Source Quality Through Specificity
Broad prompts return broad sources — Wikipedia, general blogs, surface-level articles. High-scoring prompts surface primary sources, research papers, and authoritative domain content.
Perplexity is a research tool — the quality of what it finds depends entirely on the quality of what you ask. Promptuner scores search-oriented prompts for precision and citation depth in real-time inside perplexity.ai.
“best practices for React”
“Search for React performance best practices published in 2024–2025. List the top 3 techniques with: source URL, the specific technique, and a measurable performance impact. Prioritize official React docs and benchmarked case studies.”
Type directly inside your AI tool — Promptuner activates automatically.
A quality score from 1–10 appears in real-time as you type, no clicks needed.
Hit the Enhance button. Promptuner rewrites your prompt and the score jumps.
Broad prompts return broad sources — Wikipedia, general blogs, surface-level articles. High-scoring prompts surface primary sources, research papers, and authoritative domain content.
For literature review, prompts need to specify domain, recency, and source type. Promptuner scores these dimensions and flags the gaps before you run your search.
Perplexity works best as a chain of narrowing questions. Promptuner restructures compound queries into focused, sequential prompts that converge on exactly what you need.
Free Chrome Extension
Install once. Works inside perplexity.ai automatically — no copy-pasting, no tab switching.
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