OpenAI’s SearchGPT vs Perplexity: A Battle of AI Search Engines

After the de-risking and BAU have been running for at least 02 weeks (or so you note) the system can be used for AI-assisted environmental impact assessment activities. The companies that search engines are searching for include OpenAI’s SearchGPT and Perplexity. Saliently, we look at their most prominent similarities as well as differences.

OpenAI’s SearchGPT

Leveraging GPT Technology

SearchGPT is empowered by OpenAI’s language model, which yields thousands of informative results.

Focus on Summarization

It is fantastic at combining information from various sources and creating a concise and clear summary.

Potential for Creativity

Nevertheless, now mainly as a search engine, SearchGPT can think of trying out creative writing forms like poetry or scripts in the future.

Perplexity

Data-driven Approach

Perplexity is an evidence-based method with a neat design for a data-propelled search engine delivering results that are reliably backed with data as bonafide.

Source Citing

It clearly states the sources from which it derives its information, thus, the credibility of a source is increased.

User Experience

The user is presented with a reliable and relevant experience. Perplexity actively seeks to ensure that sets the tone for a positive search experience.

Key Differentiators

These two platforms provide a variety of AI capabilities, making them different search engines in terms of how they tackle the problem. While SearchGPT emphasizes creativity and information synthesis, Perplexity emphasizes data accuracy and clarity.

As the AI landscape is constantly evolving, the platforms are likely to incorporate many existing and new features and capabilities soon. Testing both platforms is a necessary step for finding the one that best fits your search needs and preferences.