According to Peec AI's analysis reported by Search Engine Journal, the company evaluated 37,804 AI responses generated from 1,754 prompts across five LLM engines: ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. Peec AI reported that over 90% of phrasing variations carried very similar meaning, and that core intent preserved brand mentions across prompt rewrites. The study also found concise, keyword or list-style prompts surfaced up to 20% more brands than open-ended prompts. Peec AI reported that phrasing variation mattered most for unbranded, commercial middle-of-funnel queries, while top- and bottom-of-funnel queries were relatively stable. For practitioners, the results suggest monitoring canonical intents will capture most AI visibility signals, though middle-of-funnel discovery requires finer-grained prompt tracking.