My Unfiltered Take After Actual-World Exams

Whether or not looking for a brand new recipe or placing collectively a presentation deck for work, we make the most of AI chatbots like Perplexity or Gemini en masse to finish our private {and professional} duties.

That’s the present state of AI chatbots that may discuss, converse, and help others like actual human beings. Now, AI chatbots can simulate feelings and sentiments, analyze educational papers and sophisticated articles, and likewise turn out to be full-blown analysis assistants or information visualizers. 

After spending a whole lot of time working with AI chatbots, I made a decision to check Perplexity and Gemini in a collection of checks primarily based on real-world duties and issues. As the 2 most generally used AI chatbots, this experiment made it clear which splendid duties are extra appropriate for both of those instruments.

Proper off the bat, Gemini proved to be higher at gradual pondering, inventive narration, deep analysis, and sentient responses, whereas Perplexity provided ease of internet looking, correct supply citations, and structured thematic content material. 

Along with my comparability, I factored in a whole bunch of real-time G2 opinions which have rated Perplexity and Gemini quantitatively for every of those options. 

Whether or not it’s conversational capacity, writing, debugging code, writing poetic narratives, or producing fast social media emails, this listing would possibly assist you determine which one sails your boat.

Be aware: Each Gemini and Perplexity steadily roll out new updates to those AI chatbots. The small print beneath replicate essentially the most present capabilities as of Might 2025 however might change over time.

Perplexity vs. Gemini: What’s totally different and what’s not?

Whereas I set about testing two strong question-and-answer engines, I observed one stark distinction. 

Whereas Gemini integrates with the bigger Google ecosystem and is on the market on apps like Google Docs and Google Spreadsheets, Perplexity is extra of an online looking engine that provides automated contextual follow-up inquiries to make your search extra immersive.

This me sufficient to analysis deeper nuances between the 2 — whether or not they converge and the place they pull aside.

Perplexity vs. Gemini: Key variations

Based mostly on my expertise, these are the primary differentiators between Perplexity and Gemini to remember earlier than working with them:

• Info retrieval and verifiability: Perplexity AI provides customers superior transparency and belief by means of its technical design of real-time internet indexing coupled with direct supply citations, which is essential for deep analysis duties. It helps candidates in placing collectively educational papers, referencing authoritative case research, and providing correct sources of knowledge for full information evaluation. Gemini, whereas utilizing Google’s search infrastructure, supplies much less granular supply attribution, which is perhaps a priority for customers who prioritize audit trails and supply reliability.
• Native multimodal processing: Gemini’s technical structure natively helps simultaneous processing and content material technology throughout various information modalities (textual content, picture, audio, and video). It provides customers a unified platform for content material creation, evaluation, and interplay throughout numerous media sorts. Perplexity AI’s primarily text-based structure, with nascent AI picture technology in paid tiers, is a little bit limiting for customers who need multimodal workflows. 
• Enterprise readiness and ecosystem integration: Gemini is deeply embedded in Google Workspace and Google Cloud ecosystems, permitting enterprise customers to entry AI help straight inside Gmail, Docs, Sheets, and Drive, and to implement a safe mannequin by means of Vertex AI and enterprise-grade governance. Perplexity provides an enterprise plan with collaboration options like shared threads and areas, however lacks tight integration with productiveness instruments and cloud native infrastructure, limiting its plug-and-play enchantment in enterprise environments.
• Data graph and contextual consciousness: Gemini advantages from Google’s huge information graph, probably providing richer contextual understanding and extra nuanced responses inside its built-in surroundings. Perplexity AI’s power lies in its real-time internet indexing, offering up-to-date data and a holistic search expertise. However it probably lacks the identical depth of pre-existing structured information for sure queries.
  
• Output controls and customization: You should have correct management over output and tailor it to the immediate of the consumer to generate a passable response. Perplexity permits customers to toggle between a number of fashions (GPT-4, Claude, Mistral) for his or her responses, providing flexibility primarily based on job necessities and preferences for tone, type, or efficiency. Gemini doesn’t but expose mannequin switching on the consumer stage however as a substitute focuses on fine-tuning outputs by way of immediate engineering, integrations, multimodal options, or rising agentic options like “Gemini Reside” or “Deep Assume”.
  
• Visible and audio assist: Gemini helps superior picture technology (by way of Imagen 2/4), picture and video understanding, and native audio enter/output, positioning it as a creativity software as a lot as a productiveness assistant. Perplexity, whereas providing picture technology by way of third-party integrations like DALL-E or Playground AI, lacks some deep multimodal processing and is primarily optimized for textual content material and search-based interplay.
• Internet search and accessibility: Whilst you can entry Gemini on the internet by way of gemini.google.com and use it, Perplexity provides you an choice to set the default search engine on each desktop and Android. You can even entry the Gemini plugin for Chrome, which helps summarize your search outcomes. However Perplexity’s structured search engine and follow-up mechanism supply a much better internet looking expertise.
• Picture evaluation: With Perplexity AI, you need to use picture uploads primarily to detect in-line textual content, thereby utilizing object detection and contextual consciousness. However it’s picture technology is proscribed.  In distinction, Gemini boasts robust multimodal capabilities for complete picture evaluation, together with superior recognition, OCR, and limitless technology, deeply built-in throughout the Google ecosystem. Whereas Perplexity emphasizes sourced data for picture textual content, Gemini excels in broader visible understanding and creation throughout numerous functions.

Perplexity vs. Gemini: Key similarities

Whereas Perplexity and Gemini supply barely distinct analysis mechanisms, content material type, and circulation of speech, there are a selection of use instances that each of them could be collectively used for. Based mostly on a standard transformer structure, each of those AI chatbots even have extra issues in widespread than you assume.

• Conversational AI and chatbots: Each Gemini and Perplexity are broadly used to construct conversational brokers that may perceive and reply to consumer queries naturally. They energy empathetic conversations and maintain a long-held context of consumer emotion as they perceive textual content type, tone, and patterns to offer a passable response to the consumer.
• Data retrieval and query answering: Gemini and Perplexity each make the most of retrieval-augmented technology to offer correct solutions. Whereas Perplexity pulls real-time information from the net and cites stay sources, Gemini integrates Google Search (in supported variations) to retrieve contextually related and trusted data.
• Content material technology and summarization: Each Gemini and Perplexity excel at producing and summarizing content material. Gemini exhibits power in multimodal and technical content material creation, and Perplexity delivers contemporary, well-structured outputs by combining mannequin power (GPT-4 turbo) with real-time information grounding.
• Knowledge evaluation and insights extraction: Gemini and Perplexity can interpret structured inputs like tables or plain textual content to extract data-driven tendencies and summaries. Gemini integrates properly with Google Sheets, whereas Perplexity interprets uploaded paperwork or hyperlinks to generate concise data-driven insights and visualizations.
• Personalised suggestions and help: Each these instruments supply an adaptive response primarily based on consumer enter and context. Gemini can personalize solutions extra deeply inside Google Workspace, whereas Perplexity adjusts the tone and depth primarily based on utilization patterns and question type, even remembering the context from previous threads when logged in.
  
• Multilingual assist and translation: Each platforms assist dozens of languages with excessive fluency. Gemini handles multilingual duties with robust cross-language reasoning and trustworthy suggestions. Perplexity makes use of underlying fashions like Claude and GPT-4 to ship correct translations and perceive the semantic context of code-switched queries. 

Disclaimer: AI responses might range primarily based on phrasing, session historical past, and system updates for a similar prompts. These outcomes replicate the fashions’ capabilities on the time of testing. (Be happy to vary primarily based on the instruments you might be evaluating).

Perplexity vs. Gemini: How they really carried out in my checks 

Together with evaluating each instruments, it was additionally essential to present a good evaluation of the benchmarks that they set in a selected job. As I consider these instruments, I’d construction my verdict within the following means.

• What stood out? I’ll spotlight the strengths, weaknesses, or any surprises (good or unhealthy) I observed from each AI chatbots.

• Who did it higher? I’ll inform you about which AI chatbot got here out on high primarily based on accuracy, effectivity, creativity, and the way straightforward it was to make use of the output.
• Closing verdict: I’ll share my trustworthy tackle which chatbot is a more sensible choice for a specific job.

Prepared? Right here we go!

1. Summarization

For my summarization check, I requested each Perplexity and Gemini to summarize a G2 listicle (in regards to the high development estimating software program for 2025) right into a crisp TL;DR — inside 100 phrases — highlighting the important thing shortlisting standards.

The article mentioned a first-hand evaluation of the seven finest development estimating software program for 2025 for consumers to refine their decision-making processes.

Immediate: May you summarize the context on this G2 listicle within the type of a TLDR callout, which incorporates the main shortlisting parameters of software program within the development estimating software program class, holding your response underneath 100 phrases.

                         Perplexity’s response to the summarization immediate 

Perplexity’s response to the immediate actually perplexed me (in a great way). Whereas stating the plain (shortlisting parameters), it surfaced the citations to each the unique URL and the precise software program class URL.

It additionally added the missed context round proprietary G2 scores and G2 consumer opinions that made the abstract really feel full and grounded in authenticity.

Gemini, then again, supplied a neat and layered output, explaining what non-negotiable parameters are to remember if you start your analysis course of for the very best development estimating software program. It laid out metrics like consumer satisfaction, market presence, ease of administration, and implementation, which have been thought-about whereas rating the merchandise within the G2 listicle and are key influencing elements to put money into a worthy product. 

Whereas the TLDR appears fairly first rate and combines all the important thing parameters, it missed a significant angle within the unique listicle that supplied extra depth within the G2 listicle evaluation: G2 opinions.

Winner: Perplexity

2. Content material creation

Each Perplexity and Gemini have earned a status for producing high-quality, partaking, and audience-centric content material that performs properly throughout content material distribution channels and improves lead technology.

For this job, I considered placing each these instruments to the check for a startup thought and instructed them to brainstorm content material methods, social media captions, scripts, advert copies, and so forth. The purpose was to create content material advertising sources for a brand new product marketing campaign.

I requested each merchandise to generate advertising supplies for a fictional product, “Mindgear”, which is a smartwatch that screens your pulse, coronary heart fee, sp02 ranges, and blood stress. It additionally comes with a built-in AI to detect your temper and align it with therapeutic voice directions to calm you down. Advertising and marketing supplies ought to ideally embrace product descriptions, taglines, social media posts, e-mail topic strains, and scripts- basically every thing a model would want for a full-on advertising marketing campaign.

Immediate: Generate advertising supplies for a fictional product “Mindgear”, which is an smartwatch that screens your pulse, coronary heart fee, sp02 ranges and blood stress and comes with a built-in AI to detect your temper (joyful, unhappy, offended or emotional) and align it with therapeutic voice directions to calm you down. These ought to embrace product descriptions, taglines, social media posts, e-mail topic strains, and scripts- basically every thing a model would want for a full-on advertising marketing campaign.

                         Perplexity’s response to the content material creation immediate

I actually liked Perplexity’s response. The content material was fairly on level and hit the set off factors very properly. Nevertheless, I felt that it largely reiterated what I already talked about within the immediate and didn’t have a lot originality.

Gemini fairly properly highlighted the product’s USPs, akin to on-site therapeutic steerage and wearable wellness, explaining its strengths and advantages. It additionally created video frames throughout the scripts, which, in response to me, was a winner for launch movies.

Winner: Gemini

3. Inventive Writing

I requested each Perplexity and Gemini to craft a brief dialogue (approx 200 to 300 phrases) between two characters who can not straight state their emotions or the core situation between them. Each AI fashions delved into the poetic essence of the subject and crafted partaking dialogues that hooked me all through. Nevertheless, they differed of their execution type and content material construction.

Immediate: Craft a brief dialogue (approx. 200-300 phrases) between two characters who can not straight state their true emotions or the core situation between them. Their total dialog should depend on subtext, metaphor, and oblique allusions. Make sure the reader can understand the underlying emotional pressure and unstated truths, regardless of the characters by no means articulating them explicitly.

                         Perplexity’s response to the inventive writing immediate.

Whereas Perplexity didn’t add scene visuals or poetic nuances, it did reach creating an summary dialogue between two buddies who speak about their strained relationship within the type of a backyard. Whereas it was completely heartfelt and fascinating, on this job, Gemini confirmed a bit extra poetic really feel and artistic aptitude than Perplexity.

Gemini’s response, particularly “The Wilting Backyard”, had me virtually in tears. 

It was refreshing to learn and draw parallels between this brief dialogue and our real-life tales, which supplies an attention-grabbing angle for the readers. The dialogue was candy, straightforward to learn, partaking, and poetic in its look.

Winner: Gemini

4. Coding

Coding check is the last word litmus check for AI chatbots, largely as a result of many early coders straight copy and paste the output code with out working it by means of a guide compiling course of. For this job, I assumed a easy and responsive navigation bar for the frontend UI can be the very best. 

I instructed the AI software to give attention to code usability, responsiveness, and UI friendliness whereas mechanically debugging the code at runtime to remove errors or leaks.

Immediate: Are you able to write HTML, CSS, and JavaScript code snippets to create a user-friendly and responsive navigation bar for my web site?                              

                         Perplexity’s response to the coding immediate for internet nav bar

I really like how Perplexity generated three totally different scripts for HTML, CSS and JavaScript recordsdata and added a disclaimer on the code being only a “pattern” for the consumer. Not simply that, it additionally gave a built-in code editor surroundings to debug, execute, compile and run code efficiently.

                                Gemini’s response to coding an online nav bar 

For Gemini, I used Google AI Studio, which provides a stay built-in preview of your HTML and CSS code in an built-in information surroundings. To view the stay preview of the navigation bar, I merely needed to copy and paste the code as an HTML file and run it on my browser.

Whereas each Gemini and Perplexity generated factually correct, responsive, and user-friendly code snippets, Gemini additionally analyzed the utility of courses and capabilities.

Each Gemini and Perplexity excelled in producing full, purposeful code snippets. What’s extra, they provided a transparent and sensible place to begin on your internet improvement initiatives.

Winner: Cut up; Perplexity for ease of code and code continuation, Gemini for elaborating on operate and sophistication declarations.

5. Aggregating multi-source data

Each Perplexity and Gemini supply distinctive internet looking capabilities that assist with aggregating multi-source data for consumer queries. Aggregating a number of sources isn’t only a type of data retrieval, it requires a particular diploma of synthesis, essential analysis, and nuanced understanding drawn from disparate or conflicting sources.

I requested each Perplexity and Gemini to hint the evolution of public and educational discussions across the four-day work week during the last 10 years (2015 – 2025). Establish key arguments for and in opposition to it as they emerged, noting any vital real-world trials and their reported outcomes. Conclude by summarizing the present prevailing sentiment or factors of debate, citing particular examples or information factors from totally different areas or industries the place attainable. Current your findings in a chronological overview with distinct arguments and their counterpoints.

Prompts: Hint the evolution of the general public and educational dialogue across the four-day work week during the last 10 years (2015-2025). Establish key arguments for and in opposition to it as they emerged, noting any vital real-world trials or research and their reported outcomes. Conclude by summarizing the present prevailing sentiment or factors of debate, citing particular examples or information factors from totally different areas or industries the place attainable. Current your findings as a chronological overview with distinct arguments and their counterpoints.

                                Perplexity’s response to the multi-source data aggregation immediate.

What I liked about Perplexity’s response was that it pulled the arguments from information items, articles, analysis papers, and punctiliously crafted the for and in opposition to arguments in a year-wise format. It was simply interpretable and gave extra construction to the talk.

Additionally, Perplexity cited 8 total sources and pulled insightful metrics that align with consumer notion of a 4-day work week, which in my case was a winner!

         Gemini’s response to the multi-source data aggregation immediate

Here’s what I observed: Gemini possible stood out extra attributable to its deeper narrative exploration of the evolving arguments and extra complete dialogue of regional/trade nuances and particular trial outcomes over time. 

Nevertheless, Perplexity’s inclusion of latest statistics and legislative data provides a helpful snapshot of present adoption and coverage discussions, complementing Gemini’s narrative focus. Each are a win-win in their very own methods.

Winner: Cut up: Perplexity (for stat-based method) and Gemini (for correct narrative bend)

6. Deep analysis

As a part of the latest improve to the fashions, AI chatbots now declare to deal with complicated analysis queries, which means that they will undergo tons of internet sources for you. I aimed to place this to the check with a complicated analysis immediate that you will discover within the PDF hooked up on the finish of this job.

                                   Perplexity’s response to the deep analysis immediate.

Proper off the bat, I observed how cleanly and analytically Perplexity generated the introduction and adopted it into the analysis targets of that proposal. Whereas my analysis query didn’t explicitly point out the presence of an unbiased and shared variable, it’s evident that Perplexity browsed high-quality and correct case research and derived the correlation between variables, evidently within the goal part. It helped make my job extraordinarily straightforward and handy. 

Nevertheless, it fell brief on analysis design; it didn’t discover analysis methodologies, dangers, and different great things.

                             Gemini’s response to the deep analysis immediate.

The place Gemini stood out was within the foreword. It began by looking for literature opinions, meta-analyses, and complete studies discussing lawsuits in opposition to AI firms. That, in response to me, is an early indication that your analysis proposal is headed in the best course.

One other standout issue is that Gemini crafted a complete analysis proposal (which can be utilized with minor tweaks, AP edits, and content material refinements) as official analysis to pitch to a startup investor. I used to be so overwhelmed with Gemini’s response that I ended up engaged on the analysis proposal as an unbiased challenge for my subsequent facet hustle gig.

Winner: Gemini

If you happen to’re curious about understanding extra in regards to the analysis proposals each these chatbots created as an end result of a deep case examine evaluation, click on right here.

7. Analyzing educational papers 

Be it crafting a analysis proposal, extracting key insights from current educational papers, or referencing correct citations, each Gemini and Perplexity stood out to me and crunched qualitative or quantitative information inside seconds. 

I additionally wish to name out the “analysis” and “deep analysis” options of each of those AI instruments. These options give attention to AI-powered engines like google that scour the net for data in actual time and synthesize findings into concise solutions with cited sources. 

I gave each ChatGPT and Perplexity a analysis paper on “Consideration Is All You Want” and requested them to check “consideration mechanism” and “self-attention” to test how they are often totally different and put the comparability in a desk.

Immediate:

Analyze the analysis paper as follows: “https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf“