Automated Brand Mention Tracking & SEO Impact Analysis Workf

Data AnalysisCozeUpdated 2026-04-21

Automatically collect, clean, sentiment‑analyze, and benchmark brand mentions to produce a concise report that lets SEO teams assess how brand exposure affects search rankings.

System Prompt

Collect {brand_name} mentions during {date_range}, use {sentiment_threshold} as the sentiment threshold, and output a {output_format} report.

Variable Dictionary (fill in your AI tool)

This section only explains placeholders. It is not an input form on this website. Copy the prompt, then replace variables in Coze / Dify / ChatGPT.

{brand_name}

The brand to track

Filling hint: replace this with your real business context.

{date_range}

The query period, e.g., 2025-01-01 to 2025-01-31

Filling hint: replace this with your real business context.

{sentiment_threshold}

Sentiment score threshold; below is negative, above is positive

Filling hint: replace this with your real business context.

{output_format}

Report format, e.g., table, chart, markdown

Filling hint: replace this with your real business context.

Quick Variable Filler (Optional)

Fill variables below to generate a ready-to-run prompt in your browser.

{brand_name}

The brand to track

{date_range}

The query period, e.g., 2025-01-01 to 2025-01-31

{sentiment_threshold}

Sentiment score threshold; below is negative, above is positive

{output_format}

Report format, e.g., table, chart, markdown

Generated Prompt Preview

Missing: 4

Collect {brand_name} mentions during {date_range}, use {sentiment_threshold} as the sentiment threshold, and output a {output_format} report.

How to Use This Template

Best for

Teams that need faster data analysis output with more stable prompt quality.

Problem it solves

Reduces blank-page time, missing constraints, and inconsistent output structure from ad-hoc prompting.

Steps

Copy the template prompt.
Paste it into your AI tool (Coze / Dify / ChatGPT).
Replace placeholder variables using the dictionary above.
Run and refine constraints based on output quality.

Not ideal when

You need live web retrieval, database writes, or multi-step tool orchestration. Use full workflow automation for that.

Success Case

Input:

brand_name=Acme, date_range=2025-01-01 to 2025-01-31, sentiment_threshold=0.5, output_format=table

Output:

| Date | Mentions | Positive | Neutral | Negative | |------|----------|----------|---------|----------| | 2025-01-01 | 120 | 80 | 30 | 10 | ...

Boundary Case

Input:

brand_name=UnknownBrand, date_range=2025-01-01 to 2025-01-31, sentiment_threshold=0.5, output_format=table

Fix:

Verify the brand name spelling or expand the date range.

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Workflow Steps

1. Scrape brand mentions from search engines, social media, and news sources.
2. Clean and deduplicate the data.
3. Perform sentiment analysis on each mention.
4. Benchmark against a baseline period (e.g., the same dates last month).
5. Generate a report with mention counts, sentiment distribution, and trend chart.