Web servicesPerplexity AI (Aravind Srinivas, CEO)

Decision matrix

Perplexity app decision matrix
Overview

Verdict: the quickest way to get a cited first pass over a topic, and the free plan is enough to start. Treat it as a map of sources, not the answer: open every link before you reuse a claim. Switch off AI Data Usage before you type anything from work.

Other good fits
  • People who will open and read the cited pages, and want every sentence linked to where it came from.
Pros
Read pros

Perplexity is an answer engine: you ask in plain words, it searches the web and writes an answer with numbered citations. It picks among several vendors' models (OpenAI, Google, Anthropic, NVIDIA) for each question, and paid plans let you choose one.

  • Pick it when you want sources first. Every answer cites where each claim comes from, so you can jump straight to the page.
  • Pick it when a question needs many searches. Deep research (Pro and above) runs a longer investigation and returns a report with its sources.
  • Pick it when you need premium data. Pro and Max add sources such as PitchBook, Statista and S&P Capital IQ for market and finance questions.
Cons
Read cons
  • Citations can be wrong in small ways. A link may support part of a sentence, point to an older version, or be a secondary summary. The answer can also drop a study's scope or uncertainty.
  • Pick something else when you need to draft and rework long documents. ChatGPT or Claude are better writing workspaces, and both can search the web on their free plans.
  • Pick something else when the answer should come only from your own files. A notebook tool such as Open Notebook answers from sources you chose.
  • Personal plans train on your queries by default. Only the Enterprise plans promise no training on your data.

Avoid if

  • You'd paste confidential material into a personal account. Queries are used to improve Perplexity's models unless you switch that off; only Enterprise plans guarantee no training.
Workflow

Ask a narrowly framed question -> open each cited primary source -> record the actual author, date and claim -> discard unsupported summaries -> write from the inspected material. No search, upload or account was used for this review.

Cost
Read cost

Prices checked 23 September 2026 (perplexity.ai/pricing, USD):

PlanPriceWhat changes
Free$0Limited daily use, basic models, citations
Pro$20/monthDeep research, model choice, higher limits, premium data sources, Perplexity Computer access
Max$200/monthHighest limits, advanced reasoning models, 10,000 Computer credits/month, several Model Council runs a month
Enterprise Pro$34/seat/month, billed annuallyNo training on your data, SSO, SOC 2 Type II
Enterprise Max$271/seat/month, billed annuallyMax limits plus SCIM, audit logs, retention settings

The developer API is a separate product with its own per-token and per-request prices (for example Sonar at $1 per million tokens plus $5–12 per 1,000 requests).

Running effort is small: an account and a browser. For personal plans, go to Settings → AI Data Usage and switch it off if you don't want your searches used to improve Perplexity's models.

Restrictions

Do not upload sensitive, third-party or regulated material until the applicable account controls and policy terms have been checked. Workspace plans and the developer API are distinct products with separate terms and usage paths.

First project

Documentation-based suggestion — not run here.

Read first project

Lab: "What methods have been published since 2024 for measuring microplastics in soil? List the papers." Company: "Which EU rules on product labelling changed in 2026 for small food producers?"

  1. Ask the question on the free plan. Add "cite primary sources, not news articles".
  2. Open the three most important citations. For each, note the author, date and the sentence that supports the claim.
  3. Strike any claim you can't find in its source, and any source that is only a summary of another source.
  4. Write your own five-line summary from what you read, with the original links.

You're done when every line of your summary points to a page you opened yourself. T02-L01 covers getting good answers from a chatbot; T15-L01 puts this into a research workflow.

Links & evidence
Documentation-based · not hands-on · Sep 23, 2026

Based on Perplexity's pricing page (individual and enterprise tabs, read in a browser because it blocks automated fetchers), its help-center article on data use and its API pricing docs, checked 23 September 2026. We did not run searches or subscribe for this review; the worked example is an illustration.

  • Perplexity pricing · Sep 23, 2026 — Free $0, Pro $20, Max $200 per month; Enterprise Pro $34 and Enterprise Max $271 per seat per month billed annually; plan inclusions.
  • What data does Perplexity collect about me? · Sep 23, 2026 — Search queries are used to improve the models; opt out with the AI Data Usage toggle in Settings.
  • Perplexity API pricing · Sep 23, 2026 — The API is priced separately: Sonar $1/$1 per 1M tokens plus $5-12 per 1,000 requests.
  • Perplexity API documentation · Sep 23, 2026 — The developer API is a separate product from the consumer workspace.
Further review notes & alternatives

Alternatives and trade-offs

  • ChatGPT: the broadest general assistant, with web search on the free plan. Wins when you'll turn the research into a draft in the same place.
  • Claude: strong for reading and summarising long documents you upload. Wins when the sources are already on your desk.
  • Gemini: Google's assistant, which can double-check its answers against Google Search. Wins if your team already works in Google Workspace.

Learn more

Catalogue facts

Ask natural-language questions and receive web answers with clickable citations. Triage literature by requesting linked papers, summaries, or DOI details. Attach files for analysis when your plan provides that capability.

Perplexity AI (Aravind Srinivas, CEO) · free-tier · cloud

  • cited answers
  • live web search
  • literature triage
  • doi lookup
  • source citations
  • natural language query
  • quick citation check
  • model switching
  • search-cite
  • draft-docs
  • talk-think
View sourced image

Perplexity

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Official Perplexity Labs workspace screenshot, Figure 03 in the Labs announcement. It shows the publisher's example research report and generated chart in the shared Perplexity application; the example account displays a Max badge. The example's financial projections were not independently verified.

Perplexity official Labs announcement, Figure 03

Owner-requested editorial use of an official public interface image, 18 September 2026. Copyright remains with the original publisher; attribution preserved. No open licence, current plan entitlement or independent execution is asserted. Source asset: https://cdn.sanity.io/images/aqo64vfr/production/e54b016b92a888f31f211eae8c390bfc9ec3d0f0-3680x2262.png. Complete image/frame converted to PNG without overlays or content changes. Converted on 15 October 2026 to a 1600px-wide WebP (quality 80) for faster page loads; the original image remains in the media library.

Original image source (opens in a new tab)

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