MAJOR Threat To Google Search (SearchGPT vs. Perplexity vs. Google Search)

Is AI Search Legit? Testing Search GPT, Perplexity, and Google

Introduction to the Comparison

• The video explores whether AI search tools like Search GPT and Perplexity can compete with Google's search monopoly.

• The host solicits input from followers on X for specific searches to test against Google.

Overview of Search GPT

• Search GPT provides a simple interface that returns images alongside search results, regardless of relevance.

• It generates AI content but may produce inaccuracies or "hallucinations," presenting false information confidently.

• Users can provide feedback through thumbs up/down options and access citations for the information presented.

Features of Perplexity

• Perplexity is described as a more feature-rich alternative to Search GPT, utilizing OpenAI models.

• It offers an enhanced user interface with built-in images, related searches, and the ability to attach text or PDFs.

Google’s Performance in Searches

• For certain queries like "Olympics results," Google excels by providing direct answers rather than multiple links.

• The host notes that Google's structured data presentation gives it an edge when delivering concise information.

Testing Specific Queries

Query: How to Get Your IP Address Using Linux Command

• A user-suggested query tests how well each tool handles recent commands in Linux without excessive links.

• In testing Search GPT, the response includes unnecessary images but provides a command example ("IP Command").

Evaluation of Results

• The accuracy of responses is questioned; while both tools provided similar commands, there were discrepancies in details (e.g., missing "show" in Search GPT).

How to Get Your IP Address Using the New IP Command in Linux

Testing Google Search with AI Integration

• The speaker tests Google's ability to find their IP address using the new IP command in Linux, noting that they have AI search features enabled.

• The first result suggests using ifconfig, which is outdated, while ip addr is identified as the newer command. This highlights the need for up-to-date information in searches.

• The speaker mentions that AI search tools like Perplexity and Search GPT provide direct answers without needing to sift through multiple links, indicating a potential advantage over traditional search methods.

Evaluating Coding Questions with AI

• A coding question about Python module errors is posed, expecting ChatGPT and Search GPT to provide effective solutions.

• While both tools offer helpful responses, they still include unnecessary links instead of directly providing code snippets needed for troubleshooting.

• The speaker compares results from ChatGPT and Perplexity, finding them similar but notes that generative AI can answer questions more fluidly than traditional queries.

Generative AI vs. Traditional Searches

• The speaker emphasizes the ease of asking questions in generative AI rather than formulating specific queries for traditional search engines.

• They express skepticism about Google’s ability to provide concise answers compared to generative AI's straightforward responses.

• A comparison reveals that Google's response lacks actionable code examples, making it less useful for immediate problem-solving.

Recency of Information: Finding Recent Videos

• The speaker tests how well different platforms can find recent videos by searching for a newly released robot video from Unry.

• Initial attempts with Search GPT yield incorrect or outdated results regarding video publication dates.

• In contrast, Google successfully retrieves the correct video published just hours earlier, demonstrating its strength in recency-based searches.

Business Use Case: Venue Capacity Search

• A business-related query seeks venues in Melbourne capable of hosting 1,500 delegates; expectations are set for better performance from AI searches due to specificity requirements.

• Results from Search GPT present a list format but lack detailed cross-referencing necessary for accurate venue capacity verification.

Search Engine Comparisons and Results

Evaluating Search Engines: Google vs. Perplexity

• The speaker expresses dissatisfaction with Google's search results, indicating that they are not meeting expectations for specific queries.

• A question about the main presenters at the upcoming Dreamforce conference is posed, highlighting the need for both names and reasons for their selection.

• Initial findings from Search GPT provide a list of presenters but lack detailed reasoning behind their selection, prompting a cross-reference with Perplexity.

• The speaker struggles to find accurate information on the official website regarding the speakers, illustrating challenges in navigating search results.

• After further searching, discrepancies are noted between AI-generated responses and actual presenter lists, revealing potential inaccuracies in Search GPT.

Analyzing Local Searches

• Another query focuses on identifying top movie theaters in the speaker's neighborhood along with reasons for their quality.

• Search GPT reportedly provides excellent local theater recommendations with justifications, while Perplexity fails to deliver relevant results due to location assumptions.

• Google’s response is criticized as outdated and unhelpful, reinforcing the notion that traditional search methods may be less effective than AI-driven searches.

Censorship and Bias in Search Results

• The discussion shifts to concerns about censorship related to political topics, specifically an assassination attempt on Donald Trump.

• Search GPT yields informative results regarding the incident without bias or excessive detail requiring further clicks.

• Perplexity also provides a satisfactory summary of events surrounding the assassination attempt; however, Google’s results are deemed less user-friendly.

Health Queries: Collagen and Creatine Dosage

AI Search vs. Google Search: A Comparative Analysis

Initial Exploration of Age-Specific Recommendations

• The speaker expresses disappointment in the lack of age-specific breakdowns for creatine safety, indicating uncertainty about the information's reliability.

• Attempts to find guidelines on age-specific recommendations yield similar unsatisfactory results across different platforms, including Google.

Effectiveness of Search Engines for Specific Queries

• The speaker notes that Google excels when searching for specific websites or known content, unlike AI search tools which provide direct answers instead of links.

• When searching for flights to Europe, the speaker finds that AI tools like Search GPT and Perplexity struggle to provide concrete flight options compared to Google's native capabilities.

Flight Searches and User Experience

• The speaker attempts a follow-up query on finding actual flights but is directed back to general steps rather than specific results.

• After refining the search query in Google, the speaker successfully retrieves a list of specific flights with prices, highlighting Google's superior performance in this area.

Image Searches: Comparing Capabilities

• In an image search for robots, initial results from AI tools are limited and lack filtering options; however, Google provides extensive images with filtering capabilities.

Summary of Findings on AI vs. Traditional Search Engines

• The speaker concludes that while AI search represents the future, traditional searches via Google remain superior for users who know exactly what they want.

• Speed is highlighted as a significant advantage for Google over current AI search engines.

Conceptualizing AI as an Answer Engine

• The distinction between "answer engines" (AI tools like Search GPT and Perplexity) versus traditional "search engines" (like Google) is emphasized based on user needs.

Interface Preferences and Functionality Insights

• While acknowledging Google's cluttered interface filled with ads, the speaker appreciates Perplexity's clean design and functionality over others like Search GPT.

Final Thoughts on Choosing Between Platforms