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# GEO report: Perception Affect Field

Guides for GEO reports, AI Focus Groups, scores, sharing, and the Partner API.

Getting startedexpand_moreRunning analysesexpand_moreAI Investor Reviewexpand_moreGEO Analysis reportexpand_less- Overview
- Overview tab (indicators)
- Perception Affect Field
- AI Visibility
- Share of Voice
- Rankings
- Competitors
- Source Tracker
- Mentions Explorer
- Revenue opportunity
- Common metric questions
AI Focus Groups reportexpand_moreVeritasScoreexpand_moreCombined reportexpand_moreSharing & exportsexpand_morePartner APILoginexpand_moreOn a GEO report, Perception Affect Field answers: when assistants answer your structured brand prompts, what emotional field do those answers form? It is not mention rate and not VeritasScore. The map is built from the GEO answer grid—prompt × model response texts for this run.

Measurement context: GEO corpus

Input texts are multi-model GEO prompt responses (visibility, competitors, citations, rankings, and related categories)—how AI systems describe and recommend the brand. Focus Groups score discussion turns from simulated buyers instead; same chart UI, different measurement question. Focus Groups Affect Field

GEO corpus — prompt × model answers

Affect Field on GEO scores assistant answers from your structured prompt grid (visibility, competitors, citations, rankings, …)—not buyer chat turns. Polarization here means models/prompts split emotionally about the brand.

- ChatGPT · visibility

“…rarely recommended for mid-market SOC teams…”
- Perplexity · competitors

“…stronger alternatives include Contoso and Acme…”
- Claude · citations

“…proof points thin versus category leaders…”
- Grok · rankings

“…occasionally listed second for workflow AI…”
What gets scored on GEO: assistant answers from the prompt grid.
### What the analyst should ask

- Do model answers about us cluster as one mood, or split into praise vs skepticism?
- Is the skeptical mode tied to specific prompt categories (competitors, citations, rankings) or specific assistants?
- Would a buyer who lands on the negative mode hear a different brand story than one who lands on the positive mode?

### Where it appears

- GEO dossier — Perception Affect Field tab (short label Affect), after Overview when affect_field exists.
- Combined report — GEO · Perception Affect Field.
- Funnel GEO view — may embed the same block inline.
Needs enough scorable answers (pipeline skips under ~5 texts). Trial/shared views may show a plan gate (split_perception_locked) until the full model set is unlocked.

### Metrics on the tab

Affect field metrics

Valence × arousal map

Computed PNG in live reports

Valence0.22Arousal0.61Dispersion0.48CI radius0.19Dominant zonetense / activatedResponses scored186Polarization index0.72Valence × arousal map plus metric cards.Split perception alert

Split perception detected

Responses cluster in two modes — not a single average. Treat this as a reputational risk signal, not neutral consensus.

Amber alert when the GEO field is polarized.- Valence / Arousal — centroid of scored GEO answers on the affect plane.
- Dispersion / CI radius — spread and uncertainty of that centroid.
- Dominant zone — named region where most answer mass sits.
- Responses scored — count of GEO answers included (often large: prompts × models).
- Polarization index + Split perception detected — bimodal emotion in assistant answers, not buyer panel disagreement.
- by_analyzer (under the hood) — counts per assistant; useful when diagnosing which model drives a mode.

### How to act (GEO-specific)

- Open Mentions Explorer and filter prompts/assistants that sit in the skeptical cluster—copy the exact language assistants use.
- Cross-check Competitors, Source Tracker, and Rankings: polarization often tracks “not recommended / thin proof / rival preferred” answers.
- Fix proof and citation footprint so the next GEO run’s answers converge; monitoring may flag split_perception_changed.
- Do not treat this as Focus Group panel mood—re-run FG Affect Field separately if you need buyer-turn emotion.
Product alert vs research “split-perception”

The amber alert = polarized affect in this GEO answer set. The research paper measures cross-model VeritasScore gaps (~100 pts) on the same company—different instrument. Research

Related

- Focus Groups: Perception Affect Field
- GEO report: Mentions Explorer
- GEO report: Competitors
- Split-Perception research