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Citations are available on paid plans only. Trakkr collects and stores citation data from your daily reports to give you insights into how AI models learn about your brand. Upgrade to access
Citations shows you the actual web sources that AI models reference when answering questions about your industry. When you run daily prompts, AI models often use citations to inform their responses—and these sources directly influence how they understand and recommend your brand. Understanding which websites, articles, and discussions AI models rely on gives you unique insights into:
  • Content influence: Which domains and articles shape AI model opinions about your industry
  • Competitive intelligence: Where competitors are getting mentioned and why
  • Reputation monitoring: How your brand is being discussed in AI-referenced content
  • Content strategy: What topics and sources you should target to improve AI visibility

How Citations Work with Daily Tracking

Citations are automatically collected from your daily reports on paid plans. Each day when Trakkr runs your prompts across AI models, we capture and store any citations the models reference in their responses. Over time, this builds a comprehensive database of:
  • Which sources AI models trust for information about your industry
  • How often specific domains and competitors appear in citations
  • What search queries models use to find relevant information
  • How your brand is represented in the content AI models reference
The Citations feature has three tabs that help you analyze this data from different angles:

Citations

View all web sources AI models reference when answering your prompts

Search Queries

See the actual search terms AI models use to find citations

Knowledge

Understand what AI models know about your brand specifically

Citations Tab

The main Citations tab shows all the web sources that AI models reference when responding to your prompts. This is where you discover which content is actually influencing how AI models understand and recommend brands in your industry. Screenshot2025 11 06at19 23 49 Pn

Summary Metrics

At the top, you’ll see two key sections: Top Domains The domains that appear most frequently in citations. Citation share shows what percentage of all citations come from each domain. For example, if a domain has 18% citation share, it appears in 18% of all citations collected. Top Competitors The brands that most frequently appear in citations alongside your prompts. This reveals which competitors are getting mentioned in the content that AI models reference when discussing your industry.

Most Important Citations

The main section shows individual citations ranked by importance. Each citation displays:
ColumnDescription
Title & DomainThe article title and source domain. Click the title to visit the original URL.
Times CitedHow many times this citation has appeared across your daily reports.
Competitors ReferencedThe number of competing brands mentioned in this citation.
First SeenWhen this citation first appeared in your tracking.
Last SeenThe most recent time this citation appeared in a model response.
Expanding Citation Details Click the expand arrow on any citation to see:
  • Competitors mentioned: All brands referenced in this article
  • Prompts which this citation appeared in: Which of your tracking prompts caused models to reference this citation
  • AI search queries which found this citation: The actual search terms models used to discover this content
Filtering for Brand Mentions Click the “Brand Mentions” button to filter citations to only show articles that specifically mention your brand. When viewing citations that mention your brand, you’ll also see sentiment indicators:
  • Positive: The citation discusses your brand favorably
  • Neutral: The citation mentions your brand without strong sentiment
  • Negative: The citation includes criticism or concerns about your brand
Focus on high-frequency citations with negative or neutral sentiment—these are opportunities to improve how AI models understand your brand by addressing concerns or creating better content.

Search Queries Tab

The Search Queries tab reveals the actual search terms AI models use when looking for information to answer your prompts. This helps you understand how models “think” about finding relevant information. Screenshot2025 11 06at19 24 44 Pn

Understanding Search Query Data

Each search query shows:
ColumnDescription
Search QueryThe exact search term the AI model used. Small tags below show which of your prompts triggered this search.
SearchesHow many times we’ve observed models making this specific search.
Presence RateWhat percentage of citations from this search query mention your brand. A 50% presence rate means half the articles found via this search include your brand.
Rank #1The brand most frequently mentioned in citations from this search query.
CitationsNumber of citations found via this search. Click “View” to see the actual articles.
Last SeenWhen this search query was most recently observed.

Integrating with Byword

You can connect the Byword integration to pull these Search Queries straight into Byword’s article and campaign creation flows. Import queries and insert them as Keywords or Titles with one click. Viewing Citations from a Search Click “View” on any search query to see a popup showing all the citations that models found using that search term. This reveals which specific articles and domains appear for different types of queries. Filtering Options
  • Show New: Display only search queries that appeared in recent reports
  • Export: Download the complete search query data as CSV
  • Search bar: Find specific queries by keyword

What This Tells You

Search queries reveal:
  • How AI models conceptualize searches about your industry
  • Which types of queries your brand appears in (and which ones you’re missing from)
  • What search terms consistently surface competitor content
  • Opportunities to create content targeting specific search patterns
Low presence rates on high-frequency search queries indicate blind spots. These are searches models make often, but your brand rarely appears in the results.

Knowledge Tab

The Knowledge tab shows what AI models know about your brand when directly prompted about you. Unlike the Citations and Search Queries tabs (which show citations from your tracking prompts), Knowledge specifically tests model understanding of your brand. Screenshot2025 11 06at19 25 24 Pn

How Knowledge Works

Trakkr asks AI models dozens of direct questions about your brand, such as:
  • “What is [Your Brand]?”
  • “How does [Your Brand] compare to competitors?”
  • “What are the main features of [Your Brand]?”
  • “Who uses [Your Brand]?”
For each question, we collect and analyze any citations the models reference to answer.

Knowledge Citation Data

The Knowledge tab displays citations organized by:
ColumnDescription
DR (Domain Rating)How authoritative and trustworthy the source domain is (0-100).
DomainThe website where this citation is hosted.
PA (Page Authority)The authority score of the specific page (0-100).
URL & TitleThe specific article or page the model referenced.
SentimentHow positively or negatively the citation discusses your brand.
VisibilityHow prominently your brand is featured in the content (0-100).
First SeenWhen this citation first appeared in Knowledge testing.
Citation Details Click on any citation to view:
  • Which AI model found this citation
  • Sentiment score and interpretation
  • Visibility score
  • Topic tags categorizing the content
  • The actual page title and snippet

What Knowledge Reveals

The Knowledge tab helps you understand:
  • What sources AI models consider authoritative about your brand
  • How your brand is described in the content models reference
  • Whether the information models have about you is accurate and up-to-date
  • Sentiment patterns across the content models use to learn about you
If you see outdated or inaccurate information in high-authority citations, consider reaching out to those sites to request updates or creating newer, more authoritative content.

Using Citations Strategically

Content Strategy

Identify content gaps by analyzing which domains and topics dominate citations:
  1. Review top domains to understand which publishers influence your industry
  2. Analyze competitors’ citation presence to see where they’re getting mentioned
  3. Look for high-frequency search queries with low presence rates (your blind spots)
  4. Create content targeting the search patterns and topics models care about

Reputation Management

Monitor how your brand is discussed in AI-referenced content:
  1. Filter for brand mentions to see all citations about you
  2. Track sentiment across citations over time
  3. Identify negative or neutral citations from high-authority domains
  4. Address concerns or create updated content to shift the narrative

Competitive Intelligence

Understand where competitors are gaining advantage:
  1. Review which competitors appear most frequently in citations
  2. Analyze which search queries consistently surface competitor content
  3. Identify domains that favor competitors over your brand
  4. Study competitor mention patterns to understand their positioning

Partnership Opportunities

Discover valuable websites and publishers in your industry that could become partners, guest post opportunities, or outreach targets. Learn more in our Outreach guide.

Best Practices

Track trends, not individual citations Focus on patterns over time rather than obsessing over single mentions. Look for:
  • Which domains consistently appear across citations
  • How your brand’s presence rate changes for key search queries
  • Sentiment trends across high-authority sources
  • Emerging competitors gaining citation frequency
Prioritize high-authority sources Citations with Domain Rating above 70 carry more weight with AI models and users. Focus your content and outreach efforts on these sources first. Monitor new vs. recurring citations Use the “Show New” filter to spot emerging content that’s gaining AI model attention. Recurring citations indicate established, trustworthy sources that models rely on heavily. Connect citations to your prompts When you see a citation appearing frequently, check which of your prompts trigger it. This reveals which topics and angles cause models to reference specific content. Address negative sentiment proactively If high-frequency citations about your brand show negative sentiment, investigate why and consider:
  • Addressing the concerns raised in that content
  • Creating updated, authoritative content with better sentiment
  • Reaching out to the publisher if information is inaccurate

Understanding How AI Models Use Citations

AI models use citations in several ways: Knowledge building: Models reference authoritative sources to learn facts about your industry, products, and brands. Verification: When uncertain, models search for current information to verify or update their understanding. Recommendations: The content models find via citations directly influences which brands they recommend and how they describe them. Context: Citations provide context about market positioning, competitive landscape, and brand reputation. By understanding which citations AI models rely on, you gain insight into how they’re forming opinions and making recommendations about your brand versus competitors.

Outreach Opportunities

Identify high-value websites for partnerships and guest posting opportunities

Sentiment Analysis

Track how AI conversations reflect your brand sentiment over time

Understanding Scores

Learn how citations influence your visibility and presence metrics