How to reduce website Spam Score?

Begin by eliminating poor-quality backlinks and getting rid of any content that might be considered spam. Most importantly, prioritize producing valuable, relevant content that draws authentic traffic over time.

 

Like most people posting in this thread, you obviously have no clue how MOZ calculate the Spam Score ... half of what you said will not affect the Spam Score.

 

You can reduce website spam score by removing toxic backlinks, disavowing harmful links, avoiding keyword stuffing, and ensuring high-quality, relevant content. Focus on earning natural backlinks from authoritative websites and maintaining clean technical SEO.

 

Oh ffs! Most of that does NOT affect the Spam Score!!!! Do you even know how MOZ even calculates the Spam Score? Do you even read threads before posting in them?

 

I never bothered to dig into how Moz pulls it off, so I asked Grok: https://x.com/i/grok?conversation=1957571775660773601. Turns out, it's not even close to what most folks here are saying.

Moz calculates the Spam Score using a machine learning model that analyzes 27 specific signals, or "spam flags," identified from millions of banned or penalized websites. These signals are correlated with characteristics common to spammy sites, and the score reflects the percentage of sites with similar features that Google has penalized or banned. The score ranges from 0% to 100%, with higher scores indicating a greater likelihood of spam-like behavior. Here are key aspects of how it’s calculated:

1. Spam Flags: Each of the 27 signals represents a potential indicator of spam, such as:
   • Low number of pages: Sites with few pages are often correlated with spam.
   • Spammy TLDs: Certain top-level domains (e.g., .biz, .info, .loan) are more associated with spam.
   • Domain name characteristics: Long domain names, numbers, or multiple hyphens in the domain can raise flags.
   • Lack of trust signals: Absence of Google Font API, Google Tag Manager, Doubleclick ads, or SSL certificates (HTTPS) is common in spam sites.
   • Content issues: Thin content, excessive meta keywords, or overly long/short meta descriptions and titles.
   • Link profile issues: Low backlink diversity, high ratio of dofollow to nofollow links, or excessive external links relative to content.
   • User experience signals: Lack of contact information, LinkedIn links, or favicons, and high bounce rates or poor UX.
   • Webspam topics: Use of "poison words" related to adult content, gambling, or pharmaceuticals in content or anchor text.

Find out more by clicking the link above.

 

yep; even Grok does not think it has anything to do with the actual content which so many posting in this thread claim it does.