I have been raving about Google’s Deep Research for months now. For a $20 per month subscription, It can produce a fully cited, comprehensive, industry paper within minutes from a single sentence prompt. SO impressive! So when OpenAI claimed to release something bigger and better with a whopping $200 per month price tag – I had to test it for myself.

In a head-to-head comparison, I tested OpenAI’s Deep Research and Google’s Deep Research – on their ability to produce an industry paper on content marketing strategies. Here’s what I discovered about these powerhouse tools and what you need to know before coughing up $200 bucks for OpenAI’s solution.

The Test Setup

I challenged both platforms with an identical prompt examining hybrid human-AI content creation workflows, focusing on performance metrics, best practices, and audience impact. You can read the final output from both platforms here:

Google’s Deep Research Paper

OpenAI’s Deep Research Paper

Key Differences in Approach

The biggest difference between these tools is the cost. OpenAI’s Deep Research tool costs 10X what Google’s tool will cost you – so the BIG question is…is it worth it? The short answer, from my perspective, is that it’s NOT worth it for content marketers with a few exceptions. There are other professions where investing $200 monthly for a PhD level research assistant makes sense but for most brands, the level of detail and depth Google provides is good enough and sometimes even preferable.

Another different worth mentioning, is that Google’s Deep Research tool outputs the report in a Google Document, making it very easy to copy and paste into a Word doc or simple distribute as a Google Doc. OpenAI on the other hand, has difficulty outputting the final report into a document and it took me several tries to get a clean version to copy and paste. Companies, like Google, that can integrate their AI tools with other document, presentation, and email applications will absolutely WIN these battles down the road. This is one major weakness of OpenAI and why the company needs Microsoft as much as Microsoft needs them.

Read on for more details on this head-to-head battle and feel free to reach out on LinkedIn and let me know your thoughts on this match up for marketers.

OpenAI Deep Research

• Required premium subscription ($200/month)
• Asked clarifying questions before proceeding
• Took 8 minutes to generate response
• Analyzed 30 sources
• Produced comprehensive 13,000+ word analysis
• Included extensive citations and source links
• Organized information hierarchically with clear sections

Google Deep Research

• More accessible pricing at $20 monthly
• Started immediately without clarification
• Produced shorter, more concise analysis
• Focused on high-level insights
• Less granular source attribution

Quality Comparison

OpenAI’s Strengths

• PhD-level depth of analysis
• Extensive empirical data inclusion
• Precise statistics and metrics
• Thorough exploration of nuanced topics
• Strong synthesis of multiple viewpoints
• Clear methodology exposition

Google’s Strengths

• More approachable writing style
• Faster turnaround
• Good for quick strategic insights
• Effective summarization
• Undergraduate-level comprehension

Winner by Category

Depth of Research: OpenAI Deep Research ⭐

• Superior source integration
• More comprehensive analysis
• Better handling of complex topics

Usability: Google Deep Research ⭐

• More straightforward interface
• No clarifying questions needed
• Faster results

Cost-Effectiveness: Google Deep Research ⭐

• More accessible pricing
• Good value for basic research needs

Citation Quality: OpenAI Deep Research ⭐

• More thorough attribution
• Direct quote linking
• Better source verification

The Verdict: Content marketers probably don’t need OpenAI’s Deep Research tool with a few exceptions

Choose OpenAI Deep Research when you need:

• In-depth strategy analysis
• Academic-level research
• Comprehensive data support
• Detailed implementation guidance

Choose Google Deep Research when you need:

• Quick strategic insights
• Basic research synthesis
• Cost-effective solution
• Faster turnaround

My Final Recommendation

If budget isn’t an issue, then having access to BOTH of these tools is the best option. Creating your own team of AI superheroes is the way to go these days and why not have BOTH of these power houses on your team?

However for content marketing teams where budget is limited, the choice depends on your research needs, target audience, and objective. If you’re developing comprehensive content strategies or need deep insights for high-stakes audiences (like your CMO), OpenAI’s Deep Research justifies its premium price. For teams needing quick, reliable research for day-to-day content creation, Google’s research offering is all you need and provides excellent value.

Remember: Both tools are assistants, not replacements for human expertise. The best results come from using these tools to augment your team’s capabilities while maintaining human oversight on strategy and creativity. AI brings the knowledge and (hopefully) we bring the wisdom.