SearchGPT vs. Perplexity vs. Google: A 2024 Hands-On Comparison

I have access to OpenAI’s SearchGPT prototype and want to compare it with Perplexity and Google Search. Viewers suggested a variety of searches, from coding to travel and current events. This is an informal August 2024 comparison: account settings, location, wording and later product changes can all affect the results.

SearchGPT gives a generated answer, images and citations, with a sources panel and follow-up questions. For Olympic results it summarizes medal information. As with any generated answer, fluent text can be wrong, so the links are a starting point for checking rather than a guarantee that every statement is correct.

Perplexity offers a similar conversational experience with sources and follow-ups, plus features such as related searches, collections and file attachments in the interface I see. For the Olympic query, Google’s dedicated result panel is my favorite: it makes medal counts and event tabs easy to scan without reading a long answer.

The first suggested technical search asks how to find an IP address using the newer Linux ip command. SearchGPT provides ip addr and an example output, although it also shows images that do not seem helpful. I check a linked article and find that the command and its variants are equivalent; I do not run the command myself in this demonstration.

Perplexity provides ip addr show, related searches and sources. In Google, I see an AI overview and conventional links, including results that mention older ifconfig as well as ip. For this question I prefer the direct answers from the two AI tools, while still needing to check a source for correctness.

Next I ask why a Python program cannot find a module that appears to be present. SearchGPT supplies possible explanations; a standard ChatGPT query gives a broadly similar answer. That makes me question whether a web search was necessary for this particular prompt, though a similar answer alone cannot prove which sources were used.

Perplexity suggests checking the environment, package installation and Python path. Google’s AI overview also lists possible causes and links to sources, but I prefer the more actionable code-oriented responses from the other two. These are general troubleshooting suggestions, not a diagnosis of a specific environment, and I do not execute each proposed fix.

For freshness, I look for a Unitree robot video published that morning. SearchGPT surfaces older videos. Perplexity identifies a recent title and date, but the linked video I open is a review rather than the original. Google’s first video result points to the recent official upload, so it wins this individual test.

A business query asks for Melbourne venues capable of hosting 1,500 delegates. SearchGPT returns a list, but some entries are described as accommodating only 1,400 or 1,200. Perplexity provides a shorter list that appears to meet the requested capacity, while Google primarily gives links; I prefer Perplexity’s presentation in this example.

A venue’s true suitability still depends on room layout, availability and the event’s requirements. The video does not independently verify each listed capacity, so the generated list should be treated as a starting point and checked against the venue before planning.

I ask who the main presenters at the upcoming Dreamforce conference are and why they were selected. SearchGPT lists several names and gives a generic explanation; Perplexity produces a different, shorter list with a similarly broad rationale. Neither really explains the reasons for each person’s selection.

I open the event’s speaker page to compare. Some names in SearchGPT’s answer do not appear in the list I inspect, so I suspect it mixed information or hallucinated. Perplexity appears closer but omits a person I expected to see; absence from the portion of a page examined is not by itself definitive proof that someone was never scheduled.

For a local movie-theater query, I hide the results to protect my location. I report that SearchGPT gives relevant local theaters and reasons, while Perplexity assumes an incorrect location and Google’s results also do not fit my current location. Because the results are not shown, viewers cannot independently verify my assessment.

Viewers also ask about political bias. I search for reporting on the July 2024 attempted assassination of Donald Trump. SearchGPT and Perplexity provide summaries with sources, while Google shows news and web links. I find the summaries easier to read, but this single query does not establish whether a search engine is unbiased or whether every generated detail is accurate.

A question about collagen and creatine by age produces general answers from the AI tools. Neither gives the detailed breakdown I wanted, and I say explicitly that I do not know whether the recommendations are accurate. The Google results also do not directly answer the question in my test; the video does not establish safe dosages.

For locating a specific website or a video whose source I cannot remember, I find conventional Google Search useful because it prioritizes links. Synthesized answers can be convenient, but sometimes the primary destination itself is the thing I want.

I try a hypothetical flight search for two adults and two children traveling to Europe in business class during December. SearchGPT gives airline information without the specific flights I want; Perplexity offers advice and points me toward flight-search tools. Neither result in this test supplies a complete itinerary matching the request.

Google initially returns ordinary links for the long question. After I shorten the query, it displays destinations and prices, which I find more useful. The reformulated query omits some original details, so the panel does not demonstrate that every option satisfies the original dates, passenger counts and business-class requirement.

Finally, I search for robot images. SearchGPT returns a limited set with little filtering in the prototype I am using; Perplexity interprets the term broadly and offers information. Google’s image tab supplies a larger collection and filters for different kinds of images, making it my preferred tool for this example.

My overall view is that AI search works like an answer engine: it synthesizes a response, links to sources and allows follow-up questions. Google is useful for finding a destination, searching images or using integrated tools, and it feels faster in these tests. The distinction is useful, though Google also has an AI overview and the products continue to change.

I find Perplexity’s interface and feature set more complete than the early SearchGPT prototype, and I would choose Perplexity if forced to use just one based on this experience. That is a personal preference from a small set of 2024 queries, not a controlled accuracy study; the best choice depends on the question and on checking important answers.