ChatGPT launched with a 1,631 interest score. Perplexity Deep Research pulled 782. Raw numbers are a start, but engagement ratio and category positioning tell you more. Both are below.
Side-by-side comparison of ChatGPT and Perplexity Deep Research based on community engagement data.
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ChatGPT launched with a 1,631 interest score. Perplexity Deep Research pulled 782. Raw numbers are a start, but engagement ratio and category positioning tell you more. Both are below.
| Category | ChatGPT | Perplexity Deep Research |
|---|---|---|
| Artificial Intelligence | Yes | Yes |
| Bots | Yes | Yes |
| Messaging | Yes | - |
| Search | - | Yes |
It's really mind blowing! I registered in the evening to "watch a little", but was stunned, literally stuck to the screen and went to bed already in the morning. In addition to admiration for the possibilities of technology, there are some fears also: this thing can write scripts, instructions, tech...
This is incredible, creating copies or any other type of content is super fast. Definitively a useful tool for marketers, social media and for creating app descriptions.
ChatGPT took 5 days to garner 1M subscribers! What an amazing product!
Tired of spending hours digging through sources? Perplexity Deep Research automates in-depth research, performing dozens of searches, analyzing hundreds of sources, and generating expert-level reports in just minutes. Whether you're into finance, marketing, tech, or just need a deep dive into any to...
Deep Research function and reasoning algorithms is cool & intuitive
The product is great, but it takes time to correct the data.
ChatGPT leads on raw interest score. ChatGPT leads on engagement ratio. ChatGPT leads on both metrics. That doesn't happen often.
These products share 2 categories: Artificial Intelligence, Bots. Moderate overlap suggests they target related but distinct use cases.
ChatGPT is also tagged in Messaging, which Perplexity Deep Research isn't. That suggests ChatGPT positions itself more broadly or targets an adjacent audience.
Perplexity Deep Research has unique category tags in Search. Different positioning can mean a different buyer profile, even within the same space.
ChatGPT launched Dec 2022. Perplexity Deep Research launched Feb 2025. ChatGPT has had more time to iterate and build a user base. Perplexity Deep Research had the advantage of launching into a more defined market with clearer user expectations.
ChatGPT has a 0.07 engagement ratio (below average), based on 108 discussion threads across 1,631 interest points. Low engagement relative to interest means the launch attracted clicks but not conversation. Could indicate the product appealed to a broad audience without hooking anyone deeply.
Perplexity Deep Research has a 0.05 engagement ratio (low), based on 37 discussions across 782 interest points. The low ratio suggests a launch that got attention but didn't convert that attention into sustained interest.
Within the Artificial Intelligence category (11,606 total products), ChatGPT ranks #8 and Perplexity Deep Research ranks #141 by interest score. ChatGPT sits in the top 10 for the category.
ChatGPT is in the top 0% of Artificial Intelligence by interest. Perplexity Deep Research is in the top 1%.
Pick ChatGPT if you want the product with the larger community behind it; sustained discussion and active users are your priority; you value stability and a longer track record; you need something that also covers Messaging.
Pick Perplexity Deep Research if community size matters less to you than engagement depth; you prefer newer tools with fresher tech; you need something that also covers Search.
ChatGPT: OpenAI has released a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
Perplexity Deep Research: Perplexity Deep Research saves you hours by conducting in-depth research and analysis on your behalf. It performs dozens of searches, reads hundreds of sources, and delivers expert-level reports in minutes. Free for all, with unlimited access for Pro users.
These products also compete in the Artificial Intelligence, Bots categories:
Sivi AI — Generative AI to magically turn text to visual designs (Interest: 937, Engagement: 0.30)
Naoma — Find your sales stars’ patterns and scale them (Interest: 766, Engagement: 0.26)
Trae — Adaptive AI IDE that helps you ship faster (Interest: 729, Engagement: 0.18)
CoPilot.Live — Your personalised AI assistant (Interest: 408, Engagement: 0.49)
Assistant by Mintlify — A conversational, agentic assistant built into your docs (Interest: 388, Engagement: 0.10)
Claude Haiku 4.5 — The fastest, most affordable coding model (Interest: 378, Engagement: 0.02)
Either the product didn't meet our engagement threshold, or it doesn't share enough category tags with the other product to generate a meaningful comparison. We'd rather show no comparison than a misleading one.
Each product's data reflects its launch period. The comparison shows both products' engagement metrics from when they launched. The build date at the bottom of the page shows when the index was last refreshed.
Not yet. Current comparisons use launch-period data only. Post-launch tracking is on our roadmap.
Generally, yes. Engagement ratio is hard to fake. A product can generate artificial interest, but sustained discussion threads require people who actually used the product and had something to say about it.
Automatically. We compare products that share at least one category and have similar interest scores. Products too far apart in traction don't make for useful comparisons.
No. Interest is launch-day attention. Engagement ratio is a better quality signal. The product with more discussions per interest point usually has stronger product-market fit.