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145+ AI Brand Mentions Stats: Ultimate Statistics and Discovery Data (2026)

Richard Gargan
145+ AI Brand Mentions Stats: Ultimate Statistics and Discovery Data (2026)

This curated database tracks how brands are discovered, cited, and mentioned across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Use these 153 statistics to analyze the shift toward Generative Engine Optimization (GEO) and its impact on web referral traffic.

Key AI Brand Mentions Stats Statistics in 2026

  • The global active generative AI user figure is estimated at 2.17 billion, which equates to more than a quarter of the world’s population. (DataReportal 2026[1])
  • Thirty-five percent of US consumers start their product discovery journey with an AI tool. (Similarweb 2026[2])
  • For unengaged consumers recommended a brand by an AI assistant, Google searches for that brand’s name rose by +4.3 percentage points. (Iannelli et al. 2026[3])
  • Audit results show that category-leading brands appear in nearly every retrieval but win only 25-41% of final recommendation slots. (Jack et al. 2026[4])
  • An analysis of domain appearances across AI search engines found that 62% of AI citations are ghost citations where the site gets a source link but the brand name is never mentioned. (Semrush 2026[5])
  • Princeton research on generative engine optimization shows that citing authoritative sources can improve AI visibility by 40%. (Princeton University 2023[6])
  • Google AI Overviews are 44% more likely than ChatGPT to surface negative brand sentiment overall. (BrightEdge 2026[7])
  • Google was shown to drive 345x more referral traffic to websites than ChatGPT, Gemini, and Perplexity combined as of late 2025. (Dataslayer 2025[8])
  • Across 59,483 sources cited in 6,310 ChatGPT answers, gartner.com was the most-cited domain, appearing in answers about 162 companies. (Simplitas 2026)
  • Only 11% of domains are cited by both ChatGPT and Perplexity, showing almost entirely separate citation ecosystems. (The Digital Bloom 2025[9])
  • A collaborative study discovered that 80% of LLM citations do not rank in Google’s top 100 organic search results. (Princeton University 2025[8])

Global AI Platform Adoption: AI Brand Mentions Stats and Data

Over 2.17 billion people now use generative AI platforms globally, with ChatGPT leading adoption at 900 million weekly active users as of February 2026. This massive user base represents a shifting ecosystem for online brand discovery. Brands can use targeted GEO PR strategies to secure mentions as these platforms scale.

Generative AI apps on a phone home screen, representing 2.17 billion global AI users

  • The global active generative AI user figure is estimated at 2.17 billion, which equates to more than a quarter of the world’s population. (DataReportal 2026[1])
  • ChatGPT has reached more than 900 million weekly active users globally as of late February 2026. (OpenAI 2026[1])
  • There were 602 million generative AI users in mainland China in December 2025, according to internet tracking data. (CNNIC 2025[1])
  • The consumer AI adoption rate experienced a rapid increase from 14% to 29.2% over a six-month period ending in August 2025. (Dataslayer 2025[8])
  • ChatGPT was measured to be 2.7 times larger than Gemini by monthly web traffic as of January 2026. (SimilarWeb 2026[10])
  • ChatGPT was measured to be 2.5 times larger than Gemini by monthly active users on mobile as of January 2026. (Sensor Tower 2026[10])
  • Claude increased its paid subscribers in the United States by over 200 percent year-over-year as of January 2026. (Yipit Data 2026[10])
  • Gemini increased its paid subscribers in the United States by 258 percent year-over-year as of January 2026. (Yipit Data 2026[10])
  • ChatGPT was measured to have a U.S. paid subscriber base 8 times larger than Claude as of January 2026. (Yipit Data 2026[10])
  • ChatGPT was measured to have a U.S. paid subscriber base 4 times larger than Gemini as of January 2026. (Yipit Data 2026[10])
  • A demographic survey found that 43% of young adults between the ages of 18 and 29 have used ChatGPT as of 2025. (Dataslayer 2025[8])
  • ChatGPT processes over 2 billion daily queries as of October 2025. (Dataslayer 2025[8])

AI Search Market Dynamics and AI Brand Mentions Stats

Google’s traditional search market share dipped below 90% in late 2024 as Google AI Overviews and alternative engines like Perplexity expand, restructuring how brands maintain search engine visibility.

A search engine homepage on a desktop browser, representing Google’s search share falling below 90%

  • Google’s estimated share of the search market dipped below 90% in October 2024 for the first time since 2015. (BridgeEdge 2024[11])
  • The collective market share of all non-Google AI search engines was less than 1% according to AI Pulse data. (BridgeEdge 2025[11])
  • Search advertising spend is projected to increase 10% to $253.2 billion in 2025. (WARC Media 2025[11])
  • Google is projected to capture 86% of the global search advertising spend in 2025. (WARC Media 2025[11])
  • The trigger rate of Google AI Overviews across tracked queries grew from roughly 30% to 48% over a twelve-month period ending in February 2026. (BrightEdge 2026[12])
  • When Google AI Overviews appear on the page, they consume a substantial amount of screen space, averaging over 1,200 pixels tall as of February 2026. (BrightEdge 2026[12])
  • Google AI Overviews appear for 30.3% of informational queries, compared to only 14.3% of transactional queries and 13.8% of consideration queries. (BrightEdge 2025[13])
  • Google AI Overviews trigger on 18.4% of shopping-related queries overall, signaling that most queries still rely on traditional search. (BrightEdge 2025[13])
  • Google AI Overviews appeared in 20% of Google search engine results as of September 2025. (Dataslayer 2025[8])
  • Perplexity processed 780 million search queries in May 2025, which reflects the massive volume of potential outbound referral traffic. (TechCrunch 2025[14])
  • Perplexity holds an estimated 2% of the global AI chatbot market by monthly active users. (Gradually AI 2026[14])

Consumer Shopping Behavior and AI Brand Mentions Stats Data

Over 35% of US consumers and 94% of business buyers now use artificial intelligence engines to discover, evaluate, and compare products during their online shopping journeys.

An ecommerce storefront in a browser, representing the 35% of US shoppers who start product discovery in AI

  • Thirty-five percent of US consumers start their product discovery journey with an AI tool. (Similarweb 2026[2])
  • Only 13.6% of US consumers start their product discovery journey with a traditional search engine. (Similarweb 2026[2])
  • At least 3 in 10 US consumers turn to generative AI tools to research brand options and compare product alternatives. (Similarweb 2026[1])
  • Between 40 and 55 percent of consumers in top sectors utilize AI-based search to make purchasing decisions. (McKinsey 2025[15])
  • A survey showed that 72% of generative AI users rely on AI as their primary tool for researching products and brands. (Adobe 2025[16])
  • A survey conducted in February 2025 revealed that 39% of respondents are using AI for online shopping. (Adobe 2025[16])
  • Approximately 47% of AI shoppers rely on generative AI platforms to get product recommendations. (Adobe 2025[16])
  • A 2026 buyer survey reported that 94% of nearly 18,000 business buyers used AI somewhere in their buying process. (Forrester 2026[17])
  • A survey of more than 3,000 CRM purchase decision-makers found that 42% used AI search during their evaluation process. (HubSpot[17])
  • Sixty-four percent of surveyed consumers plan to use artificial intelligence chatbots for shopping in 2026. (PartnerCentric 2026[18])
  • Among AI shoppers surveyed in 2025, 46% reported using AI most or every time they shop. (IAB and Talk Shoppe 2025[19])
  • Nearly 90% of shoppers in a 2025 study stated that AI helps them discover products they would not have found otherwise. (IAB and Talk Shoppe 2025[19])
  • A 2025 research study revealed that 64% of shoppers had artificial intelligence surface a new product during their shopping session. (IAB and Talk Shoppe 2025[19])
  • A February 2026 survey found that 49% of U.S. shoppers have purchased something because of an AI recommendation. (Zamplia 2026[20])
  • Thirty percent of US consumers surveyed would let an AI agent complete a purchase on their behalf. (Contentsquare 2025[2])
  • Twenty-two percent of US shoppers surveyed reported having already completed a purchase directly inside an AI tool. (The Digital Bloom 2026[2])

Brand Visibility Indexes: Core AI Brand Mentions Stats

Category leaders dominate AI brand recommendations while niche brands struggle, highlighting why companies must track and optimize their AI brand mentions.

An AI assistant answering with brand recommendations on a phone, representing AI brand visibility indexes

  • Apple scored 100 on the AI Brand Visibility Index in the consumer electronics category. (Similarweb 2026[2])
  • Samsung scored 24 on the AI Brand Visibility Index in the consumer electronics category. (Similarweb 2026[2])
  • Anker scored 6 on the AI Brand Visibility Index in the consumer electronics category. (Similarweb 2026[2])
  • Nike’s overall Generative AI Visibility Index score remained highly stable during the study, ranging only between 91 and 101. (Similarweb 2026[1])
  • Nerdwallet saw its Generative AI Visibility Index score swing by more than 100 percent during the reporting period, moving from a low of 77 to a high of 151. (Similarweb 2026[1])
  • Macy’s experienced dramatic volatility in its Generative AI Visibility Index score, jumping from 119 to 326 before falling back to 158. (Similarweb 2026[1])
  • An analysis of 100,000 prompt responses on Ranqo showed that global household brands appear in 73% of relevant AI answers. (Ranqo 2026[21])
  • A comprehensive study of AI responses showed that established mid-market and regional brands appear in 44% of AI answers. (Ranqo 2026[21])
  • Ranqo research tracking more than 100 brands showed that niche and small brands are visible in only 11% of AI search answers. (Ranqo 2026[21])
  • A study in September 2025 showed that 26% of evaluated brands did not receive any mentions in Google AI Overviews. (Dataslayer 2025[8])
  • Only 16 percent of brands systematically track AI search performance, based on a survey of Fortune 500 consumer brand CMOs. (McKinsey 2025[15])

Query Type Analysis: AI Brand Mentions Stats and Statistics

Only 38.3% of domain citations in AI engines actually mention the brand name in text, leaving 62% of citations as unbranded ‘ghost citations’ where a site is linked but the brand name is never mentioned.

An analytics app open on a phone, representing brand mention rates broken down by query type

  • Only 38.3% of all domain appearances analyzed in the study included a brand mention. (Semrush 2026[5])
  • An analysis of domain appearances across AI search engines found that 62% of AI citations are ghost citations where the site gets a source link but the brand name is never mentioned. (Semrush 2026[5])
  • Gemini mentions brands in 83.7% of domain appearances in AI search results. (Semrush 2026[5])
  • ChatGPT mentions brand names in only 20.7% of its answers. (Semrush 2026[5])
  • Informational queries yield a high citation rate but have a brand mention rate of only 18% in AI search answers. (Semrush 2026[5])
  • Comparative queries yield a brand mention rate of 43.3% in AI search results. (Semrush 2026[5])
  • How-to queries yield a brand mention rate of 42.8% in AI search results. (Semrush 2026[5])
  • Commercial queries result in a brand mention rate of 35.6% and a citation rate of 84.4%. (Semrush 2026[5])
  • Short, conversational queries produce 30 to 50 times more brand mentions than long, structured queries. (Semrush 2026[5])
  • AI engines disagree on whether to name a brand in 22% of analyzed prompt-and-domain combinations. (Semrush 2026[5])
  • Only 13.2% of analyzed domain appearances were both cited and mentioned in the AI response. (Semrush 2026[5])
  • About 25.1% of domain appearances in the study were brand mentions without a citation link. (Semrush 2026[5])
  • Google AI Overviews mention an average of only 1.4 brands for informational queries despite appearing on 30.3% of those queries. (BrightEdge 2025[13])

AI Referrals: Click-Through AI Brand Mentions Stats Data

While website traffic referred by AI search engines grew 16x between 2024 and 2026, traditional organic Google search still drives 345x more referral traffic than ChatGPT, Gemini, and Perplexity combined.

An analytics app on a phone, representing referral traffic sent by AI search engines

  • Website traffic from AI search engines to websites increased 16x from 2024 to 2026. (SE Ranking 2026[22])
  • AI platforms accounted for 0.32% of all website traffic globally in 2026. (SE Ranking 2026[22])
  • ChatGPT accounted for 74.78% of all AI referral traffic to websites in 2026. (SE Ranking 2026[22])
  • Gemini accounted for 11.56% of global AI referral traffic to websites in 2026. (SE Ranking 2026[22])
  • Perplexity accounted for 7.23% of global AI referral traffic to websites in 2026. (SE Ranking 2026[22])
  • Google was shown to drive 345x more referral traffic to websites than ChatGPT, Gemini, and Perplexity combined as of late 2025. (Dataslayer 2025[8])
  • Clickstream analysis of over 50,000 websites puts AI referral traffic below 0.15% of total visits. (Semrush[17])
  • Generative AI platforms referred 226.8 million US visitors to third-party brand websites in January 2026, representing a decline over previous months. (Similarweb 2026[1])
  • Outbound click referrals from generative AI platforms to third-party brand domains dropped by 15 percent between October 2025 and January 2026. (Similarweb 2026[1])
  • The outbound referral rate to third-party sites from AI platforms in the US dropped to 15.8 percent in January 2026. (Similarweb 2026[1])
  • Research published in late 2025 showed that Google AI Overviews reduce click-through traffic to websites by 34.5%. (Dataslayer 2025[8])
  • Research showed that click-through rates can fall by up to 80% on certain queries when AI summaries are displayed in Google search results. (Authoritas 2025[23])
  • A 2025 study found that 58.5% of U.S. Google searches end without a user clicking any search result. (Semrush 2025[24])
  • A survey of 1,100 consumers in December 2024 estimated that relying on AI summaries leads to an organic web traffic hit of between 15-25% for brands. (Bain and Dynata 2024[11])
  • A search traffic study found that the average AI search visitor is 4.4× more valuable than the average organic search visitor. (Semrush[17])
  • Visitors referred by AI search engines spend 68% more time on websites than those from traditional organic search. (SE Ranking 2026[22])
  • An analysis of post-mention actions found that 40% of users Google a brand after it is mentioned by an AI. (Similarweb[17])
  • An analysis of post-mention actions found that 28% of users visit a brand’s site directly after it is mentioned by an AI. (Similarweb[17])

Citation Sources: AI Brand Mentions Stats and Ecosystem Data

ChatGPT and Perplexity operate almost entirely separate citation ecosystems, sharing just 11% of the same cited domains, while a brand’s own website comprises only 5% to 10% of the sources cited by AI engines.

  • Across all domain appearances analyzed in the study, 74.9% included a citation. (Semrush 2026[5])
  • Gemini cites brands as an information source only 21.4% of the time in domain appearances. (Semrush 2026[5])
  • ChatGPT cites brands as sources in 87% of its domain appearances. (Semrush 2026[5])
  • Perplexity averages roughly 8 citations per answer when citing external sources in the large majority of its responses as of 2026. (LLM Pulse 2026[25])
  • Only 11% of domains are cited by both ChatGPT and Perplexity, showing almost entirely separate citation ecosystems. (The Digital Bloom 2025[9])
  • A cross-platform study found that only 7.2% of domains appear in both Google AI Overviews and LLM search results. (Search Engine Land[17])
  • On average, the citation overlap between AI assistants and the top 10 results of both Google and Bing stands at 11%. (Ahrefs 2025[26])
  • On average, 80% of citations in AI assistants do not rank anywhere in Google for the original query. (Ahrefs 2025[26])
  • Nearly 1 in 3 of Perplexity’s citations point to pages that rank in Google’s top 10 for the target query. (Ahrefs 2025[26])
  • A brand’s own websites comprise only 5 to 10 percent of the sources that AI search references. (McKinsey 2025[15])
  • Publishers, user-generated content, and affiliate sites make up more than 65 percent of sources across AI-powered searches in consumer-packaged goods and financial services. (McKinsey 2025[15])
  • Data compiled from 100,000 responses showed that corporate websites receive 78% of citations when AI engines credit sources. (Ranqo 2026[21])
  • A study of AI citations found that ranked best-of listicles are the most-cited content format, representing 21% of citations. (Ranqo 2026[21])
  • Commercial (.com) domains dominated ChatGPT citations, representing 80.41% of total analyzed citations. (Profound 2025[27])
  • Reddit emerged as the top overall source for Google AI Overviews, claiming 2.2% of total citations from August 2024 to June 2025. (Profound 2025[27])
  • Reddit was the leading source on Perplexity, representing 6.6% of total citations from August 2024 to June 2025. (Profound 2025[27])
  • A citation analysis measured ChatGPT citation volumes dropping 86-94% between February and April 2026. (seoClarity 2026[17])
  • Across 59,483 sources cited in 6,310 ChatGPT answers, gartner.com was the most-cited domain, appearing in answers about 162 companies. (Simplitas 2026)
  • For B2B software, ChatGPT cited gartner.com in answers about 60 of 126 companies, in 6.6% of answers, more than 11 other analyst and consultancy firms combined (5.8%). (Simplitas 2026)
  • For B2B software, Gartner was cited in 3.7 times as many ChatGPT answers as Reddit and 12 times as many as Wikipedia. (Simplitas 2026)
  • 65% of ChatGPT’s Gartner citations pointed to Gartner Peer Insights user reviews, while Magic Quadrants and other research documents made up 26%. (Simplitas 2026)
  • Comparison (“X vs Y”) and alternatives pages made up 46% of ChatGPT’s citations of Gartner Peer Insights. (Simplitas 2026)
  • Gartner appeared in 8.1% of ChatGPT answers to shortlist questions but 3.3% of answers to research questions, while analysts and consultancies showed the reverse pattern (10.0% of research answers, 3.9% of shortlist answers). (Simplitas 2026)
  • Reddit’s share of ChatGPT answers citing it fell from 26.7% in April and May 2026 to 2.7% from June to October 2026. (Simplitas 2026)
  • G2’s review network (G2, Capterra, GetApp and Software Advice) appeared in 483 ChatGPT answers against 375 for gartner.com, and in 11.8% of shortlist answers against 8.1%. (Simplitas 2026)
  • An analysis of the world’s biggest news websites in 2025 showed that nearly 80% of top news publishers now block at least one AI training crawler. (Press Gazette 2025[28])

Sentiment, Bias, and Trust: Crucial AI Brand Mentions Stats

Over 60% of global consumers express high trust in generative AI shopping recommendations, though Google AI Overviews are 44% more likely than ChatGPT to surface negative brand sentiment overall.

  • Google AI Overviews are 44% more likely than ChatGPT to surface negative brand sentiment overall. (BrightEdge 2026[7])
  • ChatGPT concentrates its negative brand sentiment near the point of purchase 13 times more heavily than Google. (BrightEdge 2026[7])
  • Google AI Overviews surface negative sentiment in approximately 2.3% of brand mentions overall, while ChatGPT does so in approximately 1.6% of mentions. (BrightEdge 2026[7])
  • Google and ChatGPT flag different brands 73% of the time when responding to identical queries where both engines surfaced negative brand sentiment. (BrightEdge 2026[7])
  • Tracking brand sentiment revealed that positive or negative framing flips 6.7 times more often than the brand is mentioned. (Ranqo 2026[21])
  • More than 60% of consumers surveyed globally express high trust in generative AI results during their shopping journeys. (Boston Consulting Group 2026[29])
  • Eighty-three percent of surveyed consumers report that they trust but verify artificial intelligence chatbot product recommendations. (PartnerCentric 2026[18])
  • Seventy-eight percent of surveyed consumers believe that artificial intelligence shopping recommendations are already influenced by advertisers and brand partnerships. (PartnerCentric 2026[18])
  • Sixty-seven percent of consumers would trust artificial intelligence chatbot shopping recommendations less if they saw ads integrated into them. (PartnerCentric 2026[18])
  • Fifty-eight percent of Generation Z consumers state that they do not trust artificial intelligence chatbots to provide them with the best answers. (PartnerCentric 2026[18])
  • Among non-users of artificial intelligence, seventy percent distrust the information the technology provides. (Menlo Ventures 2026[30])
  • Thirty-six percent of consumers are less likely to engage with content if they know it was generated by artificial intelligence. (Menlo Ventures 2026[30])
  • A 2025 study found that 89% of consumers double-check information provided by artificial intelligence to feel certain before purchase. (IAB and Talk Shoppe 2025[19])
  • In 2025, 88% of consumers stated that transparency about the sourcing of information would boost their trust in AI recommendations. (IAB and Talk Shoppe 2025[19])
  • A 2025 study showed that 87% of consumers believe verified customer reviews would boost their trust in artificial intelligence. (IAB and Talk Shoppe 2025[19])
  • A February 2026 survey showed that 44% of consumers would feel uncomfortable or avoid a brand if AI-driven pricing lacked transparency. (Zamplia 2026[20])
  • In a February 2026 study, 61% of U.S. consumers stated they are more likely to shop with brands that clearly explain how they use AI. (Zamplia 2026[20])

Generative Engine Optimization (GEO) AI Brand Mentions Stats

Implementing Generative Engine Optimization (GEO) strategies can boost a website’s visibility in AI search responses by up to 40%, which has led 92% of marketers to plan content optimization for AI search engines. Utilizing optimized GEO content has become a core element of modern search strategies.

  • A study on Generative Engine Optimization methods showed they can boost a website’s visibility in generative search engine responses by up to 40%. (ACM SIGKDD 2024[31])
  • Princeton research on generative engine optimization shows that citing authoritative sources can improve AI visibility by 40%. (Princeton University 2023[6])
  • Princeton research on generative engine optimization demonstrates that adding statistics and data can boost AI visibility by 37%. (Princeton University 2023[6])
  • Princeton research on generative engine optimization indicates that including expert quotations improves AI visibility by 30%. (Princeton University 2023[6])
  • Princeton research on generative engine optimization found that using precise technical terminology can increase AI visibility by 28%. (Princeton University 2023[6])
  • Implementing proper schema markup on digital content is associated with a 30-40% increase in AI visibility. (Dataslayer 2025[8])
  • Generative engines show a preference for fresh content, citing material that is 25.7% fresher than standard search citations. (Dataslayer 2025[8])
  • A survey of marketers in 2026 found that 92% of respondents plan to optimize their content for AI search. (ConvertMate 2026[32])
  • A benchmarking study in 2026 found that only 40.6% of marketers are currently optimizing their content for AI search. (ConvertMate 2026[32])
  • An assessment in 2026 revealed that 47% of brands lack a generative engine optimization strategy. (Digital Applied 2026[6])
  • A market analysis in 2026 found that up to 40% of traditional search traffic is at risk due to the transition to AI-first discovery. (Sia Partners 2026[33])

Academic Research on AI Brand Mentions Stats Statistics

Peer-reviewed academic studies confirm that when an AI assistant recommends a brand to unengaged consumers, traditional search volume for that brand’s name rises by 4.3 percentage points.

  • For unengaged consumers recommended a brand by an AI assistant, Google searches for that brand’s name rose by +4.3 percentage points. (Iannelli et al. 2026[3])
  • When asked about startups by name, ChatGPT recognized the products almost perfectly, achieving a recognition rate of 99.4%. (Sharma 2026[34])
  • When asked category-based discovery questions about startups, ChatGPT’s success rate in recommending them dropped to 3.32%. (Sharma 2026[34])
  • Audit results show that category-leading brands appear in nearly every retrieval but win only 25-41% of final recommendation slots. (Jack et al. 2026[4])
  • An evaluation of commercial queries across three major AI models showed that the platforms agreed on the top-recommended brand in only 41.6% of cases. (Żatuchin 2026[35])
  • An empirical analysis reveals that AI models ground their brand-related answers in third-party sources for 85.7% of citations. (Zatuchin 2026[36])
  • Moving a query from English to a local brand’s home language increases its recommendation share by 0.80 for local champions. (Żatuchin 2026[37])
  • Audit results show that changing the buyer persona in commercial queries causes mid-market brands to swap up to 75% of their recommendation set. (Jack et al. 2026[38])
  • An empirical study of Chinese generative search engines found that the overall selection rate for brands from the citation pool into answers was 8.3%. (Zhen et al. 2026[39])
  • A joint academic study found that 32.5% of generative engine citations originate from comparison articles. (Princeton University 2025[8])
  • A research study determined that 10% of citations in AI search engines come from opinion pieces and thought leadership content. (Princeton University 2025[8])
  • Joint university research established that 47.9% of top citations in ChatGPT are linked to Wikipedia entries. (Princeton University 2025[8])
  • Research showed that 76.1% of URLs cited in Google AI Overviews are also ranked in Google’s top 10 search results. (Princeton University 2025[8])
  • Academic research revealed that only 12% of ChatGPT citations match Google’s top 10 search results. (Princeton University 2025[8])
  • A collaborative study discovered that 80% of LLM citations do not rank in Google’s top 100 organic search results. (Princeton University 2025[8])
  • Research in 2025 showed that a model combining AI personalization, trust, and experience explains 71% of the variance in online buying behavior. (Advances in Consumer Research 2025[40])
  • A 2025 study demonstrated that AI-driven enhancements in convenience and trust increase consumer engagement and conversion likelihood by 42%. (Advances in Consumer Research 2025[40])
  • A 2025 analysis found that over-automation and data privacy fears act as negative moderators on online buying behavior. (Advances in Consumer Research 2025[40])

Methodology

We compiled 153 statistics from 29 published reports, surveys and industry sources, 8 peer-reviewed papers from PubMed, bioRxiv, medRxiv and arXiv, and Simplitas’s own analysis of 59,483 sources cited in 6,310 ChatGPT answers between April and October 2026. Each figure was checked against the source it links to, and where a report quoted another organisation’s data we linked to the original wherever we could read it. Last updated October 2026.

Cite These Statistics

You are welcome to use any statistic on this page. Please credit Simplitas and link back to this page as the source.

References

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