# 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.

## Gap Analysis

Gap Analysis answers a narrower question than visibility tracking: not "how visible are we", but "exactly where are we absent, and what is winning instead". One gap is a topic paired with a single AI engine the brand is absent on, so the same topic can be an open gap on ChatGPT while being fine on Perplexity.

Gap Analysis provides:

- **A register of open gaps.** Every topic × engine pair the brand is currently absent on, showing which engines are affected, how many weeks the gap has stayed open, and whether it is newly opened or recurring.
- **Weekly trend.** The current number of open gaps, the week-over-week change, and how many gaps closed versus opened, so progress is measurable rather than anecdotal.
- **Per-engine filtering.** Narrow the register to any engine your plan tracks, since a gap on one engine rarely means a gap on all of them.
- **Prompt-level evidence.** Open a topic to see the individual prompts the brand is missing from, each with its own history of how long it has been open.
- **The citations winning without you.** For each absent prompt, the pages AI engines cite instead, with the source domain, the page type (product or service page, blog, homepage, listing, social), whether that domain is a direct competitor, an indirect one, or a third-party source, and how many analysis runs and weeks it has kept being cited. Recurrence is the signal: a page cited once is noise, a page cited every run is the thing to beat.
- **Keyword targets.** The keywords shared across those winning pages, with search volume, how persistently they appear across runs, and how many of the cited pages cover them. This turns a gap into a concrete content brief rather than an observation.
- **On-demand recomputation.** Trigger a fresh gap computation for a project rather than waiting for the next scheduled cycle.

More detail at https://seerly.app/platform/gap-analysis

## Autonomous Agents

Seerly's agents run marketing workflows on a schedule rather than waiting to be asked. Instead of surfacing a dashboard the user has to interpret, an agent analyses what changed, drafts the work needed to respond, and puts it up for approval.

Agents provide:

- **Scheduled runs.** Agents run on a recurring cadence, monitoring visibility, trends, and content opportunities without manual triggering.
- **Analyse, draft, request approval.** Each run analyses the issues it finds, drafts the corresponding output (a content brief, a recommended action, a draft post), and requests human approval before anything is published.
- **Human in the loop.** Nothing an agent produces goes live automatically. Every output is reviewed, approved, rejected, or edited by the team.
- **Feedback loop.** Rejection and dismissal reasons are captured and fed back into subsequent runs, so an agent's suggestions improve as the team corrects them.
- **Agent chat.** Talk to an agent directly to ask about its findings or request specific work. Monthly message allowances vary by plan.

More detail at https://seerly.app/platform/agents

## Keyword Universe

The Keyword Universe is the map of search demand around your category, grouped into topic
clusters and rated for how well each cluster fits your brand. It is where you decide what
Seerly should track.

A run is scoped to a site and a target country, so the search volumes and competition figures
describe the market you actually sell into.

The Keyword Universe provides:

- **Universe-level metrics.** Total search volume, total keywords, topic clusters, and how
  many keywords are on target, each with a drilldown.
- **Topic clusters.** Related keywords grouped under a named cluster, viewable as cards or a
  sortable table. Sort by name, keyword count, monthly searches, or priority.
- **Brand-fit rating.** Every cluster is marked on brand, mostly on brand, or mostly off
  brand. Off-brand clusters stay visible rather than being hidden, because adjacent demand is
  often worth knowing about even when you decide not to chase it.
- **Per-keyword detail.** Search volume, competition, CPC and difficulty for each keyword in
  a cluster.
- **Search across the map.** Search cluster names, or search inside every keyword in every
  cluster, with live match counts so an empty result is never ambiguous.
- **On-demand rebuilds.** Rebuild the universe when your category or focus changes, with
  live progress while it runs.

### Why the Keyword Universe matters beyond the keyword page

The Keyword Universe is not a standalone report. The clusters you approve become the topics
your project tracks, and the rest of the platform is measured against them:

- **The topics Seerly tracks are created from it.** Approving clusters creates your discovery
  topics, carrying their anchor keywords across.
- **It determines what gets monitored.** Those topics decide which prompts are sent to AI
  engines on every run, so visibility, sentiment and citation results all describe the set the
  universe defined.
- **Content briefs are built from it.** Keyword strategy and target keywords in the content
  workflow resolve from your approved clusters rather than a separate list.
- **Agents read the same source**, so their suggestions come from the approved map rather than
  independent research.

The practical consequence: a universe scoped to the wrong country, or padded with
adjacent-industry noise, does not just produce an untidy keyword list. It seeds the wrong
topics, and every downstream number then describes a market you do not sell into. Scoping the
run correctly is what makes the rest of the platform's numbers trustworthy.

More detail at https://seerly.app/platform/keywords

## Keyword Playground

The Keyword Playground clusters any input you give it without touching your project's saved
universe. It exists for the questions asked before committing: what a competitor ranks for,
what a new category looks like, whether a product line is worth building content around.

The Keyword Playground provides:

- **Flexible seeding.** Start from a list of seed keywords or a single URL.
- **Full or shallow mode.** Full mode explores long-tail demand and builds the full
  hierarchy; shallow mode clusters only the input set, for a faster read.
- **Optional brand brief and target country.** Steer the clustering and scope search metrics
  to a market.
- **Live run progress.** Watch the run as it works through expansion and clustering.
- **Run history.** Previous runs are kept so results can be compared, and every result is
  disposable.

More detail at https://seerly.app/platform/keywords
## Primed Prompts

Primed Prompts lets teams build and reuse prompt sets designed for repeatable monitoring and testing. Because AI answers vary by phrasing, a stable, reusable prompt set is what makes visibility measurable over time rather than anecdotal.

Primed Prompts provides:

- **Reusable prompt libraries.** Build prompt sets once and run them repeatedly for consistent, comparable measurement.
- **Repeatable monitoring.** The same prompts run on each analysis cycle, so changes in visibility reflect changes in AI answers rather than changes in what was asked.
- **Testing.** Trial new prompt phrasings before committing them to ongoing monitoring.

More detail at https://seerly.app/platform/primed-prompts