Sentiment Delta is the measurable gap between how a brand describes itself and how AI engines describe it in response to category-relevant queries. A large Sentiment Delta means AI engines are constructing a different narrative about the brand than the brand intends to project. Closing the Sentiment Delta requires engineering the right signals into the sources AI engines use to form their descriptions.
Every brand has two descriptions: the one it writes for itself, and the one AI engines generate when someone asks about it. Sentiment Delta measures the distance between those two descriptions.
Sentiment Delta analysis compares:
The gap between these two bodies of language is the Sentiment Delta. It can be directional (AI engines frame the brand differently), categorical (AI engines place the brand in the wrong category), or omission-based (AI engines don't describe the brand at all).
AI engines do not read brand websites and adopt their messaging. They synthesize descriptions from the sources they trust: third-party media coverage, analyst reports, citation networks, and structured data. If a brand's earned media narrative diverges from its intended positioning, the AI description diverges too.
A brand can invest heavily in messaging and content while Sentiment Delta grows, because AI engines are reading different sources than the ones the brand controls.
| Type | Description | Example |
|---|---|---|
| Directional Delta | AI frames the brand differently than intended | Brand says "enterprise-grade." AI says "SMB-focused." |
| Categorical Delta | AI places the brand in the wrong category | Brand says "PR agency." AI says "marketing firm." |
| Omission Delta | AI does not describe the brand at all | Brand is absent from AI-generated category responses. |
| Attribute Delta | AI assigns wrong attributes | Brand emphasizes speed. AI emphasizes price. |
Sentiment Delta closes when the brand's intended narrative appears consistently in the sources AI engines weight. This means securing Tier 1 media placements that use the brand's precise language, building citation networks around the brand's preferred attributes, and structuring content so AI engines can extract and quote the exact framing the brand intends.
Sentiment Delta reduction is one of the core deliverables in a Machine Relations engagement.
How is Sentiment Delta quantified? Sentiment Delta is measured by running structured AI queries about the brand, collecting the generated descriptions, and scoring language alignment against the brand's stated positioning. Attribute overlap, categorical accuracy, and framing alignment are the three primary scoring dimensions.
Can Sentiment Delta be negative? Yes. In rare cases, AI engines describe a brand more favorably than the brand describes itself, often because earned media coverage used stronger language than the brand's own materials. This is a positive outcome but still represents a delta worth understanding.
How long does it take to close a large Sentiment Delta? Sentiment Delta reduction follows AI engine re-evaluation cycles. With sustained earned media activity targeting the brand's intended positioning, measurable delta reduction typically appears within 60 to 90 days.
AI Share of Voice is the proportion of AI-generated responses where a brand is mentioned, cited, or recommended relative to competitors for a defined set of category queries across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Distinct from traditional share of voice (media mentions) and search share of voice (ranking visibility), AI Share of Voice measures competitive position in the AI discovery layer.
A brand's measurable presence across AI platforms (ChatGPT, Perplexity, Gemini, AI Overviews). Replaces impressions as the key MR metric.
Citation Decay is the rate at which AI engine citations of a brand decrease over time without sustained earned media activity. AI engines continuously re-evaluate source freshness and authority, and brands that stop generating new high-quality signals see their citation presence erode as competitors produce newer, more relevant content.
The measurable divergence between a brand's traditional search ranking and its citation frequency inside AI-generated answers. A brand can rank #1 on Google and appear in 0% of ChatGPT, Perplexity, or Gemini responses for the same query.