Top Keyword Research Tools 2024

Top Free Keyword Research Tools

Top Free Keyword Research Tools

5 Reliable Free Keyword Research Tools In 2024

Top Free Keyword Research Tools

              Keyword research tools are essential for anyone involved in digital markets, search engine optimization (SEO), content creation, or online advertising. These tools help to identify the terms and phrases people search on search engines like Google, Bing, and Yahoo. Below is the introduction to 5 Free keyword research tools:

  • Google Keyword Planner 
  • ChatGpt
  • UberSuggest
  • Answer the Public

Google Keyword Planner

             The Google Keyword Planner is a tool by Google within its Google Ads platform. It’s mainly used for keyword research and helps advertisers find the right keywords to target their advertising campaigns. The tool provides insights into keyword search volume, competition level, and suggested offer prices for advertising on those keywords.

To use the Google Keyword Planner, you need a Google Ads account. Once logged in, you can access the Keyword Planner tool from the Tools menu in your Google Ads dashboard.

Experience By Users:

               Users find the Google Keyword Planner valuable for keyword research and advertising campaigns. Below are some experiences and feedback:

  1. Giving Extended Keyword Suggestions.
  2. Insightful Metrics.
  3. Historical Data( for Identifying Trends and Seasonal Patterns).
  4. Location and Language Targeting.
  5.  Seamless Integration with Google Ads.
  6. Ongoing Campaign Planning and Optimization.

Data Quality:

              The Data Quality in the Google Keyword Planner is considered reliable, but it’s essential to understand its limits and potential biases.

 Some factors to consider regarding data quality in the Keyword Planner:

  • The search volume data by the Keyword Planner is just Google’s internal data and algorithms. It may offer valuable insights into the relative popularity of keywords. These are estimates and not exact reflects.
  • The accuracy of search volume calculations depends on the geographic location, language, and search network settings.
  • Metrics like competition level and suggested offer prices are estimates based on Google’s data. They guide advertisers but may not always reflect the competitiveness of a keyword or the actual cost-per-click (CPC) advertisers will experience.
  • The Keyword Planner provides historical data on search volume trends, allowing users to specify seasonal patterns and trends over time.
  • The Keyword Planner cannot give data for all keywords, mainly long-tail or niche keywords with lower search volumes.
  • Keyword Planner by Google Ads focuses on supporting advertisers in their paid advertising campaigns. 
  • The Keyword Planner helps to discover relevant keywords related to their products, services, or topics of interest.
  • It provides search volumes for keywords, guiding users to understand popular terms. This information decides which keywords to target in advertising campaigns or content creation.
  • Users’ level of competition for specific keywords helps them estimate the difficulty of ranking for those terms or to compete in advertising auctions.
  • The Keyword Planner offers proposed bid prices for keywords, which can be great for planning advertising budgets and optimizing campaign performance.
  • Users can specify geographic locations and language preferences for more relevant keyword suggestions tailored to their target audience.
  • The Keyword Planner is seamless with Google Ads, allowing users to transfer their keyword research into advertising campaigns and create ad groups directly from the tool.
  • Full access to the Keyword Planner needs a Google Ads account, and some features are restricted based on account spending or activity history.
  • The tool is for advertisers. The data and features support paid advertising campaigns. This bias may not fully serve the users focused on organic search optimization.
  • The Keyword Planner will not provide data for all keywords, particularly long-tail or niche keywords with lower search volumes. This limit restricts the depth of keyword research possible within the tool.
  • Though the data provided by the Keyword Planner is reliable, it is a must to know that search volume estimates, competition levels, and bid suggestions are based on algorithms and will not perfectly reflect real-world conditions.
  • Keyword Planner lacks advanced features and functionalities, like in-depth competitor analysis, keyword difficulty scores, or trend forecasting.


            ChatGPT is an innovative solution balanced at the convergence of artificial intelligence and keyword research. It represents a Standard shift in keyword research, utilizing the power of cutting-edge AI technology to simplify the process and deliver actionable understandings. Developed by OpenAI, ChatGPT is built upon state-of-the-art natural language processing algorithms, enabling it to comprehend, generate, and analyze text with incredible proficiency.

Experience by Users:

Users get assisted with keyword research by utilizing a vast database of information and understanding language patterns. Here’s how the experience of using ChatGPT for keyword research unfolds:

  • Understanding the Specific Needs. 
  • Generate Seed Keywords related to the topic.
  • Expand user’s Keyword Ideas.
  • Analyzing Competitors.
  • Provide Insights and suggestions on relevance and keyword popularity.
  • Continuous until user satisfaction.
  •  Giving User Content Ideations.

Data Quality:

The quality of data in ChatGPT is vital for generating accurate and relevant keyword suggestions. Below is how data quality is relevant to keyword research in ChatGPT:

  • ChatGPT suggests keywords on the trained quality and diversity of the data. A robust training dataset from reputable sources and coverage of a wide range of topics and language patterns help the model for meaningful and contextually suitable keyword suggestions.
  • The quality of keyword suggestions generated by ChatGPT depends on its understanding of language and context.
  • The quality of keyword research by ChatGPT can be by the source of data it has access to.
  • ChatGPT’s ability to filter out noise and irrelevant information from the data is crucial for keyword research.
  • High-quality training data helps the model differentiate between relevant and unrelated terms, resulting in accurate keyword suggestions.
  • User feedback has a meaningful role in improving the quality of keyword research by ChatGPT. 

By giving feedback on the relevance and benefit of keyword suggestions, users can help the model learn and distill its keyword generation capabilities over time.

  • ChatGPT generates keyword suggestions quickly and efficiently, saving time compared to manual keyword research methods.
  • It provides a wide range of keyword suggestions, like synonyms, long-tail variations, and related terms, to uncover new keyword opportunities.
  • ChatGPT understands natural language to generate contextually relevant keyword suggestions based on the input provided, improving the quality of keyword research.
  • ChatGPT is available round-the-clock, allowing users to conduct keyword research at any time without human availability.
  • ChatGPT is cost-effective for keyword research for individuals or small businesses with limited budgets who cannot afford premium keyword research tools.
  • ChatGPT suggests keywords based on the data trained, which may not cover all relevant sources or industries. It can result in missed keyword opportunities or inaccurate suggestions.
  • ChatGPT does not provide metrics like search volume or competition for keywords essential for evaluating keyword viability in SEO campaigns.
  • Like any AI, ChatGPT may exhibit biases in training data, leading to uneven keyword suggestions or mounting of existing biases in keyword research.
  • ChatGPT can generate keyword suggestions based on input but doesn’t accurately analyze user intent.
  • ChatGPT’s keyword suggestions are with input. These limits customized options compared to dedicated keyword research tools that offer advanced filtering and customization features.


          UberSuggest was a widely-used keyword research tool developed by Neil Patel, a well-known digital marketer. It aims to provide a grip on keyword trends, search volume, competition analysis, and other metrics useful for SEO (Search Engine Optimization) and content marketing strategies. UberSuggest allows users to conduct keyword research to discover relevant keywords and phrases related to their niche or topic.

Experience by Users:

Users typically found UberSuggest Helpful for:

  • Keyword Suggestions.
  • Monthly estimates of Specific Search Volume Data.
  • Insights of difficult Keyword ranking.
  • Competitor Analysis.
  • Provides Backlink Data.
  • Content Ideas based on trends and Keyword research.

Data Quality:

  • UberSuggest estimates monthly search volumes for keywords. That gives a general idea of search demand, which is not always accurate.
  • UberSuggest provides a metric for keyword difficulty, indicating how difficult it might be to rank for a particular keyword.
  • UberSuggest allows users to analyze competitor websites and see the keywords that are ranking. These can provide valuable insights into competitor strategies.
  • UberSuggest provides data backlinks, including the number of backlinks and referring domains. It can help understand a website’s authority and SEO performance. Not all backlinks are of equal value. Quality matters more than quantity when it comes to backlinks.
  • UberSuggest provides a range of keyword suggestions based on a seed keyword or phrase, helping users discover new and relevant keywords.
  • The tool offers estimates of monthly search volumes for specific keywords, giving users an understanding of the popularity and demand for terms.
  • UberSuggest provides metrics for keyword difficulty, helping users measure the competitiveness of keywords and prefer SEO efforts accordingly.
  • Users analyze competitor websites to see the keywords that rank for, helping identify potential opportunities and understand the competitive landscape.
  • UberSuggest suggests SEO content ideas based on keyword research and trends to identify topics relevant to the audience.
  • The tool provides information on backlinks, including the number of backlinks and referring domains.
  • UberSuggest provides valuable insights, but the accuracy of its data can vary.
  • UberSuggest offers a free version of its tool, but many of its advanced features and data are only available to paid subscribers.
  • UberSuggest may have a learning curve for users new to SEO or digital marketing. It takes time to understand the use of all features.
  • UberSuggest provides insights into competitors’ keywords and rankings but will not capture all relevant competitors or accurately reflect their strategies. 

Answer the Public

               Answer the Public is a keyword research tool that generates an understanding of what people are searching for online. It collects search queries from various sources, including search engines like Google, to provide a comprehensive overview of common questions, phrases, and topics related to a particular keyword or topic.

Experience by Users:

Users have found Answer the Public a valuable tool for understanding the language and questions when searching for information online. Below are some experiences shared by users:

  • For Insightful Content Ideas.
  • Enhanced SEO Strategies. 
  • Identifying Long-Tail Keywords. 
  • Understanding User Intent.
  • Competitive Analysis in Keywords and Topics.

Data Quality:

Answer the Public sums data from search engine autocomplete suggestions and related searches.

  • The tool aims to provide accurate keyword data based on search queries.
  • Answer the Public attempts to filter out irrelevant or spammy suggestions.
  • The tool will not capture every possible search query related to a given keyword.
  • The tool depends on the user interaction with search engines to generate data.
  • The visual presentation of data in Answer the Public, like the search cloud or search wheel, makes it effortless to interpret and analyze keyword trends. 
  • Answer the Public helps to generate content ideas by providing insights into the questions, phrases, and topics people are searching for online.
  • It uncovers long-tail keywords and niche topics that are not readily evident through traditional keyword research methods.
  • Users can gain insights into the intent after search queries, Allowing them to create content that aligns with the needs at different stages of the buyer’s journey.
  • Answer the Public helps users optimize their website content and meta tags by identifying relevant keywords and phrases by searchers.
  • Answer the Public can be used for competitive analysis by comparing the keywords and topics that generate interest within a particular industry or niche.
  • Answer the Public primarily relies on search engine autocomplete suggestions and related searches for data that provides an overview of common queries that will not capture less common or niche keywords.
  • The accuracy of the data can vary, as it depends on user interaction with search engines to generate suggestions. Some may be outdated, irrelevant, or influenced by factors like location and search history.
  • It has limited customization options, which will not meet the specific needs of all users.
  • Advanced filtering and sorting options, which are not available, can be challenging to refine and analyze the generated data.
  • The data depends on factors like search engine algorithms, user behavior, and data sources. Changes can impact the relevance and accuracy of the generated suggestions.
  • Answer the Public offers a free version only with basic functionality.

    is a keyword research tool designed to help users identify relevant keywords for their content marketing, search engine optimization (SEO), and advertising campaigns. It generates keyword suggestions based on the seed keyword or phrase provided by the user. These suggestions are related to the original keyword and can help users discover additional terms and phrases.

Experience by Users:

  • Easy of Use. 
  • Wide range of Keyword Suggestions to users.
  •  Accurate data about Keyword trends.
  • Customizable Options.
  • Export and Integrating Keyword Data.
  • Customer Support.
  • Value for Money. 

Data Quality:

  • relies on search engines and databases to gather keyword data. The quality of these sources can impact the quality of the data provided.
  •  Reputable sources typically result in more accurate and reliable keyword suggestions and metrics.
  • provides metrics like search volume, keyword difficulty, and trend data.
  • aims to provide metrics accurately that users should interpret with an understanding of potential limitations and variations.
  • The breadth and depth of keyword coverage influence the tool’s usefulness. A wide range of relevant keywords ensures users access comprehensive insights into their target topics and industries.
  • Regular updates to’s database and algorithms are crucial for maintaining data accuracy and relevance.
  • incorporates user feedback and iterates on its features and functionalities to improve data quality.
  • likely employs filters and validation mechanisms to ensure the quality of its data.
  • Clear documentation and transparency regarding data sources, methodologies, and limitations can instill trust in the tool’s users. 
  • generates a vast range of keyword suggestions based on a seed keyword or phrase, helping users discover relevant keywords and aiding in content creation and SEO strategies.
  • The tool provides information on the search volume for each keyword suggestion, allowing users to prioritize keywords. This data helps users understand the popularity and demand for specific keywords.
  • often suggests long-tail keywords, which are more specific and less competitive.
  • offers insights into keyword trends, showing their popularity over time. These help users identify emerging topics and adjust to their content strategies.
  • offers features for analyzing competitors’ keywords.
  • Users can filter and sort keyword suggestions based on criteria like search volume, competition level, and keyword length.
  • offers options to export keyword data in various formats, making it easy for other tools and platforms, simplifying the keyword research process, and enhancing workflow efficiency.
  • offers a free version, but it often comes with limitations compared to paid plans.
  •’s subscription plans for some users are disadvantageous, especially those with limited budgets or small-scale projects.
  • highly aims to provide accurate keyword data, but the quality of its suggestions can vary.
  • relies on data from search engines like Google, Bing, Yahoo, and others. Changing search algorithms or data from these sources can impact the tool’s effectiveness and reliability.
  • Keyword suggestions provided by may lack context or insights into user intent. 


              Keyword research tools in digital marketing, content creation, and search engine optimization (SEO) strategies have a vast role. They offer numerous benefits like keyword suggestions, search volume data, trend insights, and competitor analysis. These tools help users discover relevant keywords, understand their audience’s search behavior, and optimize their content to improve visibility and rankings on search engines. They also have some limitations and considerations. Users should be mindful of data accuracy, subscription costs, learning curves, and dependency on search engines. 

author avatar
Shiny S Marketing Strategist
Shiny is a marketing strategist with 5+ years of experience. Currently at CodeRenowned, she develops data-driven growth strategies for businesses, backed up by industry insights. Passionate about continuous learning, Shiny dedicates her free time to business research, ensuring she stays ahead of the curve in her field.

About the Author

Shiny S

Shiny is a marketing strategist with 5+ years of experience. Currently at CodeRenowned, she develops data-driven growth strategies for businesses, backed up by industry insights. Passionate about continuous learning, Shiny dedicates her free time to business research, ensuring she stays ahead of the curve in her field.

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