TL;DR
Gartner's February 19, 2024 press release predicted a 25% drop in traditional search engine volume by 2026, citing AI chatbots and virtual agents as the displacement (Gartner press release, 2024-02-19). As of early 2026, two things are publicly verifiable: (1) Google has not disclosed a 25% drop in raw query count, and (2) AI search alternatives like ChatGPT and Perplexity have grown materially. Specific share-of-voice numbers reported widely online are estimates from third-party traffic panels — not vendor disclosures — and should be read as directional. We've rewritten this post (2026-04-28) to remove specific percentages we could not source to a primary publication.
What Gartner Actually Predicted
On February 19, 2024, Gartner published a press release titled "Gartner Predicts Search Engine Volume Will Drop 25% by 2026, With AI Chatbots And Other Virtual Agents." The release argued that generative AI chatbots, AI-integrated search surfaces, and specialized AI agents would collectively reduce traditional search engine volume by roughly a quarter by end of 2026.
The forecast was widely circulated, often without context. Two things to keep straight: (1) Gartner did not predict Google would disappear; the prediction was about behavioral migration to AI surfaces. (2) The 25% figure was a single-point analyst forecast, not a measured outcome. Real-world data may end up higher, lower, or in a different shape entirely.
Publicly Verifiable Signals (As of Early 2026)
Below are the data points we can confirm against a primary public source.
1. OpenAI's daily message volume
Sam Altman publicly stated on October 31, 2024 that ChatGPT was processing over 1 billion messages per day (@sama tweet, 2024-10-31). OpenAI has not publicly disclosed how this splits between search-intent, code, conversation, and creative use.
2. Google's daily search volume
Google has not publicly disclosed a precise daily query count in years. The widely-quoted "8.5 billion searches per day" figure is an industry estimate that appears in places like Google's 2024 Year in Search recap — treat as ballpark.
3. Google AI Overviews rollout
Google launched AI Overviews to all US users on May 14, 2024 (Google blog, 2024-05-14). Behavioral consequences (publisher click-through reduction) have been reported by SEO researchers but specific percentages vary widely by study.
4. Perplexity query volume
Perplexity's product blog at perplexity.ai/hub is the primary source for any Perplexity-disclosed metric. Aravind Srinivas posts query volume updates on X periodically; check the blog for the latest.
5. EurekaNav's own audits (small sample, qualitative)
We have not run a controlled study. EurekaNav has run 4 published audit teardowns (Fireflies, Linear, Otter, Notta). What those four audits show: AI engine answers vary materially across engines; engines often categorize the same product differently; engines disagree on facts more often than aggregate dashboards reveal. We're not extrapolating those four data points to broader claims about market behavior.
What We Removed From the Earlier Version of This Post
An earlier version of this post (published 2026-04-21) cited specific percentages, dollar figures, or research firms we could not trace to a primary public source. In the spirit of integrity, here is what we removed and why: