How to Rank in AI Overviews

AI overviews are already shaking up the search industry. It’s no longer news that they impact website traffic and click-through rates. If you're a SEO specialist, you must adapt to maintain visibility and stay ahead of the competition.

Drawing from our experience helping various brands achieve positive results, we’ve created a step-by-step guide to help you rank in Google AI overviews.

Let’s get started!

What Are AI Overviews?

AI overviews are Google's AI-generated summaries that now dominate the top of search results. They reference information from multiple sources to provide users with quick answers.

For SEOs, this means a major shift in organic traffic patterns and a new battleground for visibility. Instead of just competing for traditional rankings, you now have to optimize for AI overviews to ensure your content gets noticed.

In our recent study of how AI overviews impact search, we found that clicks have gone down by 57%!

How AI Overviews Differ From Featured Snippets

While featured snippets directly extract content from a single source, AI Overviews synthesize information from multiple sources to create a comprehensive answer. Key differences include:

How Do AI Overviews Work?

AI overviews follow a structured process to generate responses, but not all content gets featured. Knowing how they work can help you align your strategy and improve your chances of being included.

Let's understand the technology behind AI-generated overviews in detail.

Natural Language Processing (NLP)

Like other AI tools, Google’s AI overviews rely on NLP to analyze, interpret, and summarize large amounts of content. This technology enhances its ability to understand the intent behind a query rather than just matching exact keywords.

A recent SurferSEO study supports this, showing that AI-generated overviews include the exact search query in only 5.4% of cases.

Content Summarization

AI overviews don’t generate entirely new content. They extract key points from different sources and provide a structured summary. You’ll often notice that AI-generated summaries are presented in list-like formats to make information easy to scan and digest.

Here’s an example:

Source Attribution

While AI overviews generate summaries, they take it further by citing their sources to ensure transparency and credibility. These sources typically include links to the referenced content, which can be found on the right-hand side of the summary on the desktop screen.

And within an expandable section on mobile devices.

How AI Overviews Affect SEO

The impact of AI-generated overviews on SEO cannot be overstated. We've seen reports highlighting their influence on search rankings, click-through rates, and overall website visibility.

Here’s a closer look at the effects.

Visibility and Traffic Redistribution

Since AI overviews provide instant answers at the top of search results, they reduce the need for users to click through to individual websites. As a result, many websites have experienced a significant drop in organic traffic.

For instance, Conductor reported that some pages lost up to 60% of their traffic. This shift challenges businesses to rethink their SEO strategies. Now, the focus is on creating content that AI overviews are more likely to feature to stay visible.

Steps to Rank in AI Overviews

Securing a spot in AI overviews means aligning your content with what search engines prioritise through Generative Engine Optimisation strategies. While the exact criteria aren’t always clear, certain steps can increase your chances of being featured.

Here’s what you need to focus on.

Step #1: Align Content With AI Search Algorithms

Since AI overviews rely on NLP to understand queries and extract relevant information, your content must focus on meaning rather than keyword matching. Follow these strategies to create search-friendly content:

• Answers questions clearly: AI overviews prioritize well-structured responses with clear and concise answers to user queries. For example:
  
  • Instead of: "Cloud migration is a process that involves multiple steps, including planning, execution, and optimization."
  • Use: "Cloud migration involves three key steps: planning, execution, and optimization."
• Focus on user intent: Ensure your content aligns with what users seek by providing direct and useful information.
• Write in a conversational and engaging tone: AI prioritizes content that mimics natural human speech, so avoid overly complex language. Use short sentences, contractions, and an informal yet informative approach.
• Optimize for question-based searches: AI overviews often pull answers from content that directly addresses common questions. Use natural, conversational phrasing in your headings and subheadings, and structure your responses clearly to match how users search.

To increase your chances of being featured, research common questions using tools like AnswerThePublic, AlsoAsked, and SEMrush. Identify long-tail queries that reflect natural user searches and incorporate them into your content.

• Optimize for voice search: AI overviews also cater to voice search users. To make your content more voice-search friendly:
  
  • Use natural phrasing and contractions ("What’s the best way to save for retirement?" instead of "What is the best method for saving for retirement?").
  • Keep sentences short and to the point.
  • Answer queries conversationally, as if speaking directly to the reader.

Step #2: Optimize Titles and Meta Descriptions for Direct Answers

Well-crafted titles and meta descriptions help search engines understand your content and may increase the likelihood of AI pulling your page as a source. Here’s how to achieve that:

• Use question-based titles to align with AI overviews and user intent:
  
  • Don’t: "Comprehensive Guide to Cloud Migration"
  • Do: "How to Plan a Cloud Migration in 2024: Step-by-Step Guide"
• Front-load key answers: Place essential information within the first 50-60 characters to quickly convey relevance.
• Write meta descriptions that summarize answers: Ensure they provide a clear response to the search query while maintaining readability.
  
  • Example: "Planning a cloud migration? Follow this step-by-step guide to ensure a smooth transition and avoid common pitfalls."

While optimizing titles and meta descriptions alone won’t guarantee a spot in AI overviews, they can improve click-through rates and search visibility, making them a valuable part of your SEO strategy.

Step #3: Implement a “Google-Friendly” Summary

A "Google-Friendly" summary provides quick answers to the main query alongside structured information for AI processing. You can achieve this by adding a TL;DR or key takeaways section directly under the H1.

This section ensures AI and readers can quickly grasp the key points without scrolling through the entire content.

Step #4: Leverage Semantic SEO and Structured Data

AI overviews rely heavily on structured data and contextual understanding to extract and display relevant information. You can optimize your content for AI overviews by implementing semantic SEO strategies and structured data to help search engines categorize your content. Here’s how:

Use Schema Markup to Improve AI Comprehension

• FAQ schema: Ideal for question-based queries, enabling AI to recognize and structure answers for "People Also Ask" sections and AI overviews.
• How-to schema: Best for step-by-step guides, ensuring structured formatting that AI can easily summarize.
• Speakable schema: Optimized for voice search results, making content more accessible for spoken queries and smart assistant responses.

Optimize for Related Terms and Semantic Search

• Cover synonyms, keyword variations, and related topics to enhance relevance and improve the chances of AI recognizing your content for multiple search intents.
• Use long-tail keywords that align with AI’s contextual understanding, ensuring better matching with user queries.
• Implement internal linking to reinforce topic clusters, guiding AI in understanding content relationships and improving overall discoverability.

Step #5: Strengthen E-E-A-T Signals

In addition to prioritizing content from top-ranking pages, Google AI overviews tend to favor authoritative and well-established sources.

A recent study reported that sources with the highest mentions in AI overviews include industry leaders such as YouTube, LinkedIn, Healthline, Forbes, Verywell Mind, WebMD, and Wikipedia.

This reinforces one key takeaway: E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) remains a major factor in SEO and AI-driven search. Here are ways you can strengthen your E-E-A-T signals:

• Demonstrate expertise: Feature well-credentialed authors, provide detailed author bios, and highlight industry experience.
• Cite authoritative sources: Link to trusted publications such as Forbes, and government or academic research.
• Showcase trustworthiness: Highlight awards, certifications, media mentions, and partnerships with reputable organizations.
• Build brand authority: Get featured in authoritative industry sites, contribute to thought leadership platforms, and maintain a strong presence on LinkedIn and YouTube.

Step #6: Use Data and Statistics to Boost Authority

AI overviews favor content backed by verifiable data. Including recent, high-authority statistics enhances credibility and increases the likelihood of being referenced. Here are some best practices:

• Include data from reliable sources: Use statistics from the last 2-3 years from reputable organizations and government reports.
• Ensure proper citation: Always attribute data to its original source to improve trustworthiness and authority.
• Format statistics for AI extraction:
  
  • Don’t: "Marketers report content personalization is beneficial."
  • Do: "72% of marketers say content personalization increases engagement (Source: HubSpot, 2023)."
• Use structured lists or tables: Presenting data in clear, structured formats makes it easier for AI to extract and summarize key insights.

Step #7: Optimize Content for Passage Indexing

Google’s AI extracts information from specific passages rather than entire pages, making well-structured content more likely to appear in AI overviews. Optimizing for passage indexing helps individual sections of your content rank in search results. Here’s how to do it effectively:

• Use H2/H3 headers as standalone questions:
  
  • Don’t: "Benefits of CRM Software"
  • Do: "How Does CRM Software Improve Customer Retention?"
• Start sections with direct answers: Provide a clear, concise answer immediately before expanding on details.
• Break content into 200-300 word blocks: AI favors shorter, structured sections that are easier to parse and extract insights from.
• Use bullet points and lists: Structured formatting helps AI quickly identify key information.
• Ensure topic clarity within sections: Each passage should be self-contained, covering one specific subtopic to maximize search relevance.

Step #8: Optimize Visuals for AI Indexing

AI overviews also process images and videos. Optimizing these elements enhances your ranking potential and improves visibility in search results. Here are some best practices:

• Use descriptive alt-text: Ensure AI understands your images by providing informative descriptions.
  
  • Don’t: "Employee retention graph"
  • Do: "Graph showing 30% higher retention rates after implementing recognition programs."
• Implement VideoObject schema: If you’re using video content, add schema markup to improve searchability and help AI recognize your video as a valuable source.
• Optimize image file names: Use keyword-rich, descriptive filenames (e.g., employee-retention-rates-2024.png instead of image1.png).
• Compress images for faster loading: AI favors pages with quick load times, so use tools like TinyPNG or Squoosh to optimize images.
• Add captions and context: Place images and videos near relevant text with clear captions to reinforce their relevance.

Step #9: Secure Mentions in AI-Priority Sources

Getting cited by AI-favored sources significantly boosts your content’s authority and increases the likelihood of appearing in AI overviews. AI prioritizes trustworthy and widely referenced content, so building citations in authoritative sources is key.

Here are some strategies to try:

• Get featured on Wikipedia: Contribute well-researched citations to relevant Wikipedia pages or get your brand mentioned through reputable third-party references.
• Earn mentions in industry reports: Publications from sources like Gartner, Forrester, and McKinsey carry significant weight in AI-driven search results.
• Secure press coverage in news outlets: High-authority media sites like TechCrunch, Reuters, and Bloomberg often serve as AI-referenced sources.
• Leverage guest posting and expert contributions: Write authoritative content for industry-leading blogs, journals, and forums to build credibility.
• Repurpose content for high-engagement platforms: Sharing insights on LinkedIn, Medium, and Substack can signal topical authority and increase your content’s reach.

Step #10: Monitor and Adapt to AI Trends

SEO is constantly evolving, and AI overviews will continue to reshape search dynamics.

To maintain long-term success, it's essential to stay informed about the latest developments and continuously optimize your strategies.

• Follow industry-leading SEO news sources, Google updates, and research reports to understand emerging changes in AI-driven search.
• Use tools like Google Search Console, SEMrush, and Ahrefs to track SEO performance and how your content performs in AI-driven search results.
• Regularly check if your content is featured in AI overviews and adjust your optimization efforts accordingly.
• Adapt your approach by analyzing which content formats, structures, and topics perform best in AI rankings.
• Test different optimization techniques, including schema markup, content structuring, and engagement strategies, to improve content visibility.

How to Track and Measure Your AI Overview Visibility

Tracking your presence in AI Overviews is essential for understanding your strategy's effectiveness and making data-driven adjustments. Unlike traditional SERP tracking, AI Overview monitoring requires specialized approaches.

Set Up AI Overview Tracking Systems

Traditional rank tracking tools don't capture AI Overview appearances, so you'll need a multi-faceted approach:

• Manual SERP monitoring: Schedule weekly checks of your top 10-15 keywords using incognito mode across different devices and locations
• Screenshot documentation: Create a visual record of when your content appears in AI Overviews to track citation frequency
• Traffic pattern analysis: Look for sudden changes in organic traffic that correlate with AI Overview implementations or updates
• Specialized tools: Use emerging AI Overview tracking tools like SearchPilot and SISTRIX that are beginning to offer AI Overview monitoring features

Key Metrics to Monitor

Focus on these specific metrics to gauge AI Overview performance:

Implement a Feedback Loop

Create a systematic process to apply insights from your tracking:

1. Document baseline metrics before implementing AI Overview optimizations
2. Track changes bi-weekly after implementing new strategies
3. Compare performance across different content types and topics
4. Identify patterns in which content formats and structures get cited most frequently
5. Refine your approach based on real-world performance data

Real-World Examples and Case Studies

Meegle's LLM Content Architecture Transformation

Meegle, a workflow management platform, was virtually invisible to AI systems despite having solid product content. This was our strategic approach to their AI search optimization:

1. LLM-optimized content structure: We rebuilt blog layouts to align with how language models parse information—implementing clear hierarchies, topic clustering around project and product management, and structured data that AI systems could easily extract and reference.
2. Authority concentration strategy: Instead of scattered content, we focused entirely on two core topics with deep, comprehensive coverage using the formula "How to Implement [Methodology] in [Industry]"—creating the concentrated expertise that AI systems recognize and preferentially cite.
3. Technical foundation for AI discovery: We resolved site health issues from 50 to 95, eliminated keyword cannibalization, and implemented proper hreflang tags to give both search engines and AI crawlers clear signals about content relevance and authority.

Results: Within 9 months, Meegle achieved a 134% increase in AI citations (Google AI Overviews and ChatGPT), grew blog traffic by 1,429%, and expanded from virtually no AI visibility to consistent appearances in AI-generated responses for project management queries.

Read the full case study here.

Signeasy's Existing Asset Optimization for AI Discovery

Signeasy, an eSignature solution with strong traditional SEO, wasn't appearing in ChatGPT or Perplexity recommendations. Here’s how we approached their challenges:

1. Strategic page prioritization: Rather than building from scratch, we optimized 30 existing high-traffic pages by adding conversational Q&A formats, first-fold summaries, and comprehensive FAQ sections—packaging content in the formats LLMs prefer when sourcing responses.
2. LLM.txt implementation: We created a comprehensive LLM.txt file containing all key information about Signeasy's products, positioning, and solutions—providing AI systems with a single authoritative source to consume and reference.
3. Off-page citation building: We systematically increased online mentions through strategic forum engagement on Reddit, Quora, and LinkedIn, plus targeted backlink campaigns to signal broader internet presence that LLMs prioritize when generating recommendations.

Results: In just 6 months, Signeasy grew LLM traffic from 20 to 800 monthly sessions (3,650% increase), expanded AI visibility from 3 to 55+ pages, and generated 98 qualified leads directly from AI platform referrals.

Read the full case study here.

How TripleDart Can Help You Dominate AI Overviews

Ranking in AI overviews is essential for maintaining search visibility and driving traffic. From optimizing content for NLP to strengthening E-E-A-T signals, every detail matters.

At TripleDart, we help brands stay ahead with expert-driven content strategies tailored for AI-driven search. Our proven methods have helped companies like Rezolve.ai achieve a 99% increase in organic traffic and a 136% boost in leads. With AI-friendly structuring, data-backed optimization, and industry-leading insights, we position your brand for success.

Want to secure your spot in AI overviews and drive more traffic? Partner with TripleDart today.

Frequently Asked Questions

What is Google Gemini?

Google Gemini is one of Google's most advanced AI models that powers AI Overviews. Unlike earlier models, Gemini is multimodal—it can process text, images, code, and audio simultaneously. For SEO purposes, this means Gemini can better understand the context and relevance of your content across different formats. It's designed to provide more nuanced, conversational responses that better match user intent, making content quality and contextual relevance even more important for ranking.

Can AI Overviews affect my SEO results?

Yes, AI Overviews significantly impact SEO results in several ways. They can reduce click-through rates for traditional organic listings by providing answers directly in search results. However, they also create new opportunities—content cited in AI Overviews often sees increased brand visibility and authority. The key impact is on traffic distribution: top-cited sources may gain traffic, while non-cited pages typically experience declining visibility. This makes optimization for AI citation increasingly important for maintaining search visibility.

Which funnel stage do AI Overviews target?

AI Overviews primarily target top and middle-funnel queries—informational and consideration stage questions. They're most commonly triggered for "how to," "what is," and comparison queries where users seek information rather than immediate transactions. For SaaS companies, this means AI Overviews are particularly influential in the awareness and evaluation stages of your buyer's journey. Bottom-funnel, transactional queries (like "buy X software" or "X pricing") typically still display traditional search results.

How do I prevent my content from being cited?

If you prefer your content not be used in AI Overviews, you can implement the max-snippet:0 directive in your robots.txt file or as a meta tag. However, this approach comes with significant trade-offs—it also prevents your content from appearing in traditional featured snippets and may reduce overall visibility. Most SEO experts recommend embracing AI Overviews rather than blocking them, as the potential visibility benefits typically outweigh the drawbacks for most businesses.

Will AI Overviews go away?

AI Overviews represent a change in search, not a temporary feature. While their specific implementation may evolve, the integration of AI-generated answers into search results is aligned with Google's long-term strategy of providing direct answers to user queries. Rather than hoping they'll disappear, businesses should adapt their strategies to thrive in this new search paradigm. Google has invested heavily in this technology, indicating a long-term commitment to AI-enhanced search experiences.