> ## Documentation Index > Fetch the complete documentation index at: https://apidocs.writesonic.com/llms.txt > Use this file to discover all available pages before exploring further. # Overview > The page is your central hub for understanding how AI search engines perceive and talk about your brand. It aggregates sentiment data from AI-generated responses across platforms like ChatGPT, Perplexity, Claude, Google AI Overviews, and others — giving you a clear picture of whether your brand is being described or when it appears in AI answers. Think of it this way: visibility tells you \_**if your brand is mentioned**, but sentiment tells you \_**how it's mentioned**. A brand that's frequently mentioned but in a negative light may actually be worse off than one with fewer but positive mentions. This page helps you monitor, measure, and act on that distinction. *** ## Who Is This Page For? * **Marketing & Brand teams** who want to monitor public perception of their brand in AI-generated content. * **SEO & GEO specialists** tracking how sentiment shifts correlate with content updates and optimization efforts. * **Enterprise teams** managing reputation across multiple markets, platforms, and product lines. * **Executives & stakeholders** who need a quick, high-level read on brand health in the AI search landscape. *** ## Page-Level Filters Before diving into the data, you can refine what you see using filters at the top of the page: * **Date range selector** — Choose and compare two time periods (e.g., *12 Jan 2025 vs. 12 Jan 2025*) to track how sentiment has shifted over time. * **Markets** — Filter by the geographic region/market you're tracking (e.g., *All markets* or a specific country). * **Topics** — Narrow down to specific topics configured during your GEO setup. * **Platform** — View sentiment from a specific AI platform (e.g., ChatGPT, Perplexity, Google AI Overviews) or across all platforms. * **Tags** — Apply custom tags to segment and filter your sentiment data further. These filters let you isolate exactly the data you need — whether you're looking at a specific market, a particular AI platform, or a narrow topic area. *** ## Key Metrics (Summary Cards) At the top of the page, you'll see four high-level metrics that give you an instant snapshot of your brand's sentiment health: ### Overall Sentiment Score A **single numeric score** that represents the net sentiment of your brand across all tracked AI answers. This score accounts for both positive and negative mentions and provides a quick health check. * A **higher score** means AI platforms are describing your brand more favorably. * A **declining score** (indicated by a red percentage change) signals that negative mentions may be increasing or positive ones are dropping. * Use this as your **primary sentiment KPI** when reporting to stakeholders. ### Positive Sentiment Keywords The **total count of keywords** associated with positive sentiment about your brand. These are the terms AI engines are using in a favorable context when mentioning your brand. * An **upward trend** here means AI platforms are associating more positive language with your brand. * Monitor this alongside your content and PR efforts to see what's driving positive perception. ### Negative Sentiment Keywords The **total count of keywords** tied to negative sentiment. These keywords appear in AI responses where your brand is discussed in a less favorable or critical tone. * An **increasing count** here is a signal to investigate which themes or topics are driving negativity. * Cross-reference with the **Theme Performance** section (below) to pinpoint specific problem areas. ### AI Visibility Your brand's **overall AI visibility percentage** — the share of tracked AI responses that mention your brand. While not exclusively a sentiment metric, it provides critical context: sentiment data is only meaningful if your brand has enough visibility for it to matter. * A **rising visibility paired with positive sentiment** is the ideal scenario. * **Rising visibility with increasing negative sentiment** needs immediate attention — more people are seeing unfavorable mentions. *** ## Sentiment Distribution Over Time This chart visualizes how **positive and negative mentions** trend across your selected date range. It displays sentiment volume on a **weekly** (or custom) basis, allowing you to spot patterns, spikes, and dips. **What to look for:** * **Consistent green (positive) above red (negative)** — Healthy brand perception. AI platforms are talking about you favorably. * **Spikes in negative sentiment** — Could indicate a product issue, a competitor campaign, or negative press that AI engines have picked up. * **Crossover points** — When negative sentiment overtakes positive, this is a critical moment that warrants investigation. * **Previous period comparison toggle** — Enable this to overlay a prior time period and see how sentiment has improved or declined. **How to use it:** * Correlate sentiment shifts with your own marketing activities, product launches, or industry events. * If you see a spike in negative sentiment, drill down into the **Theme Performance** table (below) to identify which specific themes are driving it. * Export the chart data using the **download icon** for use in reports or presentations. *** ## Most Mentioned Keywords A **word cloud** that visualizes the keywords most frequently associated with your brand across AI responses, sized by **mention frequency** and colored by **sentiment**. **How it works:** * **Larger keywords** appear more frequently in AI-generated answers about your brand. * **Color coding** indicates sentiment — keywords in positive sentiment are visually distinguished from those in negative sentiment. * **Hover over any keyword** to see the exact mention count and its sentiment classification (e.g., *"User-friendly interface — Positive — Mentioned 123 times"*). **Why it matters:** * Quickly identify the **dominant narratives** AI engines are building around your brand. * Spot **emerging keywords** — new terms appearing in the cloud may signal shifting perception. * If negative keywords are growing larger (more frequent), it's a sign you need to address the underlying issues in your content or product experience. *** ## Theme Performance The **Theme Performance** section is the most actionable part of the Sentiment Overview page. It breaks down your brand's sentiment into **recurring themes** — the topics and patterns that AI platforms consistently associate with your brand. ### Tab Navigation The section is organized into five tabs, each showing a count of themes: * **Top Themes** — The most frequently mentioned themes across all AI responses. These represent the core narratives AI engines are building around your brand. * **Sentiment Gains** — Themes where positive sentiment has **increased** compared to the previous period. These are your wins. * **Sentiment Drops** — Themes where sentiment has **declined**. These need attention and potentially a targeted content or messaging response. * **Rising Mentions** — Themes that are being mentioned **more frequently**, regardless of sentiment. Useful for spotting trending topics. * **Falling Mentions** — Themes that are **losing traction** in AI responses. Could indicate decreasing relevance or shifting AI platform focus. ### Theme Table Each theme in the table includes: * **Theme name** — The specific topic or pattern (e.g., *Intuitive user interface*, *Responsive design*, *Seamless integration*). * **Sentiment score** — A numeric score with a visual bar showing the positive-to-negative ratio. Higher scores (with green bars) indicate more positive sentiment; lower scores (with red indicators) signal predominantly negative sentiment. * **Sentiment change indicator** — An arrow showing whether sentiment has improved (↑) or declined since the previous period. * **Mention count** — How many times this theme appeared in AI responses during the selected period. * **Mention change indicator** — An arrow showing whether mentions are increasing (↑) or decreasing (↓) compared to the prior period. ### Expandable Sub-Themes Click the **expand arrow (>)** next to any theme to reveal its **sub-themes** — the specific keywords and phrases that make up that broader theme. Each sub-theme shows its own sentiment score and mention count, giving you granular visibility into what's driving the overall theme's performance. For example, expanding *"Seamless integration"* might reveal sub-themes like: * *User-friendly interface* * *Quick load times* * *Comprehensive documentation* * *Frequent updates* This drill-down helps you understand not just *what* AI is saying, but the **specific attributes** driving positive or negative perception. ### How to Use Theme Performance * **Prioritize themes with high mentions and declining sentiment** — These are high-impact areas where negative perception is spreading at scale. * **Double down on themes with sentiment gains** — Identify what you're doing right and amplify it in your content strategy. * **Investigate rising mentions with low sentiment scores** — A theme gaining traction for the wrong reasons needs a swift content or messaging response. * **Use falling mentions as a signal** — If a previously strong theme is losing mentions, refresh the associated content to keep it relevant. *** ## Best Practices for Using Sentiment: Overview * **Check weekly.** Sentiment shifts can happen fast, especially after product updates, PR events, or competitor activity. A weekly review cadence helps you catch changes early. * **Pair sentiment with visibility.** A sentiment score in isolation doesn't tell the full story. Always consider it alongside your AI visibility metrics — high visibility with poor sentiment is more damaging than low visibility. * **Use filters strategically.** Don't just look at the aggregate. Filter by platform to see if sentiment issues are platform-specific (e.g., poor sentiment on ChatGPT but positive on Perplexity). Filter by topic to isolate which product areas are driving negative perception. * **Act on Theme Performance.** The theme table is your most actionable tool. Use it to brief content teams, inform product messaging, and identify specific areas for improvement. * **Export and share.** Use the download icons on charts and tables to pull data into reports and presentations for stakeholders. *** *** [Overview: Platforms](/docs/overview-platforms) [Sentiment: Themes and Keywords](/docs/all-themes)