The argument in brief
- When an AI summary appears, clicks to ordinary search results fall sharply (Pew found nearly half; a controlled study measured a causal drop near 40%), which makes a citation in the AI answer a commercial event.
- Answer engines cite pages a machine can read cleanly and quote with confidence, and many life sciences sites quietly lose those citations to ordinary SEO and AEO gaps.
- Five page-level fixes win them back: lead with the answer, ask one question per page, write headings as questions, replace adjectives with facts, and put proof in readable text rather than gated PDFs.
When a buyer asks ChatGPT, Perplexity, or Google's AI mode about your category, being named in that answer is now a decidedly commercial event. The rate of click-throughs to a regular (non-AI) search result drops significantly when an AI summary appears. The Pew Research Center found clicks to a regular result fell by almost half, from 15% to about 8%,1 and a randomized field experiment from Carnegie Mellon University and the Indian School of Business measured the causal drop in such clicks at nearly 40% (Agarwal and Sen, 2026).2
The web pages that make it into AI summaries are those a machine can read cleanly and quote with confidence. That legibility comes down to everyday SEO and AEO best practice, and this is where many life sciences sites quietly lose answer engine citation opportunities they should be winning.
Five Signs, Five Fixes
Here are five signs your page won't make the cut, and the fix for each.
Own the Clearest Answer
Where the science is already strong enough to warrant citation, the crucial next step is making that science legible when your audience asks an AI about your category.
Getting (and staying) in the results your target buyers see starts with the right page-level practices.
Each of these five fixes is a page-level decision to own the clearest answer to a question your buyers are asking.
Endnotes
- 1.Pew Research Center. "Google users are less likely to click on links when an AI summary appears in the results." July 22, 2025.
- 2.Saharsh Agarwal (Indian School of Business) and Ananya Sen (Carnegie Mellon University). "The Impact of Google AI Overviews on Publisher Traffic and User Experience: Evidence from a Field Experiment." SSRN, 2026.