7 Techniques for Speeding Up Your Keyword Research | Ep. #247
Marketing School - Digital Marketing and Online Marketing Tips
In Episode #247, Eric and Neil discuss the 7 techniques for speeding up your keyword research. Eric and Neil give you the top online tools to quicken your keyword research so that you can stay ahead of your competitors when it comes to how well you rank.
Time Stamped Show Notes:- 00:27 – Today’s topic: 7 Techniques for Speeding Up Your Keyword Research
- 00:35 – One is to go to Ahrefs and put in your competitor’s URL
- 00:45 – It will show you their popular keywords that help them rank well, their level of traffic, and the pages that are ranking
- 01:00 – Second is Google Search Console
- 01:15 – Go to the Google Analytics section and check your ranking
- 01:40 – Use SEMrush and see what your competitors are bidding on for a pay-per-click
- 02:07 – In keyword searching, you always have to keep up with the trends
- 02:23 – Use Google Trends and Google Autocomplete to know what people are looking for
- 02:43 – Fifth is MarketMuse
- 03:08 – Google checks how thorough your content is
- 03:22 – Sixth is Serpstat and you can get a deal with App Sumo
- 03:36 – It is an in-depth keyword/SEO tool
- 04:05 – Last is going through Google Search Console then Uber Suggest for the keyword you could be ranking for
- 04:56 – That’s it for today’s episode!
- Find out the keywords that are ranking well and use them so that your pages appear on Google’s first page search result.
- Be in the know in regards to what people are searching.
- Track if your keywords are consistently ranking and if necessary, make changes.
Leave some feedback:
- What should we talk about next? Please let us know in the comments below.
- Did you enjoy this episode? If so, please leave a short review.
Connect with us:
Learn more about your ad choices. Visit megaphone.fm/adchoices
See omnystudio.com/listener for privacy information.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Memorable statements and important claims with attribution and source context.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.