The Future of Secondary Research: Combining AI and Search Engines for In-depth Industry Analysis
Nikhill Gadkar
"Attention" Commodity Dealer | Helping brands win the customer relationship moments with AI
Using ChatGPT and search engines like Google together leverages the strengths of both tools, providing a more comprehensive and accurate competitor analysis. Here's why:
1. Historical Knowledge: ChatGPT provides valuable historical context, industry trends, and general concepts based on its training data. Instead of spending hours reading multiple articles to understand the industry. Use ChatGPT to understand the industry structure and help optimize the research strategy.
Example: ChatGPT could provide information on the early development of the EV industry, the involvement of companies like Tesla, Nissan, and Chevrolet, the evolution of battery technology and suggest methods to extract relevant information.
2. Real-Time Data: Google offers up-to-the-minute information, allowing you to understand the current state and recent developments in the industry. Google can handle highly specific queries, while ChatGPT can help refine/create these queries and suggest additional lines of inquiry.
Example: Google could provide news about the latest EV models launched, new entrants like Apple or Amazon, recent legislation impacting the industry, or suggest queries such as, breakthroughs in charging technology, which are crucial to the growth of EVs.
4. Deep Analysis: ChatGPT can offer analysis and explanation of complex information that you obtain from search engine results.
Example: ChatGPT could help explain the significance of specific battery technologies, like solid-state batteries, or regulatory changes impacting the EV industry
5. Interactive Conversation: With ChatGPT, you can ask follow-up questions, seek clarifications, or delve deeper into a topic, facilitating a dynamic learning process.
Example: ChatGPT could engage in a detailed conversation about the pros and cons of hydrogen fuel cells versus lithium-ion batteries for electric vehicles.
6. Filling Information Gaps: Where search engine data might be sparse or ambiguous, ChatGPT can provide related insights based on its extensive training data.
Example: If there's limited information on how grid infrastructure needs to adapt to support widespread EV adoption, ChatGPT might be able to provide related insights based on its training data.
7. Data Interpretation: ChatGPT can help interpret and make sense of the vast amount of information available online, making the research process more manageable and efficient.
Example: ChatGPT can simplify complex technical data making it easy to ingest and use.
In summary, the combination of ChatGPT and Google offers a blend of historical context, real-time data, deep analysis, and interactive exploration, making it a powerful tool for industry analysis.