Is ChatGPT Already Sending Your Buyers to Competitors?

AI-influenced visitors viewed 12 pages and spent 11.8 minutes on site, compared with 6.5 pages and 5.6 minutes for others, SimilarWeb found.

What Happened

Search Engine Land's Danny Goodwin reported on June 24, 2026 that Similarweb tracked U.S. desktop users who asked ChatGPT industry questions, received a brand recommendation, and then visited a site within seven days. Across finance, travel, and beauty, recommended brands captured 2.5 times more visits than direct competitors. American Express, Capital One, Skyscanner, Kayak, Sephora, and Ulta all saw measurable lifts when named by ChatGPT.

The Numbers in Context

AI-influenced visitors viewed 12 pages and spent 11.8 minutes on site, compared with 6.5 pages and 5.6 minutes for non-influenced visitors. That is nearly double the engagement depth. Just as telling, only a fraction of those visits showed up as AI referral traffic. 55.9% arrived through search, while direct traffic dropped to 19.9% versus 38.8% for standard visits. The influence is real. The attribution is invisible.

Why This Matters for B2B Marketing Leaders

If you run marketing at an HR Tech or FinTech company, this study confirms what your dashboards have been hiding. ChatGPT is qualifying buyers before they ever hit your site, and when they arrive, they convert deeper. The flip side is brutal. When ChatGPT names a competitor, you lose the visit and never see the loss in your referral report. Your analytics will show healthy organic search numbers while AI quietly redirects demand. You cannot optimize what you cannot measure, and you cannot win recommendations you are not engineering for.

The Starr Conspiracy's Take

This is the clearest proof yet that AI visibility is a pipeline input, not a vanity metric. The 2.5x lift is significant, but the engagement gap matters more. Buyers recommended by ChatGPT show up pre-qualified, with intent shaped by the AI conversation. If your category page, comparison content, and proof points are not structured for machine retrieval, you are handing competitors a head start. We built our answer engine optimization framework precisely for this moment. Your team needs to know which prompts surface your brand, which surface competitors, and what content gap explains the difference.

What to Watch Next

Expect Similarweb and competitors to expand panels into B2B categories through 2026. Watch for ChatGPT to add native referral parameters, which would likely collapse the attribution gap within twelve months. Until then, assume your AI-influenced traffic is materially larger than your reports show.

Related Questions

How do I measure ChatGPT's influence on my pipeline today?

Start with prompt testing across your priority buying questions, then correlate branded search lifts with AI mention frequency. Direct referral data will undercount, so triangulate using brand search trends, self-reported attribution in demo forms, and engagement depth signals like the ones Similarweb identified.

What content earns ChatGPT recommendations?

Structured, citable content with clear entity definitions, comparison tables, and explicit answers to buyer questions performs best. Our guide to AI search visibility for B2B brands breaks down the specific content patterns that get retrieved and named in generative answers.

Should we shift budget from SEO to AEO?

Not yet, and probably not as a binary choice. Most AI-influenced visits still land through search, so traditional SEO remains the delivery mechanism. Reallocate incrementally toward content engineered for both human readers and machine retrieval, and measure which assets earn citations.