Get Cited in Google AI: An SEO Strategy Guide

SEO strategy for Google AI.

If your tried-and-true SEO playbook feels like it’s losing its edge, you’re not wrong. The introduction of AI-generated summaries at the top of search results is rewriting the rules of visibility. Suddenly, the game isn’t just about securing the top rank; it’s about becoming the primary source the AI chooses to cite. If your content isn’t selected, you risk becoming invisible, losing out on the exact moment a customer is looking for a solution. This article is your guide to adapting. We’ll walk through how to create authoritative content, structure it for AI, and measure success in this new environment.

Key Takeaways

  • Become a citable authority: Shift your focus from chasing the number one rank to becoming a trusted source that AI Overviews cite. This means creating in-depth, expert-level content that establishes your brand as the definitive answer on a topic.
  • Structure content for quick synthesis: Use clear headings, bulleted lists, and schema markup to organize your information. This logical structure helps AI models easily parse and pull your content for summaries while also improving readability for your audience.
  • Measure influence, not just clicks: Adapt your analytics to track success beyond traditional rankings and traffic. Monitor brand mentions in AI-generated results and analyze the full customer journey to understand your content’s true impact on brand awareness and authority.

What Are Google’s AI Overviews?

You’ve likely seen them already: detailed summaries that appear at the very top of your Google search results, answering your question directly. These are Google’s AI Overviews. Instead of just giving you a list of links to sort through, Google now acts as a curated answer engine. Its AI reads, understands, and synthesizes information from multiple top-ranking pages to construct a single, comprehensive answer, often with links to the sources it used.

This is a fundamental change from the search engine we’ve used for decades. The focus is shifting from a page of potential answers to one definitive summary. For businesses and marketers, this means the game has changed. The AI pulls its information from content it deems the most trustworthy and authoritative on a given topic. If your content isn’t considered a primary source, you risk becoming invisible on the search results page. Understanding how these overviews work is the first step to adapting your SEO strategy for this new reality. The goal is no longer just to be on the list; it’s to be part of the answer. This means your content needs to be exceptionally clear, well-researched, and structured in a way that an AI can easily parse and trust.

How AI Changes the Goal from Ranking to Recognition

For years, the primary goal of SEO was to rank number one. Now, the objective is shifting from ranking to recognition. It’s less about securing the top blue link and more about becoming the source that Google’s AI trusts to build its summaries. When your content is cited in an AI Overview, Google is publicly recognizing your brand as an authority.

This transforms SEO from a simple conversion channel into a powerful brand discovery channel. A user might not click your link in the overview, but they will see your name. This plants a seed of trust and familiarity. Your new goal is to create content so helpful and authoritative that Google has no choice but to feature it, making your brand synonymous with the answer your audience is looking for.

Why AI Overviews Matter for Your Brand

Appearing in AI Overviews is critical because it places your brand at the exact moment a customer is making a decision. If your content isn’t pulled into that summary, you aren’t just losing out on potential traffic; you’re absent from the conversation when it matters most. Your competitors who are cited in the overview are positioned as the experts, leaving you on the sidelines.

Every time your brand is mentioned in an AI result, it builds trust that extends beyond that single search. More brand mentions signal to both users and Google that you are a reliable source of information. This authority can influence your performance across all your marketing channels. Getting cited is a powerful endorsement, and a solid AI-focused SEO plan is how you earn it.

How to Create Content for AI Search

Creating content that gets featured in AI Overviews requires a shift in strategy. Instead of just targeting keywords, your goal is to become the most helpful, clear, and authoritative answer to a user’s question. AI models are designed to synthesize information from the most trustworthy sources to provide a direct response. This means your content needs to be structured not just for search engine crawlers, but for an AI that is actively trying to learn from it. When an AI model like Google’s scans the web, it’s looking for signals of expertise and depth. It wants to find content that doesn’t just skim the surface but provides real value and answers follow-up questions before they’re even asked.

The following tactics focus on building that trust and making your content the AI’s preferred source. It’s less about keyword density and more about semantic richness and logical structure. By focusing on quality, relevance, and user intent, you can create articles and pages that are perfectly positioned to be cited in AI-generated results. This approach not only prepares you for the future of search but also improves the experience for your human readers today, building brand loyalty and establishing you as a thought leader in your space. We’ll cover how to write with authority, incorporate multimedia, and adopt a conversational tone.

Infographic: 5 Steps to Optimize for AI-Driven Search

Write In-Depth, Authoritative Articles

To get your content featured in an AI summary, it needs to be seen as a definitive resource. Think of it this way: if Google’s AI is going to use your content to answer a user’s question, it needs to trust that your information is comprehensive and accurate. This is about more than just ranking; it’s about becoming the source the AI relies on. Your articles should cover a topic from every angle, answering primary questions and addressing follow-up queries within the same piece. This demonstrates expertise and provides the rich context AI needs to generate a useful overview. MEGA AI’s SEO tools can help you identify content gaps and add new sections to existing articles, making them more thorough.

Add Relevant Multimedia Elements

AI models understand that users process visual information quickly. That’s why you’ll see videos, images, and custom graphics appearing directly within AI Overviews. Google’s AI doesn’t just scan your text; it evaluates all the content on the page to determine what is most helpful. Including relevant multimedia elements like explainer videos, data-rich infographics, and high-quality product photos does more than just make your page engaging. It provides multi-format signals that your content is layered and valuable. When creating campaigns, you can use MEGA AI’s Paid Ads platform to remix your content and automatically generate hundreds of variations for different channels.

Optimize for How People Actually Talk

Users are interacting with search engines differently now. Instead of typing fragmented keywords, they are asking full questions and expecting direct answers. Your content strategy needs to reflect this conversational shift. Focus on long-tail keywords that sound like natural speech and structure your content in a question-and-answer format. Use headings and subheadings to clearly pose a question and then provide a concise, direct answer right below it. This makes it easy for AI to pull your text directly into a summary. Using an automated SEO tool can help you discover the exact questions your audience is asking, so you can create content that speaks their language.

Use Semantic SEO to Get Noticed

To get your content featured in AI Overviews, you need to show Google that you’re an authority on a subject, not just a single keyword. This is where semantic SEO comes in. It’s an approach that focuses on the meaning and intent behind a search query, rather than just matching keywords. By creating a network of comprehensive, related content, you signal to AI that your website is a reliable source of information for an entire topic area.

Go Beyond Single Keywords

Think of your article as more than just words on a page. To stand out, you need to create a rich content experience. If you’re explaining a complex process, include a simple diagram or a short video summary. If you’re presenting data, turn it into a shareable infographic. Google’s AI is designed to pull from multi-format content to construct its answers. By providing these different elements, you make it easier for the AI to understand your content’s value and cite it. This approach also makes your content more engaging for human readers, which is always a win. You can use simple design tools to create visual assets that add significant value to your articles.

Build a Web of Related Topics

Your goal is to train Google’s AI to recognize your brand as the go-to source for a subject. This means moving away from targeting one-off keywords and instead building out topic clusters. A topic cluster is a collection of interlinked articles and pages that cover a broad subject area in depth. Start with a main “pillar” page that gives a broad overview of the topic, then create multiple “cluster” pages that dive into specific subtopics, all linking back to the pillar. This structure shows search engines that you have comprehensive knowledge, making your site a more credible source for AI-generated answers. This strategy helps you cover the entire thought process behind a user’s question.

Structure Content for Easy Reading (for AI and Humans)

How you organize your content matters just as much as what you write. AI, much like a human reader, prefers content that is well-structured and easy to scan. Use clear, descriptive headings (H2s, H3s) to break up your text into logical sections. Incorporate bullet points and numbered lists to make information digestible at a glance. Short paragraphs and bolded key terms also improve readability. This clear formatting helps AI quickly identify the key points and structure of your article, making it easier to pull information for an AI Overview. A well-structured page is a fundamental part of creating a positive user experience on the web.

Build Your Brand Authority for the AI Era

As search engines evolve with AI, the rules of visibility are changing. It’s no longer enough to simply rank for a keyword. The new goal is to establish your brand as such a credible authority that AI models choose to cite you in their answers. Think of it this way: you need to train the AI to see you as the definitive source in your field. This shift means your SEO strategy must also evolve from a technical checklist to a comprehensive brand-building exercise.

Building this level of authority requires a deliberate, long-term approach. You need to prove your expertise, demonstrate your trustworthiness, and make your content accessible in multiple ways. When an AI Overview is generated, you want your brand to be the one referenced because you’ve consistently provided the most reliable and helpful information. This is how you move beyond just capturing traffic; you capture the moment your customer is making a decision. SEO is now a primary brand discovery channel, and your authority is your most valuable asset. The following steps will help you build a brand that both users and AI systems trust.

Become the Go-To Expert on Your Topic

To get cited by AI, you need to be seen as an expert. This means moving beyond surface-level articles and creating comprehensive content that covers a topic from every angle. This isn’t just SEO anymore; this is about training the AI to recognize your brand as a trusted source. Start by identifying your core area of expertise and commit to owning it. Create a topic cluster around your main subject, with a central pillar page that links out to more detailed articles on related subtopics. This structure signals to search engines that you have a deep well of knowledge. By consistently publishing in-depth, authoritative content, you build a reputation as the go-to resource, making it more likely that AI will feature your insights.

Strengthen Your E-E-A-T Signals

Google’s concept of E-E-A-T—Experience, Expertise, Authoritativeness, and Trustworthiness—is more critical than ever. These are the signals AI uses to determine if your content is reliable. If your content isn’t being pulled into AI summaries, you’re not just missing out on traffic; you’re missing the exact moment your customer is choosing a solution. To strengthen your E-E-A-T, showcase author credentials on your blog, secure backlinks from other respected sites in your industry, and feature customer testimonials. An updated “About Us” page that tells your story and highlights your team’s experience also builds trust. Every piece of social proof and every marker of credibility contributes to your overall authority in the eyes of both users and AI.

Repurpose Content Across Multiple Formats

People consume information in different ways, and AI is learning to understand that. As one expert noted, “Google’s AI isn’t just scanning text anymore. It’s pulling from multi-format, multi-layered content.” A single blog post can become the foundation for a YouTube video, an infographic, a podcast episode, and a series of social media updates. This strategy does more than just reach a wider audience; it creates a richer, more engaging content experience that AI systems value. Each format provides another signal of your authority and another opportunity to be discovered and cited. By diversifying your content, you show that you understand your topic deeply enough to explain it in multiple ways, making your brand a more attractive source for AI-generated answers.

Optimize for AI Summaries and Snippets

Getting your content featured in AI Overviews and rich snippets isn’t a matter of chance. It’s about strategically structuring your information so that AI can easily find, understand, and present it as a reliable answer. Think of it as making your content perfectly “citable” for a machine. By organizing your information clearly and adding helpful context, you can significantly increase the odds of your content being selected. This involves a few key technical and structural adjustments that make your site a go-to source for AI-driven search.

Use Schema Markup to Give AI Context

Think of schema markup as a special vocabulary you use to talk directly to search engines. It’s a piece of code you add to your website that labels your content, telling AI exactly what it’s looking at. For example, you can specify that a piece of text is a recipe, a number is a price, or a date is an event. This structured data removes any guesswork for the AI, giving it the context needed to understand your information accurately. When an AI can confidently interpret your content, it’s much more likely to feature that information in a rich snippet or AI Overview.

Organize Information for Quick Summaries

AI models are designed to find and synthesize information quickly. To help them, you need to organize your content in a way that’s easy to scan. Use clear, descriptive headers (like H2s and H3s) to create a logical flow. Break down complex topics into bulleted or numbered lists. This structure acts as a roadmap, guiding both human readers and AI through your key points. When your content is well-organized, you make it simple for an AI to pull out the most important details and use them to construct a summary. This approach to content readability is fundamental to performing well in AI-powered search.

Write Clear, Concise Answers

When a user asks a question, AI looks for the most direct and accurate answer. Position your content to be that answer. Start by identifying the core questions your audience has and address them head-on, ideally within the first few paragraphs of a page or section. Adopting a Q&A format or creating a dedicated FAQ page can be incredibly effective. Use simple, straightforward language and avoid unnecessary jargon. By providing clear, concise answers, you do the heavy lifting for the AI, making your content a perfect, ready-to-use source for its summaries and satisfying user intent at the same time.

How to Measure Success in AI Search

As search engines integrate AI, the old playbook for measuring SEO success needs an update. Relying solely on traditional metrics like keyword rankings and organic traffic doesn’t give you the full picture anymore. When a user gets their answer directly from an AI Overview, they may not need to click on your link, even if your content was the source. This changes how we need to think about performance.

The goal is shifting from simply winning the click to earning a citation. Success in AI search is about influencing the conversation and establishing your brand as a trusted authority that the AI relies on. It’s about visibility within the AI-generated answer itself. To do this effectively, you need to adjust your measurement strategy to account for these new realities. This means looking beyond the dashboard you’re used to and finding new ways to track your brand’s presence and analyze how users interact with your content in this new environment. With the right approach, you can get a clearer understanding of your true impact and refine your SEO strategy for the AI era.

Rethink Your Standard SEO Metrics

While traditional metrics still have their place, they don’t tell the whole story. It’s time to expand your focus to include metrics that reflect influence and authority. Instead of just asking, “Where do I rank?” start asking, “Is my content shaping the AI’s understanding?” This means tracking things like your brand’s visibility, its influence on AI-generated answers, and its authority as an entity in your niche.

This requires a mental shift. Think less about the raw number of clicks and more about the quality of your presence. For example, having your brand cited as a source in an AI Overview can be more valuable than a low-engagement click. This new perspective helps you measure what truly matters: whether search engines see your brand as a definitive source of information on a topic. This focus on entity authority is fundamental to performing well in AI-driven search.

Track Brand Mentions and Visibility

One of the most direct ways to measure your success in AI search is to track how often your brand is cited in AI Overviews. Think of these citations as the new “rankings.” Each mention is a vote of confidence from the AI, signaling that it considers your content a reliable source. You can monitor this by setting up alerts for your brand name or by using specialized tools that track your presence in AI-generated results.

Start by identifying which of your pages already rank well for key terms, as these are prime candidates for being featured. Continue to track your traditional rankings, but use that data as a leading indicator for potential AI citations. When you see your site referenced, it’s a clear sign that your content is well-structured, authoritative, and aligned with what the AI is looking for. This makes brand visibility a critical performance indicator for your AI-focused SEO efforts.

Analyze How Users Engage with Your Content

Understanding how users interact with your content is more important than ever. With AI search, the user journey is no longer a straight line from search to click to conversion. A user might see your brand in an AI Overview, visit your site later, and convert on a different day. To capture this complex behavior, you need to implement journey-based measurement.

This means segmenting your SEO metrics by the different stages of the customer journey, from initial awareness to final conversion. For example, you can track how many users are exposed to your brand through AI citations (awareness), how many click through to read more (consideration), and how many take a desired action (conversion). This approach gives you a more complete view of your content’s effectiveness and helps you understand how your SEO efforts contribute to business goals, even when a direct click isn’t involved.

Improve User Experience to Help AI Find You

A positive user experience (UX) is one of the strongest signals you can send to Google’s AI. When users find your site easy to use, fast, and engaging, they stay longer and interact more. These behaviors tell AI algorithms that your content is valuable and trustworthy, making it a prime candidate for citation in AI Overviews. Think of it as a digital version of a clean, well-organized, and welcoming storefront—it invites people in and encourages them to look around. A site that frustrates users will quickly be abandoned, sending a negative signal to search engines.

Focusing on UX isn’t just about pleasing algorithms; it’s about serving your audience. A seamless experience builds trust and authority, which are foundational elements of E-E-A-T. When your site is intuitive and helpful, users are more likely to see you as an expert. This human-centered approach is exactly what AI is designed to recognize and reward. By improving how people interact with your site, you’re directly influencing how AI perceives its quality. Tools that provide SEO services can help you audit your site to find and fix technical issues that hurt the user experience, giving you a clear path to improvement. A better experience for your users directly translates into a stronger signal for AI.

Prioritize Site Speed and Mobile-Friendliness

A slow-loading website is a major roadblock for users and AI alike. People expect pages to load almost instantly, especially on mobile devices. If your site is sluggish, visitors will likely leave before your content even appears. Google’s algorithms prioritize fast-loading and mobile-optimized sites because they directly impact user satisfaction.

Start by testing your site’s performance with a tool like Google’s PageSpeed Insights. It will give you a score and specific recommendations for improvement, such as compressing images or optimizing code. Since a majority of searches happen on mobile, ensuring your site looks and works great on a smaller screen is non-negotiable. A responsive design that adapts to any device provides a consistent and positive experience for every visitor.

Create Engaging and Interactive Content

To hold a user’s attention and encourage AI to cite your work, your content needs to be more than just a wall of text. Engaging content captures interest, explains complex topics clearly, and makes your information more memorable and shareable. Incorporating different media formats can dramatically improve the user experience and signal to AI that your page is a rich resource.

Consider adding elements like:

  • Videos: Explain a process or showcase a product in action.
  • Infographics: Break down data and statistics into a visually appealing format.
  • Interactive tools: Create calculators, quizzes, or checklists that provide direct value.

This type of interactive content not only keeps users on your page longer but also increases the likelihood that other sites will link to you, further building your authority.

Make Your Site Accessible and Easy to Use

A well-structured website guides users effortlessly to the information they need. If your site is confusing or difficult to use, visitors will get frustrated and leave. This same structure is what helps AI crawlers understand the layout and hierarchy of your content, making it easier for them to parse and index your information for search results.

Ensure your site has clear navigation menus, a logical heading structure (H1, H2, H3), and a readable font size. Web accessibility is also a key part of a good user experience. Simple practices like adding descriptive alt text to images not only help visually impaired users but also give AI more context about your content. A site that is accessible to everyone is a site that is built for success.

Put Your AI-Focused SEO Strategy into Action

Okay, we’ve covered the theories behind creating content that gets noticed by AI. Now it’s time to put that knowledge into practice. A great strategy is only effective when you execute it. Breaking down your approach into clear, manageable steps will help you stay focused and make steady progress in this new search environment. Let’s walk through how to get started.

Assess Where You Stand Today

Before you can map out where you’re going, you need to know your starting point. Measuring success in the age of AI search requires looking beyond just rankings and traffic. Your focus should shift to tracking visibility, influence, and authority. Start by auditing your current performance. How often is your brand mentioned online? Are you cited in any AI Overviews yet? You can track when your site is cited as a proxy for AI “rankings.” This initial assessment gives you a baseline, allowing you to measure the true impact of your efforts as you begin to optimize for AI.

Create a Clear Action Plan

With your baseline established, you can build a targeted action plan. Instead of a scattergun approach, segment your SEO efforts by the customer journey. What content do you need for the awareness stage versus the conversion stage? Prioritize updating your most authoritative, high-performing articles first, enriching them with multimedia, data, and expert insights to increase their chances of being cited. Your plan should include both creating new, in-depth content and using AI-powered content optimization to keep existing pages fresh and relevant. This ensures you’re systematically building a library of content that both users and AI find valuable.

Commit to Continuous Learning and Adapting

The world of AI search is not static, so your strategy can’t be either. Google’s AI features are constantly evolving, redistributing visibility to the sources it trusts most. Your goal is to become one of those trusted sources. This means committing to an ongoing process of learning and adaptation. Don’t just publish an article and forget it. Continuously look for ways to enrich the content experience with unique perspectives and helpful resources. Stay curious, test new formats, and pay attention to what works. A flexible, long-term approach is what will keep you visible as search continues to change.

Use AI Tools to Streamline Your SEO

Adapting your strategy for AI search doesn’t mean you have to do all the work by yourself. The same technology changing search can also make your SEO workflow much more efficient. Using AI-powered SEO tools can help you manage content creation, automate tedious analysis, and uncover insights that would be difficult to find manually. This lets you focus your energy on high-level strategy while the AI handles the heavy lifting, ensuring your brand stays visible and relevant.

Use AI for Content Creation and Optimization

Creating the kind of in-depth, authoritative content that AI Overviews favor takes a lot of time. AI can act as your creative partner, helping you brainstorm topics, structure articles, and write first drafts. Beyond creation, AI is essential for optimization. As the focus shifts from simple rankings to broader influence, you need to measure SEO success differently. AI tools can analyze your existing content and suggest specific improvements to build your entity authority, ensuring your articles are seen as comprehensive resources on a topic. This helps you consistently produce high-quality content at scale.

Automate Repetitive SEO Tasks

So much of SEO involves repetitive work, like keyword research, competitor analysis, and technical site audits. AI can automate these processes, saving you hours of manual effort. For example, as people use more conversational language with AI search, you’ll see longer and more complex search queries in your data. Manually sifting through this information is impractical. AI can quickly analyze these longer queries, identify emerging trends, and pinpoint specific user questions you need to answer, giving you a clear advantage.

Use AI Analytics to Find Actionable Insights

Standard metrics like page views and bounce rates don’t tell the whole story in an AI-driven search world. AI analytics tools can process vast amounts of data to give you a more nuanced understanding of your performance. Instead of just looking at traffic, you can measure success based on the customer journey, from initial awareness to final conversion. AI can identify patterns in user behavior, show you which content contributes most to your brand’s authority, and provide clear, actionable recommendations for what to do next.

How to Future-Proof Your SEO Strategy

The world of search is changing quickly, and the strategies that worked yesterday might not be enough tomorrow. As AI becomes more integrated into how people find information, your approach to SEO needs to evolve, too. Future-proofing your strategy isn’t about predicting the future with perfect accuracy. It’s about building a flexible, resilient approach that can adapt as search engines and user behaviors change. This means staying informed, balancing old and new tactics, and preparing your measurement for what comes next. By focusing on these areas, you can create an SEO plan that doesn’t just react to changes but anticipates them, keeping you visible and relevant no matter how the landscape shifts.

Stay Ahead of New AI Developments

As AI search becomes more common, the way we measure SEO success is shifting from simple rankings and traffic to more nuanced metrics like visibility, influence, and authority. Think of it this way: it’s less about being number one for a keyword and more about being the trusted source AI systems turn to for answers. Building this kind of entity authority means consistently producing high-quality, expert content that establishes your brand as a leader in its field. When an AI sees your site as a reliable source of information, it’s more likely to cite you in its overviews. This requires a mindset shift toward creating a strong, authoritative presence that both users and AI can trust.

Balance Traditional SEO with an AI-First Approach

While it’s important to adapt to AI, you shouldn’t abandon traditional SEO practices. The best approach is a balanced one. Continue to track your keyword rankings to see which pages are performing well in standard search results. At the same time, start tracking when your site gets cited in AI Overviews. Think of these citations as a new kind of “ranking” for AI-driven search. This dual measurement strategy gives you a complete view of your performance. It allows you to maintain a solid foundation with proven SEO techniques while adapting to the new opportunities that AI search presents.

Prepare for What’s Next in Search

To truly understand your impact in an AI-powered world, you need to look beyond individual metrics and see the bigger picture. This is where journey-based measurement comes in. Instead of just tracking overall traffic, segment your SEO metrics by the different stages of the customer journey, from initial awareness to final conversion. This approach helps you understand how AI influences user behavior at each step. For example, you can see if AI Overviews are driving more qualified traffic that engages more deeply with your consideration-stage content. This insight allows you to optimize your content more effectively for the entire journey.

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Frequently Asked Questions

My traffic might drop because of AI Overviews. Is SEO still worth the investment? It’s true that users may not always click through if they get their answer directly from an AI Overview. However, the goal of SEO is shifting from just generating clicks to building brand authority. When Google’s AI cites your content, it’s publicly endorsing your brand as a trusted expert. This builds recognition and credibility that can lead to direct visits and conversions later on, making SEO a critical channel for brand discovery.

What is the first practical step I should take to optimize for AI search? A great place to start is by auditing your existing content. Identify your top-performing articles—the ones that already get consistent traffic and rank well. Then, focus on making them even better. Add more depth, answer related user questions, and use clear headings to structure the information. Improving your strongest content first is an efficient way to increase its chances of being cited by AI.

How is this different from optimizing for the old featured snippets? Optimizing for featured snippets was about providing a single, concise answer that Google could lift directly onto the results page. AI Overviews are more complex. They synthesize information from multiple sources to create a comprehensive summary. This means your content needs to do more than just answer a question; it must serve as an authoritative resource that provides deep context and demonstrates true expertise on the subject.

Do I need a huge budget or a big team to build enough authority to get cited? Not at all. Authority is built on expertise and consistency, not just budget. A small business can become the go-to source in a specific niche by consistently publishing high-quality, in-depth content that is genuinely helpful to its audience. Focus on owning your area of expertise, and you can build the credibility needed to be cited by AI, regardless of your company’s size.

Should I stop focusing on traditional SEO tactics like keyword rankings? You shouldn’t abandon traditional SEO. Think of it as the foundation for your AI-focused strategy. Strong keyword rankings are often a prerequisite for being considered for an AI Overview, as they signal that your page is already relevant. Continue to apply SEO fundamentals, but layer on the new strategies, like building topic clusters and optimizing for conversational questions, to adapt to how search is evolving.

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