What Is Negative SEO? | Ep. #253
Marketing School - Digital Marketing and Online Marketing Tips
In Episode #253, Eric and Neil discuss what negative SEO is. Tune in to know how you can protect your site from negative SEO and the way Google works in regards to dishing out penalties and pushing one’s website ranking down.
Time Stamped Show Notes:- 00:27 – Today’s topic: What Is Negative SEO?
- 00:32 – Negative SEO is when someone pushes your SEO down
- 00:43 – A good example of this is when someone builds porn or casino links to your site
- 00:56 – It becomes negative SEO when you begin to rank lower
- 01:03 – Negative SEO is when Google starts to filter you
- 01:13 – Eric thinks of SEO as an over-optimization cup
- 01:21 – Each size has a different cup size
- 01:23 – Big sites like Amazon have bigger cups and more room for errors
- 01:57 – Once you hit your cup limit, that’s when Google starts to hit you with penalties
- 02:37 – Neil sees this happening in the aggressive industries
- 02:46 – Some people are taking websites that have spammy links and they link them to their website
- 03:00 – Google is improving their algorithm to fight negative SEO
- 03:11 – Make sure you continue to update your disavow file with Google Webmaster Tool
- 03:50 – Eric doesn’t worry about negative SEO as much as he did before
- 04:03 – The Marketing School is giving away 5 annual copies of Ahrefs this week
- 04:10 – To enter, subscribe, rate and review the Marketing School Podcast
- 04:16 – Text MARKETINGSCHOOL to 33444
- 05:14 – That’s it for today’s episode!
- Negative SEO pushes your ranking down—beware of people who links with negative content to your site.
- Consistently track and update your disavow file— this will help a lot.
- In the end, don’t worry too much about negative SEO as there is only so much you can do.
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.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
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.