AI search traffic, meaning visits that arrive from clicking links inside ChatGPT, Perplexity, or similar AI assistants, is real but still delivers a fraction of what Google organic search produces in both volume and total conversions. Three studies published over the past week, one of them covering 100 websites and more than 145 million sessions, point the same way, according to Search Engine Roundtable’s October 22, 2026 report. Marie Haynes titled hers “GEO is a distraction” (GEO, or Generative Engine Optimization, is the practice of tuning content to appear in AI-generated answers).
What Do the Three Studies Actually Show?
Reported together by Search Engine Roundtable, the three studies analyzed data across different industries and website sizes and point in the same direction: AI referral traffic remains negligible compared to Google organic.
- Marie Haynes analyzed 12 months of GA4 (Google’s web analytics platform) data across 100 websites with over 145 million sessions. ChatGPT sessions amounted to just 0.62% of Google organic volume. Google still drove 96.5% of total conversions across all channels analyzed, and 27x more conversions than all other LLMs (large language models, such as Claude or Gemini) combined.
- SEO Works found that organic search delivered 39 times more traffic than AI assistants. For every 100 conversions organic search delivered, AI referrals delivered 3.2. AI referral traffic converts worse than paid search (0.67x) but better than direct traffic (2.48x).
- Kevin Indig analyzed 12 sites across different sectors and sizes and concluded that AI-driven direct traffic to longtail pages “is not detectable yet.” He also found no reliable relationship between AI visibility scores and branded search or direct traffic growth.
Does the Higher Conversion Rate Change the Calculation?
AI-referred visitors do convert at a notably higher rate. Haynes found ChatGPT visitors converted at 13.8% versus 3.02% for Google organic visitors, more than 4.5x higher. But the volume gap is large enough that Google organic still dominates total conversions by a wide margin. A higher rate on a very small base does not close the gap.
What About AI’s “Halo Effect” on Branded and Direct Traffic?
A common argument for investing in AI visibility is that being mentioned by AI assistants builds brand awareness and eventually shows up as branded search or direct traffic, even when users do not click through directly. Indig specifically tested this. Across 12 sites, he found no reliable relationship between AI visibility and branded search or direct traffic growth. He noted that companies with exceptionally strong AI growth might detect the effect, but it was not present in his sample.
What This Means for AI-Search Visibility
Here is the clearest way to read these numbers: if your website gets 1,000 visitors from Google and roughly 6 from ChatGPT, even if those 6 buy more often, Google still drives your business. That is approximately the ratio Haynes’ data describes.
The higher conversion rate from AI-referred visitors is a real signal. In Hingewise’s view, it may reflect a selection effect: by the time a user clicks a link that an AI assistant recommended, they have already been filtered through a decision process and arrive more ready to act. But “converts better” and “worth prioritizing” are two different things when the total volume is this small.
Indig’s attempt to measure the halo effect matters because it directly addresses the strongest counterargument to the raw traffic data. If AI mentions were influencing decisions at meaningful scale, branded search and direct traffic would track AI visibility scores. Across 12 sites, he found they do not. That does not prove the halo effect is zero for every brand, but it shifts the burden of proof onto anyone claiming it is significant enough to justify substantial investment.
In Hingewise’s view, the data currently supports one clear near-term priority: Google organic remains the highest-leverage channel for most websites, and AI visibility optimization should not displace it in the budget. The case for AI search investment at this stage is more about future positioning than measurable current returns. That calculus will likely change as AI assistant usage grows and if referral traffic percentages shift in a meaningful way. The metric worth watching is not whether absolute AI referral numbers go up (they likely will) but whether the percentage gap with Google organic closes over the next 12 months.
Before Reallocating Budget Toward AI Visibility, Check These First
- Pull your AI referral sessions in GA4 by filtering for sources such as chatgpt.com, perplexity.ai, and gemini.google.com, then compare that volume to your organic search sessions.
- Check conversion rates for AI referral traffic versus Google organic, but wait until you have at least a few hundred AI sessions before drawing conclusions from the rate.
- Calculate total conversions per channel, not just rates. A conversion rate 4x better on 10 visitors is still 10 visitors.
- In Google Search Console, look at whether your branded query impressions or clicks have changed during any period where your AI visibility grew.
- Track direct traffic to your longtail content pages month over month and look for any trend that correlates with AI mentions.
- Revisit these metrics every 90 days. The traffic data from a year ago may not reflect the current landscape.
Source: Search Engine Roundtable, October 22, 2026, reporting on studies by Marie Haynes, SEO Works, and Kevin Indig.
Lam Nguyen · Hingewise
This article was drafted with AI assistance from the sources cited above and checked against them before publishing. The "What this means for AI-search visibility" section is Hingewise's editorial analysis, built on the frameworks and positions we use in our GEO work. How we work: Editorial policy.