Over the past few years, Google Search has undergone one of its biggest transformations. With AI Overviews, AI Mode, richer video results, and more conversational search experiences, users are no longer limited to typing a few keywords and clicking through ten blue links. Google now understands context, intent, and related questions to provide more complete answers, changing how content is discovered and ranked.
These changes have sparked a common question: Is SEO dead? The answer is no. SEO is still the foundation of search visibility, but the way you research, organize, and optimize seo strategy has evolved.
A recent Google Search Central article confirms that SEO remains as relevant as ever, even in the age of AI-powered Search.
Changes such as AI Overviews, AI Mode, conversational search, multimodal search, and Google’s improved understanding of context and user intent have transformed how search works. Despite these advancements, keyword research remains one of the most important pillars of SEO. It has simply evolved from finding individual keywords to understanding topics, user intent, and the complete search journey.
In this guide, we’ll discuss how to do keyword research for SEO, find long-tail keywords, understand query fan-out, build topic clusters, and create an AI-ready keyword strategy.
How Google Search Has Evolved: From Matching Keywords to Understanding Search Intent
Google began integrating generative AI into Search in 2023 and has continued evolving the experience with AI Overviews, AI Mode, and ongoing AI-powered search updates. This reflects a shift from matching keywords to understanding user intent and delivering more comprehensive answers. User searches are no longer limited to simple keyword-based queries or two or three-word queries. Instead, people use natural language to ask detailed questions, compare options, seek recommendations, and engage in follow-up searches to explore a topic more deeply before making a decision.
The screenshot above demonstrates this shift. A single query, “What is barley powder?”, prompted Google AI (Gemini) to provide not only a comprehensive answer but also a series of relevant follow-up questions and related topics that users are likely to explore next. This illustrates how Google now anticipates user intent and encourages a more conversational search journey, rather than treating each search as an isolated query.
Behind this experience is Google’s AI ability to better understand the broader context of a search. To deliver more comprehensive and relevant results, Google’s AI systems can expand a user’s initial query into multiple related searches, a process known as Query Fan-Out. By analysing these connected queries, Google develops a deeper understanding of the user’s intent, uncovers the different aspects of a topic they may be interested in, and identifies content that provides the most complete and helpful answers.
Now, what exactly is Query Fan-Out, and how does it influence your SEO strategy?
Query Fan-Out is Google’s AI process of expanding one search into multiple related queries to gather comprehensive information before showing results.
Let’s take a simple example.
Imagine a user searches for “barley powder.”
Years ago, Google primarily looked for pages that contained product names or specific keywords with higher volume and ranked them based on traditional SEO signals. Users then had to visit several websites to understand the topic, compare products, learn the benefits, check side effects, and decide what and where to buy.
Today, the search experience is much more intelligent.
Through query fan-out, Google recognises that a person searching “barley powder” may actually be looking for answers to many connected questions, such as:
- What is barley powder?
- What are its health benefits?
- How is it different from barley grass powder?
- How should it be used?
- Are there any side effects?
- Which barley powder is best?
- Where can I buy it?
As shown in the screenshots above, Google immediately generates an AI Overview that combines information from multiple trusted sources into one comprehensive answer.
Instead of answering just one question, Google’s AI recognizes that a user searching for “barley powder” is likely looking for several pieces of information at once. The AI Overview therefore includes:
- A definition explaining what barley powder is.
- Different types, such as barley grain powder and barley grass powder.
- Key health benefits, including digestive health, cholesterol support, and blood sugar management.
- How to use it, with practical usage suggestions.
- Where to buy it, while also displaying relevant shopping results alongside the AI-generated response.
Notice what’s happening here.
The user never searched for:
- “benefits of barley powder”
- “types of barley powder”
- “how to use barley powder”
- “where to buy barley powder”
Yet Google still provides answers to these related questions because its AI algorithms understand that they are part of the same search journey.
This behaviour is made possible through Query Fan-Out, where Google’s AI expands the original query into multiple related searches behind the scenes. Rather than relying only on the exact words “barley powder,” it analyses connected topics, entities, user intent, and commonly asked follow-up questions before generating the AI Overview.
This shift has fundamentally changed SEO keyword research.
Earlier, you could often rank by targeting a single keyword and optimizing one page around it. Today, that’s rarely enough. Google expects content to demonstrate a deep understanding of the topic by covering related questions, supporting concepts, important entities, and different user intents. In other words, your content should answer not only the initial query but also the follow-up questions users are likely to ask next.
That’s why modern SEO keyword research starts with a topic rather than a single keyword. From there, you identify the primary keyword, discover relevant long-tail keywords, uncover semantic relationships, analyse user intent, and build pillar pages with supporting topic clusters. This approach aligns your content with how Google’s AI discovers, connects, and presents information.
Understanding this evolution is the first step toward creating content that performs well in both traditional search results and AI-powered search experiences. The next section explores Query Fan-Out in more detail and shows how you can use it to uncover keyword opportunities that many websites still overlook.
This raises an important question: if Google’s AI now evaluates content based on how well it answers an entire search journey rather than a single query, how should you approach SEO keyword reseach? A strong keyword strategy is only one part of a complete SEO approach. Our SEO Services combine keyword research with technical, on-page and off-page optimization to improve organic visibility.
The answer lies in changing the way you research keywords. Instead of focusing on one high-volume keyword, you need to identify the main topic, understand user intent, uncover long-tail and related queries, and organize your content to answer every relevant question users may have. So, let’s understand how to do keyword research for SEO step by step.
The Modern Keyword Research Workflow
Modern SEO keyword research is no longer about finding one keyword and writing a page around it. As Google’s AI algorithms have become better at understanding topics, relationships, and user intent, the keyword research process has also evolved.
Today, successful SEO begins long before you start writing. Instead of targeting individual keywords, you build content around an entire topic and the complete journey a user takes to find answers.
The modern keyword research workflow looks like this:
Choose a topic
↓
Understand search intent
↓
Find the primary keyword
↓
Discover long-tail keywords
↓
Identify semantic and related keywords
↓
Collect questions users ask
↓
Recognize important entities and concepts
↓
Create a pillar page
↓
Build supporting cluster content
↓
Connect everything with internal links
At first glance, this may seem like a longer process than traditional keyword research, but each step builds on the previous one.
You begin by choosing a topic because Google’s AI evaluates topical expertise rather than isolated keywords. Once you’ve selected your topic, the next step is understanding search intent, what users actually expect to find when they search.
After identifying the intent, you choose a primary keyword that best represents the page. From there, you expand your research by discovering long-tail keywords, semantic keywords, and related searches that reflect different ways users explore the same topic.
How to Choose the Right Keywords (Instead of Chasing High Search Volume)
One of the biggest mistakes beginners make is choosing keywords based only on monthly search volume. A keyword with 10,000 searches isn’t always better than one with 500 searches. If the keyword doesn’t match your audience’s intent or doesn’t fit your content strategy, ranking for it won’t generate meaningful traffic or conversions.
Modern SEO keyword research is about finding the keywords your audience actually searches throughout their decision-making journey.
Let’s understand this with the same example of barley powder.
Google’s AI understands that users searching for barley powder have different intentions depending on where they are in their journey. Some are looking for basic information, while others want to compare products or make a purchase.
Instead of targeting one keyword, you need to uncover the entire keyword ecosystem around your topic.
Step 1: Start With a Seed Keyword
Begin with a broad keyword that represents your topic.
For example: barley powder
This isn’t the final keyword you’ll optimize for, it’s simply the starting point for your research.
Step 2: Expand the Keyword Using Ahrefs or Semrush
Enter “barley powder” into Ahrefs Keywords Explorer or Semrush Keyword Magic Tool.
Instead of focusing only on search volume, explore the related keyword reports.
You’ll typically discover keywords like:
Informational Searches
- what is barley powder
- barley powder benefits
- barley powder nutrition
- how to use barley powder
- barley powder side effects
Commercial Searches
- best barley powder
- organic barley powder
- barley powder price
- barley powder reviews
Transactional Searches
- buy barley powder online
- barley powder near me
- barley powder Amazon
Immediately, you’ll notice something important.
People aren’t searching for just “barley powder.” They’re searching for dozens of related queries depending on the information they need.
Step 3: Identify Long-Tail Keyword Opportunities
Once you’ve chosen your primary keyword, the next step is to discover long-tail keywords. These are longer, more specific search phrases that reflect exactly what users are looking for. They typically have lower search volume but higher search intent, making them valuable targets for SEO.
Let’s continue with our barley powder example.
How to Find Long-Tail Keywords in Ahrefs
- Open Ahrefs Keywords Explorer.
- Enter your primary keyword, “barley powder,” and click Search.
- From the left-hand menu, navigate to Matching Terms, Phrase Match, or Questions.
- Use filters such as Word Count (3+ words), Keyword Difficulty, or Search Volume to narrow your results.
- Export the keywords that closely match your topic and audience’s intent.
How to Find Long-Tail Keywords in Semrush
- Open the Keyword Magic Tool in Semrush.
- Search for “barley powder.”
- Browse the keyword suggestions or apply filters like Questions, Broad Match, or Phrase Match.
- Sort the results by search volume, keyword difficulty, or intent.
- Save the keywords that answer specific user needs rather than simply having the highest search volume.
Using these tools, you’ll uncover keywords such as:
- is barley powder good for diabetes
- how to use barley powder for weight loss
- barley powder benefits for skin
- barley grass powder vs barley powder
- how much barley powder should I take daily
These are long-tail keywords because they represent highly specific searches instead of broad topics.
Step 4: Find Question-Based Keywords for FAQs and AI Search
Don’t stop after collecting your primary, related, and long-tail keywords. Modern SEO keyword research should also include question-based keywords because they reveal the exact questions users want answered.
Google’s AI doesn’t simply rank pages that contain keywords, it looks for content that provides complete, trustworthy answers. That’s why you’ll often see AI Overviews, People Also Ask, and FAQ-rich content appearing prominently in search results.
Using our barley powder example, tools like Ahrefs and Semrush can help you discover question-based keywords.
If you search “barley powder” in Ahrefs Keywords Explorer, open the Questions report. In Semrush, use the Keyword Magic Tool and filter the results by Questions.
You’ll discover queries such as:
- What is barley powder?
- Is barley powder healthy?
- What are the benefits of barley powder?
- How do you use barley powder?
- Can barley powder help with weight loss?
- Is barley powder safe for diabetes?
- What is the difference between barley powder and barley grass powder?
- Are there any side effects of barley powder?
- Which barley powder is the best?
- Where can I buy barley powder?
Notice something interesting.
These aren’t random keywords, they’re the actual questions users type into Google. More importantly, many of these are the same questions Google’s AI includes in AI Overviews when someone searches for “barley powder.”
Instead of creating separate articles for every question, use them to strengthen your main content.
For example, if you’re writing a guide on barley powder, your article can naturally include sections such as:
- What is barley powder?
- Health benefits of barley powder
- How to use barley powder
- Barley powder vs. barley grass powder
- Possible side effects
- Frequently asked questions
By answering these questions within the same page, you’re helping users complete their search journey without leaving your content.
Why Question Keywords Matter in Modern SEO
Question-based keywords do much more than improve your FAQ section. They help you:
- Understand exactly what your audience wants to know.
- Discover content gaps that competitors may have missed.
- Improve your chances of appearing in People Also Ask and AI-generated search experiences.
- Build topical authority by answering related questions in one comprehensive resource.
- Create content that aligns with Google’s AI-driven understanding of user intent.
Think of FAQs as more than an SEO feature, they’re an opportunity to answer the follow-up questions users are most likely to ask. When combined with your primary keyword, long-tail keywords, semantic keywords, and related entities, these question-based keywords help create content that is both more useful for readers and better aligned with how Google’s AI evaluates comprehensive content.
Step 5: Find Semantic and Related Keywords
After identifying your long-tail keywords, the next step is to discover semantic and related keywords. These aren’t necessarily synonyms, they’re words, phrases, entities, and concepts that Google naturally associates with your main topic.
Modern search engines use these relationships to understand whether your content covers a topic comprehensively. That’s why simply repeating your primary keyword is no longer enough.
Let’s continue with our barley powder example.
How to Find Semantic Keywords in Ahrefs
- Open Ahrefs Keywords Explorer and search for “barley powder.”
- Explore reports like Terms Match, Also Rank For, and Search Suggestions.
- Review the keywords that frequently appear alongside your primary keyword.
- Export the relevant terms that add context to your content.
How to Find Semantic Keywords in Semrush
- Open the Keyword Magic Tool and search for “barley powder.”
- Review the keyword variations and related keyword suggestions.
- Explore the Related Keywords section and analyze competing pages ranking for your primary keyword.
- Save the terms that naturally support your main topic.
For barley powder, you may find semantic keywords such as:
- barley grass powder
- barley leaves
- chlorophyll
- dietary fibre
- antioxidants
- wheatgrass
- green superfood
- nutritional supplement
- vitamins and minerals
- organic barley powder
Notice that many of these aren’t direct variations of “barley powder.” Instead, they help Google understand the broader context of your content.
For example, if your article explains the benefits of barley powder but never mentions concepts like nutrients, barley grass, chlorophyll, or dietary fibre, Google may consider the content less comprehensive than a competing page that naturally covers these related topics.
Don’t Stuff Keywords, Build Context
Semantic keywords should never be forced into your content.
Instead, include them naturally where they help explain the topic. For example, if you’re discussing the health benefits of barley powder, it’s completely natural to mention its nutritional value, antioxidants, dietary fibre, and chlorophyll. These terms add depth to your content while helping search engines understand its relevance.
Think of semantic keywords as supporting evidence rather than extra keywords to rank for.
Combined with your primary keyword and long-tail keywords, they help create content that answers users’ questions more thoroughly and demonstrates topical authority. This is exactly the type of comprehensive content Google’s AI increasingly favours in both traditional search results and AI-powered search experiences.
Step 6: Group Similar Keywords Together
Don’t create a separate article for every keyword.
Instead, group keywords that answer the same user intent.
For example:
Article 1
Primary Keyword:
Supporting Keywords:
- health benefits of barley powder
- barley powder nutrition
- is barley powder healthy
Article 2
Primary Keyword:
Supporting Keywords:
- barley powder recipes
- how much barley powder should I take
- barley powder dosage
Article 3
Primary Keyword:
- barley grass powder vs barley powder
Supporting Keywords:
- difference between barley powder and barley grass powder
- barley powder comparison
Each page serves a unique purpose while supporting the broader topic.
Step 7: Think Like Google’s AI
Before choosing your final keywords, ask yourself:
- What questions will users ask before buying?
- What follow-up questions might they have?
- Which comparisons are important?
- What misconceptions should I address?
- Which related concepts naturally belong in this topic?
These questions help you discover keyword opportunities that traditional research often misses.
Don’t Choose Keywords, Choose Search Journeys
The goal of modern keyword research isn’t to build a spreadsheet with hundreds of keywords.
The goal is to understand everything your audience wants to know about a topic. Tools like Ahrefs and Semrush simply provide the data. Your job is to organise that data into meaningful topics, identify search intent, and create content that answers users’ questions from beginning to end.
That’s exactly what Google’s AI is looking for, a comprehensive resource that solves the user’s problem rather than a page optimized around a single keyword.
Conclusion
Keyword research is no longer about finding a single keyword with the highest search volume and hoping it ranks. As Google’s AI-powered search continues to evolve, success depends on understanding how users search, the questions they ask, and the complete journey they take to find answers.
Modern SEO keyword research starts with a topic, not just a keyword. From there, you identify search intent, discover long-tail keywords, uncover semantic and related terms, collect question-based queries, understand important entities, and organise everything into pillar pages and topic clusters. This approach helps you create content that is genuinely useful for readers while aligning with how Google’s AI understands and ranks information.
Whether you’re creating content for a blog, an ecommerce store, a local business, or a YouTube channel, the goal remains the same: answer the user’s primary question and the follow-up questions they are likely to ask next. The more comprehensively you solve a user’s problem, the stronger your chances of earning visibility in both traditional search results and AI-powered experiences like AI Overviews and AI Mode.
As search continues to evolve, don’t focus on chasing individual keywords. Focus on building topical authority, creating helpful content, and understanding the complete search journey. That’s the future of SEO, and it all begins with smarter keyword research.
