Which AI Nailed My Prompts Greatest?

Whether or not shopping 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 speak, converse, and help others like actual human beings. Now, AI chatbots can simulate feelings and sentiments, analyze tutorial papers and sophisticated articles, and likewise turn into full-blown analysis assistants or information visualizers. 

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

Proper off the bat, Gemini proved to be higher at gradual pondering, artistic narration, deep analysis, and sentient responses, whereas Perplexity supplied ease of net shopping, correct supply citations, and structured thematic content material. 

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

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

Notice: Each Gemini and Perplexity often roll out new updates to those AI chatbots. The main points beneath replicate essentially the most present capabilities as of August 2025 however could change over time.

• Info retrieval and verifiability: Perplexity AI affords customers superior transparency and belief by its technical design of real-time net indexing coupled with direct supply citations, which is essential for deep analysis duties. It helps candidates in placing collectively tutorial papers, referencing authoritative case research, and providing correct sources of data for full information evaluation. Gemini, whereas utilizing Google’s search infrastructure, gives much less granular supply attribution, which is likely to be 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 era throughout various information modalities (textual content, picture, audio, and video). It affords 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 era in paid tiers, is a bit of 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 instantly inside Gmail, Docs, Sheets, and Drive, and to implement a safe mannequin by Vertex AI and enterprise-grade governance. Perplexity affords 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 data graph, doubtlessly providing richer contextual understanding and extra nuanced responses inside its built-in setting. Perplexity AI’s energy lies in its real-time net indexing, offering up-to-date data and a holistic search expertise. Nevertheless it doubtlessly lacks the identical depth of pre-existing structured data for sure queries.
  
• Output controls and customization: It’s worthwhile to have correct management over output and tailor it to the immediate of the person 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 based mostly on activity necessities and preferences for tone, type, or efficiency. Gemini doesn’t but expose mannequin switching on the person stage however as an alternative focuses on fine-tuning outputs through immediate engineering, integrations, multimodal options, or rising agentic options like “Gemini Dwell” or “Deep Assume”.
  
• Visible and audio help: Gemini helps superior picture era (through 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 era through 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: When you can entry Gemini on the net through gemini.google.com and use it, Perplexity affords you an choice to set the default search engine on each desktop and Android. You may as well entry the Gemini plugin for Chrome, which helps summarize your search outcomes. However Perplexity’s structured search engine and follow-up mechanism provide a much better net shopping 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. Nevertheless it’s picture era is restricted.  In distinction, Gemini boasts sturdy multimodal capabilities for complete picture evaluation, together with superior recognition, OCR, and limitless era, 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 provide barely distinct analysis mechanisms, content material type, and move of speech, there are a selection of use instances that each of them will be collectively used for. Primarily based on a typical transformer structure, each of those AI chatbots even have extra issues in widespread than you suppose.

• Conversational AI and chatbots: Each Gemini and Perplexity are broadly used to construct conversational brokers that may perceive and reply to person queries naturally. They energy empathetic conversations and maintain a long-held context of person emotion as they perceive textual content type, tone, and patterns to offer a passable response to the person.
• Data retrieval and query answering: Gemini and Perplexity each make the most of retrieval-augmented era to offer correct solutions. Whereas Perplexity pulls real-time information from the online and cites reside sources, Gemini integrates Google Search (in supported variations) to retrieve contextually related and trusted data.
• Content material era and summarization: Each Gemini and Perplexity excel at producing and summarizing content material. Gemini reveals energy in multimodal and technical content material creation, and Perplexity delivers contemporary, well-structured outputs by combining mannequin energy (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 traits and summaries. Gemini integrates nicely 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 provide an adaptive response based mostly on person enter and context. Gemini can personalize options extra deeply inside Google Workspace, whereas Perplexity adjusts the tone and depth based mostly on utilization patterns and question type, even remembering the context from previous threads when logged in.
  
• Multilingual help and translation: Each platforms help dozens of languages with excessive fluency. Gemini handles multilingual duties with sturdy 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. 
• Multimodal Inputs (Rising Capabilities): Each Perplexity Professional and Gemini 2.5 Superior are increasing past pure textual content to grasp and reply to photographs and different media. Gemini 2.5 Superior is designed with native multimodal capabilities, whereas Perplexity is steadily integrating image-based queries and contextual responses.
• Deep analysis/reasoning help: Each can help with brainstorming, outlining, and validating concepts—serving to customers refine ideas, establish credible sources, and generate structured outputs for initiatives starting from tutorial analysis to enterprise planning.

Disclaimer: AI responses could range based mostly 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 alter based mostly on the instruments you’re evaluating).

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: Might you summarize the context on this G2 listicle within the type of a TLDR callout, which accommodates 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 apparent (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 decision-making parameters that assist the choice maker to rapidly scan the non-negotiables with out delving into a whole software program paper, thus providing high-quality content material providers and enhancing model credibility.

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 most effective development estimating software program. It laid out metrics like person 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 spend money on a worthy product. 

Whereas the TLDR seems fairly respectable and combines all the important thing parameters, it missed a serious angle within the authentic listicle that supplied extra depth within the G2 listicle evaluation: G2 critiques.

Winner: Perplexity

2. Content material creation

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

For this activity, I considered placing each these instruments to the check for a startup concept 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 assets 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 strain. It additionally comes with a built-in AI to detect your temper and align it with therapeutic voice directions to calm you down. Advertising supplies ought to ideally embody product descriptions, taglines, social media posts, electronic 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 strain 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 embody product descriptions, taglines, social media posts, electronic 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 nicely. Nonetheless, I felt that it largely reiterated what I already talked about within the immediate and didn’t have a lot originality.

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

Winner: Gemini

3. Artistic Writing

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

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

Perplexity’s response to the artistic writing immediate.

Whereas Perplexity didn’t add scene visuals or poetic nuances, it did achieve creating an summary dialogue between two associates who discuss their strained relationship within the type of a backyard. Whereas it was completely heartfelt and interesting, on this activity, 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 gives an fascinating angle for the readers. The dialogue was candy, simple to learn, partaking, and poetic in its look.

Winner: Gemini

4. Coding

Coding check is the final word litmus check for AI chatbots, largely as a result of many early coders instantly copy and paste the output code with out operating it by a handbook compiling course of. For this activity, I believed a easy and responsive navigation bar for the frontend UI can be the most effective. 

I instructed the AI software to deal with code usability, responsiveness, and UI friendliness whereas robotically debugging the code at runtime to eradicate 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 net nav bar

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

                                Gemini’s response to coding an internet nav bar 

For Gemini, I used Google AI Studio, which affords a reside built-in preview of your HTML and CSS code in an built-in information setting. To view the reside 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 lessons and features.

Each Gemini and Perplexity excelled in producing full, practical code snippets. What’s extra, they supplied a transparent and sensible start line to your net improvement initiatives.

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

5. Aggregating multi-source data

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

I requested each Perplexity and Gemini to hint the evolution of public and tutorial discussions across the four-day work week over the past 10 years (2015 – 2025). Determine key arguments for and towards it as they emerged, noting any important 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 tutorial dialogue across the four-day work week over the past 10 years (2015-2025). Determine key arguments for and towards it as they emerged, noting any important 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 thoroughly crafted the for and towards 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 person 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 probably stood out extra as a result of its deeper narrative exploration of the evolving arguments and extra complete dialogue of regional/business nuances and particular trial outcomes over time. 

Nonetheless, Perplexity’s inclusion of current statistics and legislative data affords a invaluable 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 strategy) and Gemini (for correct narrative bend)

6. Deep analysis

As a part of the current improve to the fashions, AI chatbots now declare to deal with advanced analysis queries, that means that they will undergo tons of net assets for you. I aimed to place this to the check with a complicated analysis immediate that you’ll find within the PDF hooked up on the finish of this activity.

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 activity extraordinarily simple and handy. 

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

        Gemini’s response to the deep analysis immediate.

The place Gemini stood out was within the foreword. It began by looking for literature critiques, meta-analyses, and complete stories discussing lawsuits towards AI firms. That, in keeping with me, is an early indication that your analysis proposal is headed in the fitting route.

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 mission for my subsequent facet hustle gig.

Winner: Gemini

If you happen to’re taken with understanding extra concerning the analysis proposals each these chatbots created as an consequence of a deep case research evaluation, click on right here.

7. Analyzing tutorial papers 

Be it crafting a analysis proposal, extracting key insights from present tutorial 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 deal with AI-powered engines like google that scour the online 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 examine 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“