “You can’t really depend on AI too much.”
The reason the cost of content has risen so dramatically is the streaming wars—the battle between Netflix, Amazon, Apple TV, Disney, Warner Bros. Discovery, and more—according to Jennifer Turner, a former executive vice president of TriStar Television for Sony Pictures Television.
During her time there, she managed the development and production of new premium television series for cable and streaming platforms. Over her career, she worked on hit shows like Grey’s Anatomy, Desperate Housewives, Lost, Friday Night Lights, and The Good Doctor. 

“The cost of acquiring [intellectual property], attaching talent, and the scope and scale of productions increased dramatically in service of streamers’ goal of acquiring customers,” Turner told Fortune. “It was a growth strategy. Now the focus is on profitability.”
Rob Rosenberg, former executive vice president and general counsel of Showtime Networks (a Paramount subsidiary), explained that when some of the streamers came online, they overpaid for projects to win in competitive bidding situations. This resulted in them sometimes paying 10 times the amount they could have paid to win the project. 
“When a single episode of series like Lord of the Rings, Citadel, and Stranger Things started costing more than many feature films, someone should have pumped the brakes, called for a time out and reassessed whether these costs could ever deliver a [return-on-investment] that justified them,” Rosenberg said. For example, one episode of Stranger Things cost $30 million, The Wall Street Journal reported in 2022. 
Yet, streaming giants like Apple keep pouring money into content knowing they could still “lose” the battle. According to a recent report from The Information, Apple has lost more than $1 billion per year by spending over $5 billion on streaming since its 2019 launch.
AI has already made its mark on the television and film industry—and even indirectly received a few Oscar nominations this year. Emilia Perez and The Brutalist both used AI to alter voices, and Adrian Brody won the Academy Award for best actor even though AI perfected his Hungarian accent. The tech has also been used to reverse-age Tom Hanks and Harrison Ford, according to a BBC report. 

Although AI can be used for visual and audio effects in television and film, the technology is still limited, Turner said. 
“We are a ways off from AI fully replacing feature-length films,” she said.
Meanwhile, the use of AI in film and television production has been a contentious issue recently, with more than 11,000 Hollywood film and TV screenwriters going on strike in 2023 against the use of the technology in their industry. 
Rosenberg emphasizes that at this point, AI is still just another tool that’s used for developing content—like CGI. 
“The industry is counting on the promise of efficiencies from AI streamlining workflows and automating labor-intensive tasks, but they haven’t yet generated proofs of concept that would cause everyone to dive in,” he said. 

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Everyone using Chrome must check their web browser and restart it immediately – The Mirror

If Chrome is your favoured browser then you should head to the settings, check which version you are running and restart this popular software without delay.
This new advice has been issued after Google released an update which fixes a total of 6 vulnerabilities within its Chrome browser.
If that wasn't bad enough, it's also been confirmed that one of the bugs has been given the dreaded zero-day rating. That basically means cyber crooks are already aware of the flaw and are actively exploiting it.
Things have now been fixed but it's vital that make sure you are running the latest version – 138.0.7204.157/.158 for Windows, Mac and 138.0.7204.157 for Linux.
"Google has released an update for its Chrome browser to patch six security vulnerabilities, including one zero-day," the security experts at Malwarebytes explained.
"This update is crucial since it addresses one actively exploited vulnerability, which can be abused when the user visits a malicious website. It doesn’t require any further user interaction, which means the user doesn’t need to click on anything in order for their system to be compromised."
To check your browser, simply click on Chrome in the menu bar and select About Chrome. If you see any updates that are pending your should restart the software without delay.
This latest alert comes after users were also urged to update their browsers early this month due to another zero-day bug being found.
These aren't the only concerns, as security experts also confirmed that millions of Chrome users had also been targeted by fake extensions that could leave them open to attack.
Those affected have been urged to fully reset their Chrome software and clear all browsing data.
Google says that it has since removed all the affected extensions, so no new users should be infected.
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AI Search is Here: Make Sure Your Brand Stands Out In The New Era Of SEO [Webinar] – Search Engine Journal

Download your cheat sheet and checklist to start building content that works harder.
In this exclusive session, you’ll learn about the new SEO playbook for AI.
In this exclusive session, you’ll learn about the new SEO playbook for AI.
Book this SEJ ad space. Get your content seen by 1M+ marketers who are looking for your expertise!
Book your SEJ ad space now & connect with social media marketers actively searching for tools & solutions: just like you.
Book this SEJ ad space. Get your content seen by 1M+ marketers who are looking for your expertise!
Join this tactical webinar where we’ll break down what it takes to get your brand cited, linked, and quoted in AI-generated content.
Wish you could control what AI says about your brand?
You’re not alone. 
As generative search becomes the default for tools like ChatGPT, Gemini, and Claude, fewer people are clicking through to traditional search results. If your content isn’t part of their training data or grounding sources, it’s effectively invisible.
And that means one thing: you’re no longer just optimizing for humans or search engines. You’re optimizing for machines that summarize the internet.
In this tactical webinar, we’ll break down what it takes to get your brand cited, linked, and quoted in AI-generated content, intentionally.
You’ll discover:


This isn’t theory. We’ll walk through the specific strategies SEOs and marketers are using right now to shape what language models say, and don’t say, about their brands.
Expect insights on:
AI search isn’t coming. It’s here. And it’s rewriting how visibility works.
In this session, you’ll learn:
This is for SEOs, content strategists, and marketing leads who want to stay relevant as AI redefines the playing field.
Whether you’re refining your search strategy or trying to future-proof your brand visibility, this session offers high-ROI insights you can apply immediately.
✅ Actionable examples
✅ Real-world GEO workflows
✅ Early looks at emerging standards like MCP, A2A, and llms.txt
📍 Designed for experienced marketers ready to lead change.
🛑 Can’t make it live? No problem. Register anyway, and we’ll send you the full recording so you don’t miss a thing.


 
Loren Baker is the Founder of SEJ, an Advisor at Alpha Brand Media and runs Foundation Digital, a digital marketing …
Join 75,000+ Digital Leaders.
Learn how to connect search, AI, and PPC into one unstoppable strategy.
Join 75,000+ Digital Leaders.
Learn how to connect search, AI, and PPC into one unstoppable strategy.
Join 75,000+ Digital Leaders.
Learn how to connect search, AI, and PPC into one unstoppable strategy.
In a world ruled by algorithms, SEJ brings timely, relevant information for SEOs, marketers, and entrepreneurs to optimize and grow their businesses — and careers.
Copyright © 2025 Search Engine Journal. All rights reserved. Published by Alpha Brand Media.

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Google updates timeline for migrating Keep reminders to Tasks – Android Police

Google updates timeline for migrating Keep reminders to Tasks  Android Police
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Semrush Review 2025 – Is It Worth It (My Verdict) – DemandSage

I use Semrush on a daily basis as the head of content on Demandsage & my Semrush review (video attached) will show you how to use it like a Pro!
Semrush did a major update recently, changing its user interface and pricing structure entirely. What used to be a cluttered, one-dashboard thing is now divided into different toolkits. However, the Semrush SEO Toolkit remains the core offering, which I will review primarily.
Along with the Semrush SEO Toolkit review, I will add all the details of other toolkits, their features, and pricing. 
Semrush is an all-in-one SEO solution that has toolsets to acknowledge both on-page and off-page SEO aspects.
With direct competition from Ahrefs and MOZ, Semrush stands out and proves itself worthy in many tests. I will review the platform further with real-world examples, and I will take you through some of them.
A quick verdict: Semrush is a great tool to have if you are serious about your SEO practices. The pricing is economical, and the features are evenly distributed across all plans. That means if you purchase even the most basic plan, the value that you get is justified.
Semrush helps you do keyword research, competitor analysis, site auditing, rank tracking, link building, and much more. Its balanced performance is the reason the platform has the trust of more than 1.1 million users and continues to grow.
Let me summarize the complete article for you in this section!
Semrush packs around 50 tools in its toolkit, making it a complete solution for online marketing. You can use Semrush to run keyword research, competitor spying, website auditing, PPC campaigns, email marketing campaigns, AI writing, and more!
In the last 1.5 years, Semrush has rolled out 33 major updates. Let us take a look at them here!
Semrush introduced a new dashboard design with the latest update. With a new, modern, and sleek design, Semrush removed all the unnecessary items that were scattered across the menu. 
Now, users are left with a clean feature structure. You don’t have to scroll through subsections endlessly to find a specific tool. You can simply select the toolkit option and find the respective tool. 
However, you will need a subscription to those toolkits in order to access the features. Well, that’s something else we will be discussing later. We are here for the main SEO toolkit, right?
So let’s get started with it. 
After the update, you will find six modules under the Semrush SEO Toolkit section: 
I am going to break down all these sections one by one, so you will have a better idea of which tool to proceed with. 
Before we go ahead with a detailed review of the SEO toolkit, check my Semrush free trial video here.
Semrush has a total of 5 tools in this module that help you with a complete domain analysis of your competition.
Here is the list of tools that you will find under this module:
– Domain Overview
– Organic Research
– Keyword Gap
– Backlink Gap
Note: The Traffic Analytics tool from this module has been moved to the “Traffic & Market” toolkit after the new update.
Let us see each of these tools in action below!
Tip: If you are wondering how accurate Semrush is, then check here for detailed information on its accuracy.
With the domain overview module, you will get insights into the strengths and weaknesses of your competitor’s website. All you have to do is put your competitors’ URLs in the search bar, and Semrush will give you a report on the website’s organic search traffic, paid search traffic (if any), and the number of backlinks in the very first fold.
Semrush will also show you the traffic distribution in different countries and the number of keywords the domain is ranking for in each country.
We put our site in the search box for this example.
Now you might wonder, “How accurate is this data?” Let’s cross-verify it with Google Search Console. The in-house data indicates a traffic count of 58.9K, while Semrush reports 59.4K, which is quite close.
This minor difference of 0.5K may not be big, but you need to understand that Semrush doesn’t have access to your GSC data. It directly retrieves data from its own crawler and third-party sources
The Organic Research tool helps users understand their website’s organic traffic. You can even compare the traffic against your competitors’.
The tool gives you instant insights into the top keywords your site is getting the most traffic from. Also, you will get traffic distribution (percentage-wise) based on keyword by intent. 
Refer to the screenshot below to get an idea of the tool.
As you can see in this screenshot, Semrush also gives tags to the keywords — for example, you can see an “I” in blue color in front of a keyword in the above screenshot, which means that the keyword is “informative” in nature.
“N” is for navigational, “C” is for commercial, and “T” is for transactional.
The new “SERP Features Trend” is unique among all. This feature was introduced after Google started putting weight on other aspects of your content, like images, videos, etc.
Now, you will know the exact number of keywords (and images) from your website that are optimized for different purposes, even for the AI overview. 
Semrush’s keyword gap helps you compare organic and paid keywords with up to five domains, subdomains, or even specific URLs. This feature comes in handy when comparing your website rankings and keywords with those of your competitors.
You can see in the screenshot below that we had put Under Armour as the root domain and added Adidas, Reebok, and other domains to compare.
Semrush gave two things in the upper fold: first, it gave the top keywords and their volume, and second, it gave a responsive infographic with colorful circles. Each circle was assigned to one URL, and they were in different sizes; the size of the circle was dependent on the number of keywords each site had. The bigger the circle, the larger the number of keywords.
They also overlapped, showing the number of common keywords.
Enough about Keywords; let’s get into some backlinks now!
The backlinks gap tool helps you compare your website’s backlinks against your competitors. These metrics help you uncover all those websites linking to your competitor but not to your website.
What’s more, a “Weak” section will also display the domains that mainly point to your website less frequently than your competitors. Other than that, you also get to see unique and common backlinks between you and your competitor.
While Semrush has a separate set of tools, especially for backlink building (which we are going to look at later in the post), these sections provide ample insights into a competitor’s backlink profile.
Semrush claims to have 26.7 billion keywords in its database currently. That is among the top SEO tools in the market.
Semrush Keyword Catalog has five tools in its bucket:
However, I will discuss only the Keyword Overview and Keyword Magic Tools as they are core tools of the Semrush SEO toolkit. 
I use these tools quite often for doing keyword research for the DemandSage blog. I’m gonna share my experience using the tool.
The keyword magic tool of Semrush is a good place to start keyword research. The research team at Demandsage is a huge fan of this insightful, heavy tool. All you have to do is enter a keyword in the search box, and Semrush will show you the following things:
Refer to the screenshot below to get a better idea of what I’m saying
Keyword research is the backbone of any SEO strategy. It always starts with identifying potential keywords to target once you have decided on the niche.
Semrush has a user-friendly interface that is easy to navigate and understand, even for beginners; if we compare it with Ahrefs, it has a more complex interface that may take some time to get used to.
Now, you might be wondering how accurate the metrics by Semrush are. Take a look at this study, which thoroughly tests this matter. Let me sum up the findings for you real quick.
It was found that Semrush had the highest percentage of keyword search volumes, which was closest to the Google Search Console value. Then, it also ran a series of head-to-head comparisons to evaluate how its search volume compared to each platform one-on-one. In all cases, Semrush won these head-to-heads by a large margin.
The keyword magic tool is another tool in Semrush’s keyword analytical arsenal. You might be wondering why you need two tools for the same purpose. Wait, they are quite different.
The Keyword Magic Tool is a better option for experienced people. On the other hand, the keyword overview tool is a good starting point for beginners.
Here is what you get when you search for a keyword in the keyword magic tool:
You also get the ability to filter the results based on numerous factors such as keyword volume, keyword difficulty, CPC, and more. You can also export the list of keywords to an Excel sheet with just a click.
Want to know how to use Semrush for Keyword research? Check out our detailed guide here.
Try Semrush Keyword Research Module for Free
Claim Semrush 14-day free trial with access to PRO SEO features.

In this section, we will review Semrush’s backlinking building tools. Is it any good? Let’s have a look.
When you enter a specific URL or a domain in the backlink analytics tool, you will see the following metrics.
Refer to the screenshot below, where we have put our own URL to give you an example:
I put some filters in place to see the newest backlinks. You can see that Semrush shows a backlink that the URL received just yesterday (at the time of writing this post).
If you scroll down further, you will see additional backlink data in the form of infographics. This data representation is both easy to understand and fun to deal with. Who said backlink audits are boring? 😀
The Backlinks audit tool helps you get detailed insights into the toxicity score of a site’s backlink profile. The toxicity score is nothing but the number of suspicious domains linked to a website.
The Semrush backlink audit tool not only gives metrics but also insights into how you can improve those metrics.
Ahrefs does a slightly better job when it comes to backlink analytics. You can read that in our detailed comparison of Semrush vs. Ahrefs (whose link you’ll find in the post above!).
I personally would give Semrush an 8/10 for its backlink analytical abilities.
Semrush’s on-page and tech SEO toolkit is a valuable tool for any website owner or SEO professional. It can help you identify and fix any technical SEO issues and improve your website’s on-page SEO.
Let’s review them quickly!
Semrush crawls your website and generates a detailed report that includes metrics on crawlability and indexability, meta tags, internal and external linking errors, structured data, JavaScript and CSS errors, and mobile-friendliness.
Semrush Site Audit also provides you with a Site Health score, which is an overall indicator of the SEO health of your website. This score is based on the number and seriousness of issues found.
Run a Website Audit With Semrush for FREE
Claim Semrush 14-day free trial with access to PRO SEO features.

One of the things that sets Semrush Site Audit apart from other website audit tools is its ease of use. The interface is really easy to understand; mind it, technical SEO can be quite tricky to deal with, but Semrush’s way of displaying the reports is easy to understand.
Semrush’s On-Page SEO Checker helps you improve the on-page SEO of your website. It analyzes your website and provides you with a detailed report that includes metrics such as keyword usage, meta tags, title tags, headings, images, internal linking, and content readability.
After Semrush is done analyzing these metrics, it suggests strategy ideas, UI ideas, SERP feature ideas, backlink ideas, and more. You have to check these ideas and tick them off your on-page SEO checklist.
I personally feel that this tool blows things out of proportion. Sorry, Semrush, I have to turn my back on you for this one 🙁
We at Demandsage prefer to go with Surfer SEO and Page Optimizer Pro.
Now let’s talk about the Content Ideas module in the Semrush SEO toolkit: 
The SEO Writing Assistant is a real-time content optimization tool that analyzes your writing as you create it. 
It offers suggestions for enhancing readability, SEO optimization, tone of voice, and originality, and it functions as a plugin for Google Docs, WordPress, and other content creation platforms.
Topic Research helps you discover trending topics and content ideas within your specific niche. You can enter just one single keyword (or phrase) to get topic ideas for different niches. 
This tool shows what questions people are asking, reveals related subtopics, and displays trending headlines to inspire and guide your content strategy development.
The SEO Content Template creates a data-driven template for writing SEO-optimized content. 
You can analyze the top-ranking pages for your target keyword and provide comprehensive recommendations for semantic keywords, ideal text length, readability improvements, and relevant backlinks to include in your content.
In this section, you will find supplementary tools provided by Semrush beyond the SEO toolkit. Here’s a quick overview of all these tools: 
Now, let’s take a look at other toolkits that Semrush is offering individually as per users’ needs: 
Semrush Advertising Toolkit is a comprehensive suite of tools that can help you plan, launch, and manage your online advertising campaigns.
Here are some of the key features of Semrush Advertising Toolkit:
Pricing: Starting from $99/month
The Traffic & Market Analysis module offers tools like Domain Overview and Advertising Research to gain insights into competitors and advertising strategies.
The core capabilities of this toolkit are: 
Pricing: $289/month
Social media users want their favorite brands to be more active on social media than ever. Semrush recognizes this and provides a social media toolkit to help you with the task.
The social media toolkit enables you to create, analyze, and spread content across social media platforms. You can schedule your posts, get insights, and track your competitors.
Now, I haven’t personally tested the tool, but I came across many reviews on the web that said that Semrush is a great SEO tool, but it falls short when it comes to managing social media. There are many great tools for managing social media, like Hootsuite, Sprout Social, and Buffer.
You can refer to the screenshot below to see one of the features of the tool in action. Here, we are creating a content planner!
As of now, Semrush only supports these social media channels: Facebook, Twitter, LinkedIn, Instagram, Pinterest, and Google My Business.
Pricing: The Pro plan starts at $20/month
Every now and then, we have heard that content is King!
Yes, content is still the king, but here’s the catch: We have to intend to solve users’ problems precisely and structure them. This is where the Semrush content marketing toolkit comes into play. 
In our experience, the Semrush Content Marketing toolkit is effective, but I don’t praise it. They have a structured platform that helps you get started. 
For example, with the content marketing toolkit, you can start with topic research, create a proper plan, write the article, optimize it properly, check & analyze the mentions, and then mention the impacts. 
Everything is fine, but not that great. However, one thing I liked about Semrush’s content is its Topic Research. To get started, you need to enter a seed keyword. It will show topics, headlines, and questions. What’s more, with questions, you will get a whole content map, which is typically the copy of SEO tools like AnswerThePublic. 
Even the best part is that you can find topic ideas for specific geolocations, such as the US, UK, etc. 
Pricing: $60/month
Semrush’s Local Toolkit is designed for businesses that need to attract local customers. It focuses on optimizing your Google Business Profile with AI-powered post creation and automated review responses. 
The toolkit automatically keeps your business information consistent across over 70 directories, which is crucial for local search rankings. You can monitor and respond to reviews from a centralized dashboard, plus track how you’re ranking on Google Maps in your target area. It works whether you have one location or multiple storefronts.
Pricing: Starts at $20/month
Yes, Semrush also comes with other notable features that I haven’t reviewed in this review of Semrush. So, we’re just listing some other notable features of Semrush here. 
Semrush is made for both agencies and individuals. Its wide range of features makes it useful for website owners, content marketers, SEO specialists, and even social media marketers.
While it has tools for all these professions, SEO and content marketing tools are the best.
Taking this question monetarily, people who can afford the tool should really go for it, as it is a good value for money. If you are on a budget, Semrush has a free trial that lasts 7 days, but with our exclusive offer, you can get an extended free trial of 14 days.
Let me break down Semrush’s pricing plans for you in the section below:
Semrush SEO toolkit is still an integral part of the platform. Here’s a quick overview of its pricing: 
Semrush has done a pretty good job of curating its pricing plans. While it may seem pricey to some, it is certainly worth every buck you pay for it. You can save up to 17% additionally if you bill the product annually.
You also get to try Semrush free for 14 days!
Semrush’s Pro plan is an ideal choice for freelancers and solopreneurs who need to manage their own marketing campaigns.
With the Pro plan, users can have up to 5 projects and track up to 500 keywords with daily updates. But you can only get 10K domain and keyword analytics results per report, 3K reports per day, and 100 K page crawl credits per month.
You’ll get access to the keyword, domain, and backlink analytics tool when you purchase the Pro plan, but you won’t be able to access the content marketing tool.
This plan is ideal for mid-sized businesses and agencies that need to manage multiple marketing campaigns and clients. You get up to 15 projects and 1500 keywords to track.
They are limited to 30k domain and keyword analytics results per report, with 5k reports per day and 300k page crawl credits per month.
Purchasing the Guru plan allows you to access all the tools in the content marketing platform, like SEO writing assistant, 800 SEO content templates, and more. With this, you will also benefit from Google Data Studio integration and access to historical data.
The business plan is the top-priced plan in Semrush. It’s mainly designed for large enterprises and businesses that cost $416.66/mo if billed annually.
It comes with the highest usage limit of 5000 keywords, 50k domain and keyword results per report, 10k reports per day, and 1 million page crawl credits.
If you are still confused about which plan to choose, we recommend you get Semrush’s free trial and decide for yourself. Because who else knows your needs better than you?
Semrush is loaded with features, BUT Semrush does not have a Browser extension 🙁
An extension would allow users to access Semrush data and tools directly from their WordPress dashboard. This would be a convenient way to manage SEO and marketing campaigns without having to switch between different platforms.
Semrush’s closest competitor, Ahrefs, has a great extension that I personally use.
For beginners, it’s difficult to understand the data. When Semrush is compared to Ahrefs, Ahrefs wins in the interface game. If Semrush could combine all the modules into one single toolkit, it would be easy for users. For example, the keyword Overview Tool and Keyword Magic Tool can be combined to work in a single interface.
Other than these two drawbacks, I didn’t find any other drawbacks.
Here are a few alternatives to Semrush that you can consider. 
If you wish to read about all of the above in more detail, check our dedicated post on Semrush alternative.
I have been using Semrush as an SEO and Content Marketer on a daily basis for DemandSage. Even after the new updates, they didn’t compromise their accuracy and data quality. Some new upgrades are proprietary that you won’t find anywhere else. 
Based on my experience, Semrush is worth the money you’re paying. It offers an all-in-one toolkit for all your marketing needs, especially the SEO toolkit. It has drawbacks, as mentioned above in this review. However, it still beats another complete suite of marketing tools.
Semrush 14 Days Guru Free Trial
Claim Semrush 14-day free trial with access to Guru SEO features.
With a base price of $139.95 every month, the Semrush SEO toolkit is a worthy all-in-one suite.
The prices, too, are justified as Semrush keeps updating its database and improving its features on a regular basis (which needs funding).
I hope you were able to learn all about this great tool in this review. Let me know if I missed anything. Demandsage is always ears to hear your suggestions!
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Data-Driven Solution For Business Growth

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SEO Optimization: How Google’s AI Works (July 2025) – Unite.AI

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Search Engine Optimization (SEO) is the process of optimizing on-page and off-page factors that impact how high a web page ranks for a specific search term. This is a multi-faceted process that includes optimizing page loading speed, generating a link building strategy, using SEO tools, as well as learning how to reverse engineer Google’s AI by using computational thinking.
Computational thinking is an advanced type of analysis and problem-solving technique that computer programmers use when writing code and algorithms. Computational thinkers will seek the ground truth by breaking down a problem and analyzing it using first principles thinking.
Since Google does not release their secret sauce to anyone, we will rely on computational thinking. We will walk through some pivotal moments in Google’s history that shaped the algorithms that are used, and we will learn why this matters.
We will begin with a book that was published in 2012, called “How to Create a Mind: The Secret of Human Thought Revealed” by renowned futurist, and inventor Ray Kurzweil. This book dissected the human brain, and broke down the ways it works. We learn from the ground up how the brain trains itself using pattern recognition to become a prediction machine, always working at predicting the future, even predicting the next word.
How do humans recognize patterns in every day life? How are these connections formed in the brain? The book begins with understanding hierarchical thinking, this is understanding a structure that is composed of diverse elements that are arranged in a pattern, this arrangement then represents a symbol such as a letter or character, and then this is further arranged into a more advanced pattern such as a word, and eventually a sentence. Eventually these patterns form ideas, and these ideas are transformed into the products that humans are responsible for building.
By emulating the human brain, revealed is a pathway to creating an advanced AI beyond the current capabilities of the neural networks that were around at the time of publishing.
The book was a blueprint for creating an AI that can scale by vacuuming the world’s data, and use its multi-layered pattern recognition processing to parse text, images, audio, and video. A system optimized for upscaling due to the benefits of the cloud and its parallel processing capabilities. In other words there would be no maximum on data input or output.
This book was so pivotal that soon after its publishing the author Ray Kurzweil was hired by Google to become the Director of Engineering focused on machine learning and language processing. A role that perfectly aligned with the book he had written.
It would be impossible to deny how influential this book was to the future of Google, and how they rank websites. This AI book should be mandatory reading for anyone who wishes to become an SEO expert.
Launched in 2010, DeepMind was a hot new startup using a revolutionary new type of AI algorithm that was taking the world by storm, it was called reinforcement learning. DeepMind described it best as:
“We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. The model is a convolutional neural network, trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards.”
By fusing deep learning with reinforcement learning it became a deep reinforcement learning system. By 2013, DeepMind was using these algorithms to rack up victories against human players on Atari 2600 games – And this was achieved by mimicking the human brain and how it learns from training and repetition.
Similar to how a human learns by repetition, whether it is kicking a ball, or playing Tetris, the AI would also learn. The AI’s neural network tracked performance and would incrementally self-improve resulting in stronger move selection in the next iteration.
DeepMind was so dominant in its technological lead that Google had to buy access to the technology. DeepMind was acquired for more than $500 million in 2014.
After the acquisition the AI industry witnessed successive breakthroughs, a type not seen since May 11, 1997, when chess grandmaster Garry Kasparov lost the first game of a six-game match against Deep Blue, a chess-playing computer developed by scientists at IBM. 
In 2015, DeepMind refined the algorithm to test it on Atari’s suite of 49 games, and the machine beat human performance on 23 of them.
That was just the beginning, later in 2015 DeepMind began focusing on AlphaGo, a program with the stated aim of defeating a professional Go World Champion. The ancient game of Go, which was first seen in China some 4000 years ago, is considered to be the most challenging game in human history, with its potential 10360 possible moves.
DeepMind used supervised learning to train the AlphaGo system by learning from human players. Soon after, DeepMind made headlines after AlphaGo beat Lee Sedol, the world champion, in a five-game match in March 2016.
Not be outdone, in October, 2017 DeepMind released AlphaGo Zero, a new model with the key differentiator that it required zero human training. Since it did not require human training, it also required no labeling of data, the system essentially used unsupervised learning. AlphaGo Zero rapidly surpassed its predecessor, as described by DeepMind.
“Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play. In doing so, it quickly surpassed human level of play and defeated the previously published champion-defeating version of AlphaGo by 100 games to 0.”
In the meantime, the SEO world was hyper focused on PageRank, the backbone of Google. It begins in 1995, when Larry Page and Sergey Brin were Ph.D. students at Stanford University. The duo began collaborating on a novel research project nicknamed “BackRub”. The goal was ranking web pages into a measure of importance by converting their backlink data. A backlink is quite simply any link from one page to another, similar to this link.
The algorithm was later renamed to PageRank, named after both the term “web page” and co-founder Larry Page. Larry Page and Sergey Brin had the ambitious goal of building a search engine that could power the entire web purely by backlinks.
And it worked.
SEO professionals immediately understood the basics of how google calculates a quality ranking for a web page by using PageRank. Some Savvy black hat SEO entrepreneurs took it a step further, understanding that to scale content, that it might make sense to buy links instead of waiting to acquire them organically.
A new economy emerged around backlinks. Eager website owners who needed to impact search engine rankings would buy links, and in return desperate to monetize websites would sell them links.
The websites who purchased links often overnight invaded Google outranking established brands.
Ranking using this method worked really well for a long time – Until it stopped working, probably around the same time machine learning kicked in and solved the underlying problem.  With the introduction of deep reinforcement learning, PageRank would become a ranking variable, not the dominant factor.
By now the SEO community is divided on link buying as a strategy. I personally believe that link buying offers sub-optimal results, and that the best methods to acquire backlinks is based on variables that are industry specific. One legitimate service that I can recommend is called HARO (Help a Reporter Out). The opportunity at HARO is to acquire backlinks by fulfilling media requests.
Established brands never had to worry about sourcing links, since they had the benefits of time working in their favor. The older a website, the more time it has had to collect high quality backlinks. In other words, a search engine ranking was heavily dependent on the age of a website, if you calculate using the metric time = backlinks.
For example, CNN would naturally receive backlinks for a news article due to its brand, its trust, and because it was listed high to begin with – So naturally it gained more backlinks from people researching an article and linking to the first search result they found.
Meaning that higher ranked webpages organically received more backlinks. Unfortunately, this meant new websites  were often forced to abuse the backlink algorithm by turning to a backlink marketplace.
In the early 2000s, buying backlinks worked remarkably well and it was a simple process. Link buyers purchased links from high authority websites, often sitewide footer links, or perhaps on a per article basis (often disguised as a guest post), and the sellers desperate to monetize their websites were happy to oblige – Unfortunately, often at the sacrifice of quality.
Eventually the Google talent pool of machine learning engineers understood that coding search engine results by hand was futile, and a lot of PageRank was handwritten coding. Instead they understood that the AI would eventually become responsible with fully calculating the rankings with no to little human interference.
To stay competitive Google uses every tool in their arsenal and this includes deep reinforcement learning – The most advanced type of machine learning algorithm in the world.
This system layered on top of Google’s acquisition of MetaWeb was a gamechanger. The reason the 2010 MetaWeb acquisition was so important is that it reduced the weight that Google placed on keywords. Context was all of a sudden important, this was achieved by using a categorization methodology called ‘entities’. As Fast Company described:
Once Metaweb figures out to which entity you’re referring, it can provide a set of results. It can even combine entities for more complex searches– “actresses over 40” might be one entity, “actresses living in New York City” might be another, and “actresses with a movie currently playing” might be another. “.
This technology was rolled into a major algorithm update called RankBrain that was launched in the spring of 2015. RankBrain focused on understanding context versus being purely keyword based, and RankBrain would also consider environmental contexts (e.g., searcher location) and extrapolate meaning where there had been none before. This was an important update especially for mobile users.
Now that we understand how Google uses these technologies, let’s use computational theory to speculate on how it’s done.
Deep learning is the most commonly used type of machine learning – It would be impossible for Google not to use this algorithm.
Deep learning is influenced significantly by how the human brain operates and it attempts to mirror the brain’s behavior in how it uses pattern recognition to identify, and categorize objects.
For example, if you see the letter a, your brain automatically recognizes the lines and shapes to then identify it as the letter a. The same is applied by the letters ap, your brain automatically attempts to predict the future by coming up with potential words such as app or apple. Other patterns may include numbers, road signs, or identifying a loved one in a crowded airport.
You can think of the interconnections in a deep learning system to be similar to how the human brain operates with the connection of neurons and synapses.
Deep learning is ultimately the term given to machine learning architectures that join many multilayer perceptron’s together, so that there isn’t just one hidden layer but many hidden layers. The “deeper” that the deep neural network is, the more sophisticated patterns the network can learn.
Fully connected networks can be combined with other machine learning functions to create different deep learning architectures.
Google spiders the world’s websites by following hyperlinks (think neurons) that connect websites to one another. This was the original methodology that Google used from day one, and is still in use. Once websites are indexed various types of AI are used to analyze this treasure trove of data.
Google’s system labels the webpages according to various internal metrics, with only minor human input or intervention. An example of an intervention would be the manual removal of a specific URL due to a DMCA Removal Request.
Google engineers are renowned for frustrating attendees at SEO conferences, and this is because Google executives can never properly articulate how Google operates. When questions are asked about why certain websites fail to rank, it’s almost always the same poorly articulated response. The response is so frequent that often attendees preemptively state that they have committed to creating good content for months or even years on end with no positive results.
Predictably, website owners are instructed to focus on building valuable content – An important component, but far from being comprehensive.
This lack of answer is because the executives are incapable of properly answering the question. Google’s algorithm operates in a black box. There’s input, and then output – and that is how deep learning works.
Let’s now return to a ranking penalty that is negatively impacting millions of websites often without the knowledge of the website owner.
Google is not often transparent, PageSpeed Insights is the exception. Websites that fail this speed test will be sent into a penalty box for loading slowly – Especially if mobile users are impacted.
What is suspected is that at some point in the process there’s a decision tree that parses fast websites, versus slow loading (PageSpeed Insights failed) websites. A decision tree is essentially an algorithmic approach which splits the dataset into individual data points based on different criteria. The criteria may be to negatively influence how high a page ranks for mobile versus desktop users.
Hypothetically a penalty could be applied to the natural ranking score. For example, a website that without penalty would rank at #5 may have a -20, -50, or some other unknown variable that will reduce the rank to #25, #55, or another number as selected by the AI.
In the future we may see the end of the PageSpeed Insights, when Google becomes more confident in their AI. This current intervention on speed by Google is dangerous as it may potentially eliminate results that would have been optimal, and it discriminates against the less tech savvy.
It’s a big request to demand that everyone who runs a small business to have the expertise to successfully diagnose and remedy speed test issues. One simple solution would be for Google to simply release a speed optimization plug-in for wordpress users, as wordpress powers 43% of the internet.
Unfortunately, all SEO efforts are in vain if a website fails to pass Google’s PageSpeed Insights. The stakes are nothing less than a website vanishing from Google.
How to pass this test is an article for another time but at a minimum you should verify if your website passes.
Another important technical metric to worry about is a security protocol called SSL (Secure Sockets Layer). This changes the URL of a domain from http to https, and ensure the secure transmission of data. Any website that does not have SSL enabled will be penalized. While there are some exceptions to this rule, ecommerce and financial websites will be most heavily impacted.
Low cost webhosts charge an annual fee for SSL implementation, meanwhile good webhosts such as Siteground issue SSL certificates for free and automatically integrate them.
Another important element on the website is the Meta Title and Meta description. These content fields have an outsized order of importance that may contribute as much to the success or failure of a page as the entire content of that page.
This is because Google has a high probability of selecting the Meta Title and Meta description to showcase in the search results.  And this is why it is important to fill out the meta title and meta description field as carefully as possible.
The alternative is Google may choose to ignore the meta title and meta description to instead auto-generate data that it predicts will result in more clicks. If Google predicts poorly what title to auto-generate, this will contribute to less click-throughs by searchers and consequently this contributes to lost search engine rankings.
If Google believes the included meta description is optimized to receive clicks it will showcase it in the search results. Failing this Google grabs a random chunk of text from the website. Often Google selects the best text on the page, the problem is this is the lottery system and Google is consistently bad at choosing what description to select.
Of course if you believe the content on your page is really good, sometimes it makes sense to allow Google to pick the optimized meta description that best matches the user query. We will opt for no meta description for this article as it is content rich, and Google is likely to select a good description.
In the meantime, billions of humans are clicking on the best search results – This is the human-in-the-loop, Google’s last feedback mechanism – And this is where reinforcement learning kicks in.
Reinforcement learning is a machine learning technique that involves training an AI agent through the repetition of actions and associated rewards. A reinforcement learning agent experiments in an environment, taking actions and being rewarded when the correct actions are taken. Over time, the agent learns to take the actions that will maximize its reward.
The reward could be based on a simple computation that calculates the amount of time spent on a recommended page.
If you combine this methodology with a Human-in-the-loop sub-routine this would sound awfully a lot like existing recommender engines that control all aspects of our digital lives such as YouTube, Netflix, Amazon Prime – And if it sounds like how a search engine should operate you are correct.
The Google flywheel improves with each search, humans train the AI by selecting the best result that best answers their query, and the similar query of millions of other users.
The reinforcing learning agent continuously works on self-improving by reinforcing only the most positive interactions between search and delivered search result.
Google measures the amount of time it takes for a user to scan the results page, the URL they click on, and they measure the amount of time spent on the visited website, and they register the return click. This data is then compiled and compared for every website that offers a similar data match, or user experience.
A website with a low retention rate (time spent on site), is then fed by the reinforcement learning system a negative value, and other competing websites are tested to improve the offered rankings. Google is unbiased, assuming there’s no manual intervention, Google eventually provides the desired search results page.
Users are the human-in-the-loop providing Google with free data and become the final component of the deep reinforcement learning system. In exchange for this service, Google offers the end user an opportunity to click on an ad.
The ads outside of generating revenue serve as a secondary ranking factor, floating more data about what makes a user want to click.
Google essentially learns what a user wants. This can be loosely compared to a recommender engine by a video streaming service. In that case a recommender engine would feed a user content that is targeted towards their interests. For example, a user who habitually enjoys a stream of romantic comedies might enjoy some parodies if they share the same comedians.
If we continue with computational thinking we can assume that Google has trained itself to deliver the best results, and this is often achieved by generalizing and satisfying human biases. It would in fact be impossible for Google’s AI to not optimize results that cater to these biases, if it did the results would be sub-optimal.
In other words there is no magic formula, but there are some best practices.
It is the responsibility of the SEO practitioner to recognize the biases that Google seeks that are specific to their industry – And to feed into those biases. For example, someone searching for election poll results without specifying a date, are most likely searching for the most recent results – this is a recency bias. Someone searching for a recipe, most likely does not need the most recent page, and may in fact prefer a recipe that has withstood the test of time.
It is the responsibility of the SEO practitioner to offer visitors the results they are looking for. This is the most sustainable way of ranking in Google.
Website owners must abandon targeting a specific keyword with the expectation that they can deliver whatever they want to the end user. The search result must precisely match the need of the user.
What is a bias?  It could be having a domain name that looks high authority, in other words does the domain name match the market you are serving? Having a domain name with the word India in it may discourage USA users from clicking on the URL, due to a nationalism bias of trusting results that originate from a user’s country of residence. Having a one word domain may also give the illusion of authority.
The most important bias is what does a user want to match their search query? Is it an FAQ, a top 10 list, a blog post? This needs to be answered, and the answer is easy to find. You just need to analyze the competition by performing a Google search in your target market.
Compare this to Black Hat SEO, an aggressive method of ranking websites that exploits devious SPAM techniques, including buying backlinks, falsifying backlinks, hacking websites, auto generating social bookmarks at scale, and other dark methodologies that are applied via a network of black hat tools.
Tools that are often repurposed and resold on various search engine marketing forums, products with next to no value and few odds of succeeding. At the moment these tools enable the sellers to become wealthy while they offer minimal value to the end user.
This is why I recommend abandoning Black Hat. Focus your SEO on viewing it from the lens of machine learning. It’s important to understand that every time someone skips a search result to click on a result buried underneath, it’s the human-in-the-loop collaborating with the deep reinforcement learning system. The human is assisting the AI with self-improving, becoming infinitely better as time progresses.
This is a machine learning algorithm that has been trained by more users than any other system in human history.
Google handles 3.8 million searches per minute on average across the globe. That comes out to 228 million searches per hour, 5.6 billion searches per day. That is a lot of data, and this is why it is foolish to attempt black hat SEO. Assuming Google’s AI is going to remain stagnant is foolish, the system is using the Law of Accelerating Returns to exponentially self-improve.
Google’s AI is becoming so powerful that it is conceivable that it could eventually become the first AI to reach Artificial General Intelligence (AGI). An AGI is an intelligence that is able to use transfer learning to master one field to then apply that learned intelligence across multiple domains. While it may be interesting to explore Google’s future AGI efforts, it should be understood that once the process is in motion it is difficult to stop. This is of course speculating towards the future as Google is currently a type of narrow AI, but that is a topic for another article.
Knowing this spending one second more on black hat is a fool’s errand.
If we accept that Google’s AI will continuously self-improve, then we have no choice but to give up on attempting to outsmart Google. Instead, focus on optimizing a website to optimally provide Google specifically what it is looking for.
As described this involves enabling SSL, optimizing page loading speed, and to optimize the Meta Title and Meta Description. To optimize these fields, the Meta Title and Meta Description must be compared to competing websites – Identify the winning elements that result in a high click through rate.
If you optimized being clicked on, the next milestone is creating the best landing page. The goal is a landing page that optimizes user value so much that the average time spent on page outperforms similar competitors who are vying for the top search engine results.
Only by offering the best user experience can a webpage increase in ranking.
So far we have identified these metrics to be the most important:
The landing page is the most difficult element as you are competing against the world. The landing page must load quickly, and must serve everything that is expected, and then surprise the user with more.
It would be easy to fill another 2000 words describing other AI technologies that Google uses, as well as to dig deep further into the rabbit hole of SEO. The intention here is to refocus attention on the most important metrics.
SEO partitioners are so focused on gaming the system that they forget that at the end of the day, the most important element of SEO is giving users as much value as possible.
One way to achieve this is by never allowing important content to grow stale. If in a month I think of an important contribution, it will be added to this article. Google can then identify how fresh the content is, matched with the history of the page delivering value.
If you are still worried about acquiring backlinks, the solution is simple. Respect your visitors time and give them value. The backlinks will come naturally, as users will find value in sharing your content.
The question then shifts to the website owner on how to provide the best user value and user experience.
10 Best AI SEO Tools (July 2025)
Antoine is a visionary leader and founding partner of Unite.AI, driven by an unwavering passion for shaping and promoting the future of AI and robotics. A serial entrepreneur, he believes that AI will be as disruptive to society as electricity, and is often caught raving about the potential of disruptive technologies and AGI.
As a futurist, he is dedicated to exploring how these innovations will shape our world. In addition, he is the founder of Securities.io, a platform focused on investing in cutting-edge technologies that are redefining the future and reshaping entire sectors.
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Advertiser Disclosure: Unite.AI is committed to rigorous editorial standards to provide our readers with accurate information and news. We may receive compensation when you click on links to products we reviewed.
Copyright © 2025 Unite.AI

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Adapting SEO Strategies: Insights from Different Industries – Grit Daily News

Navigating the ever-evolving landscape of search engine optimization requires a keen understanding of industry-specific strategies. This article distills the wisdom of seasoned SEO experts across various niches, providing actionable guidance for businesses looking to sharpen their online edge. Discover tailored approaches to enhance visibility and drive success in the digital realm.
I worked with an aesthetic clinic to enhance its online presence and attract quality leads. SEO in this sector faces challenges like fierce competition, strict advertising regulations, and the need to establish credibility while executing an engaging marketing strategy.
It was challenging to compete with top aesthetic providers and clinics. Additionally, Google and social media impose strict medical ad policies, limiting advertising options. Search intent also presented difficulties, as potential clients were typically researching treatments. Thus, we prioritized informative content over mere promotions.
We adopted a content-driven SEO strategy with local optimization. We optimized service pages with structured content targeting high-intent keywords like, “best skin booster treatment in [city]” and, “HIFU vs. Ultherapy: Which is better?” instead of broad terms like “aesthetic clinic.” We also developed a blog strategy to answer common client queries, such as, “How long does Botox last?” and, “What to expect after laser treatment?” This helped us rank for informational queries and establish the clinic as a trusted authority.
Local SEO was a primary focus. We enhanced the clinic’s Google Business Profile, incorporated structured data, and prompted comprehensive client reviews to improve local search credibility and rankings. We partnered with beauty bloggers and influencers to secure high-quality backlinks, organically increasing the clinic’s domain authority.
The results? A 2.5X increase in organic leads, better rankings for high-intent treatment keywords, and enhanced appointment bookings—without violating advertising policies. This case reinforced the significance of tailoring SEO strategies to industry-specific challenges while maintaining search intent and trust-building at the core.
Kevin DamKevin Dam
Founder and CEO, Aemorph
One instance that really stands out is when I worked with a B2B site in the industrial manufacturing space. Not exactly the flashiest industry but that’s what made it tough. The audience wasn’t huge, search volume for core products was almost nonexistent, and the buyers weren’t scrolling through social media or reading casual blog posts. It was a completely different landscape and it was way more technical and specific.
The usual SEO playbook wasn’t going to work. Writing generic blog content or chasing high volume keywords like “industrial equipment” was a waste of time because the people searching for those terms weren’t the actual decision makers. So we pivoted.
First, we zeroed in on long tail keywords, the kind of terms their buyers were actually typing into Google. Instead of something broad like “conveyor systems” we went after “custom stainless steel conveyor systems for food processing” or “FDA compliant conveyor belts.” These were low volume searches but the intent behind them was crystal clear. People searching those terms weren’t window shopping, they were halfway down the sales funnel already.
Then we completely reworked the site’s content strategy. We stopped thinking about traffic and started thinking about decision making. What did their buyers need to make a purchase? It wasn’t fluff articles, it was technical resources. So we built out detailed product pages with spec sheets, CAD drawings, use cases, and side by side comparisons of their products versus competitors. Every page became a tool for the sales team to use, not just something to rank on Google.
We also focused on earning backlinks from industry specific directories, trade associations, and technical forums, places their buyers actually trusted. It wasn’t about racking up as many links as possible, but getting the right ones.
The result? We didn’t see a massive traffic spike and that was fine. What we saw was a steady stream of highly qualified leads. In the first six months, quote requests through the site went up by over 60 percent and the sales team actually started using the website as a selling tool because the content spoke directly to their audience.
The biggest takeaway? SEO isn’t always about driving more traffic. It’s often about driving the right traffic, which is the people who are ready to take action. Sometimes that means throwing out the best practices and getting laser focused on what actually moves the needle for the business or client specifically.
John WieberJohn Wieber
Managing Partner & Founder, Web Moves
One instance where I had to adapt my SEO strategy was for a client in the luxury real estate industry. The unique challenges included high competition, long sales cycles, and a niche target audience looking for exclusive, high-end properties.
Challenges:
Solutions & Adaptations:
Results:
Manoj SharmaManoj Sharma
SEO Executive, Hicentrik
I once worked on an SEO campaign for a niche client, a high-end bespoke shoemaker. Unlike mainstream industries where high search volume keywords are abundant, this niche had a tiny, hyper-targeted audience. Our biggest challenge was balancing exclusivity with visibility, as the client wanted to avoid appearing “too commercial” while still attracting the right customers.
We had to rethink the typical SEO playbook. Instead of chasing high-volume keywords like “luxury shoes,” we focused on long-tail queries that reflected intent, such as “handmade leather Oxfords in New York” or “custom brogues for weddings.” These keywords aligned with their clientele’s needs.
Content strategy was another hurdle. Traditional blogs didn’t feel right for a brand rooted in craftsmanship, so we created a “Crafting Stories” section on their website. It showcased behind-the-scenes articles, such as “How a Pair of Bespoke Shoes is Made,” complete with images and videos of the shoemaking process. This not only built trust but also highlighted the artistry that justified the premium price tag.
To overcome visibility challenges, we leaned on local SEO. We optimized their Google Business Profile, added structured data for “luxury shoemakers,” and earned backlinks from fashion magazines and high-profile blogs. The result? A 50% increase in organic traffic within eight months, with a noticeable rise in in-store appointments.
The key takeaway was this: every niche demands its own tailored SEO approach. In this case, focusing on authenticity, storytelling, and intent-based targeting made all the difference.
Martynas SiuraitisMartynas Siuraitis
SEO Consultant, The SEO Consultant Agency
One instance where I had to adapt my SEO strategy was while optimizing an e-commerce website in the jewelry niche. Unlike traditional SEO, this industry required a focus on visual appeal, trust signals, and high-intent keywords. The main challenge was balancing aesthetics with SEO best practices—product pages needed compelling descriptions without compromising the luxury brand’s minimalistic design. Additionally, competition was fierce, with big brands dominating search results.
To overcome this, I focused on long-tail keywords and local SEO, targeting niche audiences searching for specific jewelry types. I also implemented structured data for rich snippets, boosting click-through rates with star ratings and price visibility. High-quality blog content around jewelry care, styling tips, and trends helped attract organic traffic. Lastly, I built backlinks from fashion and lifestyle blogs to establish credibility. This strategy not only improved rankings but also enhanced the brand’s online presence and conversions.
Usman Ul HaqUsman Ul Haq
Senior SEO Strategist, WPExperts
We worked with a sustainable fashion brand that focused on eco-friendly fabrics, ethical production, and circular fashion. Unlike mainstream fashion, this industry has a highly conscious consumer base that values transparency, ethical sourcing, and environmental impact. Traditional fashion SEO strategies, which often prioritize trend-based keywords and fast-moving inventory, didn’t align with this audience’s expectations.
Unique Challenges:
How We Overcame These Challenges:
Within six months, we increased organic traffic by 70%, improved conversion rates by 25%, and helped the brand rank on page one for multiple high-intent eco-fashion terms. More importantly, this strategy built long-term brand trust and authority, leading to higher engagement and repeat customers.
Farrukh AliFarrukh Ali
Senior SEO Specialist, Techvando
One of our most intriguing projects involved an exotic pet care client specializing in dubia roaches for reptile enthusiasts. They faced a major challenge despite a passionate niche audience; their content barely surfaced in AI Overviews, leaving them invisible to reptile enthusiasts. To change that, we developed a structured content strategy optimized for AI parsing, search intent, and engagement.
The result? A 181.3% surge in organic reach from AI Overviews, driving more reptile enthusiasts to our client’s site without paid ads. This strategy directly targeted user intent, boosted AI Overview rankings, and established the client as a trusted resource. This proves that in hyper-niche markets, SEO success isn’t just about ranking; it’s about becoming the go-to resource AI trusts.
Gursharan SinghGursharan Singh
Co-Founder, WebSpero Solutions
We had a client, a financial portal focused on cryptocurrencies that wanted to expand its visibility. The crypto finance space presented some unique SEO challenges we hadn’t fully tackled before.
The main issue was that crypto terminology changes super fast. Terms that are hot today might be irrelevant tomorrow. Plus, Google’s algorithms were particularly strict with finance sites due to the YMYL (Your Money Your Life) classification—they scrutinize these sites more heavily because bad financial advice can harm people.
What worked for us was creating a dual content strategy. We built in-depth, technical content for the crypto experts while simultaneously developing beginner-friendly guides that explained complex concepts. This helped cover both high-volume basic search terms and low-volume technical queries.
We also found that traditional keyword research tools weren’t capturing the emerging crypto terms, so we started monitoring Reddit, Discord, and Telegram groups to spot new terminology before it hit mainstream search tools.
Another big challenge was building authority in a space where many sites were new and traditional backlink strategies weren’t as effective. We focused on getting quotes and mentions from established financial sites rather than just crypto blogs.
The results were pretty impressive: within about 6 months, organic traffic grew by 340%, and their conversion rate for newsletter signups doubled. The key lesson was that sometimes you need to ditch standard SEO practices and adapt to the unique ecosystem of a specific industry.
Ihor ShulezhkoIhor Shulezhko
CEO, Rankup (dot) ua
My example comes from SEO for the Software Development niche, where I have specialized for over nine years.
One of the biggest challenges in this industry is that the same service can be searched for by very different types of businesses—startups, mid-sized companies, and large enterprises. Each has its own priorities, budgets, and decision-making processes, which makes it difficult to optimize a single page without losing relevance for part of the audience.
AI development is a perfect example—it’s everywhere right now, one of the hottest topics in tech. Startups typically focus on building an MVP quickly and cost-effectively, while enterprises prioritize scalability, regulatory compliance, data analytics, and deep integration with existing systems. The challenge is that if a page is too narrowly targeted—let’s say AI development for startups—it may struggle to rank for broad, high-volume searches like “AI Software Development Services.” On top of that, users don’t always categorize themselves so explicitly. Whether they’re running a startup or leading an enterprise initiative, they usually search in the same way—just looking for AI development services without specifying their business type.
To solve this, we structure a single page in a way that speaks to multiple audiences without diluting its ranking potential. We add dedicated sections addressing different needs and tailor CTAs to match their expectations. For startups, this could be an invitation to explore a free AI workshop, while enterprises might see a prompt to schedule a strategy session. When there’s enough demand for a niche segment, we create additional service pages—keeping the main one optimized for broader searches while targeting industry-specific queries separately.
This approach allows us to maintain strong rankings for competitive keywords while ensuring that businesses of all sizes find relevant, compelling content. The result is higher engagement and better conversion rates, without sacrificing visibility in search.
Ulad YanouskiUlad Yanouski
SEO Team Lead, Vention
One instance where I had to adapt my SEO strategy was for a client in the highly competitive legal services niche. The challenge was twofold: the legal industry is notorious for having intense competition for keywords, and the client was in a specific practice area with a more localized audience.
Unique Challenges:
How I Overcame These Challenges:
Ultimately, the localized strategy, combined with a strong content focus, helped significantly improve the client’s rankings in their specific market, even in such a competitive niche.
Kristy GaleaKristy Galea
Director of Sales, Cadence SEO
From my experience, the Higher Education industry presents unique challenges when curating bespoke SEO strategies, primarily due to the highly competitive landscape but also because of the complexity of user intent.
Universities often compete for high-intent keywords like “best postgraduate courses in [subject]” while also needing to rank for long-tail, informational queries such as “what can I do with a master’s in [subject].”
Another challenge we’ve found from working with many higher education institutes is the lengthy conversion journey for prospective students, who frequently visit multiple touchpoints before reaching the point of conversion (applying for a course). Balancing these competing priorities, while maintaining a consistent and authoritative online presence, requires a highly tailored approach.
For a university client aiming to boost postgraduate enrollments, we developed a bespoke strategy considerate of those specific challenges. First, we conducted detailed analysis to map the typical student journey and identify key touchpoints throughout the conversion journey. This revealed gaps in competitor content around specific pain points, such as career outcomes, application processes, and funding options.
We created optimized, in-depth course pages targeting competitive high-intent keywords, ensuring they were detailed enough to rank and provide value to the user. Complementing this, we launched a content hub featuring more unique styles of content such as alumni success stories, guides on funding and career prospects, all designed to capture informational queries and build trust.
A critical part of our bespoke strategy was the implementation of structured data to display essential information such as course length, fees, and application deadlines directly on the SERP. While structured data may not always be a priority for all industries, our experience with working with high-education institutions highlighted that it can often provide added value to the Search Engines as well as users.
Within six months, the strategy achieved a 53% increase in organic traffic to the postgraduate section, significantly improved keyword rankings, and boosted inquiry conversion rates by 25%. By focusing on the unique challenges of the Higher Education sector, we delivered an effective, sustainable strategy tailored to the client’s needs.
Elliot StanionElliot Stanion
Deputy Head of SEO, The SEO Works
One instance where I had to adapt my SEO strategy was when working with a healthcare real estate development company. Unlike traditional real estate, this niche had unique challenges–strict regulatory guidelines, a highly specific target audience (medical professionals and investors), and limited keyword search volume compared to mainstream real estate.
To overcome these challenges, I took a multi-faceted approach:
The result? Higher organic visibility, increased qualified leads, and stronger industry authority. This experience reinforced the importance of tailoring SEO strategies based on industry-specific constraints while leveraging niche opportunities for growth.
Kashish BattaKashish Batta
Digital Marketing & SEO Specialist | Link Building | Content Strategy | Growth Marketing, Digital4design
When managing SEO for a high-end custom jewelry brand, it was clear that standard tactics wouldn’t be effective. These clients prioritized exclusivity, craftsmanship, and trust over price, making competition with established luxury brands intense. The long sales cycle also meant success relied on building brand authority rather than driving quick conversions.
Instead of broad, high-volume keywords, the focus shifted to intent-driven searches like “handcrafted sapphire engagement rings USA.” Storytelling became a key strategy, with in-depth content on the jewelry-making process, rare gemstones, and real customer experiences. This positioned the brand as a trusted leader rather than just another retailer.
To reach the right audience, I secured backlinks from respected luxury and fashion publications, reinforcing credibility. Structured data boosted visibility with rich snippets and image carousels. UX improvements—faster load times, seamless mobile experience, and high-quality imagery—kept potential buyers engaged. The result was a significant increase in organic traffic, stronger brand authority, and more high-value leads.
By treating SEO as an extension of the brand’s luxury appeal rather than just a ranking strategy, we built long-term visibility in a highly competitive market.
Shankar SubbaShankar Subba
Head of SEO, WP Creative
One example was working with a healthcare client whose site had to meet strict HIPAA regulations. In addition to the usual technical SEO, we had to ensure every form, tracking pixel, and stored user data element was compliant.
Unique Challenges:
How We Overcame Them:
Mitch CornellMitch Cornell
Founder/CEO, Webmasons Marketing
I once worked with a client in the modular housing industry and quickly realized their SEO strategy needed a different approach. Unlike traditional real estate, modular housing had a smaller, more specific audience, and the search volume for key terms was low. Plus, there wasn’t much-structured content in this space.
To tackle this, I focused on two key things:
Within six months, the site’s organic traffic grew by 57%, and more importantly, the client saw a significant rise in high-converting leads. This experience showed me how important it is to tailor SEO strategies based on user intent, especially in niche industries.
Ali KhanAli Khan
SEO Strategist, B2B Labs
I recently worked with a client offering non-medical in-home care services. The client faced rapid growth, expanding from 3 locations to 33. This growth presented unique SEO challenges, especially with a broadening service list and varying regional needs. Here’s how I adapted the SEO strategy to address these challenges.
Challenges:
Results:
Riya RaniRiya Rani
SEO Analyst, Versatile Commerce
I must say it is the effective use of Google Search Console. We have a client regarding Florida Air Boat Tours. The challenge is that they have very well-organized service pages but do not use a blog section.
When we look into their search console, we notice that the majority of the search terms driving the traffic are not strategically used in their content. Many people are searching for alligators.
What did we do?
We specifically created a blog section dedicated to alligators and addressed diverse topics related to them. We published 3000-word blogs twice a month covering alligator issues.
Results?
Within a month, we saw a 60% increase in organic traffic from our blog section and 15% more bookings. It is a no-brainer that we continue the strategy and get good results month after month.
John RobinsJohn Robins
Managing Partner and Growth-Marketing Consultant, Great Impressions
The fundamentals should not change in terms of how you approach a specific niche, but if you don’t adapt when needed, you can completely ruin your results.
Although all of the basics still count, you need to understand your niche and your target audience. We were doing really well with multiple online casino brands serving multiple countries.
Our branding was working, people were playing regularly and the players loved us! Then, we decided to expand into Japan, which was an exciting move.
The site and software were set up, and we did high-quality work on the content and link building. Traffic started increasing but conversions were non-existent.
The reason for this is that we weren’t thinking about it from the view of Japanese players. We were only looking at our previous success stories and duplicating what worked in the past.
The two main issues were the colors and specific numbers used on the site, which had very negative cultural connections for the Japanese people.
We realized our mistake, eventually, and once we changed those two factors, it turned into a significant success.
The simple lesson learned: think about your audience’s needs first and then work it back to your approach to SEO.
Thys Du PlooyThys Du Plooy
CEO, Thickrope Marketing
I once worked on SEO for a chiropractic clinic, and the challenge was local competition. Every chiropractor in town wanted to rank for “chiropractor near me.” Generic SEO tactics weren’t enough.
To stand out, I prioritized Google Business Profile (GBP) optimization. Many competitors had incomplete or inconsistent listings, so we made sure our client’s GBP was fully optimized with accurate NAP info, geo-tagged images, and weekly updates. We also encouraged patient reviews, which helped boost local trust signals.
Cyrille ADJALALACyrille ADJALALA
SEO Specialist & Head of Marketing, Cycylab

Greg Grzesiak is an Entrepreneur-In-Residence and Columnist at Grit Daily. As CEO of Grzesiak Growth LLC, Greg dedicates his time to helping CEOs influencers and entrepreneurs make the appearances that will grow their following in their reach globally. Over the years he has built strong partnerships with high profile educators and influencers in Youtube and traditional finance space. Greg is a University of Florida graduate with years of experience in marketing and journalism.
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