Ranking State is a concept in Koray’s Framework that explains the re-ranking algorithms and helps SEOs optimize their ranking-increasing efforts by understanding search engines. A website with a negative or positive ranking state increases its ranking potential or loses rankings according to the latest improvements on the website. Sometimes, slowing down the de-indexation or ranking decrease signals a positive change, while slowing down a ranking increase process signals the loss of momentum regarding a search engine’s trust.
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The specific SEO case study involves the past and current websites we are working on continuously or stopped working on months ago. The project’s first-hand data is presented to help SEOs around the globe recognize the multiple ranking patterns that search engines use. If an SEO project is in one of these ranking states, it will continue in that direction until a re-evaluation happens. Most of the time, the re-evaluation occurs when most web documents on the web source are changed or the web source has PageRank spikes with link velocity, design changes, and CMS changes.
Search engines chose websites to rank among billions of candidates. Some of these sources are eliminated earlier than others, thanks to early checks based on distributional semantics or uniqueness. A web source without added value can be seen as a pure spam website, while a web source with brand search demand can be tolerated for the same amount of spam.
Configuring these ranking factors and signals in a project requires leveraging the SEO Campaigns’ conditions, advantages, and resources. Some campaigns have good authors but 0 budget for backlinks, and some have great design but 0 brand search demand. Because of these different types of balances, a search engine optimization project can rank initially well, but it can go into a negative ranking state if it doesn’t exceed certain thresholds. A quality semantic content network can save a website from demotion and put it into a positive ranking state, but if the website doesn’t provide long-term direct traffic or brand search demand, the search engine might try other websites with higher brand search demand.
A search engine can understand different contexts and prioritize different types of web sources for these contexts. A search query such as “debt consolidation” might be seen in the context of “perform,” “definition,” or “laws,” and a law website, banking website, or digital information website can rank for different timelines.
Ranking States are changing according to the search engines’ needs, and websites compete for these contexts. Brand signals, semantic relevance, responsiveness, and external referrals, whether links or comments and reviews, constantly affect these factors by re-ranking web sources during significant updates such as broad core algorithm updates or spam and helpful content updates.
04:12 Don’t Rely Solely on Ranking Changes
05:07 Custom Click Curve for Analysis
06:42 SEO is a Continuous Journey
07:39 Configure Semantic Content Network
08:35 Explore Various Ranking Signals
10:23 Positive Ranking State Case Studies
13:25 Natural Ranking State and Momentum Loss
16:12 Naturalization and Click Loss
18:32 Continuous Optimization and Content Updates
19:56 Technical SEO Issues and Stabilization
20:10 Site Migration and Future Expectations
20:24 Website Redirect Strategy
21:06 Recovering Lost Rankings and Naturalization
23:54 Website Cleanup and Log File Analysis
25:03 Multilingual SEO Strategy
26:13 Quick Fixes for Negative Ranking States
27:36 Joining the Holistic SEO Community
28:04 Q&A Session Extension
Related other Videos:
1. https://www.youtube.com/watch?v=DoFTx8z5X2g&t=317s
2. https://www.youtube.com/watch?v=3cVEqwIb3pg&t=134s
3. https://www.youtube.com/watch?v=e4-iQEFnEeM&t=22s
4. https://www.youtube.com/watch?v=qrDPul4eAYw&t=10s
5. https://www.youtube.com/watch?v=DoFTx8z5X2g&t=317s
6. https://www.youtube.com/watch?v=3cVEqwIb3pg&t=134s
7. https://www.youtube.com/watch?v=e4-iQEFnEeM&t=22s
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