Zero-click searches have been around for years. 

Ever since Google introduced SERP features like featured snippets, knowledge panels, and map packs, people have relied less and less on organic results and focused more on what Google shows them upfront.

For the first time, zero-click searches surpassed organic clicks in 2019, with 55% of all searches ending without a click.

But zero-click searches are making a massive comeback in 2025. We might just see an all-time low in organic clicks as generative AI and LLMs take off.

When zero-click searches take over, will SEO even be necessary? Let’s discover the answer here.

What is Zero-Click Search?

A zero-click search happens when a user searches for something on Google (or another search engine) but doesn’t click on any of the results. 

Instead, they get the answer they need directly on the search results page. In the past, this primarily referred to SERP features like featured snippets, definitions, weather boxes,  knowledge panels, or local packs. 

Since 2024, Google has upgraded its search interface to include an AI-generated summary for queries, which includes links to pages used as references.

Think of it like asking a question and getting an instant reply without needing to dig deeper. While it’s convenient for users, it’s a challenge for websites that rely on clicks for traffic, leads, or sales. 

What are the Sources of Zero-Click Searches?

In 2025, zero-click searches extend beyond traditional search engines, such as Google or Bing. Any platform that satisfies an inquiry without users having to click through websites and read their content can be considered a source of zero-click searches.

Here we’ll look at the most popular alternative solutions where users get answers without clicking any organic search results:

1. AI Overviews

AI Overviews are AI-generated summaries that appear at the top of Google’s search results, giving users a quick, synthesized answer to their query. 

It is Google’s second iteration at integrating generative AI capabilities into the SERPs (the first was Search Generative Experience).

This feature uses generative AI to specifically and comprehensively address a user’s inquiry in a conversational and easy-to-read format. To incentivize content creators, Google also added links to the sources they used to generate the summary.

Here is AI Overviews in action:

2. ChatGPT

You could say ChatGPT started all this generative AI craze. It is an AI chatbot that lets users ask questions and get direct, conversational answers without using a traditional search engine.

ChatGPT is not a search engine, at least not in the traditional sense. But many users already use the tool for finding information. And that makes this AI chatbot a purveyor of zero-click searches.

In the past, ChatGPT relied primarily on its massive training data for coming up with answers. It’s recently been updated to have search functionality, allowing it to access data from the open web and retrieve real-time information.

3. Gemini

Gemini is Google’s AI chatbot response to Microsoft’s ChatGPT, which means it pretty much does the same thing: you key in a prompt, and it generates content. 

The only difference is that Gemini has access to the breadth of the knowledge found in Google’s index. In theory, this makes its content more refined than other AI chatbots, but its prose is a little weaker than ChatGPT’s.

Given that Gemini gives all the answers to a prompt, it is also a major contributor to zero-click searches and reduced website traffic.

4. Perplexity AI

Perplexity AI is a conversational search engine that answers questions using real-time web data. 

Unlike ChatGPT, Perplexity goes big on featuring sources in its generated content, giving users a sense of security that the tool isn’t making up the information.

While it encourages zero-click behavior, the dedicated Sources tab lets users click through any of the listed resource pages, resulting in website traffic.

5. AI Mode

As of writing, AI Mode is Google’s latest and greatest brainchild, which aims to fully replace the known SERP features (like the AI Overviews, local pack, and organic blue links) with an AI-generated summary. 

AI Mode still hasn’t rolled out globally, so only the Indian and North American markets can enjoy this new feature. 

But from what we’ve heard, this will likely radically change how search works, giving searchers answers to their questions directly and completely removing the burden of clicking through organic blue links. 

Why are Zero-Click Searches Rising in Popularity?

Zero-click searches are great if you’re just a user looking for answers. Here are some specific reasons why zero-click behavior is on the rise in search:

AI summaries deliver instant answers

To be perfectly blunt, AI summaries spoon-feed everything users need to know. It delivers instant answers by pulling key insights from multiple sources and presenting them right on the results page.

In that case, no more scrolling, endless reading, and clicking. All the information is handed to you in seconds, making it convenient and addictive.

Conversational search replaces traditional clicks

What makes LLMs stand out against traditional search engines is that they present what you need in a conversational manner. That means no more reading through blocks of unnecessary text only to extract a few essential sentences or insights.

Plus, if you have any follow-up questions, you can simply build on the previous content to receive real-time answers. Basically, generative AI tools are like your personal smart assistant that does the heavy lifting on your behalf. 

Faster user experience is prioritized

According to the New York Post, the attention span of a person on a single screen has dropped from 2.5 minutes in 2004 to 47 seconds in 2025. Soon enough, as we digest more information and get sucked into the grind, it will only get worse.

Given that statistic, it stands to reason that people want information quickly. To address this need for a faster user experience, LLMs surface quick answers. This saves time, making traditional website visits feel like an unnecessary extra step.

5 Reasons Why Zero-Click Searches Are a Threat to Online Visibility?

While zero-click searches are advantageous for users, they might not be as forgiving of websites trying to swim their way out of online obscurity. 

After all, ranking #1 for organic search is already challenging in itself. Imagine how difficult it will be to optimize content for LLMs, knowing we have zero clue about these tools’ AI citation algorithms.

Zero-click searches stemming from generative AI tools pose a threat to the position of traditional search engines as the sole source of information. By extension, this puts websites engaged in SEO (both large and small) in a predicament, especially when it comes to search visibility.

Here are 5 specific reasons why zero-click behavior is a threat to online visibility:

1. Declining organic traffic

As the name suggests, zero-click searches directly result in fewer, if not absolutely no, clicks on organic search results. This leads to fewer organic traffic coming into websites.

This decline stems from the fundamental difference between traditional search engines and modern LLMs. Users get instant answers from tools like AI Overviews, ChatGPT, Gemini, or Perplexity, meaning they feel no need to investigate further and click the original source.

This means even if your page ranks high, it might still see fewer visits. In other words, your content works behind the scenes, but the traffic never reaches your site.

2. Harder to Measure ROI

Analytics is a core pillar of any marketing campaign.

Knowing what works and what doesn’t gives you the essential insights you need to recalibrate your campaign to perfection. 

This distinction directly influences how much revenue you can make throughout the period.

That used to be the case with SEO.

However, measuring analytics and ROI has become extra difficult in 2025 because traditional metrics lose meaning, including:

• Clickthrough rate
• Page views
• Bounce rate
• Keyword rankings
• Domain authority

Your content may power an AI summary or influence a response, but you won’t always see that impact in your analytics unless users click the source page for that information. Unfortunately, not all LLMs are generous in including references.

This creates a blind spot for marketers and businesses trying to justify their SEO investment. When traffic doesn’t land on your site, proving value and calculating returns becomes murky.

3. Lower website conversions

Piggybacking off #2, lower website conversions are a growing concern in the age of zero-click searches.

If users fixate on the quick answers from the AI summary without bothering to visit your content, the conversion will plummet along with the decline in traffic. That means limited desired action taking place on your site, such as signing up, downloading, or making a purchase.

While Google and Bing allegedly claim that website traffic coming from LLMs is more engaged, of higher quality, and warmer than traditional organic traffic, Dan Taylor’s LLM vs organic traffic study challenges this.

The only sectors where LLM traffic’s key event conversion rate exceeds organic conversion rates are: 

• Careers
• Catalog websites
• Health
• Publishing
• Real estate and property

Meanwhile, the rest of the sectors lean toward organic traffic’s superiority in conversion rates. 

Here is a table summarizing the comparison:

Unfortunately, since we are transitioning to a zero-click-search-dominated industry, site owners and marketers are forced to divide their attention, optimizing both for LLMs and search engines.

4. Limited knowledge about LLM algorithms

It took SEOs decades before they managed to uncover the strategies and decipher Google’s major search ranking factors (although Google listed some best practices on their site). 

Since LLM technology is relatively new, knowing the quirks and algorithms of each generative AI tool might take a while.

Until then, most marketers will be left in the dark when it comes to optimizing for zero-click platforms. Unlike traditional SEO, where ranking factors are clearer and trackable, LLMs work behind many closed doors. 

This lack of transparency makes optimization feel like guesswork—tedious, experimental, and often expensive.

Without many large-scale studies available, marketers struggle to understand how their content is being used or prioritized by AI tools. 

As a result, the time and budget spent on content deliver little to no visibility or measurable return to websites.

5. Less incentive for content creators

If you’re an SEO copywriter or content manager, your goal is to boost a site’s visibility by increasing the organic ranking of its pages. That’s why you’re paid. 

High-ranking content equals traffic, which, if highly persuasive, can convert readers into buyers. 

But with LLM-based search engines that give answers upfront, fewer users visit the source. Add to the fact that LLMs citations do not always base on organic rankings, meaning even top pages might go unnoticed.

This can discourage creators, devalue their work, and even cost jobs. Worse, entire websites shift away from SEO-driven content altogether and redirect efforts to channels like email or social media, where visibility and ROI feel more within reach.

Data-driven Strategies to Combat the Zero-Click Threat?

At the end of the day, zero-click searches are double-edged swords: great for users, not so much for site owners, content creators, and SEOs (at least for now).

Given everything we know about this new era of search, how can content creators combat the threat posed by LLMs? 

Simple. We don’t combat it. We adapt. By showing up on LLM citations, you exponentially increase your chance of driving traffic from non-organic sources, which is still good, all things considered.

Several small-scale data-focused strategies have emerged in recent weeks, showing a list of ways to overcome zero-click searches by optimizing websites for LLMs. 

Here are a few:

• Free robots.txt and metadata from commands blocking LLM bots
• Phrase your content conversationally, as humans would phrase AI prompts
• Make your content comprehensive, adding more value and covering more concepts
• Improve readability, specifically its Flesch-Kincaid score
• Boost your positive brand mentions across the open internet 
• Build more backlinks from reputable sites
• Focus on increasing your domain authority or domain rating

Zero-click searches may feel like a threat now, but they also open new doors, especially if you start optimizing for AI citations and find ways to drive high-value traffic from LLMs. 

SEO is far from irrelevant, but it’s evolving fast. Relying solely on blue links is no longer enough. LLMs represent uncharted territory, and no website has truly mastered them yet.

The sooner you adapt your strategy for AI-driven search, the better your chances of staying visible. Otherwise, if you don’t, you might actually end up with zero clicks from both LLMs and traditional search.

The way people search is changing, and it’s happening fast. With the rise of generative AI tools, such as ChatGPT, Gemini, and Perplexity, along with the reimagining of SERPs thanks to AI Overviews, more users are skipping traditional “blue link” Google search altogether.

In fact, statistics show that 52% of Gen Z are already using AI to make informed decisions. Whether it’s for product research, recommendations, or everyday questions doesn’t matter. 

The point is this trend isn’t slowing down.

As users turn to LLMs for search, sticking to traditional SEO won’t cut it anymore. This shift calls for a new kind of optimization.

Enter: Large Language Model Optimization (LLMO).

To stay competitive, brands need to ensure their content is not just discoverable by search engines but also understandable, quotable, and usable by AI models. 

In this article, we’ll break down exactly how you can optimize your website for this new frontier in digital visibility.

What are LLMs, again?

LLMs, short for Large Language Models, are a subcategory of generative AI that’s trained to understand and generate human-like language. 

Depending on which tool you’re using, they can have advanced or basic underlying mechanisms that enable them to answer questions, summarize information, and even write full articles. 

LLMs can be further subdivided into two major categories:

A. Retrieval Augmented Generation or RAG

RAGs are LLMs with access to external sources. When you ask a question, they retrieve real-time information from the web or internal databases and then generate a response based on that fresh data.

This makes them highly accurate and current, perfect for fact-based or up-to-date queries. Gemini and AI Overviews fall under this category.

Here’s Gemini when asked who won between the Indiana Fever and the Golden State Valkyries on July 10:

P.S. The matchup happened on July 9, yet Gemini did not bother to correct my wrong question.

B. Self-contained LLMs

In contrast, self-contained LLMs rely solely on the data they were trained on, without fetching new info. Their responses originate from patterns they have already learned, which means they may be less current but still excellent for general knowledge, writing, or problem-solving.

ChatGPT (for a time) and Claude fall under this category. For instance, as of writing, Claude has a knowledge cutoff date of April 2024. 

Meanwhile, ChatGPT (GPT is short for “Generative Pre-trained Transformer”) now has features enabling it to connect to web browsing, even on the free version.

Here is ChatGPT when asked the same question as above:

ChatGPT did a more impressive job by correcting my incorrect date and adding references in their content, even including a highlight reel for good measure.

What is LLMO?

In the words of Bernard Huang, founder of Clearscope: 

“LLMs are the first realistic search alternative to Google.”

While Google dominated the search space for a long time, a fraction of the number is now turning to LLMs and generative AI. 

Sure, the number is dismal compared to the total population of Google users. But the active user base will only keep getting bigger and bigger, considering LLMs are now equipped with web search functionality, albeit not as refined as Google’s pristine index.

This brings us to LLMO or Large Language Model Optimization.

LLMO is a new approach to making your content more accessible and useful to generative AI tools, specifically those equipped with RAG, like ChatGPT, Gemini, and Perplexity.

Unlike traditional SEO, which focuses on ranking in search engine results pages, LLMO is about optimizing content so it is featured and cited by AI assistants for relevant prompts.

Search engines like Google and Bing have their very own algorithms that allow them to rank pages based on a plethora of factors. LLMs also have the same.

Thanks to recent findings, we get a sneak peek into some of the most important qualities that major LLMs look for when citing pages. And we’ll discuss them later.

Why is LLMO Important in 2025: 3 Reasons

As AI transitions to becoming an alternative way people find answers online, the rules of search are changing. Ranking #1 in Google isn’t the only goal anymore. Being understood by AI models is just as crucial for driving traffic and visibility to your website. 

Here are three specific reasons why LLMO matters more than ever in today’s AI-first digital landscape.

Reason #1. Traditional SEO is not enough in an AI-first world

For years, SEO has stood as the sole barrier to entry for search visibility. This strategy revolved around optimizing content for search engine crawlers through keywords, backlinks, and other technical data to climb the ranks.

However, for the first time, LLMs are challenging SEO’s position as an arbiter for search visibility. Given the popularity of AI chatbots like ChatGPT and Perplexity, it’s only fitting that Google integrates the same generative summary at the top of search results in response to queries (AI Overviews).

This created a bipartite challenge to traditional SEO:

• The first organic position will receive significantly fewer clicks and CTR
• You now have to perform SEO to rank high and LLMO to bag a spot in the AI snapshot

Faithfully sticking to either one strategy or the other wouldn’t cut it.

Reason #2. Zero-click searches are replacing traditional SERPs

AI Overviews on their own are already a problem. But Google is brewing a new SERP feature called AI Mode that seeks to completely replace the traditional search results interface with AI-generated content, complete with links to sources.

This only makes the argument for zero-click searches stronger.

Unlike traditional SERPs, where users are actively looking for answers, zero-click searches spoon-feed instant responses. That means no more need to click a website, and Google gives a comprehensive summary that answers your specific inquiry.

When that happens, your traffic and visibility depend less on rankings and more on being included in the AI’s generated response.

LLMO makes your content attractive to AI citations, improving your chances of being featured in those answer boxes.

Reason #3. Your content could be cited without ranking #1 in organic search

SEO and LLMO are not easy.

But for a small website in a cutthroat industry, we can argue that ranking for AI Overviews and other LLMs is way easier than outcompeting household names with unlimited SEO budgets.

Recent studies from Ahrefs reveal that traditional SEO metrics have not-so-great correlation with mentions in AI Overviews, ChatGPT, and Perplexity. This means that, while SEO metrics matter, you can blow past established brands on AI citations if you play LLMO right.

Here is what Patrick Stox discovered in his mention share vs. Ahrefs rank analysis of the top 50 brands mentioned across LLMs:

This new finding makes the playing field even more level. And below, we’ll look at data-backed strategies on how to do LLMO:

How to Do Large Language Model Optimization (LLMO)?

There isn’t an established consensus yet on the best practices for optimizing content for large language models. However, microstudies from various authors offered invaluable insights into creating this list.

Here are the resources we referenced for the curation of these strategies:

• What content works well in LLMs? By Kevin Indig (Growth-Memo)
• An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied) by Louise Linehan and Xibeijia Guan (Ahrefs)
• Domain-Level Link Metrics May Not Be Good Predictors of AI Search Mentions by Patrick Stox (Ahrefs)   

1. Double-check if your site is unintentionally blocking LLMs from indexing your content

You could have the best, most AI-recognizable content, but if the technical aspects of your site are blocking your efforts, your page still wouldn’t appear as citations.

Check your robots.txt file if any commands are added there that might block LLMs from crawling your site.

Additionally, make sure your website is indexed in various search engines for maximum visibility, whether for traditional search or AI-generated content.

For example, the website OnlineDoctor.com is indexed on Google…

… but not on Bing:

In that case, relevant queries concerning OnlineDoctor’s niche may surface the website on Google’s AI Overviews and Gemini but not on Bing’s CoPilot.

Other technical issues that can prevent AI mentions include:

• LLM crawlers blocked by firewall or CDN
• Overlooked broken links disallowing LLMs from fully crawling your site
• Improper redirect implementation that confuses LLM bots
• Nofollow tags in your pages’ metadata

Technical inconsistencies like this can sabotage your LLMO efforts, so make sure your site is accessible to generative AI tools to increase your chances of getting cited.

2. Phrase your content as AI chatbot users would phrase their prompt

Think of your content as a direct response to an AI prompt. Users interact with LLMs by asking natural, question-based queries like “How does LLMO differ from SEO?”

So, your content should mirror those queries in structure and tone. Don’t go all ornate and overembellished on your prose because you’re not Shakespeare (unless that’s your entire schtick).

Otherwise, keep your content simple, which means: 

• Use conversational phrasing
• Answer questions clearly
• Include variations of how a prompt might be asked

In addition to proper content formatting, it’s equally crucial to phrase your content in a way that mirrors the language people use in AI queries. 

For example, Kevin Indig discovered that the term “best” triggers brand mentions in nearly 70% of prompts. Other powerful prompt triggers include “trusted,” “source,” and “recommend.”

In practice, here is an example of how that should look. Instead of saying, “We provide an automated internal linking SaaS for SEO,” you might write, “We’re a trusted SaaS company that offers automated internal linking tool that’s used by thousands of marketers.” 

This doesn’t just make your content more relevant, but even makes it AI-friendly.

There’s little research yet on the most common queries used on LLMs, so we can’t reverse-engineer anything yet with full certainty at this point. But microstudies like these give us insight into these machines’ internal workings.

3. Increase your word and sentence count without adding more fluff

Let’s get one thing straight: CONTENT LENGTH and CONTENT DEPTH are not one and the same. 

Just because an article is long doesn’t mean it’s valuable. Some 2,000-word articles can be compressed to 500 words and still get the same message across.

However, LLMs have a proclivity toward longer content, specifically because longer pieces have a higher tendency to offer complete, comprehensive, and well-explained answers to a query.

Here is a quick graph showing the primary differences between the top 10% and bottom 90% of pages cited in AI snapshots:

Conversely, shorter posts are likely (not necessarily) to be thinner in value.

Aim to extend the value of your content by making the following improvements:

• Cover additional or tangential subtopics relevant to your content
• Create original graphics if possible
• Add relatable or real-life examples
• Answer frequently asked questions
• Use bullet points, comparisons, and formats that AI can parse easily

The goal is to make your content dense and information-rich, satisfying intent, and making it more attractive for AI citations.

4. Improve your Flesch-Kincaid readability scores

Believe it or not, traditional SEO metrics like the number of backlinks, number of keywords, and total traffic does not matter that much for AI citations. At least, that’s what Kevin Indig found in his study.

AI tools like Perplexity and ChatGPT place more weight on Flesch readability scores.

If you’re not aware, Flesch Reading Ease is a 0-100 scoring system that measures how easy it is to read a piece of text based on the sentence length and word complexity. The higher the score, the easier it is to read the content.

Apparently, Flesch scores aren’t only for human readers but also for LLMs. Don’t get it twisted. AI can understand even the most complex run-on sentences. However, readability scores may be a stiff parameter that they take into account when citing resources.

To improve your content’s readability, here are a few tips:

• Keep sentences short and punchy
• Use more active voice and limit passive voice usage
• Break up long paragraphs
• Avoid jargon when possible

This isn’t about dumbing down your content. Think of it as simplifying complex ideas for easier comprehension, making your content attractive to AI tools.

5. Invest in a good PR strategy to amplify your reach (in a good way!)

In an analysis conducted by Ahrefs’ Louise Linehan and Xibeijia Guan, they discovered three metrics to have the highest correlation with AI Overview mentions: 

• Branded web mentions: How many times your brand name is mentioned across the open web 
• Branded anchors: How many times your brand name was used or integrated into anchor texts (backlinks, internal links, external links)
• Branded search volume: How many times your brand is searched on search engines per month on average

Here’s the breakdown of the factors influencing AI Overview citations:

Since LLMs source out content across multiple reputable sources, you want your brand to be all over the place. 

From a human’s perspective, seeing your brand plastered across the web associates your brand with reputability, this helps with brand recall. The same principle applies with AI. 

If your brand name is present across multiple touchpoints, LLMs are more likely to see you as a reliable source, increasing your chances of being cited.

A smart PR strategy can help distribute your content and brand name to places where AI models are more likely to find it. Think guest posts, media coverage, podcast features, and niche mentions.

6. Build more high-quality backlinks from reputable sites

Piggybacking off point #5, backlinks are still invaluable for AI discovery despite the downplay on traditional SEO metrics.

First, branded anchors is an important factor for AI Overview citations. This emphasizes the importance of building backlinks using branded anchor texts. It doesn’t have to be exact match per se, but including your brand name on the anchor text can already have a massive impact. 

Secondly, backlinks, much like other links, are channels for AI bots to discover your site. Focus on building backlinks from reputable sites since they are likely frequently visited by AI crawlers, which, by extension, amplifies your content’s chances of being discovered as well.

Finally, SEO aside, high-quality backlinks are still the most significant ranking factor for SEO to this day. That means actively engaging in link-building efforts lets you hit two birds with one stone: 

• Boosted traditional SEO performance
• Increased AI citation likelihood

7. Work on the factors influencing your brand’s overall popularity

According to Kevin Indig, popularity is the most significant criterion for AI citations, particularly with AI Overviews, Perplexity, and ChatGPT.

But what exactly does “popularity” mean?

Popularity is an overarching, multifaceted term in the modern digital marketing landscape. It refers to those brands that excel across various marketing channels, including SEO, content creation, social media, reviews, and digital advertising.

To maximize LLMO, you can’t afford to have tunnel vision, or primarily focusing on one or two marketing facets, then neglect the rest. 

Staying consistently active and successful on multiple channels increases your likelihood of being picked up and cited by large language models.

Is SEO Still Relevant in the Age of LLMO?

Thinking SEO is dead just because large language models have a growing user base of searchers is a big mistake.

SEO and LLMO are not mutually exclusive, but are interdependent.

Multifaceted marketing optimization, which includes SEO, is the backbone of LLMO. That means neglecting SEO puts you at a disadvantage if you want to appear in AI citations.

On the other hand, relying solely on SEO without adapting to how AI systems retrieve and present information also leaves you behind. Traditional SEO tactics are formulaic and focused primarily in ranking in SERPs, while LLMO ensures your content is structured, readable, comprehensive, and semantically rich to be cited in AI-generated answers.

That said SEO and LLMO complement each other. Think of LLMO as an evolution to SEO.

To thrive in today’s AI-driven search landscape, marketers must integrate SEO foundations with LLM-focused enhancements.

So, ready to succeed in LLMO?

It all started with OpenAI’s ChatGPT, and many companies have begun riding the AI train since. Google included.

From Search Generative Experience to its rebrand, AI Overviews, now, the search engine giant is experimenting with a new SERP feature that will radically change how search works.

Introducing: AI Mode.

Google’s latest experiment, AI Mode, isn’t just another tweak to the SERP like AI Overviews. 

It’s literally removing the 10 blue links in favor of AI-generated content produced by a supercharged Gemini model capable of deeper reasoning and smarter comparisons, allowing it to fully answer complex and nuanced queries without users ever clicking a single link.

It’s really good. Kudos to Google.

While AI Mode favors the majority of searchers who just want quick and concise answers, for SEOs, this isn’t evolution but a disruption.

As Google pushes toward a zero-click, AI-driven search experience, many content creators and marketers will be left wondering: If Google answers everything while referencing only a select few, who still needs our websites? 

I’m all for progress and maximum user experience, but AI Mode threatens to reduce even some of the best-optimized pages to invisible contributors in a summarized box, and it’s scary.

We’re no longer fighting for first position. We’re fighting to be included at all.

That said, is this the death of SEO we’ve all been fearing? It might be. But we’re getting a little ahead of ourselves.

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If you haven’t noticed yet, we are living in an era of automation. 

Ever since generative AI became mainstream, companies have made it their life mission to integrate artificial intelligence into their workflow and services. And for good reason!

AI shines in taking over repetitive tasks, leaving more room for humans to perform creative and strategic tasks. Even digital marketers and SEOs are turning to AI for menial responsibilities; internal linking is no exception.

Manually building internal links can be tedious, time-consuming, and easy to overlook, especially on growing websites. 

That’s where automated internal linking comes in.

It promises to simplify SEO efforts, improve site structure, and keep your content interconnected with minimal effort. But like any automation, it’s not without drawbacks.

In this guide, we’ll walk you through everything you need to know—benefits, limitations, and the best tool to supercharge your internal linking campaigns. Stay tuned!

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SEO mistakes are like termites in your walls. They stay silent, hidden, and slowly sabotage your SEO campaign from the inside while everything seems fine on the surface.

At least, that’s what I thought they were. 

But many websites do not share the same viewpoint. In fact, many SEO mistakes lists I’ve seen kept pointing out the obvious: Keyword stuffing, slow site speed, lack of mobile optimization, etc.

DUH! Are there even any websites in 2025 still not optimized for mobile? I don’t think so. 

The real SEO mistakes are not the glaring errors but the subtle ones. Those that feel right but quietly derail your efforts behind the scenes. 

In this article, we’re skipping the obvious and diving deep into the 10 most destructive SEO mistakes that often fly under the radar. Stay tuned!

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When you’re just starting with SEO (or have been at it for a while but are currently dealing with a tight budget), it can feel like every decent tool costs an arm, a leg, and your Netflix subscription. 

Now I know what you’re thinking: why not just wing it and go commando on SEO without using any tools? 

Sure, it’s possible—although it feels a bit like trying to find an unfamiliar place without Google Maps. You’ll get there eventually, but it’ll take longer than it should.

SEO tools expedite the process of ranking in search engines. And while quality often comes at a price, the truth is that improving your rankings doesn’t always have to drain your wallet.

There are tools out there that offer real SEO value without slapping you with a premium price tag. And that’s what we’re here to share with you!

In this guide, we’ve rounded up the top 10 cheapest SEO tools that move the needle, helping you research keywords, analyze backlinks, optimize content, and more. Keep reading.

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