Comparing Google and SearchGPT Search Engines for Voice Searches 

• Amol Ghemud
• Comparing Google and SearchGPT Search Engines for Voice Searches 
• Published: October 16, 2025

Contributors: Amol Ghemud
Published: October 16, 2025

“SearchGPT shines for quick, conversational answers, while Google leads with depth and real-time data.”

Introduction 

The evolution of search technology has transformed how users interact with information. Voice search, facilitated by virtual assistants like Siri, Google Assistant, and Alexa, has become increasingly prevalent, allowing users to perform searches through spoken commands. This shift towards conversation-specific queries necessitates an examination of how traditional search engines like Google and AI-driven platforms like SearchGPT handle voice searches.

What are Voice Searches?

Voice searches allow users to speak their queries to devices equipped with voice recognition technology, such as smartphones, smart speakers, and virtual assistants. This method enables a more natural and conversational interaction compared to traditional text-based searches. These queries are often longer-tail and location-specific. For example, a user might say, ‘Where can I get a good vegetarian meal nearby?’ instead of typing ‘best vegetarian restaurants in Delhi,’ or ‘Find the closest hospital’ instead of ‘nearest hospital.’

According to reports, 27% of people use voice search on mobile devices, with over 50% of adults globally using it daily in 2024. This growing trend underscores the importance of optimizing digital content for voice search to align with user preferences for convenience and natural communication.

Characteristics of Voice Search Queries

Voice search has unique characteristics that differentiate it from text-based searches:

1. Conversational Language: Voice search mirrors the way people naturally speak, resulting in longer and more contextually detailed queries. For instance, instead of typing “New York weekend weather,” a user might say, “What’s the weather like this weekend in New York?” This natural phrasing challenges search engines to understand full sentences rather than isolated keywords.

2. Long-Tail Phrasing: Voice searches are typically more detailed, including specific phrases or extra context that reflects how we communicate. This results in “long-tail” queries, meaning they’re more complex and nuanced than traditional text-based searches. Search engines, therefore, need to analyze intricate sentence structures, identifying meaning beyond just matching keywords.

3. Question-Based Format: Voice queries often start with question words like who, what, where, when, why, and how. These questions signal that users expect direct, specific answers rather than a list of general resources. For example, a question-based query like “How do I reset my router?” requires an exact, step-by-step response, different from a broader query that might provide various links.

4. Location-Based Searches: Many voice searches are inherently local. When users ask questions like “Find a nearby coffee shop” or “Where’s the closest pharmacy?”, they’re often looking for immediate, location-based answers. Voice search adapts to this by prioritizing geographic proximity in its responses, making it a practical tool for on-the-go queries.

5. Immediate Intent: Voice search users generally expect rapid, actionable responses. For example, queries like “What time does the nearest supermarket close?” reflect a need for quick information that helps the user take immediate action. This real-time, intent-driven nature of voice search emphasizes the need for concise and relevant results, distinguishing it from traditional searches where users may be more open to browsing various sources.

Conversational Language

Example: “Where can I get a good vegetarian meal nearby?”

Google Approach

Google’s voice search capabilities leverage its NLP to interpret natural, conversational language effectively. It provides search results that match the user’s spoken intent, drawing from an extensive database of web content and local services.

Strengths:

1. Accurately understands everyday language, including informal phrasing.
2. Provides comprehensive results enriched with features like local listings and user-generated reviews.
3. Offers follow-up suggestions through “People also ask” sections for deeper exploration.

Weaknesses:

1. User intent may sometimes be misunderstood if the query is vague or overly nuanced.
2. The vast amount of information displayed can be overwhelming, requiring users to shift through multiple results.

SearchGPT Approach

SearchGPT is designed to interpret voice queries in a highly conversational way. It responds as though engaging in dialogue, simplifying complex questions and providing direct answers in a user-friendly tone.

Strengths:

1. Delivers responses that feel interactive and tailored to the user’s spoken input.
2. Avoids information overload by summarizing responses in a straightforward manner.
3. Adapts well to colloquial and casual speech patterns.

Weaknesses:

1. May not provide references or sources, which can impact the trustworthiness of the response.
2. Lacks depth when handling queries that require detailed, multi-layered answers.

Long-Tail Phrasing

Example: “What are some healthy, easy dinner recipes for a family of four?”

Google Approach

Google’s voice search function handles long-tail queries by processing the detailed, multi-part nature of the question. It breaks down these longer queries into manageable elements to return results that cater to the full context of the user’s request. The search results often include a mix of featured snippets, recipe sites, videos, and blog posts.

Strengths:

1. Provides varied content formats such as step-by-step guides, videos, and images.
2. Shows rich snippets or “quick answers” that address the user’s question directly.
3. Captures the essence of longer queries by leveraging advanced search algorithms to maintain query specificity.

Weaknesses

1. The multitude of results can sometimes divert the user from finding the most relevant answer quickly.
2. Depending on how specific the query is, relevant results might be buried among less pertinent links.

SearchGPT Approach

SearchGPT effectively interprets and responds to long-tail voice queries by using its robust language model to provide answers that align with the full scope of the user’s request. The conversational format of the responses ensures users receive a comprehensive answer without navigating through multiple links.

Strengths:

1. Offers cohesive responses that address the entire query in one go, making it easier for users to find their answer.
2. Provides a summary that cuts down on time spent searching through multiple sources.
3. Adapts responses to include relevant details that align with the full context of the question.

Weaknesses:

1. The response might not be as detailed as what a dedicated article or website could offer, limiting in-depth exploration.
2. Lack of links or references to external sites may hinder users who wish to explore related content further.

Question-Based Format

Example: “How does a solar panel generate electricity?”

Google Approach

Google excels at handling question-based voice queries by showcasing answers through featured snippets, knowledge panels, and related questions in the “People also ask” section. This allows users to get quick answers directly from the search page without clicking on a link.

Strengths:

1. Provides authoritative, concise answers at the top of the results page.
2. Includes links to external sources for users who want more comprehensive information.
3. “People also ask” feature helps users refine or expand their queries with follow-up questions.

Weaknesses:

1. Results may pull from various sources, requiring users to assess credibility and relevance.
2. Information can sometimes be presented in fragments, prompting users to navigate through several links for a complete answer.

SearchGPT Approach

SearchGPT responds to question-based voice queries with direct, easy-to-understand answers in a conversational manner. It provides a synthesized explanation that often mirrors how a human might respond in conversation, ensuring clarity and engagement.

Strengths:

1. Offers a straightforward, well-structured response that fully answers the question.
2. Reduces the need for users to scroll through multiple links or sources.
3. Engages in a conversational tone that is inviting and easier for users to process.

Weaknesses:

1. Lacks the capability to offer citations or sources, making fact-checking difficult for users seeking credible, verifiable information.
2. May not capture the most up-to-date information if the query relates to rapidly changing topics or requires real-time updates.

Location-Based Searches

Example: “Find the best coffee shop near me.”

Google Approach

Google’s voice search is highly effective for location-based queries due to its integration with Google Maps and location services. When users make such a query, the search results typically display local business listings with detailed information such as directions, business hours, contact details, and user reviews.

Strengths:

1. Provides comprehensive local search results, complete with maps, ratings, and real-time information.
2. Offers seamless integration with navigation tools, allowing users to get directions instantly.
3. Includes user reviews and ratings, enabling users to make informed decisions.

Weaknesses:

1. Overwhelming amounts of information can make it difficult for users to quickly choose the best option.
2. Some businesses or locations may not be accurately updated or may have outdated details.

SearchGPT Approach

SearchGPT handles location-based voice queries by interpreting the user’s request and delivering concise, conversational responses. However, due to its limitations in real-time data access and integration with mapping services, it may provide only general information or advice.

Strengths:

1. Delivers a simple response that highlights nearby options without overloading the user with details.
2. Provides personalized suggestions based on context inferred from the user’s question.

Weaknesses:

1. Lacks real-time integration with navigation tools like Google Maps, making it less useful for users needing directions or current operational status.
2. Cannot provide live updates such as recent user reviews or changes in business hours.

Immediate Intent

Example: “What time does the nearest pharmacy close?”

Google Approach

Google’s voice search is highly equipped to handle queries with immediate intent, leveraging its connection to real-time data and local listings. It can pull operational hours, contact details, and the latest updates directly from Google My Business and similar databases.

Strengths:

1. Provides accurate, up-to-date information regarding business hours and availability.
2. Integrates real-time data updates, ensuring users receive the most current details.
3. Can direct users to call or navigate to the business with just one click.

Weaknesses:

1. The search results can sometimes present too much information or extra options that may distract from the user’s original query.
2. Relies on the accuracy of businesses’ online profiles, which may occasionally be outdated or incorrect.

SearchGPT Approach

SearchGPT responds to immediate intent queries with quick, direct answers that simplify user experience. It interprets questions contextually and delivers a response that aligns with the user’s urgent needs.

Strengths:

1. Provides a clear, direct answer, eliminating the need for users to sift through multiple results.
2. The conversational response makes it easy for users to digest the information quickly.

Weaknesses:

1. May not have access to the latest updates, such as recent changes to business hours or current availability.
2. Cannot integrate real-time, location-based data, which limits its effectiveness for live status queries.

Comparison Summary

When comparing how Google and SearchGPT handle voice search characteristics, several key differences emerge:

a. Conversational Language

1. Google: Utilizes advanced NLP to understand and return results based on natural language, presenting users with a mix of web links, local listings, and snippets. While effective, it can sometimes be overwhelming due to the volume of results.
2. SearchGPT: Provides a conversational response that mimics human dialogue, offering straightforward, easy-to-understand answers. It simplifies complex queries but may lack citations for verification.

b. Long-Tail Phrasing

1. Google: Handles long-tail queries well, showcasing various result formats such as articles, videos, and snippets that align with the user’s request. However, finding the most relevant answer can sometimes require more effort.
2. SearchGPT: Excels in delivering concise responses that cover long-tail questions in a comprehensive manner. It reduces the time needed to sift through sources but may not provide in-depth coverage or external links for further exploration.

c. Question-Based Format

1. Google: Answers question-based searches effectively, often featuring the “People also ask” section and knowledge panels for expanded exploration. Users benefit from a variety of perspectives but may need to evaluate multiple sources.
2. SearchGPT: Offers direct answers to questions with a conversational tone, making it easy to understand. However, it lacks external citations and in-depth resources for complex queries.

d. Location-Based Searches

1. Google: Strongly suited for location-based queries, providing detailed results with maps, user reviews, and directions. Its integration with real-time data and navigation tools is highly beneficial.
2. SearchGPT: Can provide general location-based information but lacks real-time integration and mapping services, which limits its utility for users seeking directions or live updates.

e. Immediate Intent

1. Google: Provides fast and accurate responses to immediate intent queries, thanks to its access to real-time data and business databases. Users receive comprehensive information but may have to filter through details.
2. SearchGPT: Delivers clear and concise answers quickly, catering well to users looking for direct responses. However, without live updates and real-time data access, it may fall short for time-sensitive or location-specific needs.

User Preferences and Use Cases

Choosing between Google and SearchGPT for voice searches depends on what users prioritize in their search experience. Here’s how these platforms align with different user needs:

a. Quick and Direct Responses

1. SearchGPT: Perfect for users looking for immediate, straightforward answers without navigating multiple links. For instance, queries like “What time does the local grocery store open?” benefit from SearchGPT’s concise, conversational replies.
2. Google: While capable of providing direct answers, its additional features may appeal to users wanting more context or related information beyond the initial query.

b. In-Depth Information and Exploration

1. Google: Favored by users who need detailed, multi-source information, making it ideal for research or learning more complex subjects like “the benefits of a Mediterranean diet” or “best financial planning tips.”
2. SearchGPT: Offers a summarized response that’s best for quick overviews rather than comprehensive exploration.

c. Real-Time Navigation and Location-Based Updates

1. Google: The preferred choice for users seeking live updates, navigation, or current business information, such as “directions to the nearest pharmacy” or “open restaurants near me.”
2. SearchGPT: Useful for general, non-urgent location queries but limited when real-time data is essential.

d. Natural, Conversational Interactions

1. SearchGPT: Attracts users who enjoy the simplicity of speaking with an AI that mimics human dialogue. It is particularly engaging for casual inquiries like “What’s an easy dinner recipe for tonight?” where a direct and friendly tone enhances user experience.
2. Google: Offers robust support for conversational queries but presents answers in a more structured format.

d. Reliability and Source Verification

1. Google: The go-to for users who require credibility and source verification, as it often showcases content from trusted websites.
2. SearchGPT: Works well for users seeking convenience and casual advice, although the lack of citations may be a drawback for those needing verifiable information.

Example Use Cases:

• Google: Best for research-heavy tasks, trip planning with real-time data, or finding multiple perspectives on a subject.

• SearchGPT: Ideal for getting instant answers to simple questions, casual advice, or having an engaging conversation on less critical topics.

Key Differences in User Experience

a. Speed and Convenience

1. SearchGPT: Offers quick, direct answers that cater to users seeking immediate responses with minimal effort. The conversational format provides clarity without requiring users to scan through various sources.
2. Google: While also fast, its detailed search results may require more interaction, which is helpful for thorough searches but less convenient for quick answers.

b. Depth vs. Simplicity

1. Google: Provides comprehensive results that cover multiple perspectives and offer extensive content for users who need detailed information.
2. SearchGPT: Prioritizes simplicity, delivering concise and clear responses that may not include the depth found in Google’s results but are suitable for straightforward queries.

c. Trust and Credibility

1. Google: Known for displaying content from reputable sources and including citations and links, which builds user trust.
2. SearchGPT: While engaging and user-friendly, it often lacks visible source references, which can affect its credibility for in-depth research.

d. Handling of Follow-up Questions

1. SearchGPT: Excels at handling follow-up questions seamlessly, creating a conversational flow that allows users to dig deeper without restarting the query.
2. Google: Requires users to manually refine or initiate a new search for follow-ups, although features like “People also ask” can provide related questions to guide further exploration.

e. Visual Interface and Interaction

1. Google: Utilizes rich media elements such as videos, images, and maps to present information, appealing to users who benefit from visual context.
2. SearchGPT: Delivers responses in a straightforward, text-based format, which is effective for quick information but lacks multimedia support, limiting the experience for visual learners or those looking for varied content.

Visual Interface Comparison

Google’s Visual Interface: Google’s search results page is designed to present a variety of information in a structured, visually engaging manner. Users encounter rich snippets, knowledge panels, embedded videos, images, and related links. This multi-faceted approach helps users find content that matches their preferences, whether they prefer reading detailed articles, viewing images, or watching videos.

Key Features:

1. Rich Media: Integrates multimedia elements, including videos, images, and maps, to enhance the search experience.
2. Structured Results: Provides a clear layout with features like knowledge panels and “People also ask” sections for easy navigation.
3. Interactive Elements: Enables users to engage directly with content, such as playing embedded videos or exploring local listings through maps.

SearchGPT’s Visual Interface: SearchGPT’s interface is simple, focusing on text-based responses that prioritize content clarity and conversational flow. The minimalist design ensures that users remain engaged with the response itself, promoting a more linear and distraction-free reading experience.

Key Features:

1. Minimalist Design: Keeps the interface clean and free from visual clutter, making responses easy to read and follow.
2. Scroll-Friendly: A straightforward format that supports an ongoing conversation in a single, seamless thread.
3. Interactive Dialogue: Facilitates continuous interaction by allowing users to ask follow-up questions without navigating away from the current page.

Final Verdict: SearchGPT Vs. Google For Informational Searches 

When it comes to voice searches, the choice between Google and SearchGPT depends heavily on user needs and preferences. Google is the go-to option for users who value depth, multimedia integration, and real-time data. Its ability to provide a wide range of content formats, from rich snippets to interactive maps, makes it ideal for comprehensive searches and those requiring up-to-date information or local details.

On the other hand, SearchGPT shines in delivering quick, conversational answers that mimic human interaction. Its simplified, text-based responses are perfect for users who appreciate direct and straightforward answers without the need to navigate multiple sources. This makes it a strong contender for casual inquiries and situations where users prefer an ongoing dialogue.

Ultimately, the decision between Google and SearchGPT for voice search depends on the user’s intent:

1. For detailed, multi-source exploration and real-time updates, Google remains unmatched.
2. For quick, context-specific answers and conversational interactions, SearchGPT offers a unique, engaging experience.

Both platforms have distinct strengths, and users may find value in using them complementarily based on their specific search needs.

Mastering the Future of Search and Marketing 

At upGrowth, we are committed to helping businesses and individuals stay ahead in the evolving landscape of digital marketing and search technology. By offering insights and strategies tailored to emerging tools like SearchGPT and trusted platforms like Google, we empower our audience to make informed decisions that enhance their online presence. Dive into our blog series to explore how to optimize your strategies for various search types and harness the best of both AI-driven and traditional search engines.

FAQs

1. Which search engine is better for handling conversational voice queries: Google or SearchGPT? 

Google is effective at understanding conversational voice queries and provides a range of results, including multimedia and related content. However, SearchGPT excels in delivering a more engaging and direct conversational response, making it ideal for users who prefer a simple, spoken interaction.

2. Can SearchGPT provide accurate, real-time information for voice searches? 

SearchGPT offers context-specific, conversational responses but does not always have real-time updates or live data integration. For time-sensitive queries or location-based searches with real-time needs, Google is a more reliable choice.

3. How does Google’s voice search handle follow-up questions compared to SearchGPT? 

Google provides structured follow-up suggestions through its “People also ask” feature, but users must click links to refine their searches. SearchGPT, on the other hand, facilitates a seamless, ongoing dialogue that allows users to ask follow-up questions naturally within the same conversation.

4. Is SearchGPT better than Google for simple, quick answers via voice search? 

Yes, SearchGPT is designed to deliver quick, concise answers in a conversational manner, making it ideal for straightforward questions. Google can provide simple answers as well, but its additional content may be more than needed for simple queries.

5. What are the strengths of Google for voice searches that SearchGPT may lack? 

Google’s strengths lie in its comprehensive search results, access to multimedia content, and integration with real-time data and location services. SearchGPT, while strong in delivering clear and direct answers, does not offer the same level of detail, multimedia support, or real-time updates.

6. Are there any scenarios where SearchGPT’s lack of multimedia support is a disadvantage for voice searches? 

Yes, users who rely on visual aids, such as instructional videos or images, may find SearchGPT’s text-based responses limiting. Google’s ability to integrate videos, images, and infographics can be more helpful for queries where visual learning is beneficial, like “How to assemble a bike.”

7. Is it possible to rely on both Google and SearchGPT for different types of voice searches? 

Absolutely. Many users may find it helpful to use both platforms based on their specific needs. For instance, SearchGPT can be used for simple, conversational queries, while Google is ideal for detailed searches, research, and tasks requiring multimedia support or real-time updates.

Glossary: Key Terms Explained

• Voice Search – A method of performing searches by speaking queries into devices with voice recognition, rather than typing.

• Long-Tail Queries – Specific, detailed search queries, often longer in length, that reflect precise user intent.

• Conversational Language – Natural, everyday language used in speech or writing that mirrors human dialogue.

• Question-Based Format – Search queries phrased as questions, typically starting with words like who, what, where, when, why, or how.

• Location-Based Searches – Queries that include or imply a geographical context, often seeking nearby businesses or services.

• Immediate Intent – Queries where users expect quick, actionable, and real-time responses.

• NLP (Natural Language Processing) – A field of AI that helps machines understand, interpret, and respond to human language.

• Featured Snippets – Highlighted search results displayed at the top of Google’s results, giving direct answers to queries.

• Knowledge Panel – An information box displayed on Google that provides key facts about entities like people, places, or organizations.

• Rich Snippets – Enhanced search results with extra visual or informational features, like ratings, images, or event details.

• People Also Ask – A Google search feature that displays related questions to help users explore topics further.

• Structured Data – Code added to webpages to help search engines better understand content and improve search result displays.

About the Author

Amol Ghemud

Optimizer in Chief

Amol has helped catalyse business growth with his strategic & data-driven methodologies. With a decade of experience in the field of marketing, he has donned multiple hats, from channel optimization, data analytics and creative brand positioning to growth engineering and sales.