What Is Link Blending (and How To Do It Fast) | Ep. #379
Marketing School - Digital Marketing and Online Marketing Tips
In Episode #379, Eric and Neil discuss what link blending is and how to do it fast. Tune in to learn how to execute link blending as a part of your process for boosting your rank. You’ll learn just what it takes to be in a “good neighborhood” with others who have similar content and keywords as you.
Time Stamped Show Notes:- 00:27 – Today’s topic: What Is Link Blending (and How To Do It Fast)
- 00:39 – Eric shares how his friendship with Neil started
- 00:41 – Eric was just starting when Neil wrote a post about link blending
- 00:45 – Since Eric didn’t understand what Neil’s post was about, Eric reached out to Neil to ask more questions about link blending
- 01:01 – Link blending is when someone links out to you, like a Wikipedia article for example, and ranks for the keyword you want to rank for
- 01:12 – Then, they will link to someone who is in the top 20 for the keyword that you want to rank for without using an anchor text for other links—Google will read that you’re in a good neighborhood
- 01:33 – It’s easier to control link blending if you’re building links through black hat ways
- 01:39 – In link blending, you should know who’s linking to your competitors that are at the top
- 01:43 – If you build links to those sites, you’ll be in a good neighborhood
- 01:51 – Your ranking will grow faster
- 01:53 – If someone is already ranking for your keyword and links to you from their page, your rankings will go up because your content is similar
- 02:03 – Link blending is a way to make sure you’re in a good neighborhood and your links are relevant
- 02:15 – There’s a template that needs to be followed in guest posting
- 02:48 – There’s a lot of link blending happening with guest posting in big publications
- 03:17 – Link blending is a process that is good to have on your checklist
- 03:34 – Marketing School is giving away a free 1 year subscription to Crazy Egg which is a visual analytics tool
- 03:59 – Go to SingleGrain.com/giveaway for multiple entries
- 04:11 – That’s it for today’s episode!
- Link blending is about being in a good neighborhood with sites that have relevant content who also rank well.
- Guest posting helps with link blending, but there’s a template or process that needs to be made and followed.
- Link blending is a process that is good to have on your checklist.
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.