How to Rank in AI Overviews

|
Updated:
Mar 26, 2025
Published:
Mar 26, 2025
How to Rank in AI Overviews

Contents

Get Your
Free Website Audit

Limited Time Offer

Key Takeaways

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.

 AI overview for artificial intelligence in Google search results
AI overview in Google search results

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.

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:

Summarized content in Google AI overview for artificial intelligence
Content summarization in Google

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.

AI overviews source attribution on desktop screen
Source attribution in AI overviews

And within an expandable section on mobile devices.

AI overviews source attribution on mobile
Expandable source attribution in AI overviews

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 prioritize. 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.
Bar graph displaying search intent share: AIO keywords
Source

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.

Google-friendly summary for AI overviews on TripleDart
Example of a Google-friendly summary

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 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.

Manoj Palanikumar
Manoj, with over 9 years of experience, has had the privilege of working with and advising more than 50 B2B SaaS brands. Specializing in organic growth strategies, Manoj has consistently driven predictable pipelines and revenue for his clients. As a growth advisor, he has helped B2B brands achieve sustainable, long-term growth through SEO, content, and organic strategies. His expertise has been sought by renowned brands such as Zoho, Glean, Helpshift, Monograph, HowNow, and many others, enhancing their organic acquisition and revenue.

We'd Love to Work with You!

Join 70+ successful B2B SaaS companies on the path to achieving T2D3 with our SaaS marketing services.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.