Citation-First Search Engine

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Citation-First Search Engine

Inspired by a conversation on:

No Priors: Artificial Intelligence | Technology | Startups

No Priors: Artificial Intelligence | Technology | Startups

How do we go from search engines to answer engines? With Perplexity AI’s Aravind Srinivas and Denis Yarats

Host: Sarah Goa and Alad Gil

Timestamp: 00:00:06 - 00:00:23

Listen to Episode • View Podcast • All Ideas from No Priors: Artificial Intelligence | Technology | Startups

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Feather Flow

Direct Quote

"For factual accuracy, our first step towards that was making sure you can only say stuff that you can cite."

Market Gap

Inaccurate search results lead to misinformation.

The proliferation of information online has led to a significant issue of misinformation, with users often unable to discern credible sources from unreliable ones. This problem affects everyone from casual users to professionals who rely on accurate data. Current search engines often provide results without context or verification, leading to confusion and mistrust. The challenge is to create a system that prioritizes factual accuracy and provides citations for the information presented. Without a mechanism for verifying sources, users are left to navigate a minefield of potentially misleading content, which can have serious implications for decision-making and trust in information sources.

Summary

The concept of a citation-first search engine addresses the growing need for reliable information in an era saturated with misinformation. By ensuring that every result is backed by a verifiable source, this search engine would aim to enhance user trust and satisfaction. Implementation could involve developing a platform that aggregates data from credible sources, applying machine learning to filter and present this information in a user-friendly manner. The target audience includes researchers, professionals, and everyday users seeking trustworthy answers. Similar to how Perplexity AI operates, this platform would focus on providing concise answers with citations, encouraging users to engage with high-quality content.

Categorization

Business Model
SaaS
Target Founder
Technical
Difficulty
Medium
Time to Revenue
< 1 month
Initial Investment
$1,000-$10,000

Potential MRR (18-24 months)

Conservative
$5,000 - $10,000 MRR
Moderate (Most Likely)
$10,000 - $30,000 MRR
Optimistic
$30,000 - $50,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
8/10
Novelty
7/10
Feasibility
6/10
Market Potential
8/10
Evidence
7/10
Overall
7.2/10
Found on September 17, 2025 • Analyzed on September 17, 2025 12:10 AM

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