How Deep Is Deep Research

A brief surface overview of deep AI tools

I have a PhD-level analysis in my pocket and yet I can’t figure out how to make the most of it...

A quick summary: Deep research is basically a super charged AI model that when prompted on a topic will go through a process of collecting and sourcing complex and deep data on the subject matter resulting in a comprehensive report that you can proclaim is the result of your profound knowledge and discovery on the topic.

And today the landscape of deep research tools has expanded with Perplexity AI's release of its Deep Research Alpha, to accompany OpenAI's ChatGPT Deep Research and Google's Gemini 1.5 Pro.

I used it to give us an overview:


Functional Comparison Matrix

ChatGPT Deep Research

Gemini 1.5 Pro Deep Research

Perplexity Deep Research Alpha

Processing Speed

5-30 minutes

15-45 minutes

10-25 minutes

Source Evaluation

Automated scoring

Manual adjustment

Multi-iteration verification

Export Formats

CSV, JSON

Google Docs

PDF, Markdown

Maximum Input Size

50MB files

10M token context

25MB files

Compliance Certifications

SOC2 Type 2

ISO 27001

GDPR compliant

Pricing Model

$200/month (100Q)

$20/month (50Q)

Free (10Q) + $20/mo Unlimited


How do I make the most of it?

It is impressive, but I find myself using deep research then having the urge to ask for a summary:

I have looked for some practical applications for inspiration and this one stood out:

Along with this:

The implications and practical applications are endless. If only there was a pause button so that I could explore it fully before the next profound tool is released…