Brand GEO Analysis

Problem

Brand visibility in AI answers is hard to judge from classic search rankings alone. Classic SERP data cannot show how an AI assistant filters sources. When users ask for category recommendations, direct comparisons, or brand reviews, Doubao, Kimi, and DeepSeek may differ on whether the brand appears, where it ranks, and how competitors are framed.

How It Works

• Input: collect the brand name, category, and optional aliases, competitors, or custom questions.
• Question generation: if no questions are supplied, generate five natural-language questions covering recommendation, comparison, evaluation, and scenario use, then wait for user confirmation.
• Batch search: submit the same five questions to three AI platforms, poll task status, and save search_results.json.
• Analysis: run deterministic checks for mention rate and domains, then have the agent inspect each completed answer for brand_rank, sentiment, competitors_mentioned, and key_claims.
• Output: merge the metrics, generate geo_report.html, and summarize three to five key findings.

Boundaries

• Requires an API key from RedFox Hub; missing credentials block the workflow.
• AI platform responses can be unstable. If some tasks fail, the workflow analyzes completed results only and marks gaps.
• Short brand names can over-match, so aliases are recommended.
• Sentiment and competitor extraction are model-derived observations, useful as a consistent lens but not a single source of truth.