LLM Visibility and AI Search Statistics: 80+ Stats
Discover 80+ LLM visibility and AI search statistics in this detailed guide. Stay up to date on the latest findings in AI Search.
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AI search, whether through large language models (LLMs) like ChatGPT or AI-powered search engine features like Google’s AI Overviews (AIOs), is reshaping how people access information online.
Instead of clicking directly onto websites from traditional search results pages, users are now also getting their answers in AI-generated summaries. This is changing not only how people search, but also how your content gets discovered.
There’s just one problem: since most tools still focus on rankings and referral traffic, this shift is making it harder to see where your content shows up. Or, worse, whether it’s being cited at all.
To help make sense of this shift, this page pulls together 80+ LLM visibility and AI search statistics and organizes them into the following categories:
- AI Ranking and Inclusion Signals
- AI Search Platfor Trends
- SERP Design and Real Estate
- Click Behavior and Traffic Flow
- Search Intent Patterns
- User Trust and Interaction Patterns
Key Findings
Finding 1: Google AIOs now appear in about 18% of searches, averaging findings across five studies
According to five studies looking at data in the first half of 2025, AI summaries appear in almost one in five Google searches. With AIOs showing up this often, ignoring them means leaving a good chunk of your search presence on the table.
Here’s a breakdown of the stats:
- In March 2025, Semrush found that 13.14% of all queries triggered AIOs — almost double the rate of 6.49% they found in January of the same year
- From data pulled on April 15, 2025, SE Ranking determined that about 30% of queries generated an AIO across five states
- The Pew Research Center found AI summaries attached to about 18% of Google searches in March 2025
- Out of the roughly 180 billion total searches in their index in June 2025, Ahrefs reported that Google searches generated AIOs about 12.8% of the time
- Conductor found that 18% of keywords analyzed in July 2025 triggered AIOs — a 29% increase from their May 2025 analysis
Finding 2: Click-through rate (CTR) drops by about 34% when an AI Overview is present, averaging results from four studies
Across four independent studies published in the first half of 2025, CTRs have dropped by nearly a third when an AIO is present in search results. Even top-ranking pages are losing traffic that they would’ve earned months ago.
Here’s a breakdown of the stats:
- A May 2025 article from Press Gazette reported that MailOnline found its average CTR on desktop dropped by 56.1% when a search query triggered an Google AIO
- Ahrefs determined that top-ranking pages averaged a 34.5% lower CTR in their study comparing CTRs before and after the US rollout of AIOs (in March 2024 and March 2025, respectively)
- In a study published in April 2025, Amsive found a 15.49% decline in CTRs from keywords that trigger AIOs
- BrightEdge found a nearly 30% drop in CTRs as of May 2025, one year after the launch of AIOs
For a complete list of stats and sources used in this article, check out the AirTable below:
AI Ranking and Inclusion Signals
These stats focus on how generative engines decide which content to cite. It covers domain dominance, citation overlap with organic search results, and what kind of content helps you get mentioned.
1. AI Overviews cite 13.3 sources on average
Source: SE Ranking study, May 2025
Why it matters: Google is signalling that topical coverage and multi-source corroboration are a ranking factor inside the AIO panel itself. Brands that publish reference-ready content stand a much better chance of being pulled into the answer block, which is critical real estate when no organic links are visible at all.
2. The 50 top domains supply 28.9% of all AIO citations
Source: Ahrefs study, May 2025
Why it matters: Although LLMs can pull from just about anywhere, nearly a third of all citations go to the top 50 sources. That dominance is most apparent in areas like health, Q&A, and general reference categories, where domains like Wikipedia, Reddit, and Healthline show up repeatedly. If you’re competing in those spaces, earning visibility in AIO often means going head-to-head with these titans.
3. 132.4% boost in visibility in generative AI results after adding a source line to the summary
Source: GEO paper on arxiv.org, June 2024 (preprint, though accepted at KDD ‘24)
Why it matters: The biggest single boost in the entire study came from attribution. Adding a clear citation notably improved the chance of showing up in the generative model answers, so it’s time to start treating sourcing like it’s a ranking factor.
4. 65.5% increase in appearances in generative AI answers when a relevant stat was added
Source: GEO paper on arxiv.org, June 2024 (preprint, though accepted at KDD ‘24)
Why it matters: Numbers = authority. Just like the test (noted in the previous stat, stat 3) with adding a source citation, visibility jumped when the copy included something verifiable.
5. 89.1% jump in visibility in AI-generated summaries from using a more authoritative tone
Source: GEO paper on arxiv.org, June 2024 (preprint, though accepted at KDD ‘24)
Why it matters: This example didn’t add new facts — it changed their delivery. The revised copy used more confident language, celebratory phrasing, and a more polished tone to land with more authority, and it made a huge difference in whether it got picked up by generative engines.
6. Ranking-style queries dropped 60.5% after AIO launch
Source: BrightEdge report, May 2025
Why it matters: With Google’s AIO doing the curating now, previously popular searches like “best running shoes 2024” are dropping significantly. Users just don’t need to ask for a list anymore — they simply type in what they need, and AIO gives them the top picks.
7. Google search volume grew 21.64 % from 2023 to 2024
Source: SparkToro × Datos study, March 2025
Why it matters: Far from cannibalizing search, AI features may just be driving more queries, meaning brands that fail to adapt risk losing visibility in a larger pie.
8. 43.42% of AI Overviews cite Google itself
Source: SE Ranking study, May 2025
Why it matters: Almost half the outbound “citations” don’t leave the Google ecosystem, shrinking the number of genuine external clicks a brand can win.
9. 46.5% of AIO citations come from pages ranked outside the top-50
Source: Advanced Web Ranking study, July 2024
Why it matters: Rank isn’t a prerequisite — Google’s happy to pull from domains that aren’t even found in the top 50 for AIOs. It seems that authority signals may trump positional SEO, so a high ranking isn’t necessary for an AIO citation if you have solid content
Yet, ranking may still be beneficial, considering the previously noted Ahrefs study found that just under one-third of AIO citations link to the top 50 sources.
10. Only 33.42% of AIO links overlap with the top 10 organic results
Source: Advanced Web Ranking Study, July 2024
Why it matters: Two-thirds of AIO citations don’t match what’s ranking on page one. If you’re strictly relying on that top-10 placement to get picked up, you could get swapped out for someone with better content signals. So, while ranking is an important SEO consideration, when it comes to AIO, it’s not the only factor.
11. AI Overviews reach over 1.5 billion users each month
Source: Google blog, April 2025
Why it matters: The audience for AI answers is larger than Netflix’s subscriber base (about 283 million in 2023, according to Statista) — ignore at your peril.
12. AIOs appear for 9.46% of desktop keywords
Source: Ahrefs study, May 2025
Why it matters: Nearly one in ten desktop searches now trigger an AIO. And this number is likely to grow, making it worth keeping an eye on where your content shows up and where it doesn’t.
AI Search Platform Trends
It’s not just Google anymore. From ChatGPT and Perplexity to Gemini and Copilot, the search landscape is opening up to new, AI-based players. These stats track how each AI platform is changing what visibility looks like and what brands should be paying attention to next.
13. Applying citations, quotes, and statistics tweaks lifted visibility up to 40% in GE responses
Source: GEO paper on arxiv.org, June 2024 (preprint, though accepted at KDD ‘24)
Why it matters: Simple, on-page edits can improve how often a site is surfaced inside AI search engines. That’s a brand-new optimization lever for content teams.
14. Only 30% of ChatGPT prompts match traditional search intent categories
Source: Semrush study, Feb. 2025
Why it matters: With only 30% of queries falling into classic intent categories (navigational, informational, commercial, and transactional), the other 70% represent a new wave of AI-driven search behavior. Marketers and SEOs who set out to fulfill these more novel intents may have a competitive edge.
15. ChatGPT tops 800 million weekly active users
Source: Forbes article, April 2025
Why it matters: ChatGPT isn’t just a niche tool. It has become the first “answer engine” with enough users and power to siphon search intent away from Google and Bing, raising the stakes for AI visibility far beyond traditional SEO.
16. An AI-search visitor is worth 4.4x a classic organic visitor
Source: Semrush study, June 2025
Why it matters: Although volume is still small compared to traditional organic search, clicks from AI tools like ChatGPT/Perplexity convert like a warm lead, which can significantly impact your bottom line.
17. Nearly 90% of ChatGPT citations come from pages ranked 21 or lower
Source: Semrush study, June 2025
Why it matters: You don’t need a high ranking to be cited by ChatGPT. However, the same study found that some LLMs cite those ranking in search positions 1 to 5 more often than 6 to 20, so appearing higher up on the SERPs may not hurt your chances too much either.
18. 81.32% of Perplexity traffic is direct
Source: Semrush data, June 2025
Why it matters: Users treat Perplexity as a destination, meaning a citation here could drive a branded, high-intent click straight to your site.
19. A single ChatGPT query uses 0.000085 gallons of water & 0.34 watt-hours of power
Source: Co-founder and CEO @ OpenAI Sam Altman’s blog post, June 2025
Why it matters: With sustainability concerns in the spotlight lately, KPIs concerning water and energy may soon sit alongside traffic metrics. And if that happens, visibility that comes with a heavy resource bill could end up facing regulatory or stakeholder pushback.
20. Brave Search tops 1.45 billion queries each month
Source: Co-founder and CEO @ Brave Software, Brendan Eich’s X post, July 2025
Why it matters: If “alt” engines like Brave are now breaking the billion-query bar, skipping optimization isn’t strategy. It’s lost traffic.
21. Only 14 % of top sources overlap across Google AI, ChatGPT, and Perplexity
Source: Ahrefs study, June 2025
Why it matters: Winning visibility in one answer engine doesn’t guarantee exposure in another, making multi-engine optimization mandatory. The study found that just seven (out of 50) of the sources overlapped across AIO, ChatGPT, and Perplexity.
22. ChatGPT users click 1.4 external links per visit vs Google’s 0.6
Source: Momentic study, May 2025
Why it matters: ChatGPT may be smaller, but its users are twice as click-happy. A single citation here could easily move more traffic than a Google one.
23. ChatGPT users send over 2.5 billion messages per day
Source: Axios article, July 2025
Why it matters: Even if only a fraction of these prompts are search-driven, the raw volume rivals mid-tier search engines. This means this AI chatbot can still drive real visibility.
24. Google still gets about 373x more searches than ChatGPT
Source: Sparktoro study, March 2025
Why it matters: Google still dominates search, but if ChatGPT manages to triple or quadruple its numbers here, it could force a rethink of where content budgets should go.
25. Perplexity AI now serves 15 million monthly active users
Source: Wired article, March 2024
Why it matters: A second tier of “answer engines” is reaching scale, so optimizing only for Google and ChatGPT means leaving millions of searches on the table.
26. Perplexity AI logged 129.4 million visits in June 2025 alone
Source: Similarweb data, June 2025
Why it matters: Visit growth is outpacing user growth, suggesting that Perplexity is becoming a regular part of people’s search routines. If you were holding off on optimization thinking this engine is little more than a novelty, it may be time to start.
27. Google Gemini clocked 648.6 million visits in June 2025
Source: Similarweb data, June 2025
Why it matters: Gemini is already the #2 AI chatbot by traffic, giving Google another channel to surface brand mentions outside of classic search. Those only watching the SERPs are missing half the picture.
28. Perplexity processed 780 million queries in May 2025
Source: TechCrunch article, June 2025
Why it matters: Alternative “answer engines” are reaching Google-scale monthly volumes, making cross-engine optimization mandatory.
29. Perplexity already claims 5.5 % of the North American search market
Source: Statcounter Global Stats, July 2025
Why it matters: 5.5% might sound small, but in search terms, that’s massive. Ignoring it means you’re practically leaving traffic on the table.
30. Microsoft Copilot has over 33 million monthly active users
Source: Business of Apps article, May 2025
Why it matters: With millions using Copilot inside tools like Word and Outlook, every sidebar is now a place your brand might show up — or get skipped over.
31. UK civil servants saved 26 minutes per day using Microsoft 365 Copilot
Source: UK Government official report, June 2025
Why it matters: Real-time savings like this are exactly what get AI rolled out across entire organizations, meaning more branded responses showing up in inboxes, docs, and chat threads every day — whether they’re yours is up to you.
32. 1.5x higher CTR after Microsoft Copilot’s refresh
Source: Microsoft Advertising blog post, April 2025
Why it matters: Since the refresh, when Copilot leads the click, ads perform better. This CTR bump shows the new layout isn’t just cosmetic. It’s changing how users engage with results, giving brands more reason to show up across formats.
33. Copilot speeds up the customer journey by about 30 %
Source: Microsoft Advertising blog post, April 2025
Why it matters: Fewer steps mean fewer chances to lose a prospect. If your brand shows up in the summary, you’re more likely to keep people moving forward.
34. Brave Search handles over 42 million queries per day
Source: Brave blog post, Jan. 2025
Why it matters: With 40 million+ daily queries, Brave isn’t just a side project anymore. It’s a real channel, and ignoring it means missing a growing source of search visibility.
35. Brave Browser boasts 91.5 million monthly active users
Scope: Reported Brave Browser user growth as of June 2025
Source: Brave Browser Transparency Data Feed, July 2025
Why it matters: Any AI answers Brave layers onto its search or browser UI now reach a sizable, ad-resistant audience. That reach is too big to ignore.
36. Google still sends 210x more clicks than ChatGPT, Perplexity, and Gemini combined
Source: Ahrefs study, June 2025
Why it matters: Classic SEO isn’t dead just yet. But every bit of ground the AIs gain cuts into Google’s lead, which means watching momentum matters more than looking at totals.
SERP Design and Real Estate
It’s not just what gets shown. It’s where. These stats look at how much space AI answers take up on the screen, how far they bump organic links down the page, and why even ranking #1 might not be enough to get seen.
37. 40% of AIO citations come from pages that only rank #11-20 organically
Source: Growth Memo analysis, Sept. 2024
Why it matters: Generative answers aren't just recycling the top organic results. Mid-tier pages with the right signals (like depth or freshness) can outrank big-name sites inside the AI block. That opens the door for smaller brands to win visibility without needing a #1 rank.
38. SGE panels appear on 86.83 % of queries in tests
Source: Authoritas study, Jan. 2024
Why it matters: When SGE is on, it dominates the SERP. Even top organic results struggle to stand out if they aren’t part of the generative answer.
39. Only 4.5% of SGE URLs exactly match Page 1 organic results
Source: Authoritas study, Jan. 2024
Why it matters: SGE panels often surface a completely different set of URLs than classic search. If your page isn’t cited, even a #1 organic rank might not get seen.
40. Featured Snippets drop 1,479 px (≈ 137% viewport) after SGE expands
Source: Authoritas study, Jan. 2024
Why it matters: Featured Snippets used to guarantee visibility. Now, SGE pushes them a full screen down, making them far less likely to earn the click.
41. 98.54% of AIOs also include “People Also Ask”
Source: SE Ranking study, May 2025
Why it matters: When AIOs show up, so do PAA boxes, leaving even less room for traditional links to get seen or clicked.
42. Total Google impressions have increased 49% since AI Overviews launched
Source: BrightEdge report, May 2025
Why it matters: Search demand isn’t shrinking — it’s just shifting into AI panels. Brands that only track clicks could miss a big spike in visibility.
43. AI Overviews occupy 42% of a desktop screen (and 48% on mobile)
Source: Botify x DemandSphere study, Dec. 2024
Why it matters: The first organic link is literally below the fold, meaning a number 1 ranking no longer guarantees that you’ll actually get seen.
44. AIO SERPs strip out 96% of sitelinks, 84% of videos, and 75% of knowledge panels
Source: Ahrefs study, Oct. 2024
Why it matters: Even rich-result real estate you used to own, like video carousels and knowledge panels, disappear when an AI answer takes over. If you’re not cited, you’re not visible.
45. An average AI Overview stands 912 pixels tall when expanded, and 399 pixels when collapsed
Source: Advanced Web Ranking study, July 2024
Why it matters: Users have to scroll more than a full screen to reach the first organic result. On most monitors, that means the top links aren’t even visible until halfway down the page.
46. Typical AIO length is 169 words
Source: Advanced Web Ranking study, July 2024
Why it matters: Google keeps its summaries short, so tight, fact-loaded copy with clear citations has the best shot at getting quoted.
47. AIO and Featured Snippets overlap in 59.5% of SERPs
Source: Advanced Web Ranking study, July 2024
Why it matters: Google is doubling down on instant answers, so pages structured to qualify for both formats can grab double the visibility.
48. Only 8.74 % of queries triggering AIOs show ads at the top of the SERPs
Source: Advanced Web Ranking study, July 2024
Why it matters: When they’re at the top of the SERPs, AIOs don’t just compete for clicks — they can lower ad engagement when they answer too much, or boost it when they align well. That shift affects CPCs, ad rank, and which ads even get shown.
49. AI Overviews now surface on about 55% of queries with lower search volume (less than 1000 monthly searches)
Source: Botify x DemandSphere study, Dec. 2024
Why it matters: Long-tail traffic used to fly under the radar. Now AIOs are taking that space too, and when clicks drop, you won’t always know why.
50. SGE blocks are huge — about 905 pixels
Source: Search Engine Journal study, May 2024
Why it matters: Taking up about 84% of the screen, SGE blocks are so big that organic results get pushed below the fold. That tanks both visibility and ad performance on a standard 1080p screen.
51. Mobile CTR drops about 13 percentage points due to AIOs, even with the #1 organic search result
Source: Press Gazette article, May 2025
Why it matters: With mobile CTR dropping from 20% to 7% when an AIO is present, it may be that AIOs are crowding the screen so much that even the #1 link can get missed if users don’t scroll (check out stat 61 for even more details on the impact to desktop CTR and stat 67 for insights into average CTR drop).
52. Google Search shows a 9% decrease in pageviews and a 6% increase in Discover traffic after the March core update
Source: Digiday article, May 2025
Why it matters: Google’s sending less traffic through Search and more through Discover. That’s fewer clicks landing on your site, and more guessing where your audience even came from.
53. 80.72% of shopping ads still appear above SGE answers
Source: SE Ranking study, Feb. 2024
Why it matters: Shopping ads are still showing above SGE, but that could change. Right now, focusing on optimizing titles and images may be what keeps your products in view.
54. Google AI Overviews now appear in roughly 18% of searches (range: 12% – 30%)
Source: Composite estimate based on five authoritative studies: Semrush study, May 2025; SE Ranking study, May 2025; Pew Research Center study, July 2025; Ahrefs study, May 2025; Conductor study, July 2025
Why it matters: Clearly, AIOs aren’t rare, as they’re showing up in millions of searches. If your content can’t compete in that space, you're not in the game.
Click Behavior & Traffic Flow
AI Overviews reshape both what shows up and what gets clicked. These stats track how they affect organic CTR, ad performance, and traffic flow across rankings, industries, and devices.
55. CTR of the top-ranking page drops 34.5% when AIOs show up
Source: Ahrefs study, April 2025
Why it matters: Ranking first no longer guarantees traffic. The drop suggests that attention may be shifting to the AI Overview itself, which makes nabbing that citation even more important.
56. AIOs cut CTR by 15.49% on average
Source: Amsive study, April 2025
Why it matters: This isn’t just a top-of-page problem. AIOs drag down clicks across industries and rankings, making traffic harder to forecast even when your rankings hold.
57. CTR falls 37.04% when an AIO and Featured Snippet appear together
Source: Amsive study, April 2025
Why it matters: When both formats appear, they hog the screen and crush clicks. To stay visible, you should work to qualify for the snippet and land a citation inside the AIO.
58. Business Insider lost 55% organic search traffic between April 2022 and April 2025
Source: Wall Street Journal article, June 2025
Why it matters: A well-established authority news site lost over half its search audience. It’s a warning sign for any publisher whose headlines are now competing with AI summaries at the top of the page.
59. Google CTRs are down about 30% since May 2024
Source: BrightEdge report, May 2025
Why it matters: Even though the study also found that impressions have increased by 49% over the same period, fewer users are clicking through. If you’re counting on rank alone to drive traffic, it’s getting harder to justify the return.
60. 99.2% of AIO-triggering keywords are informational in intent
Source: Ahrefs study, Oct. 2024
Why it matters: Top-of-funnel explainer content is hit first and hardest by AI summarization, so making this content easy for Google to quote is now critical for getting seen.
61. Desktop CTR falls by 8 percentage points when an AIO appears
Source: Press Gazette article, May 2025
Why it matters: Even publishers with household-name authority, like MailOnline, lose clicks when AIOs show up. On desktop, their rank-1 CTR dropped from 13% to 5%, a steep fall for a top spot (the average CTR drop was even higher at 56.1%; check out stat 67 for more details).
62. Google processes over 5 trillion searches per year
Source: Google Ads & Commerce Blog, March 2025
Why it matters: When billions of searches happen daily (this breaks down to a whopping 13.7 billion a day), even small shifts in AI Overview coverage or CTR trends can ripple across the entire web.
63. Zero-click rate fell from 38.1% to 36.2% after AIO rolled out
Source: Semrush study, May 2025
Why it matters: Contrary to popular belief, AI Overviews don’t always wipe out clicks. In this case, the zero-click rate actually dropped, hinting that when links get cited, users may still follow them.
64. Organic CTR collapses to 0.64% when an AIO is present
Source: Seer Interactive study, Feb. 2025
Why it matters: When AIOs enter the picture, clicks fall fast. The sharp drop in CTR shows just how hard it is to earn traffic unless your link appears inside the overview.
65. Paid search CTR drops from 17.24% to 6.56% when AIOs appear
Source: Seer Interactive study, Feb. 2025
Why it matters: Paid search can still drive strong results, but only when ads show above the AI Overview. Once they’re pushed below, clicks collapse.
66. AI drives just 0.1% of total referral traffic — at least, for now
Source: Ahrefs study, March 2025
Why it matters: The traffic numbers may seem tiny, but they show that AI-generated results still have a massive reach. Right now, citations are more about visibility and authority than direct clicks.
67. Click-through rate drops by about 34% when an AI Overview is present (range 15.49% to 56.1%)
Source: Composite estimate based on four authoritative studies: Press Gazette article, May 2025; Ahrefs study, April 2025; Amsive study, April 2025; BrightEdge report
Why it matters: AI Overviews pull clicks away from organic results. Even top-ranking pages see less engagement, especially below the top 3 or when a Featured Snippet appears alongside the AIO.
Search Intent Patterns
As nice as it would be, AI doesn’t treat every search the same. These stats break down which kinds of queries trigger AI Overviews most often, from health and pricing to branded and local terms.
The goal? Show up where it counts, and know which verticals are already saturated.
68. AIOs now surface on about 30% of all searches
Source: SE Ranking study, May 2025
Why it matters: This study looked across multiple search intents and found AIOs showing up nearly one-third of the time. To stay visible, your content should be citation-ready no matter the query type.
69. Health queries trigger AI Overviews 65.33% of the time
Source: SE Ranking study, Oct. 2024
Why it matters: Google is prioritizing AI answers in YMYL (your money or your life) categories, where accuracy matters most and credible sources are most likely to earn visibility.
70. E-commerce queries hit about 87% SGE coverage
Source: Onely study, March 2024
Why it matters: Pages that aren’t built to be cited miss their chance to show up in the buying journey. If your product content can't support a source link, it may just get left out.
71. Navigational AIOs doubled from 0.74% to 1.43% between January and March 2025
Source: Semrush study, May 2025
Why it matters: Google is testing AI answers on branded terms. When clicks go to summaries instead of your site, you stand to lose retargeting reach and affiliate revenue.
72. Four verticals now see roughly 90% AIO coverage
Source: BrightEdge report, May 2025
Why it matters: Classic YMYL sectors, including healthcare, education, B2B tech, and insurance, rely on trust and evergreen content, and these are the exact signals AIOs reward. If your brand isn’t cited, you vanish from the upper funnel before the buyer even shows intent.
73. Only about 6.85% of local-intent queries trigger an AIO
Source: Ahrefs study, May 2025
Why it matters: Local SEO still has room to operate without interference. This is the window to reinforce your authority before AI results start showing up in Maps and local packs.
User Trust and Interaction Patterns
AI Overviews aren’t just reshaping rankings — they’re shifting how users engage with the SERP. These stats show how quickly trust is forming, how users behave inside panels, and why brand visibility now depends on interaction design as much as content.
74. Wikipedia drops about 9.7 rankings after an SGE click
Source: Authoritas study, Jan. 2024
Why it matters: Google pushes traditional results down after SGE expands. If the most-trusted site on the web gets buried, everyone else is fair game.
75. Post-click SGE panels show an average of 10.2 links from 4 unique domains
Source: Authoritas study, Jan. 2024
Why it matters: Once a user expands an AIO, there’s still room to earn a click. But only if you’re among a dozen competing citations.
76. 88% of users click “Show more” on truncated AIOs
Source: Growth Memo study, May 2025
Why it matters: Most users expand AIOs. That gives citations in the extended view a shot at being seen, especially if they appear near the top.
77. 70% of searchers stop reading after the first third of an AIO
Source: Growth Memo study, May 2025
Why it matters: If your brand isn’t mentioned right away, most users never see it. Attention drops fast, and the window for visibility closes early.
78. 90% of buyers click sources featured in an AIO
Source: TrustRadius report, April 2025
Why it matters: In most cases, if you’re cited, you get the click. Buyers trust the sources Google surfaces, so standing out depends more on quality than volume.
79. 70% of survey respondents still prefer traditional search engines over LLMs for fact-finding
Source: Large Language Models vs. Search Engines paper on arxiv.org, Jan. 2024
Why it matters: Don’t give up on optimizing for search engines entirely, as many users still trust the old model. Keeping traditional SEO practices in the mix ensures your content shows up for searchers who want to click and verify.
80. 70% of consumers already had some trust in generative-AI search results
Source: Gartner press release, Dec. 2023
Why it matters: Even back in 2023, most users were willing to trust AI answers. That early shift raised the stakes for citation accuracy — and it still does.
Final Thoughts
Like it or not, search behavior is evolving, and AI summaries are having a significant impact on what gets seen long before anyone clicks. As these stats show, even having the top organic search result just isn’t enough anymore, so it’s time to adjust your content strategy accordingly.
We’re now at the point where if your content isn’t getting mentioned in AI responses, it risks getting skipped over entirely. Moving forward, it seems that the best answer isn’t always going to be the one that ranks — it’s the one that AI likes best.
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Frequently Asked Questions
Tools for conducting a plagiarism check between two documents online are important as it helps to ensure the originality and authenticity of written work. Plagiarism undermines the value of professional and educational institutions, as well as the integrity of the authors who write articles. By checking for plagiarism, you can ensure the work that you produce is original or properly attributed to the original author. This helps prevent the distribution of copied and misrepresented information.
Text comparison is the process of taking two or more pieces of text and comparing them to see if there are any similarities, differences and/or plagiarism. The objective of a text comparison is to see if one of the texts has been copied or paraphrased from another text. This text compare tool for plagiarism check between two documents has been built to help you streamline that process by finding the discrepancies with ease.
Text comparison tools work by analyzing and comparing the contents of two or more text documents to find similarities and differences between them. This is typically done by breaking the texts down into smaller units such as sentences or phrases, and then calculating a similarity score based on the number of identical or nearly identical units. The comparison may be based on the exact wording of the text, or it may take into account synonyms and other variations in language. The results of the comparison are usually presented in the form of a report or visual representation, highlighting the similarities and differences between the texts.
String comparison is a fundamental operation in text comparison tools that involves comparing two sequences of characters to determine if they are identical or not. This comparison can be done at the character level or at a higher level, such as the word or sentence level.
The most basic form of string comparison is the equality test, where the two strings are compared character by character and a Boolean result indicating whether they are equal or not is returned. More sophisticated string comparison algorithms use heuristics and statistical models to determine the similarity between two strings, even if they are not exactly the same. These algorithms often use techniques such as edit distance, which measures the minimum number of operations (such as insertions, deletions, and substitutions) required to transform one string into another.
Another common technique for string comparison is n-gram analysis, where the strings are divided into overlapping sequences of characters (n-grams) and the frequency of each n-gram is compared between the two strings. This allows for a more nuanced comparison that takes into account partial similarities, rather than just exact matches.
String comparison is a crucial component of text comparison tools, as it forms the basis for determining the similarities and differences between texts. The results of the string comparison can then be used to generate a report or visual representation of the similarities and differences between the texts.
Syntax highlighting is a feature of text editors and integrated development environments (IDEs) that helps to visually distinguish different elements of a code or markup language. It does this by coloring different elements of the code, such as keywords, variables, functions, and operators, based on a predefined set of rules.
The purpose of syntax highlighting is to make the code easier to read and understand, by drawing attention to the different elements and their structure. For example, keywords may be colored in a different hue to emphasize their importance, while comments or strings may be colored differently to distinguish them from the code itself. This helps to make the code more readable, reducing the cognitive load of the reader and making it easier to identify potential syntax errors.
With our tool it’s easy, just enter or upload some text, click on the button “Compare text” and the tool will automatically display the diff between the two texts.
Using text comparison tools is much easier, more efficient, and more reliable than proofreading a piece of text by hand. Eliminate the risk of human error by using a tool to detect and display the text difference within seconds.
We have support for the file extensions .pdf, .docx, .odt, .doc and .txt. You can also enter your text or copy and paste text to compare.
There is never any data saved by the tool, when you hit “Upload” we are just scanning the text and pasting it into our text area so with our text compare tool, no data ever enters our servers.
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