---
id: "contrarian-nonsensical-optimization"
type: "contrarian-insight"
source_timestamps: ["§ [ Stage 3 ] Make Other AI Agents Choose Your Brand"]
tags: ["contrarian-insight", "seo-evolution", "algorithmic-marketing"]
related: ["concept-strategic-text-sequence", "action-implement-sts", "prereq-seo-mechanics"]
challenges: "The conventional view that all on-page SEO and marketing copy must be readable and persuasive to human consumers."
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-ext-18-preparing-brand-agentic-ai"
sourceUrl: "https://hbr.org/2026/03/preparing-your-brand-for-agentic-ai"
sourceTitle: "Preparing Your Brand for Agentic AI"
---
# Contrarian: Nonsensical Text Can Drive Sales

**Contrarian insight.** Conventional marketing dictates that all customer-facing copy must be persuasive, clear, and human-readable. The emergence of [[concept-strategic-text-sequence]] proves that embedding algorithmically generated, human-*nonsensical* text into product pages can actually be the most effective way to secure top LLM recommendations — completely divorcing optimization from human comprehension.

**Challenges:** the assumption that all on-page SEO/marketing copy must be readable and persuasive to humans (see [[prereq-seo-mechanics-d6]]).

**Enrichment / caution.** While plausible given adversarial-prompting research, this raises governance and spam concerns: at scale it would likely trigger model-side defenses, quality penalties, or regulatory scrutiny, making it an unstable long-term play versus structured-data approaches like [[concept-llms-txt]]. Operationalized (with caution) via [[action-implement-sts]].