ChatGPT traffic index.
Daily trends in identifiable ChatGPT referral page views.
Current state
ChatGPT traffic index is at 64% of tracked peak, with -10.0% over 30 days.
Strongest sector
Lifestyle & Health leads at +4.6% (30d).
Watchlist
Education & Public is lagging at -35.6% (30d) and may need stronger citation coverage.
Measure ChatGPT referrals in your own GA4
Start with identifiable referrers, then keep a separate view of the traffic GA4 cannot attribute. This recipe mirrors the source matching used by the public panel while keeping uncertain aliases visible for review.
Reference: Google’s GA4 landing page report and PostHog web analytics.
Traffic acquisition report
- Open Reports, then Acquisition, then Traffic acquisition.
- Set the primary dimension to Session source / medium and compare the last 30 days with the previous period.
- Add a filter for Session source, choose Matches regex, and paste this expression.
- Add Landing page + query string as a secondary dimension. Review Sessions, Engaged sessions, Key events, and Total revenue.
^(([a-z0-9-]+\.)*chatgpt\.com|chat\.openai\.com|chatgpt|openai|openai\.com)$Use a Matches regex filter on Session source. Keep the anchors so tagged campaigns do not match by accident.
Free-form exploration
Views align with this index's GA4 screen-page-view measure. Sessions and key events answer a different question: what happened after the click.
Measure AI landing pages and conversions in PostHog
Use the same source domains, but measure the entrance page and the conversion event in one funnel. This keeps referral volume separate from what visitors did after the click.
Referral and landing-page report
- Open Web analytics, set the last 30 days, and review Acquisition or Referrers for the AI source domains in the table below.
- Compare visitors, sessions, views, and conversion goals by referring domain. Keep broad aliases separate until you have checked the raw values.
- Open Product analytics and create a funnel. Make the first step
$pageview, filtered where$referring_domainmatches the AI source regex. - Use your real signup, lead, checkout, or purchase event as step two. Break down the entrance
$pageviewby$pathnameto compare landing pages.
PostHog fields to use
Filter the entrance event, not every funnel step. A conversion event may not carry the original referrer property.
ChatGPT source values and limits
chatgpt.com, www.chatgpt.com, sora.chatgpt.com, chat.openai.com, chatgpt, openai, openai.com- Treat chatgpt.com and chat.openai.com hostnames as high-confidence sources. Review openai and openai.com because those values can include non-ChatGPT referrals or tagged campaigns.
- ChatGPT app-to-browser handoffs, redirects, and privacy settings can strip the referrer and move a real click into Direct.
- GA4 does not expose the ChatGPT prompt, answer, or citation behind a click. Use landing pages and your own key events as separate evidence.
Compare your ChatGPT source mix
Use GA4 Views for an apples-to-apples comparison with this public index. The index does not expose an industry baseline for AI views as a share of all website views.
Enter your last 30 days of views to create a baseline before connecting anything.
Keep blind spots and bots in separate reports
- In-app browsers, app-to-browser handoffs, redirects, privacy settings, and referrer policies can strip the source. Those visits can appear as Direct or have an empty referrer.
- Gemini referrals can show as gemini.google.com, but Google AI Overviews and some AI Mode clicks can remain google / organic. Standard web analytics cannot reliably isolate them from conventional Search clicks.
- Treat dark AI traffic as an unmeasured remainder, not a number to relabel. Report identifiable AI referrals as the observed minimum and keep Direct and unassigned movement as a separate watchlist.
- A source domain identifies the sender when the referrer survives. It does not reveal the prompt, answer, citation, or citation position that caused the click.
- AI crawlers are bots, not human referrals. Keep crawler activity in server or CDN logs, and exclude known bots and internal traffic from visit and conversion reporting.
Connect the same workflow to Trakkr
Trakkr’s Visitors view connects Google Analytics, categorizes identifiable AI referrers, and reports landing pages and conversions alongside visibility data.
See Trakkr’s traffic analyticsTraffic index since tracking started
Normalized to peak = 100%. Last updated: July 23, 2026
Which sectors are gaining ChatGPT traffic?
30-day performance across 6 industry verticals.
About this data
This index aggregates anonymized GA4 screen page views from properties connected to Trakkr by their owners. Page views are included when the session source matches chatgpt.com, chat.openai.com, or a current ChatGPT alias, then normalized to the highest traffic day (= 100%). Updated daily at 00:00 UTC.
The 4,863 property count is the number of distinct GA4 properties with qualifying ChatGPT source data in the current payload. It is not a denominator for every property connected to Trakkr.
The data is first-party and aggregated. No individual visitor is identified. This ChatGPT-only property count differs from the broader AI Search Traffic Index because not every panel property has qualifying ChatGPT data.
What is ChatGPT referral traffic?
ChatGPT referral traffic is the page views recorded after someone clicks a link from ChatGPT and the source survives into GA4. This page measures the resulting referral page views, not ChatGPT usage, citations shown without a click, or visits with a missing referrer.
In Google Analytics 4, high-confidence sessions appear with a source such as "chatgpt.com" or "chat.openai.com." The collector also recognizes broader ChatGPT and OpenAI aliases, which should stay visible in raw exports because some can include non-ChatGPT referrals or tagged campaigns.
The Trakkr ChatGPT Traffic Index tracks identifiable referral page views daily across 4,863 GA4 properties with qualifying source data. Use its movement as panel context, then use your own landing pages, key events, and revenue to judge what the traffic did after arrival.
How much traffic does ChatGPT send to websites?
The live 7-day and 30-day values above show the current direction across 4,863 GA4 properties with qualifying ChatGPT source data. The public index is normalized and does not expose absolute panel page-view volume.
Is ChatGPT referral traffic growing or declining?
The direction changes over time. Use the current 7-day and 30-day values on this page instead of assuming a permanent growth rate, and use a longer comparison period when daily movement is volatile.
How do you measure ChatGPT referral traffic?
The index aggregates GA4 screen page views on sessions whose source matches chatgpt.com, chat.openai.com, or a current ChatGPT alias across 4,863 anonymized properties. It normalizes the series to the highest-traffic day (= 100%) without exposing absolute panel volume.
Which industries get the most traffic from ChatGPT?
Use the current industry section above. It reports 30-day movement for six panel categories and shows each category's qualifying property count, so the leading sector can change over time.
How can I track ChatGPT traffic to my own website?
Use the copyable GA4 filter and calculator on this page before signup. You can then connect Google Analytics to Trakkr to categorize identifiable AI referrers and compare your source movement with the public panel.
What is the ChatGPT Traffic Index?
The ChatGPT Traffic Index is a daily benchmark of identifiable ChatGPT referral page views across 4,863 GA4 properties with qualifying source data. It shows a normalized trend and privacy-thresholded industry movement, not ChatGPT usage or citation share.
Benchmark your ChatGPT traffic against the market
Connect Google Analytics to compare your ChatGPT trend with category baselines and source-mix shifts.