# Seerly Features

Seerly provides a comprehensive suite of tools for monitoring, analysing, and improving how brands appear across Google rankings and AI answer surfaces. Each feature addresses a specific dimension of organic traffic growth and AI search visibility.

## Visibility Tracking

Visibility tracking is the foundation of Seerly's platform. It measures the percentage of relevant AI queries where a brand appears in the response. This is the AI search equivalent of tracking keyword rankings in traditional SEO — but instead of measuring link positions, it measures whether AI engines mention your brand at all.

Visibility tracking provides:

- **Per-engine breakdown** — see your visibility score for each AI engine separately (ChatGPT, Perplexity, Google AI Overview, etc.), since each engine may have very different awareness of your brand.
- **Position analysis** — when your brand is mentioned, Seerly tracks where in the response it appears. Being the first brand mentioned carries different weight than being listed among several alternatives.
- **Query coverage by topic** — understand which topic areas your brand is visible in and where you have blind spots. For example, you might be well-represented for product-related queries but absent from industry-trend discussions.
- **Trend tracking** — visibility scores are tracked over time so you can see whether your AI presence is growing, declining, or stable, and correlate changes with actions you've taken.

## Sentiment Analysis

Sentiment analysis tracks how AI engines perceive and describe your brand. This goes beyond simple mention detection — it analyses the language, tone, and framing that AI engines use when talking about your brand.

Sentiment analysis provides:

- **Sentiment categorisation** — each mention is categorised as positive, neutral, or negative based on the language used in the AI response.
- **Per-engine sentiment** — different AI engines may have different perceptions of your brand based on their training data and the sources they draw from. Seerly shows you sentiment broken down by engine.
- **Theme identification** — Seerly identifies the key themes and topics driving your sentiment in each direction. For example, you might have positive sentiment around product quality but negative sentiment around customer service.
- **Sentiment evolution** — track how your sentiment changes over time across all engines. This helps you measure whether your content and PR efforts are shifting AI perception.

## Citation Tracking

Citation tracking identifies which sources AI engines reference when discussing your brand. This is critically important because the sources an AI engine cites directly influence what it says — and by understanding which content earns citations, brands can optimise their content strategy accordingly.

Citation tracking provides:

- **Most cited content** — see which of your pages, blog posts, or other content pieces are most frequently cited by AI engines when they mention your brand.
- **Citation sources** — identify all sources being cited in conversations about your brand, including your own content, competitor content, third-party reviews, news articles, and industry publications.
- **Citation context** — understand in what context each source is being cited. A citation in a recommendation is very different from a citation in a criticism.
- **"Who's Citing You" view** — a dedicated view showing all the sources AI engines cite when talking about your brand, with frequency and context data.
- **Citation explorer** — browse through actual AI responses to see your citations in their full conversational context.

## Competitor Analysis

Competitor analysis provides a comparative view of your brand's AI search visibility against your competitors. This is essential for understanding your relative position and identifying opportunities.

Competitor analysis provides:

- **Comparative visibility** — see how your visibility score compares to each competitor across all tracked AI answer surfaces. Identify which competitors are mentioned more frequently and in which topic areas.
- **Comparative sentiment** — understand whether AI answer surfaces describe your competitors more favourably, and identify what drives those differences.
- **Citation comparison** — see which competitors' content earns the most AI citations, what content formats and structures perform best, and where your content gaps are.
- **Content pattern analysis** — Seerly analyses what competitors are doing differently that earns them better AI visibility, providing actionable intelligence for your content strategy.

## Tracked Actions

Tracked Actions is a feature that allows brands to log specific actions they take — such as publishing new content, updating existing pages, making technical site improvements, or launching PR campaigns — and then track the impact of those actions on their AI search metrics over time.

This creates a cause-and-effect timeline that helps brands understand which of their efforts actually move the needle on AI search visibility. Without this, improvements or declines in AI visibility are difficult to attribute to specific initiatives.