GEO/AEO/AI Search SEO Studies & Research Database (Live & Updated)

Our live and regularly updated database of all the latest original, data led studies, research and insights relating to AI search & Generative Engine Optimisation (GEO, LLMO, AIO, AEO).

Table of Contents

This article was updated on 18th March 2026

Welcome to our live and regularly updated database of GEO & AI SEO research - where we track, collate and share all of the latest original data led studies and insights from GEO experts into the evolving and fast moving field of GEO/AI SEO (AIO/LLMO/AEO).

If you have research you'd like to submit to be added below, please share it with us here. Note that we don't share opinion pieces, blog posts or how-tos - we only share original, data led research.

Updated: GEO & AI Search Research, Studies & Insights (Chronological Order)

Last Updated: 18th March 2026

Does Ranking Higher on Google Mean You’ll Get Cited in AI Overviews?

Author: Ahrefs
Publish Date: 21/07/2025

Ranking higher on Google increases your chances of being cited in Google’s AI Overviews, but it’s not guaranteed. Ahrefs found a strong correlation - about 50% of #1 ranking pages are cited, but many AI cited sources don’t rank in the top 10 at all. Other factors like content freshness, specificity, and alignment with AI prompts also influence citations. SEO fundamentals still matter, but optimising for AI visibility requires a broader strategy. Since Google Search Console doesn’t show AI citations, tools like Ahrefs' Brand Radar are essential. Success now depends on balancing traditional SEO with AI focused content and monitoring tools.

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AI Overviews Cite AI-Generated Content More Than Human Writing

Author: Ahrefs
Publish Date: 14/07/2025

Ahrefs analysed 38,425 URLs cited in Google’s AI Overviews and found that 48.1% contained detectable AI-generated content, while only 26.8% were primarily human written. A further 25.1% were mixed or undetermined. This suggests Google’s AI Overviews are significantly more likely to cite AI generated pages than human authored ones.

Additional findings:

  • Pages written with tools like ChatGPT, Claude, and Gemini were overrepresented in citations.
  • Content created by human writers using tools like Grammarly or Jasper had lower citation rates.
  • AI generated content was most frequently cited in categories like tech, health, and how-to queries.
  • Sites with high domain authority were still more likely to be cited overall, regardless of content origin.

Ahrefs concludes that content origin (AI vs human) now plays a role in AI visibility, but not in the way many expect. AI written content, when aligned with searcher intent and structurally clear, is thriving in Google's AI outputs.

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AI Overview Analysis & Study of 118M Searches: July 2025

Author: Conductor
Publish Date: 10/07/2025

Conductor’s July 2025 AI Overview study analysed 118 million real search keywords to track how Google’s AI-generated overviews (AIOs) are transforming search results. The report found that 18% of all tracked keywords now trigger an AI Overview - a 29% increase since May and a 112% jump since April. Desktop devices account for 61% of AIOs, with mobile presence stabilizing at 37.5%. Industries most impacted include IT Services (38% of keywords trigger AIOs), Healthcare Equipment & Supplies (36%), Life Sciences Tools & Services (36%), Education Services (35%), and Biotechnology (34%). The largest growth was seen in Healthcare Equipment & Supplies (+24 points since April). Most AIO-triggered searches are informational or conversational. The U.S. leads globally, but international AIO presence is expanding rapidly. The study emphasises the need for brands to optimize content for AI-driven search, as AIOs increasingly dominate visibility across sectors.

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700+ Google Search Console Results Showing Better Rankings But Lower CTRs

Author: Lily Ray / Amsive
Publish Date: 10/07/2025

Lily Ray, Vice President, SEO Strategy & Research at Amsive, shares data showing her analysis of a number of Google Seach Console accounts (over 700) from the last 3 months (May - July 2025), year over year. In the screenshot she shares, she shows a large number of sites which have seen an increase in rankings on Google SERPs, but a decrease in CTR as a result of AI search and overviews.

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Does Being Mentioned on Highly Linked Pages Influence AI Mentions?

Author: Ahrefs
Publish Date: 08/07/2025

Patrick Stox explores whether mentions on well-linked pages (high referring‑domain count) correlate with AI assistant visibility. Analysing ~76.7 million Google AI Overviews, 957 k ChatGPT prompts, and 953 k Perplexity prompts for June 2025, he calculated Spearman correlations between brand mentions and visibility. Results: Google AI Overviews showed a strong correlation (ρ = 0.70), Perplexity a moderate one (0.40), while ChatGPT had a very weak link (0.12). The study suggests that being cited on popular, highly credible sites boosts visibility in Google’s AI feature, whereas other AI systems are less influenced. The author cautions that correlation doesn’t equal causation and indicates that larger-scale studies will follow.

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Google Seems More Biased Towards Big Brands Than ChatGPT and Perplexity

Author: Ahrefs
Publish Date: 07/07/2025

Continuing the theme of brand visibility, this study examines whether the volume of branded web mentions predicts AI visibility. Again using data from Brand Radar across Google AI Overviews, Perplexity, and ChatGPT, it found a strong correlation between mentions and Google’s AI visibility (ρ = 0.65), but much weaker signals for Perplexity (0.30) and ChatGPT (0.15). The implication is that Google’s AI Overviews favour established brands, likely to combat misinformation, while the other systems show less bias. It reinforces Google's longstanding preference for brand trustworthiness as a signal in its AI output.

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AI Mode vs Google Search: The Referral Gap

Author: Garrett Sussman / iPullRank
Publish Date: 04/07/2025

Garrett Sussman shares early insights on Google’s AI Mode using Similarweb data from 100,000 searches (May 20 – June 19). The findings reveal a major drop in clickthrough behaviour: only 5% of AI Mode searches lead to an external site click, compared to 25% in traditional Google Search. However, the number of clicks per session is nearly identical (6.0 for Google, 5.9 for AI Mode), suggesting users who do click may still engage meaningfully. Sussman cautions that friction (extra steps in AI Mode UI) and novelty (users still learning how to use the feature) may be skewing behaviour. He emphasises that this is early-stage data and not yet indicative of long-term patterns, but warns that if AI Mode becomes the default within 6–12 months, the industry must start preparing now.

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Does Being Mentioned on High Traffic Pages Influence AI Mentions?

Author: Ahrefs
Publish Date: 03/07/2025

In this study, "web visibility" is defined as the total organic traffic to pages mentioning a brand. Analysing the same AI data set as prior articles, researchers assessed correlations between web visibility and AI mentions. Findings revealed a moderate correlation for Google AI Overviews (ρ = 0.55), weak correlation for Perplexity (ρ = 0.35), and very weak correlation for ChatGPT (ρ = 0.20). This suggests that brands featured on high-traffic pages increase the likelihood of being cited by Google’s AI summarisation tools, underscoring the value of content visibility and distribution for brand recognition in AI search landscapes.

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AI Traffic Has Increased 9.7x in the Past Year

Author: Ahrefs
Publish Date: 26/06/2025

Ahrefs updates its March 2024 study with data from 81,947 sites, revealing that average AI-driven search traffic has surged roughly 10‑fold while traditional search traffic dropped by ~21%. AI referrals now account for about 0.25% of total site traffic on average - still small, but rapidly growing. Interestingly, AI is now Ahrefs’ highest‑converting channel, delivering over 10% conversion rate. While metrics lump AI and regular search together in analytics tools, the study confirms a major shift: AI-overview features and modes are increasingly influencing traffic distribution. The drop in traditional clicks is tied to zero‑click AI summaries, and there's a call to revisit analytics to better distinguish referral sources and track AI traffic more accurately.

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AI Search Currently Drives Less Than 1% of Traffic To Most Sites

Author: G-Squared Interactive
Publish Date: 25/06/2025

Glenn Gabe analyses AI search traffic using Similarweb clickstream data, comparing it to traditional Google organic traffic. He finds that AI tools like Perplexity and ChatGPT (with SearchGPT) are still driving far less traffic than Google, but their growth is notable - especially for high-ranking, authoritative content. In some cases, Perplexity drives thousands of monthly visits. Key takeaways: Perplexity is more likely to drive direct clicks than ChatGPT (which often references but doesn’t link), and visibility in AI answers doesn’t always translate to traffic. Gabe stresses the importance of branded search terms, featured content, and domain authority to increase AI visibility. While traffic volumes are currently small, trends suggest growing AI influence - and marketers should begin optimising now.

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AI Search Intent Study: What 50M+ ChatGPT Prompts Reveal

Author: Profound
Publish Date: 25/06/2025

Analysing over 50 million ChatGPT prompts, Profound found a sharp drop in informational intents—from around 52% to just 32%. In contrast, transactional and navigation intents have grown, signalling that users now expect ChatGPT to help with tasks—not just deliver information. This “intent shift” challenges traditional SEO strategies, which have emphasised informative content. Profound suggests content creators now need to focus on practical utility—tools, templates, checklists—that fit this new behaviour pattern.

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AI Visitors Visit Fewer Pages and Bounce More Often Than Traditional Search Visitors

Author: Ahrefs
Publish Date: 24/06/2025

Drawing from the same 81,947‑site dataset, this analysis compares AI-source visits (via ChatGPT, Perplexity, etc.) with traditional search traffic. Findings show AI users visit fewer pages (4 vs 5.2 for search) and engage less per session (session duration divided by pages visited = 2.27 for AI vs 2.79 for search). They also bounce more frequently, indicating shallower browsing. The study suggests these visitors are likely seeking targeted answers rather than exploring a site broadly—highlighting a shift in user behaviour that site owners should acknowledge when assessing traffic quality from conversational AI referrals.

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The New Normal

Author: Kevin Indig
Publish Date: 17/06/2025

Kevin Indig explores how AI is reshaping search metrics and strategies, with interesting predictive data on when ChatGPT might overtake Google Search based on modelling various growth rates. He advocates a 360° approach: adjusting to AI-driven query behaviour, evolving measurement frameworks, and closely monitoring emerging KPIs. The memo emphasises preparing for AI Mode’s eventual mainstream rollout and the need to redefine success metrics - away from clicks toward user satisfaction and task completion.

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Does AI Search Traffic Convert Better Than Traditional Search? For Ahrefs, Yes: 0.5% of Visitors Drove 12.1% of Signups

Author: Ahrefs
Publish Date: 16/06/2025

Ahrefs reports that AI search visitors convert 23× better than traditional search visitors: 12.1% of Ahrefs signups stem from AI traffic, despite it only representing about 0.5% of visits. AI-sourced users go through 50% more pages and have lower bounce rates, but spend less overall time onsite. These signals point to higher purchase or signup intent—AI users seem to come more ready to act. The authors caution, though, this trend may not scale linearly as AI becomes more common, and analytics attribution remains imprecise.

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80% of Our AI Search Traffic Goes to Our Homepage, Product Pages, and Free Tools

Author: Ahrefs
Publish Date: 16/06/2025

This analysis of Ahrefs Web Analytics (30‑day timeframe) reveals 80% of AI-sourced visits land on high-intent pages: free tools (36.5%), product pages (23.1%), and the homepage (20.4%). This contrasts with domain advice focused on informational content—AI assistants disproportionately direct users toward conversion-focused or branded pages. A small percentage (~3.6%) even lead to non-existent “hallucinated” pages, mainly from ChatGPT. While “best-of” content and guides still attract AI traffic, brands should optimise high-intent pages for AI visibility. The study also encourages monitoring misdirected AI traffic and setting up redirects for hallucinated URLs.

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86% of Top Mentioned Sources Are Not Shared Across ChatGPT, Perplexity, and AI Overviews

Author: Ahrefs
Publish Date: 12/06/2025

Ahrefs Brand Radar analysed ~76.7M Google AI Overviews, 957k ChatGPT prompts, and 953k Perplexity prompts for June 2025. It found striking divergence in citation sources: only 7 out of the top 50 domains were common to all three platforms—just 14%. Preferences differ by assistant: Google AI leans heavily on authoritative and user-generated sites (Wikipedia, YouTube, Reddit), ChatGPT cites publishers and news outlets, and Perplexity draws from regional and niche sources. This highlights platform-specific algorithmic biases and emphasizes that SEO optimisation should tailor for multiple AI ecosystems, not just Google.

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AI Scraping Is On The Rise. TollBit State of the Bots - Q1 2025

Author: Tollbit
Publish Date: 11/06/2025

TollBit’s updated Q1 2025 report (following on from its Q4 2024 report) shows AI assistant traffic rose 39.8% quarter-over-quarter, now making up 4.7% of total traffic across 2,752 publisher sites. ChatGPT led with 55.3% of identifiable assistant visits, followed by Perplexity (22.7%) and Claude (6.9%). News and health sites continue to see the highest AI-driven engagement. The report also highlights a sharp increase in “shadow AI traffic” - bots with hidden or no user-agent strings - accounting for 62% of all assistant traffic, up from 49% in Q4 2024. This growth signals increasing AI content scraping without attribution or monetisation. TollBit again urges publishers to recognise AI as a traffic source requiring visibility, governance, and monetisation strategies.

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The 10 Most Mentioned Domains for ChatGPT, Perplexity, and AI Overviews Across 78.6M Searches

Author: Ahrefs
Publish Date: 11/06/2025

Ahrefs used its Brand Radar dataset (~76.7 M Google AI Oversees, 957 k ChatGPT, 953 k Perplexity prompts) to identify the top 10 domains most frequently cited by AI assistants. Wikipedia leads overall—16.3% in ChatGPT, 12.5% in Perplexity, and 8.4% in Google AI Oversees—while YouTube ranks high in Perplexity (16.1%) and Oversees (9.5%) but is absent in ChatGPT. Google favours user-generated content (Reddit, Quora) in Oversees (7.4% and 3.6%), whereas ChatGPT emphasises news outlets like Reuters, AP, and AS.com. Impression/potential reach analysis, weighted by search volume, shows institutional and medical sources like Mayo Clinic also hold considerable visibility in Oversees. The findings underline how each AI assistant follows a distinct content citation bias.

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We Studied the Impact of AI Search on SEO Traffic. Here’s What We Learned.

Author: Semrush
Publish Date: 09/06/2025

Semrush examined over 500 SEO and digital marketing query topics to project how AI search will affect traffic and revenue. Their model indicates that by early 2028, AI-sourced visits could surpass traditional search visits for such topics—potentially sooner if Google’s AI Mode becomes the default. This trend suggests AI search's rapid ascension—with significant implications for industry traffic patterns and optimisation strategies.

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Semrush AI Overviews Study: What 2025 SEO Data Tells Us About Google’s Search Shift

Author: Semrush
Publish Date: 05/05/2025

Semrush analysed over 10 million keywords (January–March 2025) to assess the growing prevalence of AI Overviews in SERPs. The share of queries triggering AI Overviews doubled from 6.49% in January to 13.14% in March. These features predominantly appear on informational queries (88.1%), and navigational triggers also doubled. Sector-wise, topics like science (+22.3%), health (+20.3%), people & society (+18.8%), and law & government (+15.2%) saw the highest increases. Surprisingly, zero-click rates for the same keywords decreased slightly after AI Overviews were introduced—suggesting users may still click through after reading a summary. The key takeaway: AI Overviews are reshaping search—marketers must optimise for them to maintain visibility.

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AI Overviews Reduce Clicks by 34.5%

Author: Ahrefs
Publish Date: 17/04/2025

Analysing 300K informational keywords, this Ahrefs study compared CTRs from March 2024 (pre-AI Overviews) and March 2025. Position‑one CTR dropped from 5.6% to 3.1% for those without AI Overviews, while AI Overview-triggering keywords saw CTR fall even more dramatically—from 7.3% to 2.6%. This amounts to an estimated 34.5% CTR reduction attributed directly to AI Overviews. The mechanism resembles Featured Snippets, providing answers directly in the SERP and decreasing traditional link clicks. Despite Google's assertion that links within Overviews get more traction, Ahrefs notes that current tools cannot differentiate these click types. The study warns that as AI summaries become more routine, passive "zero-click" searches will likely increase, further impacting organic traffic.

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Google AI Overviews: New CTR Study Reveals How to Navigate Negative SERP Impact

Author: Amsive
Publish Date: 16/04/2025

This study analysed 700K keywords across five industries and found that the introduction of Google’s AI-generated Overviews has significantly disrupted clickthrough rates. On average, CTR dropped by 15.5%, with non-branded (–19.98%) and lower-ranked keywords (–27.04%) hit hardest. Overlapping Featured Snippets combined with AI Overviews led to an even steeper CTR decline of 37%. Interestingly, branded queries that did trigger an AI Overview saw a CTR increase of 18.7%, suggesting brand credibility can offset visibility loss. The research recommends adapting SEO strategy: aim for top positions but also focus on securing Featured Snippets, optimise for high-intent non-branded queries, and double down on branded content. The takeaway is to recalibrate your SEO playbook for an AI-dominated SERP environment.

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Does Brand Awareness Impact LLM Visibility?

Author: Seer Interactive
Publish Date: 16/04/2025

Seer Interactive analysed correlations between brand mention volume (MSV) and LLM visibility. Overall correlation was modest (ρ ≈ 0.18), second only to Domain Rank (ρ ≈ 0.25). In high-trust verticals like finance, brand awareness appears to meaningfully improve LLM mentions. The conclusion: awareness contributes to LLM visibility, but only in tandem with strong domain authority, backlinks, and credible content. For industries reliant on trust, awareness-building campaigns—PR, expert engagement, publisher mentions—are recommended to boost AI visibility.

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Marketing’s New Middleman: AI Agents

Author: Bain
Publish Date: 14/04/2025

Bain & Company argues that AI agents are fast becoming influential intermediaries between brands and buyers, shifting how consumers and businesses make decisions. These agents don’t just provide information - they make or narrow down choices. This has major implications for marketers, particularly in B2B and high-consideration consumer sectors. Key data and insights include: 28% of consumers have already used generative AI to assist in purchasing decisions. Among these, 70% say it improved decision quality and 63% say it saved time. Bain predicts AI agents will soon dominate early discovery and evaluation stages of the buyer journey.

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AI Scraping Is On The Rise. TollBit State of the Bots - Q4 2024

Author: Tollbit
Publish Date: 24/02/2025

TollBit’s Q4 2024 report analyses 295 million visits across 2,420 publisher sites to track how LLMs and bots interact with web content. The headline finding: traffic from AI assistants and bots increased by 17.2% quarter-over-quarter, now accounting for 3.4% of total traffic. ChatGPT, Perplexity, and Claude led the charge, with ChatGPT visits up 20.7%. News publishers and health sites saw the highest share of AI traffic, with Perplexity disproportionately favouring health content. The report also notes a rise in unidentified bot traffic (up 30.4%), suggesting growing use of non-transparent agents. TollBit emphasises that most of this AI traffic is unmonetised—publishers receive no revenue despite their content powering AI outputs. To address this, TollBit promotes its tooling to help publishers identify AI agents, measure content usage, and control access. The report urges media companies to begin treating AI traffic like a commercial channel and to prepare monetisation strategies accordingly.

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87% of SearchGPT Citations Match Bing’s Top Results

Author: Seer Interactive
Publish Date: 06/02/2025

Seer Interactive found that in SearchGPT (ChatGPT with live search), 87% of citations align with Bing’s top 20 organic results, with many from the first page. In contrast, only around 56% match Google’s top results. This suggests that Bing’s SERP landscape heavily influences ChatGPT’s web citations. The study advises SEO to diversify efforts—tracking Bing alongside Google—and consider partnerships with external trusted publishers.

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Google Triggers 100% More AI Overviews for Longer Queries, New Report from BrightEdge Finds

Author: Brightedge
Publish Date: 30/01/2025

From September to December 2024, the proportion of long-tail queries (eight or more words) triggering AI Overviews doubled, showing Google’s increasing confidence in answering complex questions with AI. Approximately 25% of those longer queries now generate an AI Overview. BrightEdge highlights Google’s ability to handle nuance at scale, and implies SEO strategies must now cater to longer, more conversational queries.

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Marketing Leaders Want to Meet AI Search Head-On: New Survey Results

Author: Botify
Publish Date: 28/01/2025

Botify’s January 2025 survey found marketing leaders recognise the urgency of integrating AI search strategies. Organisations are prioritising structured data, metadata automation, AI-ready indexing, and cross-platform tracking (Google, Bing, ChatGPT). Key initiatives include SmartIndex (real-time AI-friendly indexing), SmartContent (AI-enriched content generation), and SmartLink (automated internal linking), showcasing a strategic shift to support visibility across both traditional and AI search.

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STUDY: What Drives Brand Mentions in AI Answers?

Author: Seer Interactive
Publish Date: 07/01/2025

Seer analysed 10,000 LLM-generated brand-recommendation prompts (mainly finance and SaaS). Page‑1 Google rankings had the strongest correlation with brand mentions (~0.65), followed by Bing (~0.5–0.6). Surprisingly, backlinks and multimedia content had little impact. After filtering out aggregators and forums, correlation strengthened, reinforcing the importance of rankings and PR/partnership strategies. The study suggests that while SERP prominence matters, brands should also invest in PR and partnerships to boost LLM mention likelihood.

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New Report From .Trends & Statista Reveals How AI Search is Changing the Web

Author: Semrush
Publish Date: 02/12/2024

This report provided early market insights, highlighting that as of July 2024, ChatGPT and Google’s Gemini dominate AI search traffic—capturing around 78% between them, with Perplexity and Bing composing the rest. It also noted approximately 13 million US adults had already adopted generative AI as their primary search tool, with projections reaching 90 million by 2027. It confirms AI search isn’t niche—it’s becoming mainstream, demanding adaptation from marketers and content creators.

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We Studied 200,000 AI Overviews: Here's What We Learned

Author: Semrush
Publish Date: 30/10/2024

Focusing on the structure of Google AI Overviews, Semrush analysed how many top‑10 organic URLs appear in AI Overviews. They found low overlap: over 80% of mobile AI Overviews include three or fewer top‑10 results and only 46% of desktop and 34% of mobile Overviews included the #1 organic result. Ads rarely overlap with AI‑shown URLs. This suggests AI Overviews use different selection criteria, meaning high organic rank doesn't ensure an AI citation. Brands have a chance to feature in Overviews even if they aren’t top in classic SEO—communicate expertise clearly to be surfaced by these AI summaries.

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AI Overviews Study: Inside Google's New Search Reality

Author: Botify / DemandSphere
Publish Date: 01/10/2024

Botify’s Q4 2024 report, based on 120 000 SERPs, shows AI Overviews appearing in up to 47% of searches and occupying 75.7% of mobile viewport space when paired with Featured Snippets. Most AI Overview citations come from top‑12 organic rankings, with strong semantic alignment between page content and AI summaries. The study calls for optimising for ranking and content similarity to increase AI Overview placement.

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New Research From BrightEdge Finds Google's AI Overviews Are Getting Smarter

Author: Brightedge
Publish Date: 19/09/2024

BrightEdge’s research reveals Google’s AI Overviews are evolving: they now lean heavily on specialised expert sources, comparative shopping content, and visual modules like carousels. This signals more discerning source selection and richer formats. Additionally, Google’s SearchGPT referral growth is outpacing competitors—underlining that businesses need to target both search ranking and source authority to capture AI visibility.

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AI Overviews: Impact on Google CTR

Author: Seer Interactive
Publish Date: 04/11/2025

Organic CTR for queries with AI Overviews dropped 61% (from 1.76% to 0.61%). Paid CTR dropped 68% (from 19.7% to 6.34%). Even queries without AI Overviews saw organic CTR fall 41%, suggesting broader behavioural change beyond AI Overview presence alone. Brands cited in AI Overviews earned 35% higher organic CTR and 91% higher paid CTR than non-cited brands.

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What Really Drives ChatGPT Citations

Author: SE Ranking
Publish Date: 12/2025

Referring domains are the single strongest predictor of ChatGPT citation. Around 2,500 referring domains correlate with 1.6 to 1.8 citations. Sites with more than 350,000 referring domains average 8.4 citations. Domains active on Trustpilot, G2, Capterra, and Yelp earn 3x more citations than those without profiles. Pages with First Contentful Paint under 0.4 seconds average 6.7 citations versus 2.1 for slower pages. Content updated within the past three months averages 6 citations versus 3.6 for untouched content. LLMs.txt files showed negligible impact.

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AI Overviews and AI Mode Citation Overlap

Author: Ahrefs
Publish Date: 02/2026)

AI Overviews and Google AI Mode cite different sources: only 13.7% of citations overlap between the two features. YouTube mentions and branded web mentions are the top factors correlating with AI brand visibility across ChatGPT, AI Mode, and AI Overviews. AI Overview content changes 70% of the time for the same query, and when it generates a new answer 45.5% of citations are replaced.

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How Users Interact with Google AI Overviews

Author: Pew Research Center
Publish Date: 07/2025

Click-through rate drops from 15% to 8% when an AI Overview is present. Only 1% of searches lead to users clicking a link within an AI Overview. Users end their search session 26% more often when an AI answer appears, compared to 16% for results pages without AI Overviews.

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Zero-Click Search and Google Traffic Growth

Author: Pew Research Center
Publish Date: 07/2025

Click-through rate drops from 15% to 8% when an AI Overview is present. Only 1% of searches lead to users clicking a link within an AI Overview. Users end their search session 26% more often when an AI answer appears, compared to 16% for results pages without AI Overviews.

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Most Cited Domains in AI (3-Month Study)

Author: SemRush
Publish Date: 10/11/2025

ChatGPT cited Reddit in nearly 60% of responses in early August before collapsing to around 10% by mid-September 2025, coinciding with a Google search parameter change. AI Mode consistently cited LinkedIn in nearly 15% of its responses. Forbes doubled its ChatGPT citation rate after September 2025. LLM visitors convert 4.4x better than organic search visitors (also from Semrush July 2025 research, 90% of ChatGPT cited pages rank at position 21 or lower in traditional search).

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You may also like

Generative Engine Optimisation

Is AI traffic higher quality & more likely to convert?

Is traffic or referrals from AI search tools like Perplexity or ChatGPT higher quality and more likely to convert than traffic from Google? Here's what the data says.

This article was updated on 18th March 2026

When this post was written in August 2025, the evidence on AI traffic quality was limited to early studies. There are now multiple primary datasets across different industries and time periods. The direction is consistent: AI referral traffic converts at higher rates than traditional organic for B2B and high-consideration purchases. The effect is weaker or neutral for transactional ecommerce.

The most robust study: Seer Interactive (B2B software, October 2024 to April 2025)

Seer Interactive analysed GA4 data from a single B2B software client across six AI platforms, tracking 1,370 AI-driven conversions against almost 14 million organic sessions. ChatGPT converted at 15.9%, Perplexity at 10.5%, Claude at 5%, Gemini at 3%, versus Google organic at 1.76%. ChatGPT users viewed 2.3 pages per session on average — nearly double the organic search average of 1.2 — suggesting they arrived mid-funnel, having already researched and compared options inside the AI tool.

Ahrefs: first-party data showing 23x conversion rate advantage

Ahrefs published its own internal data in June 2025: AI search traffic accounted for 0.5% of total visits but drove 12.1% of all new signups — a 23x higher conversion rate than organic search. These users also viewed 50% more pages per visit and had lower bounce rates. This is first-party data from Ahrefs on their own site, using Ahrefs Web Analytics.

Semrush: broader cross-industry finding

Semrush's July 2025 research found LLM visitors convert 4.4x better than organic search visitors on average. Their explanation: by the time someone clicks through from a ChatGPT response, the AI has already summarised their options and effectively pre-qualified the visitor. They arrive ready to act, not still browsing.

Microsoft Advertising: Copilot-driven journeys and lower-funnel conversion

Microsoft Advertising's April 2025 analysis found that Copilot-powered purchase journeys are 33% shorter and 76% more likely to lead to lower-funnel conversions than journeys that do not involve Copilot. This is first-party data from Microsoft's own advertising platform.

Important nuance: the effect varies by sector

Not all AI traffic converts equally. Seer Interactive notes their B2B software finding may not generalise to transactional ecommerce where purchase intent is different. Semrush's cross-industry figure of 4.4x is an average across research-heavy and transactional categories. The conversion advantage is most consistent for B2B, SaaS, professional services, and other high-consideration purchases — the exact markets this blog addresses.

Update: Google have shared their own thoughts on quality of traffic coming from AI - read more here.

The increase in use of AI powered tools like ChatGPT, Perplexity, Claude, and Google’s AI Overviews and AI Mode is transforming how users discover content. While traditional SEO has long dominated  organic user acquisition strategies, the emergence of AI-driven answers is shifting the focus and putting more attention on quality over volume.

In a world where attention is scarce and zero-click search is on the rise, the big question is no longer "how much traffic?" but "what kind of traffic?"

Is AI growing it's share of search volume over Google?

We don't believe any brands should be choosing between AI search and Google as if it's a case of having to pick one over the other. SEO is not dead, and Google is not going anywhere. But it's hard not acknowledge the shifting search behaviour, and some of the important differences between SEO and GEO.

Research from clickstream data provider Datos recently highlighted that in the United States, the share of users that went to chatbots rather than traditional search engines reached 5.6% in June, up from 2.48% in June 2024 and 1.3% in January 2024. While Google still commands the lion's share of search activity, the growth of AI tools suggests a new class of traffic is emerging.

Are AI referral traffic conversion rates higher than Google?

Recent studies are starting to uncover a surprising pattern: AI search traffic, while lower in volume, may be significantly higher in quality.

  • Ahrefs (June 2025) reported that AI search accounted for just 0.5% of their total visits, but drove 12.1% of all new signups. That’s a 23x higher conversion rate than organic search.
  • These users also viewed 50% more pages per visit and had lower bounce rates, suggesting higher engagement.

In other words, AI referrals might be smaller in number, but they punch well above their weight.

Platform specific performance: ChatGPT and Perplexity

The picture becomes even clearer when looking at individual AI platforms.

Source: Seer Interactive

A Seer Interactive case study found:

  • ChatGPT accounted for 61% of AI-driven visits, Perplexity ~24%, Gemini ~15%
  • AI visitors viewed an average of 2.3 pages/session compared to 1.2 for Google organic
  • Engagement rates for AI referrals were on par with organic (~60%) but delivered 100% more attributed conversions year-on-year (Seer Interactive)

These tools appear to act as mid-to-late funnel accelerators: users arrive more qualified, more curious, and more ready to act.

Does AI SEO traffic convert higher in B2B SaaS?

We love this data study from Goodie showing a 56.3% higher close rate from leads that originated in AI search agents compared to Google or Bing.

Out of all the platforms analysed, ChatGPT was the most efficient B2B traffic source that they identified with nearly double the lead:close rate of traditional search engines. 

Source: Goodie

For B2B marketers, this means vertical context matters. But even modest AI visibility can yield strong ROI if aligned to the right funnel stage. Whilst Google was still leading top of funnel referral traffic, ChatGPT was clearing referring better quality, ready to convert traffic.

Why do AI referrals convert better?

Several factors may explain the high performance of AI referred traffic over Google referred traffic:

  • LLM tools act as buyer enablement engines: they answer specific questions aligned with real problems
  • Users arrive further down the funnel: often in exploration, comparison, or evaluation stages
  • Less noise, more relevance: AI links are often more direct and intentional than search listings

The result? Higher commercial intent and better conversion efficiency.

Final thought: Smaller volumes, higher stakes

In the age of AI native B2B buyer journeys, it's not just about reaching more people - it's about reaching the right ones. B2B SEO has always been about quality over traffic, but at FirstMotion we think that's more important than ever now.

AI tools may deliver fewer users, but if those users convert at 10x or 20x the rate, the economics shift dramatically. As visibility in these tools becomes more competitive, now is the time to build an AI first visibility strategy that drives revenue, not just rankings.

Tom Batting

August 1, 2025

Generative Engine Optimisation

From Keywords to Conversations: The AI Search Revolution in B2B SaaS

The world of B2B SaaS is built on discovery. Digital transformation has accelerated changes in B2B SaaS discovery, reshaping how buyers and businesses interact with solutions. For years, discovery has meant mastering search engines through traditional SEO: keywords, backlinks, and ranking mechanics. Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic from search engines, helping buyers discover relevant content. But a major shift is underway. Buyers are no longer typing a few words into Google and scrolling through ten blue links. They are asking questions in natural language, expecting instant, context-aware answers, and AI search has created new ways for buyers to discover solutions. This is the AI search revolution, and it is transforming how B2B SaaS companies and businesses are found, evaluated, and chosen. In this article, we explore the behaviour changes driving this shift, how AI search differs from traditional search, what it means across platforms, and the strategic implications for SaaS marketing leaders, including the impact of AI search on B2B SaaS businesses.

The Search Behaviour Shift

The B2B buyer journey has always been research-intensive. A typical SaaS purchase involves multiple stakeholders, months of consideration, and dozens of touchpoints. Traditionally, search engines like Google acted as the gateway to information. Buyers typed in keywords such as “best CRM for mid-sized businesses” or “enterprise project management software” and sifted through results, blogs, and review sites. Today, that same buyer is just as likely to turn to AI search tools. Customers now expect more conversational and context-aware answers from these tools. Instead of typing “best CRM”, they might ask:

  • “Which CRM platforms integrate natively with HubSpot and support AI automation?”
  • “What are the key differences between Salesforce, Pipedrive and Zoho for a 100-person B2B sales team?”

The difference is subtle but profound. Search is no longer about keywords, it’s about conversations. AI-powered engines automatically interpret a wide range of search queries, compare options, and summarise insights instantly. AI-powered search engines use Natural Language Processing (NLP) and Machine Learning (ML) to understand user intent and context. In many cases, buyers receive answers directly in the search results without visiting a given page. This means buyers are reaching informed conclusions faster, with fewer clicks, and often without ever landing on a vendor’s website. For SaaS companies, this shift means visibility and influence are no longer guaranteed by simply ranking high on Google.

Traditional Search Engine Optimization vs AI Search

AspectTraditional SEOAI Search
Primary focusKeywords and rankingBuyer intent and context
Result formatLinks to websitesSummarised answers, comparisons
Ranking signalsBacklinks, site authority, on-page SEOAuthority, structured knowledge, semantic depth
User actionMultiple clicks and researchOne conversational query
Content type rewardedBlog posts, keyword-optimised landing pagesIn-depth expertise, structured documentation, conversational answers

Indexing and file management practices have evolved in AI search, with less emphasis on manual control of files and more on structured data and semantic understanding.

Traditional SEO rewarded content volume, technical optimisation, and backlinks. It relied heavily on PageRank, indexing, and managing files and URLs to ensure visibility in search results. For example, managing multiple URLs and same content was crucial, specifically through canonical tags and redirects to consolidate link equity and avoid duplicate content issues. Writing content and creating content remain important, but the focus has shifted toward authority and clarity. The choice of domain and descriptive URLs can still influence search visibility, especially when targeting specific markets or improving user experience. Creating compelling and useful content influences a website’s presence in search results more than any other SEO suggestions. It is less about chasing every keyword and more about ensuring your solution is consistently represented in AI-generated answers.

Platform Differences

PlatformAI Search ImpactSaaS Marketing Implication
Google SGEContextual overviews and comparisons in search resultsFocus on structured content and schema markup
ChatGPT, Perplexity, ClaudeSynthesis of answers from multiple sourcesEnsure documentation, thought leadership and comparisons are widely accessible
G2, Capterra, TrustRadiusFrequently cited as authoritative sourcesBuild reviews, manage sentiment, encourage customer advocacy
LinkedIn, Reddit, XPeer conversations summarised in AI responsesInvest in thought leadership and community presence

AI search is not one monolithic channel. It manifests differently across Google’s SGE, independent AI tools, review platforms, and social networks. SaaS marketers must consider visibility across all these points of influence. Providing access to valuable resources across platforms is essential for enabling member participation and keeping users informed.

Connecting different types of content, including forum posts and other user-generated resources, can enhance visibility in AI search by improving discoverability and supporting ranking considerations.

Strategic Implications for B2B SaaS

ImplicationWhy It MattersPractical Steps
Authority & ExpertiseAI references trusted voicesPublish expert insights, technical guides, case studies, and focus on building strong relationships with clients and partners
Structured DataAI uses schema and structured docsImplement schema, publish comparison tables, improve documentation
Review PlatformsAI cites reviews frequentlyEncourage reviews, manage profiles, drive sentiment
Content StrategyConversational queries matterWrite for humans and AI, answer niche buyer questions
New MetricsRankings are not enoughTrack AI citations, share of voice in generative search
Brand StrengthRecognition influences trustInvest in PR, thought leadership, and consistent messaging. Highlight your company's ability to adapt and aim for leadership in AI search.

The shift to AI search demands a broader strategy. SaaS companies must optimise for authority, structure, and presence across multiple platforms, while measuring success in new ways. It is also important to promote your company and services both online and offline to maximize reach and brand impact.

From Search to Conversations

The AI search revolution is not about the death of SEO, but its evolution. Traditional SEO principles — clarity, relevance, authority — still matter. But they must be reframed through the lens of conversations, not keywords. For B2B SaaS companies, this is both a challenge and an opportunity. The challenge lies in adapting fast: rethinking content strategies, investing in structured knowledge, and diversifying presence beyond Google.

With the introduction of AI mode in search engines, which leverages the web using a query fan-out technique to break down search queries into sub-topics, answers are generated with greater relevance and depth. AI-generated content is created by synthesizing information from across the web, drawing on a vast array of sources to provide comprehensive responses. Large Language Models enable AI-powered search to generate original content or summaries by synthesizing information from multiple sources.

The opportunity is clear: those who embrace AI search early will capture disproportionate visibility, shaping buyer perceptions before competitors catch up. The companies that thrive will be those that understand a simple truth: in B2B SaaS, discovery is no longer about being the loudest voice on Google. It’s about being the trusted answer wherever buyers ask their questions.

Measuring Success in Modern Search

In the rapidly changing world of search engine optimization, understanding how to measure success is more important than ever. As search engines evolve and user expectations shift, relying solely on traditional metrics like keyword rankings or organic traffic no longer provides a complete picture. Modern SEO requires a broader approach—one that explores how your content is discovered, cited, and engaged with across a variety of search platforms.

To effectively gauge the impact of your SEO efforts, focus on insights that reflect the true nature of today’s search environment. This includes tracking how often your brand or website is referenced in AI-generated search results, monitoring user engagement with your content, and analyzing the visibility of your pages across multiple search engines and conversational platforms. Additionally, consider metrics such as share of voice in industry-specific queries, the quality and relevance of inbound links, and the frequency with which your resources are included in curated lists or directories.

By exploring these modern KPIs, businesses can gain a deeper understanding of their search performance and make data-driven decisions to optimize their strategies. The key is to move beyond surface-level numbers and focus on the insights that truly matter—how users are finding, interacting with, and trusting your content in an increasingly complex digital landscape.

FAQs

1. Will SEO still matter in the age of AI search?
Yes. SEO remains critical, but its focus is evolving. Technical SEO, site performance, and structured content all remain relevant. However, content must be designed to be cited by AI systems, not just ranked by Google.

2. How can B2B SaaS companies measure success in AI search?
Beyond traditional rankings, SaaS marketers should track how often their brand is mentioned in AI-generated responses, presence on review platforms, and share of voice in conversational search engines like ChatGPT or Perplexity.

3. What type of content performs best in AI search?
AI engines prefer clear, structured, and authoritative content. This includes product comparison tables, API documentation, in-depth guides, customer case studies, and thought leadership that directly answers buyer questions.

Tom Batting

October 3, 2025

Generative Engine Optimisation

What GPT-5 Means for SEO & AI Search (GEO/AEO)

This article was updated on 18th March 2026

Updated March 2026 - What actually happened after GPT-5 launched

This post was written on August 8, 2025 - the day GPT-5 launched - and contained our initial analysis. Now that GPT-5 has been live for several months, we can compare those predictions against what has actually happened.

What OpenAI confirmed at launch

GPT-5 launched on August 7, 2025. OpenAI stated that responses with web search enabled are approximately 45% less likely to contain a factual error than GPT-4o, and around 80% less likely when using extended thinking mode. OpenAI positioned it as the first model to meaningfully unify reasoning and real-time retrieval in a single system.

What the traffic data now shows

The zero-click risk predicted in the original post is now measurable. Seer Interactive's November 2025 study of 3,119 informational queries across 42 organisations found organic CTR for queries with AI Overviews dropped 61% (from 1.76% to 0.61%) between June 2024 and September 2025. Even queries without AI Overviews saw a 41% CTR decline - suggesting users are going to ChatGPT and other AI tools before they even reach Google.

What this means for the original analysis

The predictions in the post below have largely held. The citation upside is real - Seer found that brands cited in AI Overviews earn 35% higher organic CTR and 91% higher paid CTR than uncited brands. SE Ranking's December 2025 study of 129,000 domains confirmed that referring domains are the single strongest predictor of ChatGPT citation.

When GPT-4 launched in March 2023, it was the first time many marketers realised that search might not be confined to Google forever. GPT-5, released in August 2025, makes that shift feel permanent.

It is not just a better chatbot – it is a new search layer, with its own retrieval system, ranking logic, and bias towards certain content types.

How does GPT-5 change SEO and visibility?

OpenAI has improved reasoning, accuracy, and long-context handling in GPT-5, but the more important change for SEO is behind the scenes.

The search experience is faster, citations are cleaner, and sources feel more intentionally selected. It is also more agent like - able to follow instructions across multiple steps - but the most impactful change is how it retrieves and ranks results.

How GPT-5 search actually works

If you assume GPT-5 is just passing your query to Google or Bing, things are in reality a bit more complex than that.

    • GPT-5 almost certainly uses a proprietary meta layer rather than raw SERP feeds go get its results.
    • Results seem to sometimes overlap more with Bing results than Google, but whilst also pulling from lots of other sources, re-ranking, changing the order of things etc. So it does not always mirror the search engine results page.
    • It appears not to be able to access live Google search results page, but it does seem to be able to access a Bing SERP if provided an exact URL.

Have a read of this great round up by Josh from Profound for more technical insights.

Why GPT-5 matters for SEO

With GPT-5 it seems more apparent than ever that there is not always a link between ranking highly on Google and being visible in AI results.

Optimisation for SEO/AEO/GEO now means thinking about AI search as a standalone channel – one where:

    • Authority is measured across multiple engines and ecosystems.
    • Content must be easily parsed, summarised, and cited by an LLM.
    • Being present on other trusted domains can matter as much as your own site.
    • Structured, context-rich content outperforms thin keyword-driven pages.

The risk of AI search for marketers

Zero click behaviour is likely to intensify. GPT-5’s improved answers mean users may never need to visit the source. That puts more pressure on measuring exposure in generative answers, not just traffic/clicks.

It also means you cannot assume that you will be highly visible in AI tools like ChatGPT even if your traditional SEO rankings stay strong – because the ranking logic is not exactly the same.

GPT-5 is not simply a better ChatGPT - it is a more sophisticated search engine in its own right, with a proprietary retrieval and ranking layer. Whilst it's still important to focus on SEO, the mindset shift, approach to measurement and more granular Answer Engine Optimisation/Generative Engine Optimisation approaches are key.

Tom Batting

August 8, 2025