Guide to Understanding Semantic SEO
Are your old search engine optimisation tricks failing to deliver results? You’re not alone. Search engines like Google have evolved to understand the meaning and context behind a search, not just the specific words used. Simply stuffing your pages with keywords no longer works. To succeed in today’s digital marketing landscape, you need a strategy that aligns with how modern search engines think. This is where semantic SEO comes in, shifting the focus from keywords to comprehensive, user-focused topics.
Semantic SEO is the practice of creating content around a topic rather than a single keyword. It focuses on the meaning and relationships between words to fully satisfy a user’s search query. The goal is to provide a complete answer, anticipating follow-up questions the user might have.
Imagine you search for “semantic SEO.” You probably want more than just a basic definition. A semantically optimised article would also explain how it works, why it’s important, and how to implement it, creating a comprehensive resource that truly helps you.
Fundamental concepts of semantic SEO
At its core, semantic SEO is about helping search engines understand your content on a deeper level. It moves beyond simple keyword matching and focuses on concepts, or entities, and the relationships between them. An entity can be a person, place, thing, or idea that Google can identify and understand.
When you create content that connects these entities logically, you help build Google’s Knowledge Graph. This is a massive database of facts and connections that allows the search engine to provide more accurate and contextually relevant search results. Your content becomes a node in this web of information.
By building your content around topics and their related entities, you signal to search engines that you are an authority on the subject. This alignment with how AI understands information leads to a better user experience and, ultimately, improved visibility in search.
How semantic SEO differs from traditional SEO
The biggest difference between semantic and traditional SEO is the primary focus. Traditional SEO is keyword-centric, optimizing a page for a specific keyword to rank for that term alone. In contrast, semantic SEO is topic-centric, aiming to cover a subject comprehensively to satisfy user intent.
While keyword research is still vital in semantic SEO, the approach is broader. Instead of targeting one keyword per page, you create in-depth content that naturally incorporates many related keywords and phrases. This shift produces content that serves the user first and the search engine second.
Key differences include:
Content Goal: Traditional SEO optimizes for search engines, while semantic SEO optimizes for user intent.
Keyword Focus: Traditional SEO targets individual keywords, whereas semantic SEO focuses on topic clusters and related terms.
User Experience: Semantic SEO is designed to create a better user experience by providing all necessary information in one place, which can improve metrics like bounce rate.
The evolution of search engine understanding
In the early days of search, some websites achieved high rankings by stuffing pages with keywords, even if the content wasn’t helpful. This forced Google to find better ways for its algorithm to understand human language, which led to the development of semantic search. The goal was to deliver the most relevant and valuable pages for any given query.
To achieve this, Google began using artificial intelligence and machine learning to improve search results and the overall user experience. This technology allows the search engine to analyze the context behind queries, not just the words themselves. It’s a sophisticated analysis of words and the intentions behind them.
Constant algorithm updates have made this possible. By leveraging natural language processing, Google can now interpret text, identify relationships between words, and understand conversational queries. This evolution has been fundamental to the growth of modern digital marketing and continues to shape how we create content.
Why Semantic SEO Matters Today
In today’s competitive online environment, semantic SEO is no longer optional, it’s essential for success. By creating content with a bigger purpose, you increase your chances of achieving higher search engine rankings. Pages that adopt this strategy offer more in-depth information, which Google recognizes as valuable and helpful to users.
This approach also helps you build topical authority, signaling to Google that your site is an expert in its field. Ultimately, semantic SEO improves the user experience, which is a key factor that search engines prioritize. Let’s explore some of the crucial benefits of this modern approach.
Enhanced rankings through semantic signals
A primary benefit of implementing semantic SEO is that your content is more likely to achieve higher rankings. When you create content that reflects the topic model a search engine has built for a keyword, it’s seen as more relevant and valuable. This alignment with search signals helps your pages stand out in competitive search results.
Another major advantage is that you rank for a wider variety of keywords. By writing content around an entire topic, you naturally use more semantically related keywords and phrases associated with that subject. Your piece of content will appear in more searches than if you had only focused on a single keyword.
>>> This comprehensive approach also sends strong quality signals to Google.
>>> Your website builds topical authority on the subjects you cover.
>>> Future content on related topics will find it easier to rank.
>>> You gain visibility across a broader spectrum of relevant keywords.
Improving content relevance for users
How can you make your content more useful for visitors? The answer lies in semantic SEO. When you focus on covering every aspect of a topic, you create a resource that keeps visitors on your page longer. This improved user experience is a positive signal to search engines that helps your content rank higher.
A semantically optimized article doesn’t just answer a user’s initial search query; it anticipates and answers all the related questions they might have next. By providing this complete journey, you prevent users from needing to hop between different articles to find the information they need. Everything is in one place.
This focus on user intent ensures that your content is genuinely helpful. When a user finds a piece of content that fully satisfies their needs, they are more likely to engage with it, trust your brand, and return in the future. This approach using natural language helps reduce your site’s bounce rate and builds a loyal audience.
Role of semantic SEO in voice and AI-driven search
The rise of voice search and AI assistants has transformed how people look for information. Queries are now more conversational and phrased as natural questions. Semantic SEO is perfectly suited for this shift, as it focuses on understanding the intent and context behind human language rather than just keywords.
Google’s algorithm updates, particularly those involving natural language processing, were developed partly in response to the growth of voice search. These technologies allow search engines to understand nuanced, conversational queries and provide direct, accurate answers. Optimizing for semantic search means you’re also optimizing for these new platforms.
As artificial intelligence continues to play a larger role in search, content that is structured semantically will have a significant advantage. By creating comprehensive, well-organized content that directly answers questions, you increase your chances of being featured in voice search results and other AI-driven features.
Core Elements of Semantic SEO
To effectively implement semantic SEO, you need to understand its core components. The strategy moves beyond simple keyword optimization and embraces a more holistic view of content. This includes focusing on entities, topic clusters, and contextual intent to create a web of interconnected, meaningful content.
By mastering these elements, you can build a content strategy that aligns perfectly with how modern search engines like Google understand and rank information. Below, we’ll look at these foundational concepts and how they work together to drive SEO success.
Entities and topic clusters
Entities are the real-world objects, concepts, or ideas that Google’s Knowledge Graph understands, like people, places, and brands. Semantic SEO involves creating content that clearly defines these entities and the relationships between them. This helps search engines recognize your expertise on a subject.
Topic clusters are a practical way to organize this content. This structure consists of a central “pillar page” that covers a broad topic and several “cluster pages” that go into detail on specific subtopics. All pages within the cluster link to each other, creating a strong internal network of related information.
This model is powerful for a few reasons:
>>> It demonstrates comprehensive coverage of a topic to search engines.
>>> The internal linking structure signals topical relevance and authority.
>>> It helps users easily navigate related content, improving their experience.
Contextual intent and user search behaviour
Understanding contextual intent is about figuring out what a user truly wants to accomplish with their search. It requires you to look beyond the keywords and consider the underlying goal of the user search behaviour. Are they looking for information, comparing products, or ready to make a purchase?
Your content should be designed to provide a complete journey that addresses this intent. For example, if someone searches “how to use WordPress,” they likely need more than a simple tutorial. They may also want to know about its benefits, costs, and the best themes and plugins to use.
By anticipating these follow-up questions and structuring your content to answer them, you create a much better user experience. Instead of forcing visitors to perform multiple searches, you give them everything they need in one place. This comprehensive approach signals to search engines that your content is a valuable and authoritative resource.
Semantic keyword research and mapping
Semantic keyword research goes a step further than traditional methods. Instead of just identifying individual keywords, it focuses on finding words and phrases that are conceptually related to your main topic. These related terms, or semantic keywords, help search engines understand the broader context of your content.
This process involves looking for synonyms, related questions, subtopics, and other phrases that support your main topic. For example, if you’re writing about the “importance of physical exercise,” your semantic keyword research might uncover related terms like “list of foods for weight loss,” “low-carb meals,” or “protein shake recipe.”
Once you have these keywords, you can perform keyword mapping to structure your content. This ensures you cover the topic comprehensively without unnaturally stuffing phrases. By enhancing your content with these related terms, you can rank for a wider range of queries and create more relevant, helpful articles for your audience.
Search Engine Algorithms Shaping Semantic SEO
The principles of semantic SEO didn’t appear overnight. They are the result of major updates to search engine algorithms designed to better understand human language. These updates have shifted the focus from keywords to context, intent, and meaning, powered by artificial intelligence and machine learning.
Understanding these key algorithm changes is crucial for grasping why semantic SEO is so effective today. Let’s examine three of the most influential updates—Hummingbird, RankBrain, and BERT—and how they have shaped the modern search landscape.
Google Hummingbird and semantic analysis
Rolled out in 2013, the Google Hummingbird update is widely considered the beginning of the modern semantic search era. Its primary function was to better understand the meaning behind search queries, rather than just matching individual words. Hummingbird uses natural language processing to ensure that pages matching a searcher’s intent rank higher.
This means content that is contextually relevant will perform better than pages that simply repeat keywords. For instance, after Hummingbird, a search for “potato wedges” would return not just links to websites but also a rich set of information from the Knowledge Graph, like a recipe, nutritional facts, and related food searches.
This update marked a significant shift, rewarding content that comprehensively addressed a user’s needs. It paved the way for a more conversational and intuitive search experience, forcing content creators to think beyond keywords and focus on semantic analysis and topical relevance.
RankBrain and machine learning
Launched in 2015, RankBrain is a machine learning system that helps Google interpret search queries, especially those that are unique or have never been seen before. As a key ranking factor, RankBrain enhances Google’s ability to understand the intent behind a user’s search and provide more accurate results.
Like Hummingbird, RankBrain aims to understand a searcher’s goal, but its defining feature is its AI component. The system continuously learns by analyzing the best-performing search results and identifying similarities between pages that users find most valuable. It can make intelligent guesses about unfamiliar words or phrases to filter results effectively.
RankBrain considers more than just keywords; it looks at user location, search history, and trending topics to interpret queries. This allows the search engine to understand the importance of every word in a search, such as “without” in “pasta recipes without wheat flour,” delivering more precise and helpful natural language results.
The impact of BERT on natural language processing
In 2019, Google introduced BERT (Bidirectional Encoder Representations from Transformers), an update that further improved its understanding of conversational search queries. BERT uses advanced natural language processing to analyze the full context of a word by looking at the words that come before and after it.
This bidirectional approach allows the artificial intelligence to grasp the nuances and intent behind a search query with incredible accuracy. For example, BERT helps Google understand the difference between “math practice books for adults” and “adult practice books for math,” where the order of words changes the meaning.
BERT enables users to find relevant and precise information more easily, even with complex or conversational searches. By better understanding the relationships between words and phrases, it ensures that the search results delivered are highly aligned with the user’s true intent, making it a cornerstone of modern semantic search.
Best Practices for Semantic SEO
Now that you understand the “why” behind semantic SEO, it’s time to focus on the “how.” Implementing effective semantic SEO strategies is key to getting better rankings and providing real value to your audience. This involves a combination of high-quality content creation, smart technical optimization, and a deep understanding of user needs.
These best practices will help you create SEO content that is not only optimized for search engines but also genuinely helpful for users. Let’s look at the proven techniques you can start using today to improve your site’s performance.
Creating detailed, topic-focused content
The foundation of semantic SEO is creating detailed content that comprehensively covers a topic. This means going in-depth to answer every potential question a reader might have. While content length itself isn’t a ranking factor, longer, more thorough content is more likely to display the strong semantic signals that search engines value.
Start by creating a well-structured content outline. This roadmap should be divided into main sections (H2s) and subsections (H3s) to ensure you cover the topic logically and completely. Treat each main section as its own mini-article during the research phase to guarantee depth and authority.
When creating your pillar page, focus on:
>>> Comprehensiveness: Fill any gaps left by top-ranking competitors.
>>> Relevance: Ensure every part of the content adds value and addresses user intent.
>>> Clarity: Structure the content logically to make it easy for users and search engines to understand.
Structuring effective internal and external links
A well-planned link building strategy is essential for signaling topical relevance to search engines. Smart internal linking helps you connect related pages on your website, creating a cohesive network of information. When you create a new post, be sure to link it to and from other relevant pages, especially within a topic cluster.
This practice does more than just help with SEO; it also improves the search experience for your users. By linking pages together, you guide readers to other valuable content on your site, helping them navigate easily and find what they need. This can increase engagement and reduce bounce rates.
For example, if a high-ranking landing page links to a newer, related page, it passes authority and increases the chances of the newer page ranking as well. The more intelligently your content is interconnected through internal links, the more effectively you communicate your site’s structure and expertise to both Google and your audience.
Using schema markup and structured data
To ensure search engines fully understand your content, you should use schema markup, also known as structured data. This is a standardized format for classifying the information on your page, essentially explaining to search engines what your content is about in a language they can easily process. It helps clarify the subject, description, images, ratings, and more.
Implementing structured data can make your content eligible for rich snippets in the search results. These enhanced listings, which can include star ratings, pricing, and images, make your page more visually appealing and informative, potentially increasing click-through rates. You might even land a featured snippet.
You can use resources like Schema.org to create the appropriate markup for your content. At a minimum, this will help search engines index your pages more accurately. When combined with high-quality content, structured data can give you a competitive edge and help your pages rank higher in organic results.
Implementing Semantic Keyword Strategy
A successful semantic SEO approach hinges on a sophisticated keyword strategy. This goes beyond targeting single, high-volume terms and instead focuses on building a rich vocabulary of related concepts around your core topics. This method helps you create content that is both comprehensive and highly relevant to user queries.
By identifying and using semantic keywords effectively, you can attract a wider audience and establish your authority on a subject. Let’s explore the steps to build a powerful semantic keyword strategy, from research to implementation.
Identifying semantically relevant keywords
The first step is to expand your keyword research to include semantic keywords. These are words and phrases that are conceptually related to your main topic, even if they don’t share the same exact words. They can include synonyms, related questions, subtopics, and long-tail keyword variations. Some refer to these as LSI keywords, but Google uses more advanced methods to understand context.
For example, if you’re writing about “tips to be healthy,” semantically relevant keywords might include terms like “low-carb meals,” “protein shake recipe,” or “list of foods for weight loss.” These related terms help search engines understand the broader context and meaning of your content.
To find these keywords, you can use a variety of tools and methods:
>>> Analyze Google’s “Related Searches” and Autocomplete suggestions.
>>> Use tools that show related questions and concepts for your topic.
>>> Examine competitor content to see what related terms they are using.
Building topic clusters around user intent
Once you have your keywords, the next step is to organize them into topic clusters. A topic cluster is a content strategy where a central “pillar” page covers a broad topic, and multiple “cluster” pages explore related subtopics in greater detail. This structure is built around user intent, ensuring you address every angle of a subject.
For example, if your main topic is “how to promote a plugin,” your pillar page would provide a high-level overview. Your cluster pages would then dive into specific aspects, such as “best ways to develop a WordPress plugin,” “top marketplaces to promote your plugin,” or “inbound marketing for plugins.”
Each cluster page links back to the pillar page, and the pillar page links out to each cluster page. This internal linking structure shows search engines that your site has deep topical authority on the subject. It creates a seamless content strategy that is easy for both users and search engines to navigate.
Avoiding over-optimisation and keyword stuffing
A common mistake inherited from old SEO practices is over-optimisation, particularly keyword stuffing. In the past, repeating individual keywords multiple times was a viable tactic to rank. However, modern search engines are far more sophisticated and can penalize sites for this practice, as it creates a poor user experience.
The goal of semantic SEO is to create content that reads naturally. Instead of forcing keywords into your text, focus on writing high-quality, comprehensive content that covers a topic in depth. When you do this, relevant keywords and phrases will naturally appear throughout the text.
Focus on providing value to the reader rather than trying to manipulate search engine results. Write for humans first. A well-written, authoritative article will always perform better in the long run than a page that is over-optimized and difficult to read.
Optimising Content for Semantic Search
Creating great content is only half the battle; you also need to optimize it for semantic search. This involves structuring your information in a way that is easy for both users and search engines to understand. The focus should be on clarity, relevance, and providing a superior search experience.
From capturing user intent to using natural human language, these optimization techniques will help you fine-tune your content. Let’s look at how to ensure your articles are perfectly aligned with the principles of semantic search.
Understanding and capturing user intent
Capturing user intent is the most critical aspect of optimizing for semantic search. You must understand the “why” behind every search query. Is the user looking for specific information, trying to make a purchase, or comparing options? Your content needs to directly address that underlying goal.
To do this, map out the entire user journey. For any given search query, anticipate the follow-up questions a user might have and provide that relevant information within your content. This creates a seamless experience where users find everything they need without having to perform additional searches.
To better understand search intent, consider the following:
>>> Informational Intent: Users want to learn something. Provide detailed guides, definitions, and tutorials.
>>> Navigational Intent: Users are trying to find a specific website. Ensure your brand is easy to find.
>>> Transactional Intent: Users are ready to buy. Create clear product pages and calls-to-action.
Using natural language and entity enrichment
Your content should be written in a way that is natural and easy for people to read. Avoid robotic language or awkward phrasing that comes from trying to force in too many keywords. When you write for your audience first, you create content that is engaging and valuable, which is exactly what search engines want to promote.
Entity enrichment is the process of including related concepts and real-world entities in your content to provide more context. This helps search engines connect your content to their Knowledge Graph, reinforcing your authority on a topic. For example, when writing about a city, mention its famous landmarks, notable people, and historical events.
This approach to content optimisation makes your articles richer and more informative. By weaving in these related entities and using natural language, you create a piece of content that is more comprehensive and satisfying for the reader, leading to better engagement and higher rankings.
Addressing “People Also Ask” style queries
The “People Also Ask” (PAA) section in Google’s search results is a goldmine of insights into what users want to know. According to Ahrefs, this feature appears in a significant number of searches, making it a valuable opportunity for visibility.[1] These are the related questions that people most frequently search for on a given topic.
By incorporating these questions and their answers directly into your content, you do two important things. First, you enhance the semantic relevance of your page by covering the topic more comprehensively. Second, you give your page a chance to be featured directly in the PAA box, which can drive highly targeted traffic to your site.
Look for these questions when researching a topic and structure parts of your content to answer them clearly and concisely. This is a simple but powerful way to align your content with user intent and increase your chances of earning a prominent spot in the search results, potentially as a featured snippet.
Tools for Semantic SEO Success
To effectively implement a semantic SEO strategy, you need the right tools to guide your keyword research and content marketing efforts. These tools can help you uncover user intent, find related topics, and structure your content for maximum impact. Fortunately, many powerful options are available, from free built-in features to advanced platforms.
Whether you’re just getting started or looking to refine your approach, these tools will provide the insights you need. Let’s explore some of the most popular and effective tools for semantic analysis and optimisation.
Google Autocomplete and Related Searches
Two of the most accessible tools for semantic SEO are built directly into Google Search. Google Autocomplete provides suggestions in the search bar as you type, revealing common queries related to your topic. This is a quick way to discover popular long-tail keywords and variations that real users are searching for.
At the bottom of the search results page, you’ll find the “Related Searches” section. This list offers more related keywords and concepts associated with your original query. It reflects actual user search behaviour and can help you identify important subtopics to include in your content.
By using both of these free features, you can quickly gather a list of semantically related terms to enrich your content. They provide direct insight into how users think and what information they are looking for, making them an essential starting point for any semantic keyword research process.
AnswerThePublic and AlsoAsked
For a deeper dive into user questions, tools like AnswerThePublic and AlsoAsked are invaluable. AnswerThePublic takes a keyword and generates a visual map of questions, prepositions, and comparisons that people are searching for. It’s an excellent way to find a wide range of content ideas and address specific user queries.
AlsoAsked works similarly by scraping Google’s “People Also Ask” data to show you how questions are related to one another. This helps you understand the user’s journey and structure your content to answer a series of related questions in a logical flow. Both tools are great for building out a comprehensive content outline.
While they serve a similar purpose, there are slight differences in how they present information.
>>> AnswerThePublic
>>> AlsoAsked
>>> Data Source
>>> Aggregates data from Google and Bing suggest features.
>>> Scrapes “People Also Ask” boxes directly from Google.
>>> Visualization
>>> Creates visual “clouds” and wheels of questions.
>>> Generates tree-like diagrams showing question relationships.
>>> Best for broad topic ideation and finding many questions.
>>> Best for understanding query paths and structuring FAQs.
>>> Semantic analysis platforms (e.g., Ahrefs, SEMrush)
For more advanced semantic analysis, paid platforms like Ahrefs and SEMrush offer a comprehensive suite of tools. These platforms go beyond simple keyword suggestions, providing deep insights into competitor strategies, keyword difficulty, and search intent. They are essential for serious SEO professionals looking to gain a competitive edge.
These tools can analyze top-ranking content for your target keywords and generate a list of semantically related terms that you should include in your articles. This data-driven approach helps you ensure your content is as thorough and relevant as possible, aligning it perfectly with what search engines are rewarding.
In addition to semantic analysis, these platforms offer features for technical SEO, backlink analysis, and rank tracking. By integrating all these functions, you can manage your entire SEO strategy from one place, making it easier to optimize your content, monitor your performance, and identify new opportunities for growth.
Common Mistakes to Avoid in Semantic SEO
While semantic SEO offers powerful benefits, it’s easy to make mistakes that can hinder your progress. Many of these errors stem from clinging to outdated SEO practices or misunderstanding the core principles of topical relevance and user experience. Avoiding these common pitfalls is just as important as implementing the best practices.
By being aware of these potential mistakes, you can ensure your content strategy is sound and effective. Let’s look at two of the most frequent errors in semantic SEO and how you can avoid them.
Neglecting context and user experience
One of the biggest mistakes in any content strategy is ignoring the context behind a user’s search. If your content doesn’t align with what the user actually wants to accomplish, it won’t perform well, no matter how well-optimized it is for keywords. A poor user experience leads to high bounce rates and signals to Google that your page isn’t helpful.
Always prioritize providing a complete and satisfying journey for your visitors. This means creating content that is easy to navigate, answers questions clearly, and offers all the relevant information needed to fulfill the user’s intent. Don’t make them work to find what they’re looking for.
To avoid this mistake, remember to:
>>> Map out the user journey before you start writing.
>>> Anticipate follow-up questions and address them in your content.
>>> Structure your content for readability with clear headings and short paragraphs.
>>> Over-reliance on keywords instead of topics
Another common error is getting too focused on individual keywords and losing sight of the broader topic. While keywords are still important, the goal of semantic SEO is to build topical authority. This is achieved by creating a network of related pages that comprehensively cover a subject, not by targeting isolated keywords.
If you fixate on ranking for one specific term, you may miss opportunities to rank for dozens of related long-tail queries. A single, in-depth article on a broad topic will almost always outperform multiple thin pages that each target a minor keyword variation.
Shift your mindset from “What keyword should I rank for?” to “What topic can I become an authority on?” This approach encourages you to create more valuable, in-depth content that naturally attracts a wider range of traffic and establishes your site as a credible resource in your industry.
Understanding & Implementing
Understanding and implementing Semantic SEO is essential for modern digital marketing strategies. By focusing on user intent, creating comprehensive content, and utilizing relevant topics and entities, you can significantly enhance your website’s visibility. As search engines evolve, so must our approach to SEO; integrating semantic elements will keep your content relevant and appealing in an ever-changing landscape.
Remember that prioritising user experience and delivering value through informative, well-structured content is key to achieving long-term success. Explore the tools and best practices discussed to stay ahead of the curve in Semantic SEO. If you’re ready to elevate your SEO strategy, don’t hesitate to reach out!
Frequently Asked Questions
How do entities improve SEO strategy?
Entities improve your SEO strategy by helping search engines connect your content to their Knowledge Graph. By referencing known entities (like people, places, or concepts), you add context and signal your topical authority, which can lead to better rankings and a clearer understanding of your content’s relevance to user intent.
What’s the difference between semantic SEO and traditional SEO?
Traditional SEO is keyword-centric, focusing on optimizing individual pages for specific keywords. Semantic SEO is topic-centric, using machine learning principles to understand search intent and create comprehensive content that covers a subject in depth. The goal shifts from ranking for a keyword to satisfying a user’s entire query.
Which tools are most useful for semantic optimisation?
Useful tools for semantic optimisation include free options like Google Autocomplete and AnswerThePublic for finding related questions. For deeper semantic analysis, paid platforms like Ahrefs and SEMrush are highly effective, offering insights into competitor strategies, related keywords, and overall content performance.
Key Highlights
Semantic SEO prioritizes topics and context over individual keywords to better match search intent.
It involves organizing content into topic clusters to establish topical authority with search engines.
Using structured data and schema markup helps Google understand your content’s meaning.
The goal is to improve the overall user experience by answering all potential questions on a subject.
This approach is crucial for ranking in an era of natural language processing and AI-driven search.
It leads to higher rankings and visibility for a wider range of search queries.
Author: Keith Pattison – Direct Submit
Citations: [1] Ahrefs. “How to Rank in ‘People Also Ask’ Boxes (Case Study).” https://ahrefs.com/blog/people-also-ask/
