Google AI Overviews now appear on 47% of all Google searches. When they do, clicks to the #1 organic result drop by 58%. But brands that get cited inside those AI Overviews earn 35% more organic clicks than brands that don't.
That's the split. AI Overviews are simultaneously the biggest threat and the biggest opportunity in search marketing right now. If you're optimising for traditional Google rankings but ignoring AI Overviews, you're watching your click-through rates erode without capturing the upside. If you're optimising for AI Overviews specifically, you're tapping into a system that 1.5 billion people use every month and that actively amplifies the brands it cites.
This guide covers exactly how AI Overviews work, how they select sources, what the CTR impact actually looks like (with data), and what you need to do to appear in them.
What Google AI Overviews are and how they work, which queries trigger them, how they affect click-through rates, what content structure they prefer, how structured data helps, a step-by-step optimisation plan, and how to track whether you're appearing in them. Everything backed by research from Ahrefs, Seer Interactive, Google, and Semrush.
What are Google AI Overviews?
Google AI Overviews are AI-generated summaries that appear at the top of Google search results for certain queries. Instead of showing you a list of blue links and letting you click through to find the answer, Google synthesises information from multiple sources and presents a summary directly in the search results, with citations linking to the sources it used.
Google announced that AI Overviews serve 1.5 billion users monthly across 200+ countries (Sundar Pichai, Q1 2025 earnings call). They were initially known as the Search Generative Experience (SGE) during testing, and have been rolling out globally since mid-2024.
The important distinction: AI Overviews are not the same as featured snippets. Featured snippets pull a single block of text from one source. AI Overviews synthesise information from multiple sources, generate an original summary, and cite each source with a link. The experience is closer to asking ChatGPT a question than to seeing a traditional Google result.
For businesses, this changes the game. The AI Overview sits above all organic results. If a user gets their answer from the overview and doesn't scroll down, your traditional #1 ranking becomes invisible. But if your brand is cited inside the overview, you get visibility that traditional rankings alone can't provide.
Which queries trigger Google AI Overviews?
Not every Google search generates an AI Overview. Ahrefs' 300,000-keyword study found that 47% of Google searches now include AI Overviews, but the distribution varies significantly by query type.
AI Overviews appear most frequently on informational queries: "how to", "what is", "why does", "best way to", and comparison queries. They're less common on navigational queries (where someone is searching for a specific website) and transactional queries (where someone is ready to buy). They also appear less on queries where Google's index doesn't have enough high-quality sources to synthesise a confident answer.
The queries that trigger AI Overviews most often are the same queries where your potential customers are doing research. "What is answer engine optimisation?", "best accounting software for small business", "how to choose a financial advisor in Sydney". These are exactly the queries where you want to be visible, and exactly the queries where AI Overviews are now sitting above your organic rankings.
Google's own guidance, published on their Search Central blog, states that the same quality signals that help content rank in traditional search also help it appear in AI Overviews. But there are additional factors specific to AI Overview citation that go beyond traditional SEO.
How do AI Overviews affect click-through rates?
This is where most businesses need to pay attention. The data on CTR impact is the clearest signal that AI Overviews are reshaping search marketing.
Seer Interactive's CTR study (Sep 2025) is the most comprehensive analysis available. On queries where AI Overviews appear, organic click-through rates dropped 61%, from 1.76% to 0.61%. Paid click-through rates dropped 68%, from 19.7% to 6.34%. The zero-click rate on these queries hit 83%, meaning 83% of users got their answer from the AI Overview without clicking through to any website.
| Metric | Without AI Overview | With AI Overview | Change |
|---|---|---|---|
| Organic CTR | 1.76% | 0.61% | -61% |
| Paid CTR | 19.7% | 6.34% | -68% |
| Zero-click rate | ~60% | 83% | +23 points |
| Organic clicks (cited brands) | Baseline | +35% | Positive lift |
| Paid clicks (cited brands) | Baseline | +91% | Positive lift |
But here's the critical finding that changes the narrative: brands that were cited within AI Overviews earned 35% more organic clicks and 91% more paid clicks compared to non-cited brands (Seer Interactive, same study). Being in the AI Overview doesn't just give you a mention. It creates a halo effect that amplifies your performance across the entire results page.
Ahrefs confirmed this pattern from a different angle. Their study of 300,000 keywords (Dec 2023 vs Dec 2025) found that position-one content loses 58% of clicks when AI Overviews are present. But content that is cited within the AI Overview doesn't suffer the same decline.
The takeaway is straightforward: if you're not cited in AI Overviews, they cannibalise your traffic. If you are cited, they amplify it. The gap between "optimised for AI Overviews" and "not optimised" is widening every quarter.
Bain & Company found that 80% of consumers rely on AI-generated results for at least 40% of their searches. This isn't an early-adopter behaviour anymore. It's mainstream. The 83% zero-click rate on AI Overview queries will only increase as Google expands AI Overviews to more query types and more countries. Optimising to be cited inside those overviews is not optional.
What content structure do AI Overviews prefer?
Google's AI Overview system pulls from content that directly answers the query in a clear, structured, authoritative way. The content principles overlap significantly with what works for ChatGPT and Perplexity, but there are Google-specific nuances.
Lead with direct answers. The first paragraph under each H2 should directly answer the question in the heading. AI Overviews extract from content that puts the answer upfront, not content that builds to a conclusion. A study by Kevin Indig found that 44.2% of AI citations come from the first 30% of a page's content. Google's AI Overview system follows a similar extraction pattern.
Use question-format headings. H2 headings that match the questions people search for give the AI Overview system clear signals about what your content covers. "How do AI Overviews affect click-through rates?" is better than "CTR Impact Analysis." These headings also align with People Also Ask boxes, which frequently appear alongside AI Overviews.
Provide comprehensive but concise coverage. Google's AI Overviews pull from content that covers a topic thoroughly without being bloated. Looking at the SERP: Moz ranks with 2,285 words, Semrush with 3,619 words, and Google's own guide is 13,391 words (though that's exceptional). The sweet spot for most topics is 2,500-4,000 words of substantive, well-structured content.
Include specific data and citations. AI Overviews prefer content that backs claims with specific data points, named sources, and verifiable facts. Vague statements like "many businesses struggle with visibility" get passed over in favour of specific claims like "47% of Google searches now include AI Overviews (Ahrefs, 2025)." Factual density is a citation signal.
Structure content for extraction. Use clear heading hierarchies, short focused paragraphs (3-5 sentences), tables for comparison data, and numbered or ordered steps for processes. The easier your content is for Google to parse and extract, the more likely it is to be cited.
How does structured data help with AI Overviews?
Structured data (schema markup) tells Google what your content is about in a machine-readable format. For traditional SEO, it helps earn rich snippets. For AI Overviews, it helps Google's AI system understand your content structure, identify key information, and decide whether to cite you.
The most important schema types for AI Overview optimisation:
FAQ Schema. If your page includes frequently asked questions (like the FAQ section at the bottom of this guide), FAQ schema marks each question and answer explicitly. This makes it trivially easy for AI Overviews to extract your Q&A content. It also helps you appear in People Also Ask boxes.
Article Schema. Tells Google that your page is an article, who wrote it, when it was published, and when it was last updated. The "dateModified" field is particularly important: AI systems across the board favour recent content, and the last-modified date in your Article schema is a primary freshness signal.
Organisation Schema. Establishes your brand as a known entity. When Google's AI system can match your content to a verified organisation with structured data, it has higher confidence in citing you as a source.
HowTo Schema. For process-based content, HowTo schema breaks your instructions into discrete steps. AI Overviews frequently pull from HowTo-structured content when answering "how to" queries.
Author Schema (Person). Linking content to a verified author with credentials helps establish E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). This is especially important for YMYL (Your Money or Your Life) topics where Google applies extra scrutiny.
Implementation is straightforward: add JSON-LD structured data to the <head> of your pages. If you're on WordPress, plugins like Yoast or RankMath handle this. If you're on a custom CMS, your developer can add the JSON-LD directly.
What is a step-by-step plan to optimise for AI Overviews?
Here's a practical plan, ordered by impact and effort.
Week 1: Audit your current AI Overview visibility.
Search for 20-30 of your target keywords on Google and check whether AI Overviews appear. For each one that does, note: does the AI Overview cite your content? Which competitors are cited? What content type is being cited (guides, FAQ pages, comparison articles)? This audit tells you exactly where the gaps are.
Week 2-3: Restructure your top 10 pages.
Take the pages you want to appear in AI Overviews and restructure them. Add question-format H2 headings that match the queries triggering AI Overviews. Rewrite the first paragraph under each heading to directly answer the question. Add specific data points, named sources, and verifiable claims. Update the "last modified" date.
Week 3-4: Implement structured data.
Add FAQ schema to every page with a FAQ section. Add Article schema with proper author, datePublished, and dateModified fields. Add Organisation schema to your homepage. If you have process-based content, add HowTo schema. Validate all markup using Google's Rich Results Test.
Month 2: Build citation-worthy authority.
The same authority-building activities that help you get cited in ChatGPT and Perplexity also help with AI Overviews. A Yext study of 6.8 million AI citations found that 86% of AI citations come from brand-managed sources. Get your brand into 10-15 relevant industry directories. Pursue 2-3 editorial mentions through digital PR. Each independent source that validates your brand makes Google's AI system more likely to cite you.
Month 3: Measure, refresh, repeat.
Re-run your AI Overview audit. Compare your visibility now versus Month 1. Set up a monthly content refresh schedule for your top-priority pages. Remember: freshness matters significantly. Content updated within the last 30 days gets cited more frequently across all AI systems, including Google's.
How do you track whether you're appearing in AI Overviews?
Google Search Console doesn't yet have a dedicated AI Overview report, though there are indications Google is working on one. In the meantime, here's how to track your AI Overview visibility.
Manual monitoring. The most reliable method right now. Search your target keywords on Google and check whether AI Overviews appear and whether you're cited. Use an incognito window to avoid personalisation. Document the results in a spreadsheet and repeat monthly.
Third-party tools. Several platforms now track AI Overview appearances. Semrush, Ahrefs, and Moz all include AI Overview indicators in their SERP tracking. Dedicated AI visibility tools like Otterly.ai, Profound, and Peec AI track your citation presence across AI Overviews alongside ChatGPT and Perplexity.
Google Search Console signals. While there's no dedicated report, you can look for indirect signals. If you see a sudden drop in impressions or clicks for a keyword where you still rank well, it's likely that an AI Overview is absorbing the clicks. Conversely, if you see an unexpected traffic increase on certain pages, it could be an AI Overview citation driving traffic your way.
At Omni Eclipse, we track AI Overview visibility as part of our broader AI visibility audits across all platforms. For a full breakdown of how we measure AI search performance, see our AI visibility guide.
“Brands cited in AI Overviews earn 35% more organic clicks and 91% more paid clicks than non-cited brands. The impact of being cited goes far beyond the AI Overview itself.
How do AI Overviews compare to ChatGPT and Perplexity?
Google AI Overviews sit at the intersection of traditional search and AI search. They use Google's own search index (unlike ChatGPT, which uses Bing). They appear within the Google search experience (unlike Perplexity, which is a standalone platform). And they affect your existing Google rankings directly (which neither ChatGPT nor Perplexity do).
| Google AI Overviews | ChatGPT | Perplexity | |
|---|---|---|---|
| Index used | Google search index | Training data + Bing | Own crawler + Bing |
| User base | 1.5B monthly | 800M weekly | 45M monthly |
| Citation style | Inline links in summary | Footnote citations (browsing mode) | Numbered footnotes on every answer |
| Impact on existing SEO | Direct: affects your Google CTR | Indirect: separate channel | Indirect: separate channel |
| Freshness | Important | Important | Very important (real-time) |
| Schema dependency | High: schema helps significantly | Moderate | Moderate |
| Optimisation overlap | ~85% overlap with SEO | ~80% overlap with SEO | ~75% overlap with SEO |
The practical implication: optimising for AI Overviews should be your first AEO priority if you're already doing SEO. You're already in Google's ecosystem. You're already creating content for Google's index. The incremental effort to optimise specifically for AI Overview citation is smaller than the effort to build visibility on ChatGPT or Perplexity from scratch, and the impact is immediate because it directly affects your existing Google traffic.
Once your AI Overview optimisation is in place, extend the same principles to ChatGPT and Perplexity. The foundational work (content structure, authority, structured data) carries across. The platform-specific adjustments (Bing indexing for ChatGPT, PerplexityBot access for Perplexity) are incremental. For the full breakdown of how to approach each platform, see our guides on how to rank in ChatGPT and how to rank in Perplexity.
For a broader look at how AEO and SEO work together, see our comparison guide.
Are AI Overviews helping or hurting your traffic?
Book a free AI Visibility Audit. We'll show you which of your keywords have AI Overviews, whether you're cited in them, and what to do to capture the 35% click uplift.
Book Your AI Visibility AuditFrequently Asked Questions
Can you pay to appear in Google AI Overviews?
Not directly. Google AI Overviews are organic, meaning they're generated based on content quality, relevance, and authority. You can't buy placement in the AI Overview itself. However, Google does show ads alongside AI Overviews, and brands cited in AI Overviews see a 91% increase in paid click-through rates (Seer Interactive). So while you can't buy your way into the overview, being in it amplifies the effectiveness of your paid campaigns.
Do AI Overviews appear on every Google search?
No. Currently about 47% of Google searches globally trigger an AI Overview (Ahrefs, 2025). They appear most frequently on informational and comparative queries ("how to", "what is", "best X for Y") and less often on navigational or directly transactional queries. Google is expanding their reach, so the percentage will likely increase over time.
Will AI Overviews replace traditional Google rankings?
Traditional organic rankings still appear below AI Overviews and still drive significant traffic. Google hasn't indicated any plans to remove organic results. However, the click share that organic results receive on queries with AI Overviews is significantly lower (61% drop per Seer Interactive). The practical approach is to optimise for both: maintain your organic rankings through SEO, and optimise for AI Overview citation through AEO.
How quickly can I start appearing in AI Overviews?
It depends on your starting point. If you already rank well for a keyword and restructure your content for AI Overview citation (direct answers, structured data, question-format headings), you could see results within a few weeks. Google recrawls frequently ranking pages regularly. If you're building from scratch, expect 2-3 months of content and authority building before consistent AI Overview citations appear.
What is the difference between AI Overviews and featured snippets?
Featured snippets pull a single block of text from one source. AI Overviews synthesise information from multiple sources and generate an original summary with citations to each source. Featured snippets have existed since 2014. AI Overviews began rolling out in 2024 and are powered by Google's Gemini AI model. You can appear in both, and the optimisation strategies overlap, but AI Overviews cite multiple sources while featured snippets feature only one.
Ashur Homa
Built and scaled a digital brand to $100M+ in sales with zero ad spend. Has helped businesses generate millions through AI go-to-market strategy. Leads growth at Omni Eclipse.
Connect on LinkedIn
