The Following is the conclusion of a Deep Research Prompt to Perplexity:
The greatest determination of good search data emerges from the synergy between platform capabilities and prompt engineering excellence. While platform architecture provides the foundation—determining data access, model capabilities, and retrieval mechanisms—the quality of user prompts ultimately determines how effectively these capabilities are leveraged.
For optimal results, users should select platforms based on their specific use cases and invest time in developing effective prompting techniques. The most sophisticated platform will underperform with poor prompts, while even basic platforms can deliver impressive results when users provide clear, detailed, and well-structured queries. Success in AI search requires understanding both the strengths of your chosen platform and the art of communicating effectively with AI systems through thoughtful prompt engineering.
Also, according to Perplexity :
In summary, when you use Perplexity, you are benefiting from a hybrid AI platform that combines its own models with the option to leverage top-tier external models like ChatGPT (GPT-4) and Claude, all orchestrated to provide accurate, up-to-date, and well-cited answers.
I have found that multiple platforms like ChatGPT Gemini and Perplexity can all be used to some degree with different intentions to get great searches. ChatGPT and Gemini, have a number of models and the use of deep research. Perplexity has its Regular model, Deep Research and Labs.
Not to be overlooked is the importance of the prompt which depending how it's used, can return night and day results.
I have also found across the different AI platforms that if you tell the AI what you want and ask it to create custom prompts to achieve the results, you can get great searches.
