---
id: "entity-gemini-2-5-pro"
type: "entity"
entityType: "product"
canonicalName: "Gemini 2.5 Pro"
aliases: ["Gemini Pro 2.5"]
source_timestamps: ["§ What We Found", "\\\"§ Expect more advanced models to be skeptical of marketing tactics", "not indifferent to them.\\\""]
tags: ["llm", "reasoning-model"]
related: ["concept-algorithmic-skepticism", "concept-reasoning-vs-non-reasoning-models"]
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-tier2-06-ai-shopping-agents"
sourceUrl: "https://hbr.org/2026/05/research-traditional-marketing-doesnt-work-on-ai-shopping-agents"
sourceTitle: "Research: Traditional Marketing Doesn’t Work on AI Shopping Agents"
---
# Gemini 2.5 Pro

**Profile:** A reasoning-focused, multimodal Google model with large context and "Deep Think" capabilities. One of four models tested in the study's simulation.

**Behavior in the study:** Demonstrated [[concept-algorithmic-skepticism|algorithmic skepticism]] — as strike-through discount cues became **more extreme**, their persuasive effect on the model **weakened rather than strengthened**. This inverse response is a signature example of the [[quote-persuasion-penalty|persuasion penalty]] and marks Gemini 2.5 Pro as a [[concept-reasoning-vs-non-reasoning-models|reasoning model]].

**Contrast:** Its lighter sibling [[entity-gemini-2-5-flash-lite|Gemini 2.5 Flash Lite]] was more responsive to promotional cues.

**Related:** [[concept-algorithmic-skepticism]] · [[concept-reasoning-vs-non-reasoning-models]] · [[entity-gpt-5]] · [[entity-gemini-2-5-flash-lite]]