---
id: "contrarian-sentiment-optimization"
type: "contrarian-insight"
source_timestamps: ["§ Inclusion—Not Sentiment—Is the Real Competitive Bottleneck"]
tags: ["pr", "sentiment-analysis"]
related: ["claim-inclusion-is-bottleneck", "concept-ai-recall-share"]
challenges: "The PR industry's focus on managing brand sentiment and tone within AI outputs."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-new-25-get-ai-to-surface-your-brand"
sourceUrl: "https://hbr.org/2026/06/how-to-get-ai-to-surface-your-brand"
sourceTitle: "How to Get AI to Surface Your Brand"
---
# Sentiment optimization is a distraction; inclusion is the only bottleneck

**Challenges:** the PR industry's focus on managing brand sentiment and tone within AI outputs.

Many PR and marketing professionals focus heavily on ensuring AI systems say "nice things" about their brand. The authors reveal that **78.7% of brand mentions in AI are already positive** (see [[claim-inclusion-is-bottleneck|Inclusion, not sentiment, is the real bottleneck]]). AI systems decide on factual inclusion first, and only then express a view. Therefore, optimizing for sentiment is a waste of time; brands must focus entirely on being structurally **includable** as a solution — i.e., maximizing [[concept-ai-recall-share|AI recall share]].

> Counter-perspective (enrichment): In high-stakes categories (healthcare, finance, B2B), rare negative or cautionary mentions can be disproportionately important, and LLMs sometimes hallucinate or misattribute negative claims — creating reputational/legal risk. Risk officers and regulators may require monitoring of both inclusion *and* sentiment. Inclusion is the primary bottleneck for *most* consumer categories, but sentiment/accuracy management remains critical in regulated or reputation-sensitive domains.


## Related across articles
- [[claim-inclusion-is-bottleneck]]
- [[contrarian-advanced-ai-rationality]]