---
id: "prereq-traditional-seo-metrics"
type: "prereq"
source_timestamps: ["§ The Rise of “Share of Model”"]
source_url: "https://hbr.org/2025/06/forget-what-you-know-about-seo-heres-how-to-optimize-your-brand-for-llms"
source_title: "Forget What You Know About Search. Optimize Your Brand for LLMs."
tags: ["marketing-fundamentals"]
related: ["concept-share-of-model"]
reason: "Required to understand the contrast between intent/volume metrics (SOS/SOV) and AI perception metrics (SOM)."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-10-optimize-brand-for-llms"
sourceUrl: "https://hbr.org/2025/06/forget-what-you-know-about-seo-heres-how-to-optimize-your-brand-for-llms"
sourceTitle: "Forget What You Know About Search. Optimize Your Brand for LLMs."
---
# Understanding of Traditional SEO Metrics

The article assumes the reader understands traditional marketing/SEO metrics — **Share of Search (SOS)** and **Share of Voice (SOV)** — in order to grasp how **[[concept-share-of-model-d10|Share of Model (SOM)]]** differs from and evolves beyond them.

**Why it's required:** to understand the contrast between *intent/volume* metrics (SOS reflects human search intent; SOV reflects available content volume) and the new *AI-perception* metric (SOM emulates an LLM's internal recommendation logic). Without this baseline, the significance of SOM — and the [[concept-human-ai-awareness-gap|Human-AI Awareness Gap]] between them — is easy to miss.


## Related across articles
- [[prereq-traditional-seo]]
- [[prereq-seo-mechanics-d3]]