How to Rank in AI Overviews (Even If You Are Not in TOP 10)

AI Overviews, formerly part of Google’s Search Generative Experience (SGE) are reshaping SEO. These AI-generated summaries pull answers directly from websites, bypassing traditional top-10 rankings. While this may reduce visibility for many publishers, it also introduces new opportunities for those who know how to rank in AI Overviews.

This comprehensive listicle outlines important steps, each with a clear explanation, practical instructions, and research-backed evidence, to help your content rank in AI Overviews.

How to rank in AI Overviews

If you’re wondering how to rank in AI Overviews, the key lies in aligning your content with how Google’s AI selects and summarizes trustworthy sources. In the steps below, we’ll break down exactly how to rank in AI Overviews using proven techniques around structure, authority, and optimization. This guide will help you overcome one of the main on-page SEO problems people are facing today!

1. Understand What AI Overviews Actually Are

AI Overviews are Google’s AI-generated summaries that appear at the top of search results for complex or multi-intent queries. They work by pulling and synthesizing information from multiple trusted web pages to create a concise, direct answer, essentially acting like a supercharged featured snippet. Think of it as Google’s way of “reading the internet for you,” and showing the best collective answer instantly, without needing to click through multiple sites.

The Good Things About AI Overviews

The Bad Things About AI Overviews

How Does AI Visibility Optimization Differ from Traditional SEO?

While traditional SEO focuses on ranking higher in the standard 10 blue links, AI visibility optimization is about being cited or summarized by generative AI systems like Google’s AI Overviews. The strategies overlap in many areas, but there are key differences in what matters most, and how success is measured.

Factor	Traditional SEO	AI Visibility Optimization
Primary Goal	Ranking in SERPs (positions 1–10)	Being cited or summarized in AI Overviews
Success Metric	Click-through rate (CTR), ranking position	Citation inclusion, AI coverage visibility
Keyword Strategy	Focused on head terms + keyword difficulty	Focused on long-tail, conversational, and question-based queries
Content Structure	Optimized for human readability and search bots	Structured for AI parsing (summary-first, bullet points, semantic hierarchy)
Formatting	Scannable text, good UX	Prioritizes dense, factual chunks with headings, lists, and tables
E-E-A-T	Important but can be boosted by links and authority	Critical—AI relies heavily on perceived trust, credentials, and real experience
Update Frequency	Regular updates beneficial, but not always essential	Frequent updates are crucial to be eligible for real-time AI inclusion
Content Depth	Depth matters, but breadth across a topic may not be required	Requires deep topical clusters and clear content relationships
Technical SEO	Page speed, crawlability, mobile optimization	Equally important, especially for AI’s ability to parse quickly and accurately
Schema Markup	Improves rich result eligibility	Helps AI interpret content accurately and identify answer-friendly content
Link Building	Heavily relied on for authority and ranking	Less about quantity, more about context and citations from trustworthy sources
Featured Snippets / PAA	Bonus visibility features	Often overlap with content chosen for AI Overviews
Voice & Tone	Formal or SEO-optimized language often used	Natural, human, conversational tone preferred for AI summarization
Tools Used	Semrush, Ahrefs, GSC, Screaming Frog	Same tools + AI monitoring tools (Surfer AI Tracker, Thruuu, incognito testing)

To succeed, it’s essential to understand how to rank in AI Overviews & in traditional SEO, which prioritizes clear, credible, and well-structured content over conventional authority signals alone.

2. Focus on Factual, Structured, and Concise Content

Ranking in AI overviews prioritizes content that is easy for algorithms to parse and understand, which means structure and clarity matter as much as accuracy. The AI scans for well-organized sections, clean formatting, and direct answers; it’s not looking for fluff or word count, but for efficiency and precision.

Whether you’re explaining a process, defining a concept, or listing recommendations, presenting your information in a scannable, factual, and logically organized way dramatically increases your chances of being cited in AI-generated summaries.

The TL;DR summary box in this blog post about the June 2025 Google Core Update is a textbook example of how to structure content for AI Overviews. It uses a strong heading, bullet points, and covers the key facts in under 100 words. This format makes it easy for Google’s AI to extract and summarize accurately.

3. Optimize for Long-Tail, Question-Based Queries

Long-tail keywords are longer, more specific search phrases that usually contain four or more words—think “best podcast mic for under $100” instead of just “podcast mic.” These often come in the form of natural questions, like “how do I start a podcast with no money?” and tend to reflect clearer, more actionable user intent. Since AI Overviews are typically triggered by these precise, intent-driven queries, optimizing for them increases your chances of being pulled into the summary box. By the end, if you are learning how to respond to long-tails, you are automatically learning how to optimize for AI Overviews.

Steps to take:

1. Use tools like AnswerThePublic, AlsoAsked, and Google’s People Also Ask to gather real user-generated question data.
2. Add those questions as H2 or H3 subheadings throughout your article.
3. Immediately follow each question with a direct, 1–2 sentence answer, then expand on it if necessary.
4. Use natural language that mirrors how real people ask these questions.
5. Group related questions into mini-FAQ sections to increase topic coverage density.

4. Strengthen E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)

Google prioritizes content from trusted sources, and E-E-A-T signals help convey that trust. Pages with real authors, credentials, sources, and first-hand insights are more likely to be cited. Since trust and credibility are critical factors in how to rank in AI Overviews, strengthening your E-E-A-T isn’t optional—it’s foundational.

Steps to take:

• Add detailed author bios with credentials and experience.
• Cite trustworthy sources like .gov, .edu, and peer-reviewed research.
• Include update logs and editorial standards.

5. Use Schema Markup & Structured Data

Schema markup is a type of structured data code that helps search engines understand the meaning, context, and structure of your content. It doesn’t directly impact rankings, but it plays a huge role in helping Google’s AI extract, summarize, and cite your content in features like AI Overviews, featured snippets, and rich results. As AI-powered search becomes more dominant, structured data acts like a blueprint, enabling these systems to interpret your content accurately and confidently.

Recommended Schema Types by Page Type

Page Type	Recommended Schema Types
Blog Post / Article	Article, Breadcrumb, Author, WebPage
How-To Guide	HowTo, Article, ImageObject
Product Page	Product, Review, Offer, AggregateRating
FAQ Page	FAQPage, WebPage, Breadcrumb
Local Business Page	LocalBusiness, Organization, OpeningHoursSpecification
Author Bio or Profile	Person, SameAs, Organization
Review or Comparison Post	Review, ItemList, Rating, AggregateRating

How to Implement Schema Using Schema Pro (WordPress Plugin):

1. Install and activate Schema Pro from the WordPress plugin repository or your account dashboard (if you purchased the premium version).
2. Go to WordPress Dashboard → Settings → Schema Pro, and click “Add New” to create a new schema type.
3. Choose your schema type based on the content (e.g., Article, HowTo, Product, FAQPage).
4. Assign the schema to specific content types or categories (e.g., posts, pages, or specific blog tags).
5. Map the fields from the schema to existing content using dynamic data (e.g., post title → headline, post content → description).
6. Save your settings and validate the structured data using Google’s Rich Results Test.
7. Monitor how your schema performs in Google Search Console under the “Enhancements” tab.

6. Be the “Source of Truth” on a Narrow Topic

AI Overviews favor authoritative, in-depth content that covers a topic comprehensively. In this era of AI-Powered Search, rather than being a generalist, dominate a niche and build deep topical clusters. Internal linking and coverage breadth signal authority.

Steps to take:

• Create pillar pages supported by 10+ related articles.
• Link internally between all content in the cluster.
• Use topic modeling to ensure depth.

This diagram illustrates how building content in a clear hierarchy, Top Pillar → Pillar → Subpillar → Sub-subpillar, helps Google understand the topical structure of your site. By linking content this way, you show depth, organization, and authority on a subject, which boosts your chances of ranking in AI Overviews.

7. Optimize for Featured Snippets and “People Also Ask”

Featured Snippets and People Also Ask (PAA) boxes often share the same content sources as AI Overviews, meaning there’s significant overlap in what Google chooses to display across these features. If you’re already optimizing your content to appear in snippets by using clear headers, concise answers, and structured formatting, you’re also ranking in AI Overview visibility. In short, ranking for one improves your chances of ranking for all, since they rely on similar content signals and formatting.

8. Update and Refresh Content Regularly

Google favors content freshness, especially for topics where information evolves rapidly, like health, tech, SEO, and finance. In the context of Google AI Overviews, this preference becomes even more critical, as Google’s AI is designed to prioritize sources that reflect current information, trends, and updates. Regular updates signal that your site is actively maintained, trustworthy, and aligned with E-E-A-T principles—all of which are essential for being selected as a reliable source in AI-generated summaries.

To stay competitive, review and update core content every 3–6 months, and more frequently for fast-moving niches. Refresh outdated stats, add new sections or FAQs based on current user queries, replace broken or outdated links, and clearly display the last updated date at the top of each post. This not only helps with organic rankings but also increases your content’s eligibility to be cited in AI Overviews—where freshness, clarity, and authority are top priorities.

9. Use Authoritative External Sources (and Get Cited Back)

Google’s AI systems don’t just look at what your content says; they look at who you associate with. Linking out to credible, well-known sources (like government sites, academic journals, or industry leaders) boosts your content’s trustworthiness, which is a core factor in both E-E-A-T and AI Overview inclusion. Just as important is getting cited yourself: when authoritative sites link back to your content, it reinforces your domain’s expertise and signals to Google that your content is valuable enough to be referenced by others.

10. Optimize for Mobile and Fast Page Load

Google’s AI systems, including those powering AI Overviews, heavily favor websites that are fast, mobile-optimized, and technically sound. If your page loads slowly, is hard to navigate on mobile, or fails to meet Core Web Vitals, it’s less likely to be crawled efficiently or selected as a trusted source. Since AI Overviews aim to deliver quick, reliable answers, Google prefers pages that offer a smooth user experience—especially on mobile devices, where most searches happen.

Things You Can Do to Improve Speed and Mobile Experience:

• Use responsive design to ensure your site works seamlessly across all screen sizes.
• Compress images with tools like TinyPNG or WebP format to reduce load times.
• Eliminate render-blocking JavaScript and limit the use of heavy third-party scripts.
• Enable lazy loading for images and videos to defer loading until they’re needed.
• Improve Core Web Vitals: aim for LCP < 2.5s, INP < 200ms, CLS < 0.1.
• Use a CDN (Content Delivery Network) like Cloudflare to serve content faster worldwide.
• Test performance regularly using Google PageSpeed Insights or Lighthouse.

12. Write in Natural, Human Language

Google’s AI Overviews prioritize content that mirrors how real people ask and answer questions. Writing in a natural, conversational tone makes your content easier for both users and AI to understand, interpret, and extract. Overly technical, robotic, or keyword-stuffed writing tends to get overlooked in favor of content that feels human, helpful, and contextually relevant.

Why This Matters:

• It aligns with how people search, especially with longer, voice-style queries.
• Google’s LLM (like Gemini) is trained on human language patterns, so humanlike writing boosts comprehension and summarization accuracy.
• It supports E-E-A-T by reflecting authentic experience and communication, not keyword manipulation.

How to Write More Naturally:

• Use simple, everyday language, write like you speak.
• Answer questions directly and conversationally, especially in intros and FAQs.
• Avoid keyword stuffing, focus on intent, not repetition.
• Use contractions (like you’re, don’t, it’s) to reflect human tone.
• Add personal touches or real-world context where appropriate (“Based on our experience…”).

Can anyone rank in AI overviews?

Yes, absolutely anyone can rank in AI Overviews, regardless of site size or domain authority. AI Overviews are designed to pull the best, clearest, and most relevant answers from across the web—not just from big-name publishers. Whether you’re a solo blogger, a niche affiliate site, or a local business, if your content is well-structured, trustworthy, and answers specific queries with clarity, you can be cited.

From an SEO expert’s perspective, this marks a shift away from relying solely on traditional authority metrics like backlinks or domain age. Instead, Google’s AI now prioritizes topical relevance, clarity, and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), all of which are achievable for smaller, well-optimized sites.

Experts have observed that many AI Overview citations come from niche blogs, newer sites, or pages ranking outside the top 10 organically, proving that AI isn’t just favoring the usual giants.

If I’m optimizing for AI Overviews, am I also optimizing to be cited by ChatGPT and other LLMs?

Yes. When you optimize for AI Overviews, you’re also creating content that’s highly readable, structured, and informative, qualities that large language models like ChatGPT prioritize when generating answers. These models pull from a wide range of high-quality, web-based sources, and they reward clarity, concise formatting, and trustworthy expertise.

So by writing for Google’s AI systems, you’re also positioning yourself to be referenced by LLMs across different platforms.

Conclusion

Google AI Overviews may seem intimidating, but they present a powerful opportunity for visibility, if you align your content strategically. By implementing these 11 steps, grounded in proven frameworks like E-E-A-T and structured content, you’ll increase your odds of getting featured. Don’t chase the algorithm, serve the user with trustworthy, clear, and comprehensive content.