LLMs vs Search Engines: Liability, Traffic Decline, and the New ROI Landscape
Reevaluate AI visibility metrics: shift from percentage share to absolute traffic impact, and adjust budgets accordingly.
Reevaluate your traffic attribution models to account for shrinking search volumes and rising AI zero‑clicks, and adjust marketing spend toward channels that deliver measurable conversion.
Summary
Large language models were built to answer questions directly, unlike search engines that crawl, index, rank, and present options, leaving the click decision to the user. This design removes the SERP’s liability shield, which historically protected search engines from defamation or misleading content because the user chose a source. In contrast, an LLM’s output is its own editorial voice, exposing the model provider to a larger liability surface as courts begin to map the boundaries of responsibility.
Recent litigation illustrates this shift: Walters v. OpenAI was dismissed in May 2025 on disclaimer grounds, but Air Canada was held liable for a chatbot’s false policy claim, and the New York Times copyright case was allowed to proceed in March 2025. Anthropic settled with book authors in August 2025 for a reported billions‑plus amount, while European GDPR complaints and Battle v. Microsoft remain active, showing that the legal landscape is still evolving.
From a traffic perspective, Conductor research finds AI referral traffic accounts for only about 1 % of publisher visits, yet organic search traffic fell from 2.3 billion monthly visits in mid‑2024 to under 1.7 billion by May 2025, a loss of more than 600 million visits. Zero‑click searches rose from 56 % to 69 % between May 2024 and May 2025 as AI Overviews expanded, and a Reuters Institute survey of 280 media leaders in late 2025 predicts another 43 % decline over the next three years. Meanwhile, the five largest U.S. cloud and AI providers are committing $660–$690 billion in 2026 capex—doubling 2025 levels—with Alphabet alone targeting $175–$185 billion, and AI capex is projected to reach 94 % of operating cash flows in 2025–26, up from 76 % in 2024.
Key changes
- LLMs produce answers directly, eliminating routing to third‑party sites
- Search engines provide a liability shield via SERP options; LLMs lack this, increasing liability surface
- AI referral traffic is about 1 % of publisher visits per Conductor research
- Organic search traffic fell from 2.3 billion to under 1.7 billion monthly visits between mid‑2024 and May 2025
- Zero‑click searches rose from 56 % to 69 % between May 2024 and May 2025 due to AI Overviews
- Five major U.S. cloud/AI providers are committing $660–$690 billion in 2026 capex, doubling 2025 levels
- Alphabet alone targets $175–$185 billion for 2026, and AI capex is projected to reach 94 % of operating cash flows in 2025–26