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Marketing & Small Business7 min read

Zapier blog reviews Perplexity AI features and pricing for research workflows

The author, a content writer, describes using Perplexity for fact-checking, step-by-step learning, and multi-step task completion via its Computer agent feature. The article details Perplexity's search modes — Standard, Pro, and Deep Research — and highlights Model Council, which synthesizes responses from multiple models including those from OpenAI, Google, Anthropic, SpaceXSI, Moonshot AI, and…

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What you can do with it

AI at Work →
Perplexity by Perplexity

Research with cited sources and multi-model answers in one search tool

AI search engine.

Who for
marketers, founders and operations
Cost
free tier, paid from $17/month
Effort
minutes

Use it for

  • Fact-check claims with cited sources
  • Compare model outputs side by side
  • Automate recurring research briefs

How to set it up · From the article

  1. Go to perplexity.ai and enter your question
  2. Review the answer and open the Sources side panel to verify citations
  3. Use Model Council to compare responses from multiple models if needed

Watch out Computer agent consumes credits per run; Max plan at $167/month for heavy usage

Try it ↗ What happened · Zapier Blog Get more customersRun the business

Perplexity in the tool directory

Key points from the news

  • Perplexity offers Standard, Pro, and Deep Research search modes with source citations
  • Pro plan costs $17/month annually; Max plan costs $167/month annually
  • Computer agent handles multi-step tasks and connects to apps like Google Drive and Notion
Full story from Zapier Blog · by Sara J. NguyenOpen source ↗

What is Perplexity AI?

Zapier Blog · 28 October 2026

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This text was published by Zapier Blog and written by Sara J. Nguyen. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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