How to Use the Sentiment: Platforms Tool for Platform-Level Sentiment Analysis

Overview

The Sentiment: Platforms tool in Writesonic's Generative Engine Optimization (GEO) suite gives you a clear, data-backed picture of how your brand is perceived across major AI-powered search engines and content platforms. It analyzes mentions of your brand and classifies them as positive, neutral, or negative, enabling you to spot opportunities, address risks, and maintain consistent brand perception.

Whether you're an SEO specialist ensuring your brand ranks favorably in AI answers, a content marketer aligning messaging with perception, or an enterprise managing reputation, this tool provides the insights you need.

Core Components

1. Best Platform

What this shows:

Identifies the AI platform where your brand receives the highest positive sentiment based on your tracked keywords. The platform displayed here represents your strongest performance, showing the total count of positive keywords that resonate well with that platform's responses.

Why it matters:

• Leverage strengths: Double down on successful strategies where your brand already resonates effectively
• Resource allocation: Focus marketing efforts on platforms showing the best reception
• Benchmark setting: Use your top performer as a model for improving weaker platforms

2. Weakest Platform

What this shows:

Highlights the AI platform with the highest negative sentiment for your tracked keywords. This metric pinpoints where your brand faces the most challenging perception, displaying the count of keywords generating unfavorable responses.

Why it matters:

• Priority intervention: Quickly identify platforms needing urgent reputation management
• Risk mitigation: Address negative perceptions before they spread or solidify
• Growth opportunities: Transform your biggest challenge into your next success story through targeted optimization

3. Sentiment Distribution Across Platforms

What this shows:

A stacked bar chart comparing positive (green) versus negative (red) sentiment percentages across all monitored AI platforms. Each bar represents 100% of the sentiment for that platform, making it easy to spot which platforms lean positive or negative at a glance. Platforms included typically cover ChatGPT, Google AI Mode, Perplexity, Gemini, Microsoft Copilot, and Grok.

Why it matters:

• Holistic view: Instantly understand your sentiment landscape across the entire AI ecosystem
• Pattern recognition: Identify whether issues are isolated to specific platforms or widespread
• Strategic planning: Make informed decisions about where to invest optimization efforts
• Trend spotting: Quickly identify platforms that may need attention before problems escalate

4. Keyword Sentiment Across Platforms

What this shows:

A detailed table breaking down specific keywords and their sentiment performance on each platform. For every AI platform monitored, you can see:
• Top positive keywords that generate favorable responses • Top negative keywords that trigger concerning content • Keyword counts and relevance indicators

Each platform gets its own row with green-tagged positive keywords and red-tagged negative keywords, making platform-specific patterns immediately visible.

Why it matters:

• Granular insights: Understand exactly which terms drive positive or negative sentiment on each platform
• Content optimization: Craft platform-specific strategies based on actual keyword performance
• Quick wins: Identify easy improvements by addressing problematic keywords or amplifying successful ones
• Competitive advantage: Tailor your messaging for each platform's unique response patterns
• ROI focus: Prioritize optimization efforts on high-impact keywords that appear across multiple platforms

How to Use This Data

1. Start with extremes: Review your Best and Weakest platforms to understand your performance range
2. Analyze the distribution: Check if sentiment patterns are consistent across platforms or vary significantly
3. Deep dive into keywords: Use the keyword table to identify specific terms driving sentiment
4. Create targeted strategies: Develop platform-specific content based on each platform's sentiment profile
5. Track progress: Monitor changes regularly to measure the impact of your optimization efforts

FAQs

Q: How often is the sentiment data updated?
A: Sentiment data updates in real-time as new content is analyzed across platforms, ensuring current insights.

Q: What determines positive or negative sentiment classification?
A: Keywords are classified based on context and tone in AI-generated responses using advanced sentiment analysis algorithms.

Q: Can I customize which platforms are included?
A: The analysis covers major AI platforms by default. Enterprise accounts may have additional customization options.

Q: How should I prioritize platform optimization?
A: Focus first on high-traffic platforms important to your business, then address weakest performers to prevent reputation risks.

Q: What if a platform shows 100% positive or negative sentiment?
A: Extreme scores usually indicate limited data. Consider expanding your keyword set or allowing more time for data collection.

Q: How do these scores relate to actual user perception?
A: These scores reflect how AI platforms present your brand, which increasingly influences user perception as AI adoption grows.

Q: Can I export this data for reporting?
A: Yes, sentiment data and visualizations can be exported for reports and presentations through the platform interface.