Skip to main content
Winning a few AI-cited listicles beats being in many. Peec’s study of nearly 200,000 AI responses across eight engines (September 2025–March 2026, full study) found two strategy-level results:
  • Diminishing returns. Maximum impact is often reached after just a few repeated placements in frequently cited listicles. Five strong placements in listicles AI engines actually retrieve matter more than 50 placements in articles engines never see. The goal is not “get listed everywhere” — it is winning the few listicles engines actually cite for your prompts.
  • Engines weight citations differently. Engines with tighter source retrieval (ChatGPT, GPT-5 Search, Microsoft Copilot) showed larger visibility lifts from top-ranked listicle placements — fewer sources, more weight per citation. Broad-retrieval engines (Google AI Overview, Google AI Mode) showed smaller individual lifts, so casting a slightly wider net across multiple trusted sources helps there.
The playbook: diagnose market structure first (fragmented markets reward rank most), track responses per engine, identify which listicles engines actually retrieve, prioritize gaps where competitors appear and you do not, and give publishers evidence (comparison pages, reviews, pricing) to justify placement. Effect sizes per rank tier: Listicle rank effect on visibility. Why the format wins structurally: Why listicles get cited. Source: The Listicle Rank Effect: What nearly 200,000 AI responses across 8 AI engines reveal about brand visibility, Peec (Jan Ehrlinspiel), May 2026.