
Table of Contents
Perplexity Could be Threat to Google Search?
Perplexity AI is a Type of intelligent Search engine that uses large
language models of other companies like OpenAI (ChatGPT), Google (Gemini),
Deepseek.
The Perplexity doesn’t have its LLM (Large Language Model) Like
Other Giant companies like OpenAI (ChatGPT), Google (Gemini) and Deepseek.
Arvind Srinivas, Andy Konwinski, Denis Yarats, and Johnny Ho 2022 Founded the
Perplexity.
Key Features and Use Cases:
- AI-Powered Search: Perplexity AI merges the power of a search engine with generative AI technology to deliver real-time answers. It employs advanced natural language processing to interpret queries and generate personalized responses, often providing detailed summaries along with citations.
- Up-to-date Knowledge: Perplexity AI provides the latest information on any topic, accompanied by source links.
- Research & Information Gathering: This tool is useful for deep-diving into various subjects, allowing users to ask follow-up questions and explore topics in greater depth.
- SEO Content Creation, Factual Writing, and Book Summarization: It can assist in SEO-based content writing, factual research, and book summaries, generating text based on sourced content. The “Pages” feature enables users to create in-depth, high-quality articles on any subject.
- Organization: Perplexity AI allows users to create collections to store and organize their queries, making it a helpful tool for project management and topic exploration.
- Fact-Checking and Source Verification: It provides citations and references for its information, enabling users to verify sources and further investigate topics.
- Flexible Content: Users can customize responses, such as adjusting recipes for different portion sizes.
- Competitive SWOT Analysis: Perplexity AI assists in researching and analyzing companies and their products.
- Speed and Efficiency: The platform compiles information quickly, completing tasks in minutes that might otherwise take hours.
- Deep Dives Into Topics: The Pro Search feature offers a guided AI search experience, helping users explore subjects thoroughly and continuously learn new things.
Potential challenge of perplexity Ai
- Since does not have it’s own LLM, it depends on external AI models , which might impact scalability and cost.
- It faces of competition from established search engines like Google and Bing, which are also integration AI-based search
- Monetization remains a challenge since it does not traditional ad-based revenue models
- Dependence of external LLMs
- Since per flex list I does not have its own large language model LM its release on external provider like open ya Google and deep sick
- if does companies limit a restrict access to their models perplexity may face of national difficults
- Competition of Ti ingrated search engine
- Take light like Google and Microsoft paying are actively improving their integrate such experience
- Microsoft has already ingregated into being and Google is it a I powered search result posing a strong Challenger of perplexity
- Monetization challenges
- Google and be in generate a new through at advertisement but publicity does not have a well established monetization model yet
- It remains free probity may be become a Challenger if it shifts to a paid model user adoption could slow down

Arvind Srinivas
- The Founder of Perplexity AI (Web Search Of the New Era)
- Uses advanced AI to understand queries and determine user intent.
- Searches the web, gathering information from reputable sources like articles, websites, and journals.
- Reviews and compiles the most relevant insights into a well-structured, easy-to-understand response.
- Provides citations and references for verification and further research.
Advantages Over Traditional Search Engines:
- Offers direct answers with citations, reducing the need to sift through multiple links.
- This allows there Users to select different language models (such as GPT-4, Claude 3, and Gemini) for varied responses.
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