Traffic from AI assistants is still small. For most B2B software companies, ChatGPT, Perplexity, Gemini, Claude and Google’s AI Overviews together send a low single-digit percentage of sessions. The question worth asking is not how much traffic AI search sends, but what that traffic is worth once it arrives.
The published data on that is now substantial enough to answer with some confidence. The short version: a visitor who arrives from an assistant converts several times more often than one from organic search, in most studies and especially in considered purchases. The longer version has caveats, and they matter, so both are below.
The numbers, with their samples
Every figure here was checked against its original source. Each comes with what was measured and how many sites it covers, because a single company’s analytics and a survey of a thousand buyers are not the same kind of evidence.
| Source | Finding | Sample |
|---|---|---|
| Microsoft Clarity, Nov 2025 | LLM referrals clicked through to a sign-up at 1.66%, search at 0.15% | 1,277 publisher sites, 8 months |
| Adobe Analytics, Jul 2026 | AI-referred visits convert 60% better and bring 53% more revenue per visit than other traffic | Over a trillion visits to US retail sites |
| Seer Interactive, Jun 2025 | ChatGPT traffic converted at 15.9%, Google organic at 1.76% | One client site |
| Ahrefs, Jun 2025 | 0.5% of visitors (from AI search) produced 12.1% of sign-ups, a 23x higher conversion rate | Ahrefs’ own site |
| Webflow, Nov 2025 | ChatGPT traffic converts at 24%, six times Google; AI discovery drives 10% of sign-ups | Webflow’s own data |
| Vercel, Jun 2025 | ChatGPT refers around 10% of new sign-ups, up from 1% six months earlier | Vercel’s own data |
| Semrush, Jul 2025 | The average AI search visitor is worth 4.4x a traditional organic visitor | About 500 marketing topics, method not fully disclosed |
The direction is consistent across very different samples: publishers, retail, SaaS companies and a services client. The size of the gap is not. It runs from roughly 1.6x (Adobe, retail, against all other traffic) to over 20x (Ahrefs, its own sign-ups). A fair reading is that AI search visitors convert several times better than organic in most contexts, and that any single multiplier quoted without its sample is marketing.
Why AI search visitors arrive further down the funnel
The mechanism is not mysterious. In a classic search journey, the research happens across ten blue links and a handful of tabs, and the visit to your site is often one of the first steps. In an assistant, the research happens inside the conversation. By the time someone clicks through, they have usually:
- described their situation in full sentences, not three keywords,
- asked for options and been given a shortlist,
- asked follow-up questions about pricing, integrations or alternatives,
- and been told, in effect, that you are worth a look.
The click is the last step of a research process rather than the first. Seer’s data shows the same thing from the engagement side: ChatGPT visitors viewed about 2.3 pages per session against 1.2 for organic. Adobe reports AI-referred retail visitors staying 59% longer and bouncing 33% less. Webflow found that two in three of its ChatGPT-sourced sign-ups convert within seven days.
There is a trade-off. Ahrefs notes that people using AI search click through about 75% less often than people using traditional search. Many questions get answered without a visit at all. That is precisely why the visits that remain are worth more, and why measuring AI search by traffic volume alone undersells it.
Why it matters more for B2B than for retail
Most of the large studies above are retail or publishing, where a purchase is often quick and a single person makes it. B2B software is bought differently: a buying group, a longlist, comparisons, security questions, integration checks. That is exactly the kind of research people now hand to an assistant.
The buyer surveys bear that out:
- 51% of B2B software buyers now start their research in an AI chatbot more often than in Google, and 71% use one at some point in the process (G2, 1,076 buyers, March 2026).
- 69% chose a different vendor than they initially planned because it appeared in a chatbot’s recommendation (same G2 survey).
- 82% of buyers sourced software recommendations from an AI chatbot in the past 24 months (G2, July 2026).
- 94% of business buyers use AI somewhere in their buying process, and twice as many name generative AI or conversational search as a more meaningful source of information than any other (Forrester Buyers’ Journey Survey, January 2026).
Put together: in B2B, the assistant increasingly decides who makes the shortlist. A vendor that is not named in the answer often never gets the visit to convert in the first place, no matter how good its site is.
The caveats, stated plainly
Three things the headline numbers do not tell you.
Not every study agrees. A 2026 academic study by Kaiser and Schulze of 973 e-commerce sites is reported to find ChatGPT referrals converting worse than Google organic. In fast, low-consideration retail, the advantage can disappear. The case for AI search is strongest where a purchase is researched and compared first, which is how B2B software is bought, but it is not a universal law.
Several of the strongest numbers come from companies that sell into this market. Ahrefs, Semrush, Adobe and G2 all have products that benefit from AI search being important. That does not make their data wrong, and the direction matches independent sources, but it is worth knowing.
Referrer data undercounts AI search. Many people read an answer, then type the brand name into Google or go to the site directly. That visit shows up as branded search or direct traffic, not as an AI referral. Analytics-based studies therefore likely understate how much revenue starts in an assistant, which is one reason asking customers directly (“how did you hear about us?”) is a useful second measure.
What this looks like in a real B2B pipeline
At Omnia Retail, a B2B pricing software company, the monthly share of qualified inbound leads arriving through LLMs and AI search went from a 2% baseline to 29% nine months later, and the number of meetings booked through AI search per month grew fivefold in the same period. That was measured with a required “how did you hear about us” question on every contact form rather than referrer data, for exactly the undercounting reason above.
One company is not a study either. But it is the shape the research predicts: a channel that starts small in sessions and ends up an outsized share of pipeline.
What to do with this
If you sell B2B software, three practical consequences follow.
- Measure AI search by pipeline, not by sessions. A channel that sends 1% of traffic and 10% of sign-ups looks negligible in a traffic report and essential in a revenue one. Add an AI option to your “how did you hear about us” field and segment AI referrers in analytics.
- Track whether you are named, not just whether you rank. The conversion advantage only applies if the assistant includes you in the answer. For the prompts your buyers actually ask (comparisons, alternatives, “best X for Y”), know which vendors get named today, and freeze that as a baseline before changing anything.
- Treat it as a channel with its own work. Being cited depends on content an assistant can quote, technical crawlability, and corroboration from the third-party sites assistants check. That overlaps with SEO but is not the same job.
If you want to know where you stand today, a free audit shows which assistants name you, for which prompts, and who they name instead.
Frequently asked questions
Does AI search traffic convert better than organic search? In most published studies, yes, by several times. Microsoft Clarity found LLM referrals converting to sign-ups at 1.66% against 0.15% for search, and Adobe found AI-referred retail visits converting 60% better than other traffic. Some e-commerce research disagrees, so the gap depends on how considered the purchase is.
Why does traffic from ChatGPT convert better? Because the research happens inside the conversation. By the time someone clicks through, they have usually compared options and been given a shortlist, so they arrive closer to a decision than a typical search visitor.
Is AI search relevant for B2B software companies? Increasingly so. According to G2, 51% of B2B software buyers now start their research in an AI chatbot more often than in Google, and 69% chose a vendor they had not planned on because a chatbot recommended it.
How do you measure AI search ROI? By pipeline and revenue rather than traffic: AI referrers segmented in analytics, a “how did you hear about us” question that includes AI assistants, and a frozen baseline of which prompts name you, so later changes can be attributed.
Sources
- Microsoft Clarity, AI traffic converts at 3x the rate of other channels, November 2025
- Digital Commerce 360, Adobe AI referral traffic data, July 2026, August 2026
- TechCrunch, AI traffic to US retailers rose 393% in Q1, April 2026
- Seer Interactive, How traffic from ChatGPT converts, June 2025
- Ahrefs, Does AI search traffic convert better than traditional search?, June 2025
- Growth Unhinged, Traffic is no longer a reliable growth metric (interview with Webflow), November 2025
- Vercel, How we’re adapting SEO for LLMs and AI search, June 2025
- Semrush, We studied the impact of AI search on SEO traffic, July 2025
- G2, In the answer economy, don’t win the click, win the answer, April 2026
- G2, Buyer behavior 2026, July 2026
- Forrester, B2B buyers make zero-click buying number one, January 2026