All organizations, prompts, values, dates, and outputs in this example are synthetic. Tool results depend on the authorized brand, filters, and stored data.
Build a content opportunity review
Use Qwairy MCP to investigate where competitors appear and your brand does not. Treat the result as evidence for a content hypothesis, not a guarantee of future mentions or citations.1
Find your content gaps
You: Where do competitors appear in AI responses but I don’t?Claude finds stored questions where competitors are mentioned and your brand is absent. Each gap is evidence to review, not proof that new content will earn a mention.
2
Analyze query variations
You: Show me the query fan-out: what search queries are AI using around my topics?Claude returns web search queries detected in the selected answers. Compare small query variations to see whether observed brand presence differs within the sample.
3
Check shopping visibility
You: Am I appearing in AI shopping results? Where do competitors show up?Claude shows which stores and products appear in the sampled shopping results. Stores carrying competitor products but not yours become candidates for commercial and distribution review.
4
Explore local signals
You: Are local businesses appearing in AI responses about my topics?Claude returns local businesses mentioned in the selected answers. Check whether any business actually carries your products before deciding on a partnership or listing action.
5
Prioritize with prompt signals
You: Which prompts should I attack first?Claude returns the tool’s attack, defend, monitor, and ignore classifications. Use market openness as one input, then check relevance, answer context, current content, and effort before prioritizing a test.
Prompt classifications and observed gaps prioritize investigation. They do not predict that a specific content change will produce a future mention or citation.