TL;DR — Target keywords where AI models actively generate answers and your brand is absent, not just keywords that drive organic traffic. Go to Strategy > Content Opportunities to find suggested keyword clusters ranked by Priority Score, then validate with Strategy > Google Search Console to identify keywords where you already have organic impressions but low AI visibility. Use BWT to confirm multi-engine AI demand before committing writing resources. Pro tip: build a three-tier keyword list — Tier 1 is high GSC impressions plus high AI gap plus multi-engine BWT coverage, and tackle tiers in order for maximum ROI.
The Question
“What keywords should I target to appear in more AI answers?”Ranking in Google and appearing in AI answers require overlapping but distinct strategies. A keyword that drives organic traffic is not automatically a keyword that triggers an AI citation — AI models select content based on topical relevance, specificity, and structural clarity, not just domain authority or backlink count. Qwairy helps you identify the keyword set where the AI citation opportunity is real, where your organic foundation gives you a head start, and where competitors have not yet locked in dominance. You might also be wondering:
- “What content should I create to improve my AI visibility?”
- “Which AI providers mention me most often?”
- “Are there topics where I rank well in Google but am invisible in AI?”
Where to Go in Qwairy
Start here: Strategy > Content Opportunities
Navigate to Strategy > Content Opportunities — the primary keyword discovery view for AI visibility.
Focus on the Suggested Keywords column and the Priority Score to identify which keyword clusters to target first.
Go deeper: Strategy > Google Search Console
Cross-reference with Strategy > Google Search Console to see your existing organic keyword performance.
Filter for keywords where you already have impressions above 500/month but AI visibility below 20% — these are your fastest wins because the intent signal exists and you have some domain presence.
Expand coverage: Insights > Query Fan-Out
Use Insights > Query Fan-Out to discover keyword variants and long-tail queries that AI models are processing but you have not yet configured as prompts.
Use the Category filter to group related keywords into content clusters rather than treating each keyword in isolation.
What to Look For
Content Opportunities — Keyword Suggestions
Each opportunity row includes a set of suggested keywords extracted from the queries AI models associate with that topic cluster. These are not generic SEO keywords — they are the specific terms and phrases that appear in AI-generated answers when the topic is discussed.| Element | What it tells you |
|---|---|
| Suggested Keywords | The terms most frequently appearing in AI answers on this topic — use these in your H2s, intro paragraphs, and FAQs |
| Semantic Variants | Related phrasings the AI model associates with the same intent — include these to cover the full query cluster |
| Competitor Density | How many competitors already target this keyword in AI-cited content — lower density = easier to enter |
| Priority Score | Composite urgency score combining volume, gap size, and competitor saturation |
| Funnel Stage | Awareness, Consideration, or Decision — determines where in your content hierarchy this keyword belongs |
GSC — Organic Keyword Baseline
Google Search Console reveals the keywords where you already have search presence. Overlaying this with Content Opportunities identifies three keyword categories:- High GSC impressions + High AI Gap — you have organic authority, write AI-optimized content now.
- Low GSC impressions + High AI Gap — competitive new territory, needs both SEO and AI-optimized content.
- High GSC impressions + Low AI Gap — your existing page may already be getting cited; check Citations to confirm.
BWT — Cross-Engine Intent Validation
BWT shows whether a keyword triggers AI-generated answers across multiple engines simultaneously. A keyword that only matters to one AI engine has limited ROI; a keyword that drives AI answers on ChatGPT, Perplexity, and Gemini simultaneously is a strategic priority.| Element | What it tells you |
|---|---|
| Engine Coverage | How many AI engines generate answers for this keyword |
| Answer Type | Whether the engine gives a list (you need to be on the list), a comparison (you need a comparison page), or a direct recommendation (you need a product-specific page) |
| Brand Mention Rate by Engine | Which engines are most receptive to your brand on this keyword — start there |
Pro Tip: Build your keyword list in three tiers. Tier 1 = high GSC impressions + high AI Gap + multi-engine BWT coverage (rewrite existing pages). Tier 2 = medium GSC + high AI Gap + single-engine BWT (create new targeted pages). Tier 3 = low GSC + medium AI Gap (long-term content investments). Tackle tiers in order.
Filters That Help
| Filter | How to use it for this question |
|---|---|
| Provider | See which engine generates the most AI answers for your target keywords — prioritize content for that engine’s citation style |
| Period | Use 90-day view to identify stable keyword opportunities vs. trending topics that may be seasonal |
| Topic/Tag | Focus on a single product area or persona to build a coherent keyword cluster rather than a scattered list |
| Funnel Stage | Target Decision-stage keywords first for revenue impact; Awareness keywords for long-term brand building |
How to Interpret the Results
Good result
Content Opportunities surfaces 10–15 keyword clusters with Priority Score above 60, and GSC confirms you already have organic impressions on 6–8 of them. BWT shows that 5+ of your top targets have multi-engine AI demand. This means you have a well-sized, actionable keyword list where your existing domain strength accelerates citation acquisition.Needs attention
If all your high-priority keywords also have Competitor Density above 80% (meaning competitors have multiple highly-cited articles on each topic), direct keyword targeting alone will not be enough. In this case, shift strategy: instead of competing on the same broad keywords, identify specific sub-topics or use-case variants within those clusters where competitor coverage is thin. If GSC shows very low organic impressions across the board (below 100/month on most keywords), you likely need to build domain authority before AI models will consistently cite your content on competitive keywords. Start with long-tail, specific queries where the bar for citation is lower.Example
Scenario: You run an e-commerce brand selling outdoor gear. Content Opportunities flags “best hiking backpacks for multi-day treks” as Priority Score 79, Brand Gap 71%. GSC shows 3,100 monthly impressions on your generic “hiking backpacks” category page. BWT confirms the keyword generates AI answers on both ChatGPT and Perplexity.
- Click the opportunity row in Strategy > Content Opportunities and note the 9 suggested keywords: “hiking backpack comparison,” “best backpacks for thru-hiking,” “ultralight trekking packs,” “multi-day hiking gear guide,” “backpack sizing for long trails,” and 4 variants.
- In Strategy > Google Search Console, confirm that your existing category page captures broad “hiking backpack” traffic but ranks on page 2 for “best hiking backpacks for multi-day treks” specifically. The page lists products but lacks the editorial depth and comparison format AI models prefer.
- Plan a dedicated buying guide that includes all 9 suggested keywords naturally, adds a structured comparison table (weight, capacity, price, best-for use case), and includes an FAQ section answering the 3 most common AI-processed query variants like “how many liters for a 5-day hike?” Set a 60-day re-monitoring checkpoint to measure citation rate improvement.
Go Further
Export keyword opportunity list
Export your AI keyword opportunities as CSV for integration with your SEO and content planning workflow
Keyword tracking dashboard
Build a keyword opportunity dashboard in Looker Studio using the keyword-performance data source
Connect GSC for keyword data
Read the GSC documentation to connect Google Search Console and cross-reference AI keywords with organic performance
Related Questions
What content should I create to improve my AI visibility?
From keyword list to full content plan in one workflow.
Are there topics where I rank well in Google but am invisible in AI?
Find where your SEO strength is not translating to AI citations.
How do I turn a content gap into an article AI models will cite?
The end-to-end production workflow once your keyword targets are set.
Which of my existing pages are most cited by AI?
Understand what makes your best-performing pages work.