“Brands that appear in AI-generated answers win more deals than brands that rank first on Google.”

She added, "However, even though ChatGPT visitors converted at more than 4.5x the rate of Google organic visitors, Google still drove 96.5% of the total conversions across all channels analyzed." Also while ChatGPT visitors converted better at 13.8% vs 3.02% for Google organic, Google still drove 27x more conversions than all the other LLMs combined. … SEO Works found that organic search delivered 39 times more traffic than AI assistants and for every 100 conversions organic search delivered, AI referrals delivered 3.2.Marie wrote, "I looked at 12 months of GA4 data across 100 different websites of varying sizes with over 145 million sessions. In this dataset, sessions from ChatGPT amounted to just 0.62% of the volume driven by Google organic." She added, "However, even though ChatGPT visitors converted at more than 4.5x the rate of Google organic visitors, Google still drove 96.5% of the total conversions across all channels analyzed." Also while ChatGPT visitors converted better at 13.8% vs 3.02% for Google organic, Google still drove 27x more conversions than all the other LLMs combined. She showed this visually in this graphic: SEO Works found that organic search delivered 39 times more traffic than AI assistants and for every 100 conversions organic search delivered, AI referrals delivered 3.2. It also said, "AI referral traffic converts worse against paid search (0.67x) and better against direct traffic (2.48x)." Here is a chart from SEO Works:

ChatGPT ads generated 64% less revenue per visit than Google Search ads, according to a new study of nearly 1,900 websites. … ChatGPT ads generated less revenue. In U.S. traffic, paid ChatGPT visits generated $0.89 per session, compared with $2.45 for Google Search ads. - Conversion rates: ChatGPT ads converted at 0.37%, compared with 1.17% for Google Search ads. - Advertiser results: Of 87 advertisers using both channels, 97% earned less revenue per ChatGPT visit.Published: November 2, 2026 at 12:15 pm ChatGPT ads generated 64% less revenue per visit than Google Search ads, according to a new study of nearly 1,900 websites. The October working paper by researchers at WU Vienna and Frankfurt School of Finance & Management also examined how advertising affected unpaid ChatGPT referrals. Why we care. ChatGPT ads offer another way to reach potential customers, but early results suggest those clicks generate less revenue than Google Search ads. Advertisers need to compare revenue and conversions against the cost of each click. ChatGPT ads generated less revenue. In U.S. traffic, paid ChatGPT visits generated $0.89 per session, compared with $2.45 for Google Search ads. - Conversion rates: ChatGPT ads converted at 0.37%, compared with 1.17% for Google Search ads. - Advertiser results: Of 87 advertisers using both channels, 97% earned less revenue per ChatGPT visit. - ChatGPT ads would need to cost about $0.26 per click to match Google Search’s return on ad spend, researchers estimated. - One publicly disclosed ChatGPT advertiser reported paying $1.72 per click. Organic ChatGPT referrals may have declined. Unpaid ChatGPT referrals fell an estimated 5.9% in the first 13 weeks after ads launched, compared with markets without ads. However, the decline wasn’t statistically significant.

In G2's 2026 AI search report, 51% of 1,076 B2B software buyers said they now start research with an AI chatbot more often than with Google, up from 29% a year earlier. Sixty-nine percent said a chatbot surfaced information that led them to a different vendor than the one they expected. … The vendors that map the full range of questions first decide which answers they appear in. Everyone else learns about it from their win-loss reports.None of those vendors would have noticed. Their AI visibility reports typically track a few dozen prompts, most of them keywords rewritten as questions, and a how-to question with no brand name in it rarely makes the list. That blind spot gets more expensive every quarter. In G2's 2026 AI search report, 51% of 1,076 B2B software buyers said they now start research with an AI chatbot more often than with Google, up from 29% a year earlier. Sixty-nine percent said a chatbot surfaced information that led them to a different vendor than the one they expected. Buyers are changing their minds inside answers most vendors never see. Why Do AI Visibility Reports Miss Unbranded Buyer Questions? … Format matters inside each of those. CMSWire's review of what drives AI citations points to question-first structure, sourced data and fresh pages. Buyers will keep asking questions no keyword tool has recorded, in words no marketing team would choose, and the assistant will answer with or without the brand. HubSpot's help content is already answering for a whole category. The vendors that map the full range of questions first decide which answers they appear in. Everyone else learns about it from their win-loss reports. Learn how you can join our contributor community.

ChatGPT referral traffic converts worse than Google search, email and affiliate links, trailing on both conversion rate and revenue per session, according to a new analysis of 973 ecommerce sites. … For now, Google (paid organic) search still wins on conversion and revenue per session. … Affiliate (+86%) and organic search (+13%) conversion rates were higher than ChatGPT; only paid social converted worse than ChatGPT.Published: October 23, 2025 at 11:52 am ChatGPT referral traffic converts worse than Google search, email and affiliate links, trailing on both conversion rate and revenue per session, according to a new analysis of 973 ecommerce sites. Why we care. AI search platforms are starting to refer meaningful traffic to retailers – but not yet sales. For now, Google (paid organic) search still wins on conversion and revenue per session. By the numbers. The dataset consisted of 12 months (Augusut 2024 to July 2025), 973 ecommerce sites, and $20 billion combined revenue. - ChatGPT referral traffic was ~0.2% of total sessions – ~200× smaller than Google organic. - >90% of LLM-originating ecommerce traffic came from ChatGPT (Perplexity, Gemini, Copilot, etc., are were negligible). - Affiliate (+86%) and organic search (+13%) conversion rates were higher than ChatGPT; only paid social converted worse than ChatGPT. - ChatGPT trailed paid and organic search on revenue per session, but beat paid social. - ChatGPT referrals had lower bounce rates than most channels, but organic/paid search was still best on bounce rate. Session depth was generally lower than most channels. Trendline. …

People who find brands through AI are 3-6x more likely to buy compared to regular Google search. Yet only 15% of brands get more than 80% of these high-converting recommendations. … You can be #1 on Google and completely invisible in ChatGPT. Being good at Google SEO doesn't mean AI will recommend you. AI systems use different signals than traditional search engines.SAN FRANCISCO, Feb. 18, 2026 /PRNewswire/ -- When someone asks ChatGPT or Perplexity to recommend a product, which brands does AI mention? A new study from Erlin shows a concentration pattern: the same brands appear repeatedly in AI answers, while most brands appear rarely or not at all. People who find brands through AI are 3-6x more likely to buy compared to regular Google search. Yet only 15% of brands get more than 80% of these high-converting recommendations. Erlin tracked 500 brands for six months across ChatGPT, Claude, Gemini, and Perplexity. The study found a 9× visibility gap between brands that optimize for AI visibility and those that do not. … By 2028, AI will handle 75% of all Google searches, according to McKinsey research. That means $750 billion in US revenue will flow through AI recommendations instead of traditional search results. You can be #1 on Google and completely invisible in ChatGPT. Being good at Google SEO doesn't mean AI will recommend you. AI systems use different signals than traditional search engines. What makes AI recommend one brand over another?

AI chatbots are now the top source influencing buyer shortlists, ahead of review sites, analyst firms, and vendor websites — and 69% of buyers chose a different vendor than initially planned, simply because it was part of the chatbot’s recommendation. Perhaps just as shocking to marketing leaders is that one in three purchased from a vendor they'd never previously heard of. Winning the answer in AI chat now directly equates to the final decision.Simply being mentioned by an AI chatbot carries real weight; 85% of buyers think more highly of a vendor when AI includes them in an answer. That’s likely because they trust the validation work that the chatbot has done to find trust signals about your brand. But the inverse is equally true: if AI leaves you out of the response, the buyer may not even know you exist.It all comes back to being the most trusted source. AI chatbots are now the top source influencing buyer shortlists, ahead of review sites, analyst firms, and vendor websites — and 69% of buyers chose a different vendor than initially planned, simply because it was part of the chatbot’s recommendation. Perhaps just as shocking to marketing leaders is that one in three purchased from a vendor they'd never previously heard of. Winning the answer in AI chat now directly equates to the final decision. Today's buyer isn't casually browsing. They're running head-to-head vendor comparisons and getting beyond the basic education-based prompts that we used to expect.

A frequently-cited marketing statistic claims the average AI-search-referred visitor converts 4.4 times better than the average organic-search visitor — a figure Semrush published in a June 2025 study of 500+ high-value B2B topics, reported by MarTech. … A separate, peer-reviewed study published in the journal Marketing Science — analyzing 12 months (August 2024–July 2025) of first-party data from 973 e-commerce websites with a combined $20 billion in revenue, comparing more than 50,000 ChatGPT-referred transactions against 164 million transactions from traditional channels — found the opposite for that industry: ChatGPT-referred traffic converted worse than organic search, with revenue per session roughly 13% lower (Kaiser and Schulze, Marketing Science, reported by Digital Commerce 360). … It's also a reminder that conversion rate and visibility are two separate scoreboards — getting an AI tool to mention you at all is its own discipline, distinct from what happens after someone clicks through, and neither of the studies above says anything about the first one.Surfaces our work more for you across Google Search and AI answers. > Quick read: A frequently-cited marketing statistic claims the average AI-search-referred visitor converts 4.4 times better than the average organic-search visitor — a figure Semrush published in a June 2025 study of 500+ high-value B2B topics, reported by MarTech. A separate, peer-reviewed study published in the journal Marketing Science — analyzing 12 months (August 2024–July 2025) of first-party data from 973 e-commerce websites with a combined $20 billion in revenue, comparing more than 50,000 ChatGPT-referred transactions against 164 million transactions from traditional channels — found the opposite for that industry: ChatGPT-referred traffic converted worse than organic search, with revenue per session roughly 13% lower (Kaiser and Schulze, Marketing Science, reported by Digital Commerce 360). Both studies are real. They measured different industries with different methods, which is exactly why quoting either one as a universal truth is misleading. It's the slide that keeps turning up in agency pitch decks: "AI search traffic converts 4.4x better than Google," bold text, no source, no fine print. So should you stop worrying about your Google ranking and pour everything into AI search instead? … Nobody was fabricating numbers. Everybody was choosing which true thing to lead with. The lesson isn't "don't trust studies." It's that a single multiplier, lifted out of its original scope and dropped into a pitch deck, tells you almost nothing about what happens on your specific website, in your specific industry, for your specific customer. It's also a reminder that conversion rate and visibility are two separate scoreboards — getting an AI tool to mention you at all is its own discipline, distinct from what happens after someone clicks through, and neither of the studies above says anything about the first one. What to check on your own site instead

And here’s the headline: Our research shows that AI chatbots are now the #1 source influencing vendor shortlists. … B2B software buyers are making the leap to AI search. 79% of software buyers say AI search has changed how they conduct research, and about 3 in 10 are more productive with AI search than traditional search, and start research with AI search more often than Google. … Credible, trusted sources influence vendor shortlists the most. GenAI chatbots are the number one source influencing vendor shortlists (17.1%), followed closely by software review sites (15.1%). These sources rank above vendor sites (12.8%), market research firms (10.6%), peers/colleagues (8.9%), and salespeople (8.8%), among others.I wanted to share some highlights and insights from the 2025 G2 Buyer Behavior Report, our global survey of B2B software buyers. This year's report highlights how drastically buyer behavior and preferences have transformed in just the last eight months, thanks to AI. And here’s the headline: Our research shows that AI chatbots are now the #1 source influencing vendor shortlists. We interviewed 1,100 B2B decision-makers globally, and the results confirm what many of us have been feeling: AI is no longer optional or experimental. It now stands for "Always Included." For CMOs, that means a fundamental shift to our go-to-market (GTM) playbooks as our buyers’ behavior has changed. … #### Research: Buyers start on LLMs, not Google. B2B software buyers are making the leap to AI search. 79% of software buyers say AI search has changed how they conduct research, and about 3 in 10 are more productive with AI search than traditional search, and start research with AI search more often than Google. Review sites and AI search are top research sources for enterprises. Enterprise buyers — those at companies with 1,000-5,000 employees — say review sites (56%) and AI search (55%) are their top 2 sources when researching software products and services. … #### Evaluation: Shortlists are continuing to get shorter. Credible, trusted sources influence vendor shortlists the most. GenAI chatbots are the number one source influencing vendor shortlists (17.1%), followed closely by software review sites (15.1%). These sources rank above vendor sites (12.8%), market research firms (10.6%), peers/colleagues (8.9%), and salespeople (8.8%), among others. If you want to make the shortlist, you have to know what will get you there and which channels to invest in to position you as a high-influence leader. You must also win trust, authority, and sentiment in the decision phase. That means it’s time to swing back in brand. How? …

Already, 44 percent of AI-powered search users say it’s their primary and preferred source of insight, topping traditional search (31 percent), retailer or brand websites (9 percent), and review sites (6 percent). 5 That means that while search engine optimization (SEO) has been at the center of marketing strategy in recent years, gen AI engine optimization (GEO) will now need to be a key component of any holistic marketing and digital strategy going forward to maintain coverage across the touchpoints consumers use to make decisions (Exhibit 4). … In major categories such as credit cards, hotels, electronics, and apparel, top brands can be absent from some answers across top AI-powered search platforms, including Google AI Overview. 7 As such, some brands may have lower share on AI-powered search versus where we would expect them to be based on market share and performance on traditional search (Exhibit 6).Prevents excessive inward rolling The implications of this shift are clear. Already, 44 percent of AI-powered search users say it’s their primary and preferred source of insight, topping traditional search (31 percent), retailer or brand websites (9 percent), and review sites (6 percent). 5 That means that while search engine optimization (SEO) has been at the center of marketing strategy in recent years, gen AI engine optimization (GEO) will now need to be a key component of any holistic marketing and digital strategy going forward to maintain coverage across the touchpoints consumers use to make decisions (Exhibit 4). 5McKinsey’s AI Discovery Survey, August 2025, n = 1,927. … Gen Z has a higher preference for social media (14%) To influence the myriad of sources utilized by AI-powered search and inform the marketing road map, brands need to understand what questions consumers are asking and which sources are shaping answers. And they need to continually keep pace as LLMs evolve. Few brands do that today. In major categories such as credit cards, hotels, electronics, and apparel, top brands can be absent from some answers across top AI-powered search platforms, including Google AI Overview. 7 As such, some brands may have lower share on AI-powered search versus where we would expect them to be based on market share and performance on traditional search (Exhibit 6). The bottom line? Traditional brand strength is no indicator a brand is ready to compete in the new world of AI-powered search. Visibility is not guaranteed.

The real story isn’t that AI is replacing traditional SEO, it’s that Google organic search still drives the overwhelming majority of traffic, leads, and revenue for most businesses. … What’s particularly telling is conversion data. The leads and sales that keep businesses profitable still come overwhelmingly from traditional search traffic. AI users may demonstrate higher engagement, but they represent such a small percentage that Google organic remains the primary growth engine.- AI-driven search traffic represents less than 1% of total traffic for most websites. - Meanwhile, Google still processes 14 billion searches daily compared to ChatGPT’s 2.5 billion prompts, which we all know a prompt is not always the same as an actual search so the percentage would be significantly lower. The real story isn’t that AI is replacing traditional SEO, it’s that Google organic search still drives the overwhelming majority of traffic, leads, and revenue for most businesses. While everyone’s chasing AI optimization “hacks” and worrying about the latest algorithm changes, the fundamentals that built your search success remain your best investment for actual business results. … When you examine traffic sources in GA4, you’ll likely find Google traffic representing 40-60% of total traffic for most businesses while AI sources remain barely visible in reports. What’s particularly telling is conversion data. The leads and sales that keep businesses profitable still come overwhelmingly from traditional search traffic. AI users may demonstrate higher engagement, but they represent such a small percentage that Google organic remains the primary growth engine. SEO fundamentals still drive results

In research Kevin conducted with AirOps, ranking number one for a fan-out query earned 58% of citations. That was four times more than the result ranking number ten. … Users carry some of their classic search behavior into AI search. When AI Mode presents a shortlist, users choose the first result roughly 74% of the time. But trust is the stronger signal. When users recognize and trust a brand on the shortlist, its position matters much less. A trusted brand can appear lower in the list and still win the decision.The first shift is from thinking only about prompts to thinking about rank. In research Kevin conducted with AirOps, ranking number one for a fan-out query earned 58% of citations. That was four times more than the result ranking number ten. The implication is straightforward: teams trying to improve AI visibility should still start by looking at classic search performance. Are the pages that matter ranking in Google or Bing? Are they gaining or losing visibility? Are they competitive for the queries that models are likely to fan out into related searches? … ### 2. Trust Can Beat Position Users carry some of their classic search behavior into AI search. When AI Mode presents a shortlist, users choose the first result roughly 74% of the time. But trust is the stronger signal. When users recognize and trust a brand on the shortlist, its position matters much less. A trusted brand can appear lower in the list and still win the decision. That changes how marketers should think about visibility. The goal is not only to rank highly in an answer. It is to become a brand users already know when the answer appears.

Instead of running a Google search, opening a list of links, comparing competing claims, and building a shortlist from scratch, buyers are now asking AI to do much of that analysis for them. … Because when AI helps a buyer decide what matters, the brands included in the answer will have an advantage long before that buyer reaches any vendor website.And the shift is only accelerating. Instead of running a Google search, opening a list of links, comparing competing claims, and building a shortlist from scratch, buyers are now asking AI to do much of that analysis for them. It can explain a category, recommend products, compare vendors, and help determine what deserves further consideration. And it can do all of that based on the latest market insights, independent product reviews, customer feedback, and expert opinions from across the digital landscape. … That requires a coordinated approach to AI Visibility across buyer-question research, owned content, AEO, and credible third-party validation. Because when AI helps a buyer decide what matters, the brands included in the answer will have an advantage long before that buyer reaches any vendor website. Build an AI visibility strategy for the entire journey

And the brands that show up in these AI-generated answers are converting visitors at 4.4x the rate of traditional organic traffic, per Semrush's analysis of 12 million visits. … The conversion story makes this even more urgent. Semrush's analysis of 12 million website visits found that AI-referred visitors convert at 4.4x the rate of traditional organic visitors. Ahrefs reported an even more dramatic number for their own site: AI-referred visitors converted at 23x the rate of organic visitors. … The Ahrefs study found that the top organic result has 34.5% lower CTR on queries with an AI Overview compared to similar queries without one, and a December 2025 follow-up showed this had worsened to a 58% CTR reduction.2026 benchmark report on AI brand visibility: platform adoption data, industry rankings, authority signals, and what high-visibility brands do differently. Half of all B2B buyers now start their research with AI chatbots instead of Google, according to G2. AI-referred sessions are up 527% year-over-year. And the brands that show up in these AI-generated answers are converting visitors at 4.4x the rate of traditional organic traffic, per Semrush's analysis of 12 million visits. This isn't a trend anymore. It's a structural shift in how buyers find, evaluate, and choose vendors. … The gap between brands that act now and those that wait is widening with every quarter. The conversion story makes this even more urgent. Semrush's analysis of 12 million website visits found that AI-referred visitors convert at 4.4x the rate of traditional organic visitors. Ahrefs reported an even more dramatic number for their own site: AI-referred visitors converted at 23x the rate of organic visitors. Whether the number is 4x or 23x varies by site, but the direction is consistent. People arriving from AI recommendations are further along in their decision process. For B2B companies specifically, the implications are even more striking. Half of B2B buyers start with AI chatbots before Google, according to G2. … Google AI Overviews and AI Mode use Google's existing index and Knowledge Graph. Traditional SEO signals like domain authority, backlinks, and structured data still carry weight. Google AI Overviews now appear in over 30% of Google searches, making this the highest-volume AI citation opportunity for most brands. The Ahrefs study found that the top organic result has 34.5% lower CTR on queries with an AI Overview compared to similar queries without one, and a December 2025 follow-up showed this had worsened to a 58% CTR reduction. Brands not cited in AI Overviews lose twice: they miss the AI citation and their organic listing underperforms. Dimension · ChatGPT · Perplexity · Google AI Overviews --- · --- · --- · --- · …

AI leads have “better” website conversion rates but are driving much lower B2B deal values compared to Google 💰 … For this B2B client, organic search (Google & Bing) delivered significantly higher deal values, ranging from $100K to $300K compared to AI leads at ~$5.4K. … This 37x difference in average deal size demonstrates that organic search is attributable to more qualified, enterprise-level buyers ready for substantial investments, while AI leads typically yield smaller, exploratory purchases.And does this actually drive better customer acquisition down the funnel? AI leads have “better” website conversion rates but are driving much lower B2B deal values compared to Google 💰 In the trailing 12 month period, my client (mid-market B2B SaaS) saw a huge difference in peak month ARR performance: … - Organic Search = $1.2M ARR - AI Search = $85K ARR For this B2B client, organic search (Google & Bing) delivered significantly higher deal values, ranging from $100K to $300K compared to AI leads at ~$5.4K. This 37x difference in average deal size demonstrates that organic search is attributable to more qualified, enterprise-level buyers ready for substantial investments, while AI leads typically yield smaller, exploratory purchases. Why does AI search drive higher website conversion rates?

Brands named first are 389% more likely to be searched … Brands recommended as "best" or "top" are 425% more likely to be searchedIn terms of where your brand falls in the answer: - Brands named first are 389% more likely to be searched - Brands named mid-answer are 148% more likely to be searched - Brands named last are 50% more likely to be searched And in terms of framing: - Brands recommended as “best” or “top” are 425% more likely to be searched - Brands recommended in plain language are 128% more likely to be searched Don’t let outdated analytics steer you off course

Boasting a “Rank #1 in Google” is not enough for discoverability within AI environments. The metric will remain relevant in blue-link environments, but vendors should start refocusing or (better) enhancing traditional SEO with GEO strategies to significantly improve their chances of being surfaced by answer engines.To succeed in zero-click environments in 2026, vendors and marketers must shift toward Generative Engine Optimization (GEO) to ensure AI-alignment and consequent discoverability, as well as deliver “instant credibility” early in the discovery process to pass the extremely narrow, AI-imposed verification window – which is now seconds, not sessions. Boasting a “Rank #1 in Google” is not enough for discoverability within AI environments. The metric will remain relevant in blue-link environments, but vendors should start refocusing or (better) enhancing traditional SEO with GEO strategies to significantly improve their chances of being surfaced by answer engines. In other words, having an AI-legible website/content is no longer optional – it is becoming a standard for new-age demand capture. In addition, AI is compressing the top of the funnel. Instead of spending days or weeks comparing solutions, buyers are now reaching shortlists and decisions within minutes – meaning that vendors have the absolute minimal time to influence buyer perception.

A business can be first on Google and still go unnamed when a buyer asks ChatGPT the same question. In Discoverable's UK AI Shortlist Study, ChatGPT did not name the business at Google's first organic position in 72.5% of eligible answers. … The research did not measure lost sales, decide which supplier deserved a recommendation or establish why particular businesses appeared. It measured whether Google-visible businesses were named in the answers collected.By Jonathan David· 16 September 2026· Editorial standards A business can be first on Google and still go unnamed when a buyer asks ChatGPT the same question. In Discoverable's UK AI Shortlist Study, ChatGPT did not name the business at Google's first organic position in 72.5% of eligible answers. 72.5% … To explore that difference, we also restricted the ChatGPT comparison to answers that named at least one supplier from the matching Google top ten. In that narrower set, the number-one business went unnamed in 54.0% of answers. This filter only recognises suppliers in the Google comparison set; it does not identify every answer that mentioned any brand. The research did not measure lost sales, decide which supplier deserved a recommendation or establish why particular businesses appeared. It measured whether Google-visible businesses were named in the answers collected. How the comparisons were made

Share of Model may not yet be a proven predictor of commercial performance, but it is a new indicator of presence in the places where opinions are increasingly formed.… Saudi Aramco or ICBC are unlikely to lose investors because ChatGPT fails to mention them. But for most global brands – especially those competing for consumer attention, talent, or reputation – the new visibility layer inside AI answers deserves attention. When the customer journey starts and ends within a single conversation, ChatGPT, Google AI Overviews, or Perplexity become gatekeepers of relevance. If an AI assistant cites your competitor and not you, perceptions begin to shift. Share of Model may not yet be a proven predictor of commercial performance, but it is a new indicator of presence in the places where opinions are increasingly formed. As generative AI becomes a routine part of research and discovery, a brand’s visibility in these environments is likely to affect what people see, and therefore what they know or believe about it. As this study shows, the risk is not negative coverage but absence: invisible brands forfeit cognitive and commercial space to those the models habitually name. The levers to change this are practical. …

Accounts that visited through an AI engine were 2.5x as likely to close a deal in Q3 as accounts that came through organic search … Accounts that visited a B2B website through an AI engine (ChatGPT, Gemini, Perplexity, Claude or Copilot) were 2.5 times as likely to close a won deal in Q3 2026 as accounts that visited through organic search (1.22% vs 0.49%). The gap held for 11 of 13 clients with enough data.2.5x Accounts that visited through an AI engine were 2.5x as likely to close a deal in Q3 as accounts that came through organic search AI in Closed-Won Deals … Based on analysis of 650 million B2B website sessions and connected CRM data by Octane11: - Accounts that visited a B2B website through an AI engine (ChatGPT, Gemini, Perplexity, Claude or Copilot) were 2.5 times as likely to close a won deal in Q3 2026 as accounts that visited through organic search (1.22% vs 0.49%). The gap held for 11 of 13 clients with enough data. - AI Search's share of marketing-influenced closed-won deals tripled in a year, from 1.1% in September 2025 to 3.4% in September 2026, while its share of B2B search sessions grew about 1.8 times, to 2.4% in Q3 2026. - At one global enterprise client, about 4 in 10 closed-won deals in Q3 2026 (39%) had an AI Search touch, against an AI share of search traffic of about 3%. That client is excluded from the other AI deal and account averages in this report so it does not skew them. …

Brands with strong LLM presence report 18% higher consideration rates ● AI-invisible brands lose an average of 12% market share in conversational commerce ● LLM-optimized content generates 2.1x more qualified lea … This gives emerging brands, nostalgic revivals, or underdog products a chance to compete without ranking #1 on Google.Business Impact: ● Brands with strong LLM presence report 18% higher consideration rates ● AI-invisible brands lose an average of 12% market share in conversational commerce ● LLM-optimized content generates 2.1x more qualified lea SECTION 2: Research Methodology … If your brand has a story, a community, or a legacy — even if it’s unoptimized — LLMs may surface you. This gives emerging brands, nostalgic revivals, or underdog products a chance to compete without ranking #1 on Google. SECTION 6: LLM Optimization Works

Despite the lower volume, AI search traffic converts into pipeline at significantly higher rates than traditional search. That’s a 56.3% higher close rate from leads that originated in AI search agents compared to Google or Bing. … Among all platforms analyzed, ChatGPT is the most efficient B2B traffic source that exists today with nearly 2X the lead-to-close rate of traditional search engines. … Google still dominates top-of-funnel traffic (58% of total visits) but had average downstream efficiency especially when compared to ChatGPT.Headline Finding: AI Search Delivers Higher-Quality Leads Despite the lower volume, AI search traffic converts into pipeline at significantly higher rates than traditional search. That’s a 56.3% higher close rate from leads that originated in AI search agents compared to Google or Bing. Among all platforms analyzed, ChatGPT is the most efficient B2B traffic source that exists today with nearly 2X the lead-to-close rate of traditional search engines. What this Means for B2B Marketers … Here’s what we observed: - ChatGPT leads had the highest close rate (4.08%) of any source in the study. - Google still dominates top-of-funnel traffic (58% of total visits) but had average downstream efficiency especially when compared to ChatGPT. - Other non-search inbound sources generated fewer MQLs and were the least efficient channel in terms of lead-to-close yield. What’s Driving AI Search Efficiency?

And while you can connect the dots between an AI answer and a website session using tools like Scrunch, it’s far less likely for a person to visit a website directly from an AI search result than a Google search result. … Great news, as research shows that AI traffic is far more likely to convert than traditional organic traffic.Clicks across traditional search channels are declining thanks to AI platforms like ChatGPT, Perplexity, Gemini, and Claude. And while you can connect the dots between an AI answer and a website session using tools like Scrunch, it’s far less likely for a person to visit a website directly from an AI search result than a Google search result. AI search is primarily a zero-click channel. … - 182% more likely to search the brand on Google (3.28% → 9.24%) - 117% more likely to visit the brand's website (3.43% → 7.45%) - 185% more likely to view it on a retailer's product page (0.94% → 2.68%) Great news, as research shows that AI traffic is far more likely to convert than traditional organic traffic. But if you grade the value of AI search by your existing analytics dashboards alone, you may see nothing while it quietly feeds your funnel.

AI drives discovery – but not decisions. 37% of buyers stop using LLMs after early research. Most verify AI-sourced vendors through websites, reviews, and peer input before taking the next step. … Showing up in Google is no longer enough, and even showing up in ChatGPT citations may not be enough. What matters is to show up with credibility in every place the buyers look: from AI answers to peer communities to your owned site. … The ones still optimizing only for Google, or only for brand awareness, or only for sales conversations are missing the new opportunities where deals are won and lost.• The buying journey is now a loop, not a line. Buyers move fluidly between Google, LLMs like ChatGPT, review sites, peer communities, and vendor websites. Each phase serves a specific purpose: AI for speed, humans for trust. • AI drives discovery – but not decisions. 37% of buyers stop using LLMs after early research. Most verify AI-sourced vendors through websites, reviews, and peer input before taking the next step. • Trust has become the real funnel. Every purchase now passes through layers of validation. LLMs surface new vendors, but peers, documentation, and transparent communication decide who makes the shortlist. • Peer influence outweighs brand control. … The journey is no longer a straight line. It’s a loop, a constant cycle of discovery, cross-checking, and validation. That means the marketer’s playbook for “meeting buyers where they’re at” gets a lot more complex. Showing up in Google is no longer enough, and even showing up in ChatGPT citations may not be enough. What matters is to show up with credibility in every place the buyers look: from AI answers to peer communities to your owned site. Some shifts that stand out: … The proof buyers trust most is the proof you control least. And most importantly: transparency beats perfection. Buyers don’t expect you to do everything. They expect you to be honest about what you do well, who you’re built for, and where your limitations are. AI has added another layer of validation to navigate. The ones still optimizing only for Google, or only for brand awareness, or only for sales conversations are missing the new opportunities where deals are won and lost. The question is: when a buyer asks an LLM about vendors in your category, what shows up? And when they verify that information with peers, reviews, and your website, does it hold up? That’s where deals are made now. In the gap between what AI suggests and what humans trust.

4.4% MQL conversion rate for B2B SaaS visitors arriving from identifiable AI search sources (ChatGPT, Perplexity), versus 1.0% for traditional organic search. … ### Pipeline Influence of AI-Cited Content Sample: 612 closed-won deals across 38 vendors.AI Search Traffic MQL Conversion Rate 4.4% MQL conversion rate for B2B SaaS visitors arriving from identifiable AI search sources (ChatGPT, Perplexity), versus 1.0% for traditional organic search. Pipeline Influence of AI-Cited Content Sample: 612 closed-won deals across 38 vendors. Cost per AI-Influenced Pipeline Dollar