GEO report: Overview

A GEO (Generative Engine Optimization) report measures how AI assistants describe, rank, and recommend your brand across a structured prompt set. The Overview tab is the executive landing: four headline KPIs, multi-model performance when unlocked, sentiment, narrative summary, and prompts by category. Live UI examples below use sample numbers so you can recognize the same controls in your report.

Report tabs

Every completed GEO report is organized into tabs. Overview is first; deeper tabs cover visibility, share of voice, rankings, competitors, sources, mentions, and revenue. Perception Affect Field and AI Investor Review (pitch-deck runs) appear when that pipeline produced them.

GEO report tabs

Sample report for Northline Analytics — active: Overview

Example UI: horizontal GEO report section tabs (Overview through Revenue Opp.).

Special tabs

Headline KPIs

Four cards open the story: Total Visibility (modeled presence strength), Sentiment Score (tone), Revenue At Risk (directional monthly missed opportunity), and E-E-A-T Authority (trust framing). Delta badges appear when a previous run for the same site exists.

Overview headline KPIs

Total Visibility

67%

Avg modeled strength

Sentiment Score

AI Analysis / 100

Revenue At Risk

$18,400

−2100

Monthly missed ops

E-E-A-T Authority

61/100

Trust signals

Example UI: Overview headline KPI cards — Total Visibility, Sentiment Score, Revenue At Risk, E-E-A-T Authority.

Indicator-by-indicator

Overview tab — each indicator and section

Models and plan visibility

Each analysis runs across the configured LLM stack (typically ChatGPT, Claude, Gemini, Perplexity, Grok, and DeepSeek — exact list follows GEO_LLM_MODELS). Scores stay comparable because we prefer engines that behave consistently across runs.

Plan tiers control which model results you can see in the UI, not whether the pipeline ran. Free reports surface a subset (for example ChatGPT and Perplexity). Higher tiers unlock more model columns and side-by-side Performance by LLM charts.

Performance by LLM

Example UI: Performance by LLM — normalized scores across assistants.

Quick reading order

Skim the four headline cards, then Sentiment and Executive Summary.
If Performance by LLM is visible, compare engines before trusting a single headline number.
Use By Prompt Category for coverage; open AI Visibility, Share of Voice, and Competitors for depth.
Open Mentions Explorer to verify wording; use Revenue for a business case and Source Tracker for PR/SEO follow-up.

AI Focus Groups tied to GEO

When you launch a focus group from a completed GEO flow, the product can target weaknesses from that report, run a blind competitor session, and write votes back into the Competitors tab. See Focus Groups documentation for details.

Documentation