How to use ChatGPT Deep Research in Marketing
Jan Tissler
CONTENTMEISTER ? – AI Content Strategy, AI Content Creation, Generative AI Workshops and Trainings, German Content, Translation and Transcreation.
Deep Research is one of those offerings that you have to try for yourself to really understand what it is all about. At least, that’s how it was for me.
Right after my first experiment with it, I was amazed and thought: This could change my work almost as much as ChatGPT itself has already done.
This time it’s not about writing or tasks around planning and publishing content. This time it’s about the research phase itself.
In this post, I’ll show you what deep research is, how it works, how you can use it, what its shortcomings are, and what alternatives are available.
I write this from my perspective as a trained journalist, experienced online publisher, and seasoned content marketer.
FACTS AND FIGURES
400 Million
Number of weekly ChatGPT users. Read more …
SPOTLIGHT
OpenAI launches GPT-4.5 model
OpenAI has officially launched GPT-4.5, its newest and largest AI language model to date. The model, previously known internally as “Orion,” is being released as a research preview with claims of enhanced conversational abilities, reduced hallucination rates, and improved emotional intelligence compared to previous models. While OpenAI positions GPT-4.5 as its “largest and best model for chat yet,” the company acknowledges that it is not a frontier model and falls short of its reasoning models on certain benchmarks.
Claude 3.7 Sonnet has customizable reasoning capabilities
Anthropic has introduced Claude 3.7 Sonnet, positioning it as the first hybrid AI reasoning model that combines quick responses with extended thinking capabilities. The model allows users to choose between immediate answers and more thorough analysis, with API users having precise control over the model’s thinking time up to 128,000 tokens.
AI reasoning capabilities show both impressive strengths and surprising limitations
Recent developments in AI reasoning capabilities reveal a complex picture of artificial intelligence that excels at certain complex tasks while failing at seemingly simple problems, according to an analysis by Sigal Samuel published in Vox. The article examines claims by leading AI companies about their models’ ability to perform genuine reasoning.
OTHER NOTABLE NEWS
????Vom Arbeitswissenschaftler zum Wissenschaftskommunikator: Gemeinsam für eine sichtbarere Forschungswelt
2 天前Sounds like a very insightful report. Can’t wait to dive into the details. ??
Director of Market Research | Market Analysis, Data Mining, Customer Insights | I Help MIG Maximize ROI with Advanced Market Intelligence
2 天前Jan Tissler, exciting developments in AI! How do you see these tools reshaping marketing strategies this year? #Innovation