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TL;DR — Find every AI query in your category where competitors get cited and you do not by filtering for brand-absent results. Go to Insights > Query Fan-Out and toggle the “Brand Absent” filter to surface zero-brand queries sorted by volume, then check Visibility > Tracking Queries with the “Not mentioned” filter to see which of your own monitored prompts return no brand mentions. Cross-reference with Strategy > Google Search Console to split absent queries into “no content exists” vs. “content exists but is not AI-formatted.” Pro tip: export both lists as CSV and join on query text — rows appearing in both are your fastest wins, since you can reformat existing pages instead of starting from scratch.

The Question

“Which queries do AI models search for where my brand is absent?”
Every monitoring cycle, AI models process thousands of queries in your category. On many of them, your competitors are cited — and you are not. These zero-brand queries are your most direct conversion losses: a user asked a question your product could answer, the AI responded with a competitor’s name, and the conversation moved on without you. Identifying these queries systematically — rather than stumbling across them one by one — is the fastest way to prioritize both content creation and monitoring expansion. You might also be wondering:
  • “What content should I create to close these gaps?”
  • “Which AI providers generate the most answers where I’m invisible?”
  • “How do I track my brand mention rate over time?”

Where to Go in Qwairy

1

Start here: Insights > Query Fan-Out

Navigate to Insights > Query Fan-Out — the primary view for discovering queries processed by AI models in your category. Focus on the “Brand Absent” filter and sort by Query Volume descending to surface the highest-traffic gaps first.
2

Go deeper: Visibility > Tracking Queries (Prompts)

Cross-reference with Visibility > Tracking Queries. Apply the “Not mentioned” filter to your configured prompts to see which of your own monitored queries are producing AI answers that never include your brand. Use the Provider filter to see whether the absence is universal or engine-specific.
3

Layer in: Strategy > Content Opportunities

Open Strategy > Content Opportunities and filter for topics with Brand Gap % above 70%. This cross-references the raw query data with your competitive landscape, so you can confirm which absences represent genuine content gaps vs. prompts that are simply out of scope.
4

Complete the picture: GSC + Exports

Connect Google Search Console (Strategy > Google Search Console) to check whether you have organic impressions for the same queries. A query where you rank on page 1 of Google but are absent from AI answers is a critical structural gap — a signal that your page exists but is not formatted for AI citation. Export the full list via Workspace > Exports as CSV to share with your content team.

What to Look For

Query Fan-Out — Brand Absent View

The Query Fan-Out view aggregates queries that AI models in your category are processing, including queries you have not configured as prompts. It is the broadest possible lens on your AI visibility gap.
ElementWhat it tells you
QueryThe exact phrasing the AI model processed — use this verbatim in your content strategy
Brand AbsentToggle this filter to show only queries where your brand received zero mentions
Competitor AppearingWhich competitors are filling your absence — benchmark their cited content
Volume TrendRising volume = prioritize immediately; flat = schedule; declining = deprioritize
CategoryThe topic cluster this query belongs to, useful for grouping into content batches

Prompts — “Not Mentioned” Filter

Your configured prompts represent queries you have deliberately chosen to monitor. The “not mentioned” filter on this view answers a more pointed question: of the specific situations you care about, where is your brand failing to appear?
ElementWhat it tells you
Mention Rate (0%)A prompt where you have never appeared across any monitored provider
Provider BreakdownWhether the absence is universal (all providers) or isolated (one engine)
Response SnippetThe actual AI-generated answer — shows who is cited instead and why
Last DetectedWhether the absence is consistent or recent, helping you assess urgency

GSC Overlay — Organic vs. AI Presence

Connecting Google Search Console adds a critical dimension: for each absent query, you can see whether you have organic traffic to a relevant page. This splits absent queries into two actionable categories:
  1. No organic presence, no AI presence — you need new content from scratch.
  2. Organic presence, no AI presence — you have content but it is not structured for AI citation. This is the highest-ROI fix: a targeted rewrite of an existing page.
Pro Tip: Export the “not mentioned” prompt list and the GSC keyword list as separate CSVs, then join them on query text in a spreadsheet. Rows that appear in both are your fastest wins — existing content you can reformat for AI citation without starting from zero.

Filters That Help

FilterHow to use it for this question
ProviderIsolate ChatGPT-only or Perplexity-only absences — some engines favor different content formats
PeriodUse 30-day view to catch new gaps; use 90-day view to confirm structural absences
Topic/TagNarrow to a product line to build a focused gap list for a single team or sprint
Funnel StageFilter to Decision-stage queries first — these absences have the most direct revenue impact

How to Interpret the Results

Good result

Your “not mentioned” list contains fewer than 10 prompts, and those absences are concentrated in 1–2 topic clusters rather than spread across all your monitoring areas. This means your gaps are focused and actionable: 2–3 well-targeted articles can close them within 60–90 days.

Needs attention

If more than 40% of your monitored prompts return zero brand mentions, or if Query Fan-Out shows 20+ high-volume queries where you are absent, you have a structural AI visibility problem. This signals either a content coverage gap (you have not written about these topics) or a content structure problem (your existing pages are not cited despite covering the topic). Check whether competitors absent from your monitoring list are appearing — if unknown brands are being cited, your domain may be deprioritized by AI models due to thin content or poor page structure.
A query where you are “not mentioned” does not always mean you are unknown to the AI. Sometimes a brand is excluded because the prompt context makes a competitor more relevant (e.g., pricing comparisons where you are the more expensive option). Read the full AI response for each absent prompt before concluding the fix is purely a content problem.

Example

Scenario: You run a logistics and supply chain SaaS. You have 45 configured prompts. After applying the “not mentioned” filter, 21 prompts return zero brand mentions — including “best supply chain visibility software for manufacturers,” a high-intent query you expected to win.
  1. In Visibility > Tracking Queries, click the “best supply chain visibility software for manufacturers” row. Review the full AI-generated response. Note that two competitors are cited with links to their dedicated manufacturing-focused solution pages — pages you do not have.
  2. In Insights > Query Fan-Out, search for the “manufacturing supply chain” cluster. You find 7 related queries with rising volume, all with 0% brand presence for your brand, including “real-time shipment tracking for factories” and “supply chain risk management platform.”
  3. In Strategy > Google Search Console, search for “supply chain visibility software” — you find 1,800 monthly impressions on a generic platform overview page. You have traffic but the page covers all industries generically; the AI prefers specialized pages. Your action: create a dedicated manufacturing use-case page targeting all 7 query variants, then monitor re-citation rate over the next 3 monitoring cycles.

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