TL;DR — Audit your prompt set in Workspace > Monitoring by checking topic breadth, funnel stage balance, and phrasing realism. Go to Visibility > Prompts sorted by mention rate ascending to find zero-visibility queries that may be your biggest blind spots. Use Insights > Query Fan-Out to discover high-volume queries you are not monitoring yet and add them directly. Pro tip: filter Query Fan-Out by a competitor’s brand name to find the queries where they win and you are not even tracking.
The Question
“Am I monitoring the right prompts to track my AI visibility?”Qwairy’s measurement quality depends entirely on the quality of your monitored prompts. If you are tracking questions no real user actually asks, your visibility metrics are measuring the wrong thing. If you are missing the specific phrasings AI users type into ChatGPT or Perplexity, you have blind spots in your coverage. This page shows you how to audit your current prompt set and systematically find the gaps. You might also be wondering:
- “How many prompts should I be monitoring to get reliable visibility data?”
- “Are my prompts covering all the topics and funnel stages that matter to my business?”
- “How do I discover new prompts I am not monitoring yet?”
Where to Go in Qwairy
Start here: Workspace > Monitoring
Navigate to Workspace > Monitoring — this is where all your monitored prompts live.
Review the full list and ask three diagnostic questions: Are all major product/service topics represented? Are all funnel stages present (awareness, consideration, decision)? Are there prompts that have never generated a brand mention after 30+ runs — meaning they may not be relevant to your category?
The monitoring settings view shows you each prompt’s last run date, run frequency, and assigned tags/topics, so you can quickly spot gaps in coverage or prompts that have been neglected.
Go deeper: Visibility > Prompts
Cross-reference with Visibility > Prompts — this is the analytics view for your existing monitored prompt set.
The Prompts page shows mention rates, sentiment, and citation rates per prompt. Sort by Brand Mention Visibility ascending to find prompts where you have zero or near-zero visibility — these could be high-priority gaps (you are invisible on a real query) or prompts that simply do not involve your category (low-relevance prompts generating noise).
Use the Topic and Tag filters to check whether each major area of your business has at least 3–5 monitored prompts with active results.
Complete the picture: Insights > Query Fan-Out + Strategy > GSC
Open Insights > Query Fan-Out to discover prompts you are not monitoring yet. Query Fan-Out surfaces questions and queries that real users are asking AI tools about your category — use the “Add to prompts” button directly on any result to add high-value queries to your monitoring set.
Simultaneously, check Strategy > Google Search Console for high-impression, low-click keywords in your GSC data. These are queries where users see your result but do not click — an indicator they may be getting the answer from an AI tool instead. These GSC queries are strong candidates for new monitored prompts.
What to Look For
Monitoring Settings — Coverage Audit
A well-constructed prompt set has three characteristics: topic breadth (all your major product/service areas are represented), funnel depth (awareness, consideration, and decision-stage prompts each exist), and phrasing realism (prompts are written the way a real user would type them into ChatGPT, not the way a marketer would write a keyword).| Element | What it tells you |
|---|---|
| Topic coverage per tag | Whether any major business area has fewer than 3 active prompts |
| Funnel stage distribution | Whether you are only monitoring top-of-funnel queries and missing decision-stage prompts |
| Last run date | Whether any prompts have stale data because they were paused or not scheduled |
| Zero-mention prompts (30+ runs) | Prompts that consistently generate no mention of any brand — likely too niche or miscategorized |
Query Fan-Out — New Prompt Discovery
Query Fan-Out is your expansion tool. It shows queries that are actually being searched in your category, giving you a data-backed way to expand your monitored prompt set beyond what you guessed to add at setup.Pro Tip: Filter Query Fan-Out by your main competitor’s brand name to find queries where they appear but you do not. These are your highest-priority prompt gaps — you are not monitoring questions where a competitor is already winning.
Filters That Help
| Filter | How to use it for this question |
|---|---|
| Topic / Tag | Check coverage per topic — if a tag has only 1–2 prompts, it is under-monitored |
| Funnel Stage | Verify you have prompts at each stage: awareness, consideration, and decision |
| Period | Look at 90-day data to distinguish consistently low-visibility prompts from temporary dips |
How to Interpret the Results
Good result
At least 3 active prompts per major topic tag, balanced across funnel stages. The Prompts page shows varied visibility rates (some high, some low) — this indicates your prompt set spans both competitive and non-competitive queries, giving you a realistic picture. Query Fan-Out reveals only a handful of new prompts to add, and most of them are edge cases rather than core gaps. GSC data confirms most high-impression queries already have a monitoring counterpart.Needs attention
Entire topic categories with zero monitored prompts. All monitored prompts clustered at the awareness stage with no decision-stage queries (e.g., no “best [category] for [use case]” prompts). Query Fan-Out surfaces 10+ high-volume queries in your category that you are not monitoring. Or: all monitored prompts show 100% brand visibility — this almost always means the prompts are too brand-name-specific (e.g., “Acme Software features”) rather than category queries where you compete for share of voice.Example
Scenario: A medical device company specializing in diagnostic imaging equipment has been monitoring 10 prompts for 3 months and wants to know if they are covering the right ground for healthcare procurement queries.
- Open Workspace > Monitoring and review the 10 prompts. Seven are awareness-stage questions (“what is MRI imaging,” “how does ultrasound diagnostics work,” “medical imaging technology overview”). Only three are decision-stage (“best MRI machines for hospitals,” “Siemens vs GE vs alternatives for radiology”). There are zero prompts tagged under “FDA compliance,” “point-of-care imaging,” or “veterinary diagnostics” — all significant product areas.
- Open Visibility > Prompts and sort by mention rate ascending. The three decision-stage prompts have 14%, 19%, and 21% mention rates — the most strategically important queries also have the lowest visibility. The awareness prompts show 65–80% mention rates because the brand is well-established in the imaging space, but these queries rarely influence hospital purchasing committees.
- Open Insights > Query Fan-Out and filter to “point-of-care ultrasound.” Find 9 active queries about portable diagnostic equipment being asked across AI platforms. Add 5 of the highest-volume ones to monitoring using the “Add to prompts” button — including “best point-of-care ultrasound for emergency departments” and “portable imaging devices FDA cleared 2025.”
Go Further
Prompt setup documentation
Read the Tracking Queries documentation for the complete guide to choosing and configuring monitoring prompts
Video: choose the right prompts
Watch the video tutorial on how to select, test, and organize the right prompts for your monitoring setup
Generate prompt ideas via Claude
Connect the Qwairy MCP server to Claude to automatically generate prompt ideas based on your brand and market
Related Questions
How should I organize my prompts with tags and topics?
Structure your monitored prompt set for cleaner reporting and filtering
Which AI providers should I prioritize monitoring?
Decide which AI platforms to include in your monitoring configuration
How do I use Query Fan-Out to discover prompts?
A detailed workflow for turning Query Fan-Out results into monitored prompts
What are the highest-priority actions to improve AI visibility?
Turn your prompt audit findings into a prioritized action plan