Perplexity AI

What is Perplexity?

Perplexity is an AI-powered search and research tool founded in 2022 in San Francisco. Unlike ChatGPT and Claude which generate answers from their training data, Perplexity searches the live web for every query, reads the current sources, and synthesises a cited answer — showing you exactly which URLs it pulled from so you can verify or go deeper. It sits in the gap between a Google search (which returns links you still have to read) and a ChatGPT response (which may be outdated or hallucinated). Perplexity reads the sources for you and gives you the answer with the receipts attached.

The product has two main modes: standard search (quick questions with cited answers) and Deep Research (a slower, more thorough mode that reads dozens of sources and produces a structured report). For Indian product managers, the standard mode handles the daily research questions that used to require a Google search + reading 5 articles: "What did the RBI say about BNPL in their latest circular?" "What features did Groww ship in Q4 2025?" "What is the current NPCI cap on UPI transactions per day?" Perplexity answers these in 10 seconds with sources you can verify.

Perplexity has been actively building India-specific features — its index includes strong coverage of Indian news sources, ET, Mint, Inc42, YourStory, and regulatory filings. For Indian startup research, this coverage is meaningfully better than asking ChatGPT with browsing, which tends to return more US-centric sources by default.

Key Features

Best Prompts for Indian Product Research

What new features has [competitor] shipped in the last 90 days? Include product announcements, app store update notes, and any press coverage of new functionality. Focus on their mobile app for Indian users.

What has the RBI said about [topic — BNPL / UPI / KYC / account aggregator] in the last 6 months? Include circulars, press releases, governor speeches, and any enforcement actions. Summarise the key implications for product teams.

What is the current market size and growth rate for [category] in India? Include data from reports published in the last 12 months. Cite the source for each data point so I can verify them.

[Switch to Deep Research mode] Produce a competitor landscape for Indian [category] apps. For each major player: their positioning, key features, pricing if available, recent funding, and what users say about them in app store reviews and social media.

Perplexity vs ChatGPT Browsing vs Google

Best For

• Indian PMs tracking competitor feature launches, funding announcements, and product changes
• Regulatory monitoring — RBI circulars, SEBI notifications, DPDP Act updates
• Market research with verifiable, cited data points for strategy documents
• Deep Research mode for first-draft competitor landscape and market sizing reports
• Any research task where you need to verify sources rather than trust AI-generated facts

Pricing

Pros and Cons

Alternatives

Getting the Most from Perplexity as a PM

1. Replace your Google + read-5-articles habit with Perplexity for research questions — The default PM research workflow — Google a topic, open 5 tabs, skim each article, synthesise mentally — takes 20-30 minutes per research question. Perplexity replaces this with a 30-second cited answer for most questions. Make it your first stop for any factual research question that requires current information: "What is Zepto's current valuation?" "What did the RBI say about recurring payments in their last circular?" "What features does Fi Money offer that Niyo does not?" The answer arrives with sources you can verify in seconds if needed.
2. Set up a Competitor Monitoring Space and check it weekly — Create a Perplexity Space named after your competitive landscape. Every Monday, ask the same set of questions for your top 3-5 competitors: "What has [competitor] shipped or announced in the last 7 days?" The Space remembers previous context, so over weeks it builds a running record of your competitive landscape. Export the key findings to a Notion page monthly. This turns competitive intelligence from an ad-hoc activity into a 15-minute weekly ritual with a compounding knowledge base.
3. Use Deep Research for quarterly strategic documents, not daily questions — Deep Research (2-5 minute multi-source mode) is expensive in time — reserve it for documents that justify the depth. Good use cases: quarterly competitor landscape for your board deck, market sizing for a new segment you are evaluating, regulatory overview before building a regulated feature, technology landscape for an API category you are evaluating vendors in. For daily questions, standard Perplexity is faster and sufficient. Deep Research for a monthly market intelligence report produces a first draft in 5 minutes that would otherwise take a day.
4. Combine Perplexity + Claude as your research-then-write workflow — The highest-leverage AI workflow for Indian PMs doing research-heavy writing: use Perplexity to gather current data and citations (10 minutes), then paste those findings into Claude with a writing instruction ("Using these research findings, write a 2-page market analysis section for our Series A deck"). Perplexity supplies current, sourced facts; Claude produces polished, well-reasoned prose. Neither tool alone does both well — together they produce research documents faster and with higher quality than either alone.
5. Always verify high-stakes facts before including them in formal documents — Perplexity's citations are transparent but not infallible — sources can be outdated, misrepresented, or wrong. For any claim that will appear in a board deck, investor document, regulatory filing, or press release, click through to the original source and verify the exact wording and date. This 30-second verification step is worth taking for high-stakes uses. Perplexity is excellent for reducing the research time to find a fact; the final verification is always your responsibility.