This overview is an element of a bigger collection of LinkedIn newsletters titled AI in Market Research: Reviews of AI tools, platforms, and solutions that market researchers should use today.

Not too long ago a brand new class of AI performance has emerged throughout a number of platforms—Deep Analysis—designed particularly to transcend primary chatbot interactions and assist extra structured, multi-step analysis duties, in addition to report technology. These instruments intention to duplicate the work of a junior analyst, offering not simply solutions however the potential to clarify how these solutions have been fashioned, which sources have been used, and the place gaps stay. 

Platforms like ChatGPT’s Deep Analysis mode and Google’s Gemini Deep Analysis mode are on the forefront, combining conventional Q&A capabilities with an built-in Canvas characteristic that helps customers arrange, refine, and iterate on their findings. Finally, fashions like Deep Analysis present extra of a collaborative expertise on the subject of researching by way of ChatGPT or Gemini—able to producing extra clear, traceable, and decision-ready outputs.

For market researchers, these platforms can speed up desk analysis and generate moderately credible overviews of aggressive or thematic landscapes. But, every strategy, ChatGPTs and Gemini’s, differs in a couple of basic methods.

ChatGPT’s Deep Analysis (OpenAI)

Chat GPT’s Deep Analysis is barely accessible by means of the $20/month ChatGPT Plus tier and limits customers to 10 deep analysis stories per thirty days. It does present a Canvas mode, which permits researchers to shortly work together with a closing report. You can even add PDFs, to complement the information that ChatGPT is leveraging when it develops a report.

That mentioned, the 10-report restrict makes it difficult to make use of ChatGPT’s Deep Analysis mode at scale—significantly for market analysis groups the place a number of analysts are conducting secondary analysis throughout a number of shopper tasks. In bigger environments—whether or not it’s an in-house insights crew supporting a number of enterprise items or a consulting agency juggling a number of accounts—the demand for quick-turn desk analysis can simply translate into dozens of queries per week. In that context, ChatGPT’s Deep Analysis is healthier fitted to focused, particular person use circumstances the place a single report or very restricted variety of stories are wanted, relatively than as a alternative for the collective output of a full analysis crew.

Moreover, whereas the outputs are sometimes top quality, the device gives restricted transparency into how sources are chosen or how conclusions are drawn. This will make it more durable to validate findings or assess credibility—significantly in additional rigorous or client-facing analysis situations the place traceability issues.

Gemini’s Deep Analysis

Gemini’s Deep Analysis mode, however, has just lately undergone vital upgrades—and it’s beginning to present actual promise as a device for changing extra conventional types of secondary analysis. With Gemini Superior (additionally $20/month), customers can generate a vast variety of analysis stories, making it well-suited for situations like coming on top of things earlier than a brand new shopper assembly, constructing foundational data on an unfamiliar subject, or shortly scanning a aggressive panorama. It might function a primary go for analysts who want to assemble credible sources to assist some early considering round a subject. Even the free model of Gemini consists of 10 stories per thirty days, which provides flexibility for infrequent use or for testing the characteristic earlier than scaling.

Certainly one of Gemini’s standout options is its potential to point out its reasoning in a extra clear, structured manner than ChatGPT. It clearly outlines which sources have been thought-about, which have been used within the closing output, and which have been finally excluded—offering a useful audit path that makes it simpler to evaluate the credibility and reliability of the response. This degree of transparency is particularly worthwhile in analysis settings the place understanding the “why” behind a advice or abstract is simply as necessary because the output itself.

Gemini’s updates have made it way more aggressive with ChatGPT: higher at displaying its reasoning, outlining what sources have been examined (and notably, what wasn’t), and providing extra transparency into how the output was generated. Like ChatGPT, it additionally integrates with Canvas for mapping out concepts and analysis paths. Nonetheless, not like ChatGPT, Gemini doesn’t at the moment assist file uploads—so gained’t be capable to simply incorporate an current dataset—exterior of pasting it into the chat window.

Rankings

Usability:

  • ChatGPT: 4 stars. The expertise is polished and dependable, however the 10-query cap is kind of limiting.
  • Gemini: 4.5 stars. The up to date interface and limitless analysis functionality make Gemini a pacesetter at this level.

Energy:

  • ChatGPT: 4 stars. Sturdy output enhanced by potential to add PDFs, however restricted search quantity and transparency into how sources are chosen.
  • Gemini: 4.5 stars. Richer rationalization of reasoning, clearer sourcing, and limitless use make it really feel extra like a analysis associate.

Flexibility:

  • ChatGPT: 4.5 stars. The flexibility to add PDFs permits customers to reference and incorporate inside or exterior paperwork instantly into the analysis course of.
  • Gemini: 4 stars. No file add, however higher transparency offsets that for a lot of analysis situations.

Price:

  • ChatGPT: 4 stars. $20/month for under 10 queries feels restrictive.
  • Gemini: 5 stars. The free model consists of 10 stories/month, and the Superior model’s limitless utilization is right for frequent customers.

In Sum:

Each ChatGPT and Gemini provide compelling Deep Analysis instruments, and the strains between their present capabilities will undoubtedly change. 

But, for market analysis groups juggling a number of purchasers and tight timelines, a vast device like Gemini’s Deep Analysis can act as an always-on analysis assistant—serving to consultants prep for shopper conferences, draft govt briefings, validate key developments, or construct among the items of a foundational layer for a bigger insights mission. It’s not a full alternative for human experience, but it surely’s more and more able to dealing with a proportion of secondary analysis duties—and that’s an attention-grabbing improvement.


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