Insights Operation Guide

This guide explains how to read GEOly Insights for AI brand monitoring. The page summarizes completed monitoring records for the selected brand, time range, and platform filters.

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I. Core Metrics Dashboard

The top dashboard gives a compact view of brand performance in AI-generated answers.

• Total Monitored Queries: The number of prompts/questions currently included in monitoring.
• AIGVR (AI Generative Visibility Rate): GEOly's composite visibility score, based on whether the brand is mentioned, where it appears, how frequently it appears, and whether brand-owned URLs are cited.
• Mention Rate: The percentage of completed AI responses that mention the brand.
• Citation Rate: The percentage of completed AI responses that cite a brand-owned URL. This is not the same as counting citation URLs or domains.
• Average Position / Visibility Rank: The average rank position when the brand appears in recommendation-style answers. Lower positions are better.
• Total Mentions: The number of brand mentions within the selected monitoring window.

Use the dashboard headline metrics as the KPI baseline. Daily trend rows and citation-source counts are useful diagnostics, but they should not be averaged or substituted for the headline cards.

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II. Visibility & Share Analysis

Visibility analysis shows how often the brand appears, how strongly it appears, and how it compares with tracked competitors in the selected scope.

1. Visibility Score

• Tracks the brand's visibility trend over completed monitoring records.
• Helps identify whether AI exposure is improving or declining across the selected time range.

2. Share of Model / Share of Voice

• Compares the brand against tracked competitors within the same monitored records.
• Treat this as a competitive comparison metric, not as the same value as the headline AIGVR card.

3. Average Visibility Rank

• Shows whether the brand tends to appear near the top of AI recommendations.
• A lower average rank indicates stronger placement when the brand is mentioned.

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III. Sentiment & Narrative Insights

Sentiment and narrative analysis summarize how AI platforms describe the brand.

• Sentiment Distribution: Groups answers into sentiment categories such as positive, neutral, mixed, or negative when available.
• Average Sentiment Score: Quantifies the tone of monitored answers.
• Response Types: Helps distinguish recommendation, comparison, informational, and instructional answer patterns.
• AI Narrative Extraction: Surfaces the repeated phrases, attributes, and positioning language AI uses when discussing the brand.

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IV. Competitors & Citation Sources

Citation and competitor views explain what influences AI answers.

• Competitor Mentions: Shows which tracked competitors appear with or against your brand in monitored responses.
• Citation Sources: Lists cited domains and pages that appear in AI answers.
• Important metric distinction: Citation-source tables count URLs/domains and source appearances. The headline citation rate is the percentage of completed records that cite a brand-owned URL.
• Content Opportunities: Use citation and domain patterns to identify pages that need clearer, more AI-readable content.

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V. Platform Comparison & Trends

Platform comparison helps explain why performance may differ across ChatGPT, Gemini, Perplexity, Grok, Google AI, or other supported platforms.

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VI. AI Business Insights

AI Business Insights turns monitoring data into practical analysis for content, positioning, competitor strategy, and source optimization. Use these insights together with prompt-level detail when deciding which pages, claims, or product messages to improve first.