Cited web search versus research in your own apps.
Web citations, or your own files?
Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, researches inside your own apps. ChatGPT Desktop beats Jarvis on three of our eight rubric dimensions: platform breadth, maturity and ecosystem, and voice. Perplexity is better for open-ended web research with traceable citations. Jarvis reads what is on screen and pulls context from Gmail, Slack, Notion, Linear, GitHub, and Google Drive — sources the open web cannot see. So the answer depends on what 'research' means. Investigating a topic on the open web? Perplexity. Synthesizing across your inbox, docs and tickets, or understanding what's on your screen? Jarvis. Jarvis can web-search via its model for light lookups but won't deliver Perplexity's citation rigor. Many researchers use both. Jarvis runs from $16/month after a free plan (40 requests/week); Perplexity has a free tier, Pro at $20/month and Max at $200/month.
Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, researches inside your own apps. ChatGPT Desktop beats Jarvis on three of our eight rubric dimensions: platform breadth, maturity and ecosystem, and voice. Perplexity is better for open-ended web research with traceable citations. Jarvis reads what is on screen and pulls context from Gmail, Slack, Notion, Linear, GitHub, and Google Drive — sources the open web cannot see. So the answer depends on what 'research' means. Investigating a topic on the open web? Perplexity. Synthesizing across your inbox, docs and tickets, or understanding what's on your screen? Jarvis. Jarvis can web-search via its model for light lookups but won't deliver Perplexity's citation rigor. Many researchers use both. Jarvis runs from $16/month after a free plan (40 requests/week); Perplexity has a free tier, Pro at $20/month and Max at $200/month.
When research means gathering and comparing information from across the public web, Perplexity is purpose-built and the stronger tool. It returns synthesized answers with numbered, clickable sources so you can verify each claim, and it's tuned for follow-up questions and deep dives. Jarvis can answer factual questions through its underlying models, frontier models from Anthropic, OpenAI, or Google, but it doesn't provide Perplexity-grade citation trails or source-ranking. If your output is a literature scan, a market comparison or a fact-checked brief from the open internet, Perplexity is the honest recommendation, and Jarvis isn't trying to win that category.
A lot of real research isn't about the open web, it's about your own material: what did the contract say, what did we decide in Slack, what's the status across these Linear tickets, what's in this Drive folder. Here Jarvis is better because it reads your current screen and connects to 30+ apps, so it can synthesize across Gmail, Notion, GitHub, Google Docs and more, with persistent memory of prior context. Perplexity reaches your private workspace only through its Pro and Max connectors, and your screen only through its Mac-only Personal Computer. So 'better for research' flips entirely depending on whether the sources are public or yours.
Comparisons