Queries
See which questions lead to citations about your brand - and find content opportunities you're missing.
- See which search queries trigger citations about your brand
- Understand user intent behind different query patterns
- Find content gaps where competitors get cited and you don't
- Turn high-value queries into tracked prompts
Sources shows you where you're cited. Queries shows you why - what questions people ask that lead AI to mention your brand.
This is content strategy gold. You see exactly which user questions result in your brand being recommended (or ignored).
What Queries reveals
Every citation exists in context. Someone asked a question, an AI model searched for answers, and a source got cited. Queries reverse-engineers that process.
When you see:
| Query | Your status | Top sources |
|---|---|---|
| "best CRM for small business" | Position 2 | G2, Capterra, Forbes |
| "Salesforce alternatives" | Missing | G2, Software Advice |
| "HubSpot vs Salesforce" | Position 1 | TechRadar, G2 |
You learn:
- You're strong on direct comparisons but missing from "alternatives" content
- G2 is crucial - it appears across multiple query types
- There's a content gap: no one is citing you for "alternatives" queries
The queries table
Each row is a query pattern that triggered citations in your category.
Query - The actual question or search pattern.
Intent - What the searcher is trying to accomplish. Trakkr classifies every query into one of five intents:
| Intent | What it means | Example |
|---|---|---|
| Discovery | Exploring a category, no specific brand in mind | "best running shoes for marathons" |
| Comparison | Evaluating specific alternatives | "Nike vs Adidas for trail running" |
| Best For | Looking for fit with specific needs | "best running shoes for flat feet" |
| Alternative | Seeking options to replace something | "alternatives to Nike Vaporfly" |
| Recommendation | Asking for a ranked recommendation | "recommend a running shoe under $150" |
Your status - Are you cited for this query?
| Status | What it means |
|---|---|
| Citing you | Your brand appears in citations for this query |
| Gap | Competitors appear in citations for this query, you don't |
| New | Query first appeared in the most recent scan |
Top sources - Which sites get cited most for this query.
Why intent matters
Different intents require different responses.
Discovery intent - "best project management software"
These searchers are early in the journey. They want roundups, comparisons, lists. If you're not cited, you're not in the consideration set.
Action: Get included in list articles, roundup posts, "best of" content on authoritative sites.
Comparison intent - "Notion vs Confluence"
Direct head-to-head. The searcher is actively deciding between options. Citations here heavily influence purchase decisions.
Action: Create comparison content. Ensure G2, Capterra, and similar sites have favorable comparisons.
Best For intent - "best CRM for small remote teams"
Use-case driven. The searcher has specific constraints - team size, budget, industry. AI matches answers to fit, not just category leaders.
Action: Build content that maps your product to specific use cases. Get into specialized roundups for your strongest niches.
Alternative intent - "alternatives to Confluence"
They've rejected or are moving away from something. You want to be the destination.
Action: Create "alternative to X" content. Get mentioned in competitor comparison content.
Recommendation intent - "recommend a CRM for a 20-person sales team"
The searcher is asking for a single answer. Highest-leverage queries: getting cited as the recommendation, not just a list entry, is what drives visibility wins.
Action: Earn first-position mentions on authoritative ranking content for your category.
Expanding a query row
Click any query to see the full picture:
Coverage by provider - A breakdown of how often you're cited for this query on ChatGPT Search, Google AI Overviews, and Perplexity. Useful for spotting platform-specific gaps.
Cited URLs - Every URL the AI platforms returned as a source for this query. The actual content driving the answer.
Competitors appearing - Which of your competitors are cited for this query. If three competitors appear and you don't, that's a high-priority gap.
Original prompts - Which of your tracked prompts produced this query (sometimes a prompt expands into several search queries inside the AI's reasoning).
Related queries - Similar patterns. If you're missing from "best CRM software," you might also check "top CRM tools" and "CRM recommendations."
Persona - If you've defined personas, the most likely persona for this query is shown so you can prioritize by audience.
Finding content opportunities
The highest-value queries are usually in one of these categories:
Near-wins
Queries where you appear but not prominently. Position 3-5 instead of 1-2.
Why they matter: You're already in the consideration set. A small push - better source coverage, improved positioning - can flip you to the top.
Competitor-only gaps
Queries where competitors are cited and you're not.
Why they matter: These are customers asking questions where AI recommends your competition. Every one is potential revenue you're losing.
High-intent queries
Comparison and evaluation queries close to purchase decisions.
Why they matter: Even if volume is lower, conversion is higher. Being cited when someone asks "is [Your Brand] worth it" directly impacts sales.
From queries to content
Found a gap query that matters? Click Create content on the row.
Trakkr opens the content composer pre-filled with the query, the intent, the competitors winning it, and a flag that this is a citation gap. The composer can plan an article that's specifically structured to win this kind of query - addressing the intent, referencing the right comparison set, and matching the framing AI platforms reward.
This creates a feedback loop: discover queries in Citations → publish content that targets the gap → re-run research → watch the gap close in the Feed.
A practical workflow
Week 1: Discovery
- 1Open Queries, filter to "Gaps"
- 2Note the top 5 gap queries by relevance to your business
- 3For each, expand and identify which sources dominate
- 4Add the most important 2-3 as tracked prompts
Week 2: Analysis
- 1Open Sources, filter to the sources you identified
- 2Read what they actually say about competitors
- 3Identify why they cite competitors but not you
Week 3: Action
- 1Create content addressing the gap (comparison pages, guides)
- 2Reach out to publications for review or inclusion
- 3Update existing content to better match query intent
Week 4+: Measure
- 1Run research again
- 2Check if your gap queries improved
- 3Review new queries that emerged
- 4Repeat
Next steps
For the competitive big picture:
View the Heatmap
See your entire citation landscape vs competitors in one grid.
Ready to act on your gaps?
Plan Outreach
Prioritize which sources to approach and track your progress.
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